ArticlePDF Available

Inferring genetic origins and phenotypic traits of George Bähr, the architect of the Dresden Frauenkirche

Authors:

Abstract and Figures

For historic individuals, the outward appearance and other phenotypic characteristics remain often non-resolved. Unfortunately, images or detailed written sources are only scarcely available in many cases. Attempts to study historic individuals with genetic data so far focused on hypervariable regions of mitochondrial DNA and to some extent on complete mitochondrial genomes. To elucidate the potential of in-solution based genome-wide SNP capture methods - as now widely applied in population genetics - we extracted DNA from the 17th century remains of George Bähr, the architect of the Dresdner Frauenkirche. We were able to identify the remains to be of male origin, showing sufficient DNA damage, deriving from a single person and being thus likely authentic. Furthermore, we were able to show that George Bähr had light skin pigmentation and most likely brown eyes. His genomic DNA furthermore points to a Central European origin. We see this analysis as an example to demonstrate the prospects that new in-
Content may be subject to copyright.
1
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
www.nature.com/scientificreports
Inferring genetic origins and
phenotypic traits of George Bähr,
the architect of the Dresden
Frauenkirche
Alexander Peltzer
1,2, Alissa Mittnik
2,3, Chuan-Chao Wang
2,4, Tristan Begg2,
Cosimo Posth2,3, Kay Nieselt
1 & Johannes Krause
2,3
For historic individuals, the outward appearance and other phenotypic characteristics remain often
non-resolved. Unfortunately, images or detailed written sources are only scarcely available in many
cases. Attempts to study historic individuals with genetic data so far focused on hypervariable regions
of mitochondrial DNA and to some extent on complete mitochondrial genomes. To elucidate the
potential of in-solution based genome-wide SNP capture methods - as now widely applied in population
genetics - we extracted DNA from the 17th century remains of George Bähr, the architect of the
Dresdner Frauenkirche. We were able to identify the remains to be of male origin, showing sucient
DNA damage, deriving from a single person and being thus likely authentic. Furthermore, we were able
to show that George Bähr had light skin pigmentation and most likely brown eyes. His genomic DNA
furthermore points to a Central European origin. We see this analysis as an example to demonstrate the
prospects that new in-solution SNP capture methods can provide for historic cases of forensic interest,
using methods well established in ancient DNA (aDNA) research and population genetics.
Advances in modern molecular biology methods and the resulting possibility of extracting genetic information
even from ancient specimens, has led to various attempts to reconstruct the genetic legacy of historic individ-
uals. One of the rst attempts was made in 2007 on Sven Estridsen, the last Danish Viking king1, who died
in 1074 AD. Other attempts in reconstructing the genetic legacy of historic individuals include the cases of
Francesco Petrarca2, the identication of the family of Tsar Nicholas II of Russia3, the famous astronomer Nicolas
Copernicus4, King Richard III of England5, the Dark Countess6, a proposed blood sample from King Louis XVI
king of France7 and most recently the Belgian King Albert I8. In all of these cases, (except for King Louis XVI,
where an Exome and shallow WGS approach was performed), either partial mitochondrial information, such as
the hypervariable sequence HVS-I, HVS-II or D-Loop of the mitochondria, or a full mitochondral genome were
sequenced. While this is sucient for investigating maternal ancestry lines, it provides little resolution on genetic
origin. Foremost, when focusing on mitochondrial data only, there is no information on the paternal ancestry
obtained. Additionally, the prediction of disease risks or phenotypic traits such as hair and eye color are not pos-
sible when only mitochondrial information is available. While the availability of cheaper sequencing methods
and ecient mitochondrial capture techniques enabled researchers to move from targeting control regions to
whole mitochondria, the reconstruction of a full high coverage human genome from ancient human remains via
high throughput sequencing still remains costly9. In population genetics, where large cohorts of individuals are
studied, the cost pressure urged researchers to move on to more cost-ecient and large-scale methods. is has
led to the development of specialized in-solution capture methods that target a pre-dened set of SNP positions,
as introduced by Haak et al.10,11. In population genetics of ancient human individuals, these methods are now
widely applied to recover population specic diagnostic markers. While these approaches target up to 3.7 M SNP
positions12 aiming at solely retrieving population diagnostic SNPs in a previously unrivaled resolution, the set of
1Integrative Transcriptomics, Center for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany.
2Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, 07745, Germany.
3Institute for Archaeological Sciences, University of Tübingen, Tübingen, 72070, Germany. 4Department of
Anthropology and Ethnology, Xiamen University, Xiamen, 361005, China. Correspondence and requests for materials
should be addressed to J.K. (email: krause@shh.mpg.de)
Received: 6 September 2017
Accepted: 11 January 2018
Published: xx xx xxxx
OPEN
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
2
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
targeted SNPs includes information about various other diagnostic markers as well13. is enables a more detailed
phenotypic and disease specic analysis of historic individuals on a much broader level than before.
Unlike for population genetics studies, the focus within forensic case studies is shied to the identication of
individuals and prediction of phenotypic traits. In the case of the historical gure focused on in this study, George
Bähr, the main goal was to investigate how much information can be retrieved by modern in-solution SNP cap-
ture methods for such studies and whether the approach is generally suitable for characterizing historic individ-
uals. George Bähr is most widely known for his work as architect of several churches and in particular the iconic
Dresdner Frauenkirche, an important monument in German history due to its destruction in the last few weeks
of the Second World War and its recent reconstruction aer the German reunication. Born on the
15th
of March
1666 in the village of Fürstenwalde, south of Dresden, as the son of a weaver14,15, George Bähr moved to Dresden
in 1690 and aer several years of work as a carpenter, he was appointed Master Carpenter of the city of Dresden
in 170516. During his time there, he was responsible for building both general housing and churches, such as the
Orphanage Church in Dresden (1710), the Trinity Church in Schmiedeberg (1713–1716) and several other
churches in Forchheim, Königstein, Hohnstein and Kesselsdorf14. In 1722, he began work on his most ambitious
project, the Dresdner Frauenkirche. In 1730, he was granted the title of Architect for his service to the city of
Dresden over the previous decade, including his work on the Frauenkirche14,15. Unfortunately, Bähr was unable
to see this most prominent piece of work in its full glory, as he died following a pulmonary edema at the age of 72
in 1738, ve years before the church was nished14. His skeletal remains were initially buried in the Johannis
cemetery. However, they were ultimately moved to the crypt of the Frauenkirche in 18541417, aer the cemetery
was desecrated and moved to a dierent location in the city. Unfortunately, there are no written excerpts or paint-
ings that can be used by historians to gain an impression of the physical and personal appearance of George Bähr.
Unlike for other famous architects, such as Matthäus Daniel Pöppelmann of the same century18, there is almost
no material other than basic family background available for George Bähr. Even the most complete biographical
and historical works, such as the ones by Möllering17, Fischer15 and the most recent biography by Gerlach14,
including intensive archival research, did not reveal any more detailed information on him. Aer the reconstruc-
tion of the Dresdner Frauenkirche, from 1990 to 2005, parts of his skeletal remains were found. In order to obtain
biological information such as physical appearance and potential risk alleles for genetically inherited diseases
from this historic person of interest, we were provided by the George Bähr foundation with bone samples from
his skeletal remains. rough in-solution capture, we were able to obtain high coverage genome wide data from
George Bähr and used that information to reconstruct his genetic ancestry and phenotypic traits such as skin and
eye color. In addition, we found about a dozen risk alleles for medical conditions, including some that might have
contributed to his death.
Results
In total, three independent sequencing experiments were conducted: an initial whole genome shallow shotgun
sequencing to determine parameters such as endogenous DNA content, a mitochondrial DNA capture to obtain a
full mitochondrial genome and a 390 K SNP capture to obtain high density SNP information on George Bähr. e
analysis of the rst shallow whole genome shotgun sequencing (WGS), showed a total endogenous DNA content
of 62.2%. e mitochondrial DNA capture resulted in a 395 X covered mitochondrial genome, accompanied by
two high density SNP in solution capture libraries for population and disease specic SNP detection. On the lat-
ter, a mean depth of 28.19 X coverage on the target dataset of 390 K SNPs published in Haak et al.10 was achieved,
spanning a total of 317,990 SNPs (with 80% target eciency of the capture). e rst aim was to authenticate
the analyzed DNA to be of historic origin. In order to authenticate the sequenced fragments, the terminal substi-
tution rates were investigated. Typical double stranded aDNA libraries show cytosine to thymine misincorpora-
tions at the 5 end and guanine to adenine misincorporations at the 3 ends19,20. ese characteristic substitutions
accumulate over time and are caused by deamination of cytosine causing miscoding lesions21. As can be seen in
Fig.1, which was created on the intial WGS shallow sequencing run data, up to 7% damage on both 3 and 5
ends of the reads can be observed, conrming the presence of ancient DNA.e nuclear 390 K capture libraries
were treated with UDG, following a protocol by Briggs et al.20 to remove damage patterns for improved analysis.
e same analysis of the (non-UDG treated) mitochondrial capture library showed identical damage patterns as
the initial whole genome shotgun library, as well as minimal mitochondrial contamination as described below,
increasing the condence that the samples indeed contain authentic ancient DNA.
In order to conrm whether the sampled individual was male, a molecular sex determination analysis was
done on the sequencing data of the 390 K capture. e results as shown in Table1 show, that the individual was
indeed male.
To further exclude a potential contamination of the sampled individual with human DNA from other sources,
a mitochondrial contamination test was performed. e estimated mitochondrial contamination was reported to
be very low with levels between 0–2%. Quality and authenticity are a major concern in the eld of ancient DNA.
e last decade has seen a large array of methods to estimate DNA contamination23 as well as reliable criteria for
authenticity such as DNA damage patterns21,24. We followed those criteria strictly and used standard methods to
estimate mitochondrial and nuclear contamination rates based on heterozygocity of the mitochondrial genome
as well as the sex chromosomes. We can show that the DNA extracted from the remains of George Bähr come
from a single male individual that shows damage patterns indicative of at least 100 year old DNA21. We therefore
conclude the authentic ancient origin of the specimens DNA. A total number of 1,163 known SNPs25 on chromo-
some X covered at least twice were analyzed, resulting in a very low X-chromosomal contamination estimate of
0.003% with an estimated error of
.
E7391683 18
26.
Aer the initial verication and authentication process, the paternal and maternal origin of George Bähr
was determined. For this purpose, a complete 395 X coverage mitochondrial genome of George Bähr was recon-
structed and a quality ltered (q > 30) consensus sequence of his genome was created using schmutzi27. His
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
3
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
maternal haplogroup was determined to be H35 using Haplogrep 228, which is a common subclade of haplogroup
H in Central Europe29. Furthermore, the Y chromosomal haplogroup of George Bähr was determined to be
R1b1a2a1a2-P312 (Table2). e assigned Y-chromosomal haplogroup is the most common Y chromosome clade
of paternal lineages across much of Western Europe, showing a frequency peak in the upper Danube basin and
Paris area with declining frequency towards Italy, Iberia, Southern France and the British Isles30.
Figure 1. Damage plot for the 5 and 3 ends of sequenced reads. Both 5 and 3 read ends show
≈ .75%
DNA
damage on the rst respective bases, which is a typical pattern observed for ancient DNA. Since the damage
patterns in the initial WGS screening run and the mitochondrial capture experiment are identical, only the
WGS screening damage plot is shown here for simplicity. Plots have been created with DamageProler.
Sample Coverage on chr X Coverage on chr Y Autosomal Coverage
.cov Ycov Auto()/( )
BährAB 10.84 14.68 38.23 0.38
Table 1. Normalized results of sex determination on the skeletal remains of George Bähr. e last column
describes the fraction of coverage on the Y chromosome versus the coverage on the autosome. Fu et al. reported
that a ratio of
< .005
can be considered a female individual and a Y-rate
> .02
is assured to be a male individual22.
e results therefore indicate strongly that the investigated individual was male.
SNP Haplogroup Other Names for SNP rs ID
Allele Information
Y-Position(hg19) ancestral-derived-Bähr Depth
P312 R1b1a2a1a2 PF6547; S116 rs34276300 22157311 C-A-A 65
L52 R1b1a2a1a PF6541 rs13304168 14641193 C-T-T 1
L151 R1b1a2a1a PF6542 rs2082033 16492547 C-T-T 35
P311 R1b1a2a1a PF6545; S128 rs9785659 18248698 A-G-G 19
P310 R1b1a2a1a PF6546; S129 rs9786283 18907236 A-C-C 19
M412 R1b1a2a1 L51; PF6536; S167 rs9786140 8502236 G-A-A 22
L23 R1b1a2a PF6534; S141 rs9785971 6753511 G-A-A 7
L265 R1b1a2 PF6431 rs9786882 8149348 A-G-G 6
PF6438 R1b1a2 NA NA 9464078 C-T-T 1
L150.1 R1b1a2 PF6274.1; S351.1 rs9785831 10008791 C-T-T 72
M269 R1b1a2 NA rs9786153 22739367 T-C-C 1
L320 R1b1a NA rs2917400 4357591 C-T-T 1
P297 R1b1a PF6398 rs9785702 18656508 G-C-C 1
Table 2. Y-Haplotyping results, determined using the ISOGG database.
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
4
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
A principal components analysis, conducted on 317,990 SNP positions, revealed that George Bähr’s SNP pro-
le matches with proles commonly found in modern central European individuals as shown in Fig.2. To further
explore the relatedness of George Bähr to European populations, an outgroup
f3
analysis was performed, conrm-
ing the initial PCA results, as shown in Fig.3. To further test whether Africans, South Asians, East Asians, Native
Americans and Oceanians share more anity with George Bähr than with present-day Hungarian, Croatian and
French populations, an
analysis was also performed. e statistics as shown in Table3 imply that there was no
extra ancestry from outside Europe in George Bähr. e results from an unsupervised ADMIXTURE33 analysis
also showed no external genetic components in the genome of George Bähr (Fig.4).
Next, phenotypically interesting SNPs that are considered to be aected by selection were investigated. With
the information obtained by the 390 K SNP capture experiment, George Bähr most likely had brown eyes and
light skin, as shown in Table4. is resembles modern individuals from the same area of Germany, where such a
phenotype is commonly found today34. Furthermore, Bähr was most likely lactose tolerant as he was heterozygous
for the RS4988235 mutation on the LCT gene35,36, again a typical phenotype for central Europeans. e 390K SNP
capture panel does not include SNPs that can be used to determine hair color.
To further elucidate what high density SNP capture methods can provide on such specimen, an extensive
literature survey was performed using SNPedia and the database mining tool Promethease44. e results of this
analysis are shown in detail in Table5. Several potential candidate mutations were found in George Bähr that are
commonly found in modern European populations, such as a variant responsible for the ability to taste bitter-
ness45,46. Interestingly, we also found a large number of SNPs associated with modern diseases like Type-2 diabe-
tes, hypertension and coronary artery disease, which could potentially be related47 to his reported cause of death,
pulmonary edema14. Furthermore, a rare variant responsible for age related macular degeneration48 was found to
be present in George Bähr’s genome.
Discussion
Investigating historic individuals based on genetic data still remains challenging and can only shed light on cer-
tain aspects of an individual, such as eye and hair color and a set of well established disease markers. Previous
studies on historic individuals16,8 solely focused on the control region of the mitochondrial DNA and in some
cases on full mitochondrial genomes. Although this enabled the analysis of at least the maternal relatedness of
historic individuals, the analysis of Y-chromosomal data accompanied by a set of autosomal genetic markers per-
mits researchers to recreate a more detailed genetic picture of historic individuals than before.
Within the scope of this project, a complete mtDNA sequence from the skeletal remains of George Bähr and
additionally a set of 317,990 SNPs from his autosomes were retrieved. Standard examination of characteristic
Figure 2. PCA plot generated with EIGENSOFT31,32 with representative modern West-Eurasian populations.
George Bähr is marked with a red triangle, clustering next to Central and Eastern European populations.
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
5
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
damage patterns on the initial shotgun screening data and the mitochondrial capture data suggest an ancient
origin for the investigated remains. Very low contamination estimates on mitochondrial and Y-Chromosomal
level also showed that the retrieved DNA was authentic and no modern human contamination was found. George
Bähr’s maternal haplogroup was determined to be H35 and the Y haplogroup was determined to be
R1b1a2a1a2-P312, both commonly found in Central European modern populations. Based on phenotypic anal-
ysis, George Bähr had brown eyes, light skin pigmentation and was able to digest lactose in adulthood. e pop-
ulation genetic analysis of ancestry with both
f3
and
statistics as well as an ADMIXTURE analysis on the set of
317,990 SNPs conrmed previous ndings on the mitochondrial level: George Bähr was of Central European
descent and shared no additional genetic components with populations outside Europe.
Unfortunately, there is not much of a historic record on George Bähr’s private life. us any information that
can be obtained on a genetic level that elucidates and enlarges information on him could be important, given his
contributions to the history of the city of Dresden. Although George Bähr lived a relatively long life given his time
period, his cause of death may have been a pulmonary edema as stated by several authors14. His genetic make
up might have contributed to his death given the detected number of variants found related to obesity, diabetes,
hypertension and coronary artery disease, which are now widely seen as high- risk factors for such a cause of
death63. Although this seems promising in terms of genetic evidence, a direct correlation of such risk factors with
an actual cause of death still remains dicult. We see our results as an example of how genome wide information
can help to reveal more information on historic individuals for whom scarce or incomplete personal details are
available. Written evidence describes that George Bähr’s remains were initially buried at the Johannis cemetery
of Dresden and later moved to the crypt of the Frauenkirche in 18541417. Unfortunately, given the time period of
the reburial and the demolished condition of the Frauenkirche aer the Second World War, we cannot exclude
entirely the possibility of skeletal mixup. However, our reconstructed genetic prole as well as the historical pro-
venience of the human remains suggest that the analyzed specimens indeed belong to George Bähr.
Figure 3. Outgroup
f3
plot for George Bähr. Dark colored areas highlight more distant populations, white
highlight closer populations with respect to George Bähr (marked with a red box).
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
6
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
With the rise of cost-ecient in-solution based SNP capture methods, historic samples can now be investi-
gated in a much more detailed way than ever before. In contrast to previous methods that focused on mitochon-
dria or control regions, the additional information obtained using established SNP capture protocols can provide
much more information for researchers or historians to investigate more complex forensic, population genetic
and medical questions. Although genetic methods with respect to phenotype predictions made some progress
in the last few years, one must keep in mind that direct connections between genotype and phenotype are still
challenging. Estimating personal characteristics from genetic data, such as the height or appearance of an indi-
vidual are in their early stages, as shown for example by Mathieson et al.13. For even more detailed predictions,
e.g. facial reconstructions these direct relationships between genotype and phenotype still remain unresolved.
Furthermore, the quality of historic genome data is usually inferior to modern genome data and typically intro-
duces additional error sources, rendering statistically profound statements in the context of phenotypic analysis
even more complicated.
New and updated capture protocols are incorporating more diagnostic positions and thus provide now even
more SNPs for downstream medical and population genetics analysis in the future. We therefore believe that the
current SNP capture methods are just the beginning for studies of historic individuals. For example, Mathieson
et al.13 stated that larger cohort studies, such as the one conducted by Mallick et al.64, could reveal more and more
diagnostically relevant SNPs and associations between SNPs that can hopefully help resolve such questions in
more detail in future.
Methods
Ancient DNA extraction & Initial Screening. Bone samples were taken under standard precaution and
clean conditions from the skeletal remains of George Bähr, which had been placed in the crypt of the Dresdner
Frauenkirche. We performed DNA extraction and library preparation steps in clean-room facilities. Bone powder
was collected using a dental drill and subsequently DNA was extracted using an established protocol65. We pro-
duced indexed libraries using 20 μ aliquot of the generated extract, following the protocol of Meyer et al.66.
Additionally, the libraries were enriched for human mitochondrial DNA in a bead based capture protocol using
long-range PCR products as bait for hybridization as introduced by Maricic et al.67. We included one negative
control for every step of DNA extraction and library preparation to ensure consistency of results. DNA
Worldwide populations Outgroup Europeans Bähr
f4
Z
Mbuti Chimp Hungarian Bähr 0.000108 0.344
Yoruba Chimp Hungarian Bähr 0.000187 0.587
Kalash Chimp Hungarian Bähr 0.000089 0.23
Papuan Chimp Hungarian Bähr 0.00052 1.196
Ami Chimp Hungarian Bähr 0.000055 0.129
Han Chimp Hungarian Bähr 0.000123 0.297
Karitiana Chimp Hungarian Bähr 0.000451 0.996
Eskimo Chimp Hungarian Bähr 0.000358 0.844
Selkup Chimp Hungarian Bähr 0.000121 0.298
Uzbek Chimp Hungarian Bähr 0.000187 0.488
Mbuti Chimp Croatian Bähr 0.000041 0.128
Yoruba Chimp Croatian Bähr 0.000065 0.199
Kalash Chimp Croatian Bähr 0.000078 0.196
Papuan Chimp Croatian Bähr 0.000558 1.243
Ami Chimp Croatian Bähr 0.000181 0.415
Han Chimp Croatian Bähr 0.000032 0.076
Karitiana Chimp Croatian Bähr 0.000315 0.671
Eskimo Chimp Croatian Bähr 0.000281 0.648
Selkup Chimp Croatian Bähr 0.00003 0.072
Uzbek Chimp Croatian Bähr 0.000132 0.335
Mbuti Chimp French Bähr 0.000008 0.024
Yoruba Chimp French Bähr 0.000003 0.011
Kalash Chimp French Bähr 0.000064 0.166
Papuan Chimp French Bähr 0.000524 1.232
Ami Chimp French Bähr 0.000225 0.538
Han Chimp French Bähr 0 0.001
Karitiana Chimp French Bähr 0.000202 0.453
Eskimo Chimp French Bähr 0.000153 0.364
Selkup Chimp French Bähr 0.00002 0.051
Uzbek Chimp French Bähr 0.000189 0.498
Table 3.
f4
statistics results between worldwide populations, Chimp, Europeans and Bähr.
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
7
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
sequencing was performed in an initial screening run for the enriched library pools on the Illumina Genome
Analyzer IIx platform with
×+276 7
cycles, following the instruction manual for multiplex sequencing
(FC-104-400x v4 sequencing chemistry and PE-203-4001 v4 cluster generation kit). In contrast to the manual, the
raw reads were aligned to the PhiX 174 reference sequence to obtain training data for a modied base calling
Figure 4. ADMIXTURE graph created with K = 7 for the set of elaborated reference populations. George Bähr
can be found within the variance of Central European populations, here highlighted with a red rectangle.
SNP
Gene
LCT SLC45A2 SLC45A5 EDAR HERC2
rs4988235 rs16891982 rs1426654 rs3827760 rs12913832
Ancestral G C G A A
Derived A G A G G
Coverage
×39
×114
8
×
×43
46
×
Derived allele
frequency 50% 100% 100% 0% 57%
Table 4. Phenotyping results of George Bähr. To ensure consistency, the analysis was limited to high quality
bases (q > 30) and duplicates were removed aer merging of both sequencing libraries. e SNP RS4988235 in
LCT is responsible for lactase persistence in Europe37,38. Both SNPs at SLC24A5 and SLC45A2 are considered to
be responsible for light skin pigmentation39, whereas the SNP in HERC2 is the primary determinant of light eye
color in present-day Europeans40,41. e SNP in the gene EDAR aects tooth morphology and hair thickness42,43,
and was not found to be derived in the investigated sample. All these results were obtained on the 390K SNP
capture dataset.
Potentially pathogenic and phenotypically relevant SNPs
rs ID Eect Citation
rs1333049 Associated with coronary artery disease 4951
rs2383206 / rs10757274 Associated with coronary artery disease 52
rs5186 7.3x increased risk of Hypertension 53,54
rs1061170 5.9x increased risk of age related macular degeneration 48
rs1121980 Early onset obesity 55
rs1421085 Obesity 56,57
rs9939609 Obesity / Diabetes 58
rs13266634 Diabetes 59
rs4506565 Associated with Diabetes 60
rs17817449 Associated with Body weight & increased BMI 61,62
rs10246939 Able to taste bitterness 45,46
Table 5. Potentially pathogenic and phenotypically relevant SNPs found in George Bähr.
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
8
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
application called Ibis68. e reads were then ltered according to their individual indices and went into RAW
data processing.
Nuclear 390 K capture. In the clean room facilities of the Institute for Archeological Sciences in Tübingen,
Germany, two further libraries from
μl20
extract each were produced in a similar fashion to the screening
library, but additionally implementing a UDG and endonuclease
VIII
damage repair treatment20, to remove
deaminated bases. e libraries were amplied to reach an amount of about
ng1,000
DNA for each which was
subsequently used in an in-solution hybridization capture approach11, targeting a set of
394,577
SNPs10. DNA
sequencing was performed on a HiSeq 2500 with
×2101
cycles.
RAW data processing and authentication. General RAW data processing for the initial shallow whole
genome sequencing (WGS), mitochondrial capture dataset and the 390 K SNP capture data was done using the
EAGER pipeline69. In all cases, sequence adapters were clipped with Clip&Merge with default settings and the
paired end reads were merged respectively. For the initial WGS and the 390 K SNP capture data, the read mapping
procedure was performed with BWA70 0.7.15 and reads were mapped against the hg19 human reference genome.
For the mitochondrial capture data, reads were mapped against the rCRS reference genome. e CircularMapper
approach as implemented in EAGER was used with default settings to increase mapping qualities towards the
ends of the utilized mitochondrial reference genome. In all three datasets, WGS, 390 K and mitochondrial cap-
ture, DNA damage authentication was performed using our in-house tool DamageProler to determine whether
characteristic misincorporation patterns of aDNA are present in the investigated datasets21. In addition, the mito-
chondrial data was tested for potential contamination in the EAGER pipeline using schmutzi27. On the 390 K cap-
ture data, the “MoM” estimate from “Method 1” as well as the “new_llh” X-chromosomal authentication method
in ANGSD26 was used to quantify potential autosomal contamination on the X chromosome. Furthermore, a
molecular sex identication of the remains of George Bähr was performed using the method previously described
in Fu et al.22. is approach calculates the number of reads mapping against the target SNPs on the Y chromosome
and compares this to the total number of reads mapping against the target SNPs on the autosome. An empirical
threshold from the literature (see71) was then used to determine whether the investigated individual was male or
female.
Y-chromosomal analysis. e Y chromosomal haplogroup was determined by examining a set of diagnos-
tic positions on chromosome Y using the ISOGG database version 11.228 (August 19, 2016), utilizing all available
positions on the 390 K capture dataset. In order to perform this analysis, the analysis was restricted to reads with a
mapping quality higher than 30. Further detailed investigations revealed that mutations separating George Bähr
from upstream Y haplogroups such as R1b1a2a1a (see Table2) are present. For potential haplogroups within the
clade investigated R1b1a2a1, R1b1a2a and R1b1a2 (see Table2) characteristic mutations were found, which made
the placement of George Bähr in Y haplogroup R1b1a2a1a2-P312 most likely.
Population Specic analysis. Principal components analysis. A principal components analysis using the
smartpca method available in EIGENSOFT31,32 was performed using default parameters and the options lsqpro-
ject: YES and numoutlieriter: 0. e investigated sample was projected onto the variation of 777 present-day West
Eurasians with
317,990
SNPs10.
Admixture. An ADMIXTURE33 analysis was performed aer pruning the data for linkage disequilibrium in
PLINK72 with the parameters–indep-pairwise 200 25 0.4 retaining 181,529 SNPs of the 390 K capture dataset10.
ADMIXTURE was executed with default 5-fold cross validation, varying the number of ancestral populations
between K = 2 and K = 15 in bootstraps of 100 with dierent random seeds. Again, 777 modern West Eurasians
and individuals from worldwide representative populations such as Mbuti, Yoruba, Han, Papuan, Karitiana,
Eskimo, Uzbek, Amim, Selkup and Kalash were used for the analysis. e lowest cross-validation errors were
observed with K = 7.
Outgroup
f3
/
statistics. Additionally,
f3
statistics of the form
̈fBX(Mbuti;ahr,)
3
were calculated to test which
West Eurasian populations share the most genetic dri with George Bähr. is analysis was performed using
ADMIXTOOLS73 with the parameter settings inbreed: YES, computing standard errors with a block jackknife.
For the computation of
statistics of the form
̈fB(Worldwidepopulations, Chimp; Europeans, ahr)
4
ADMIXTOOLS73 was applied and again standard errors were computed with a block jackknife.
Phenotypic analysis. Aer uploading a VCF le74 to the respective web service Promethease, a more detailed
report is created stating potential causes for diseases as well as phenotypic traits. To ensure that found variants
are indeed trustworthy, the IGV tool was used to manually conrm the ndings of the method before reporting75.
References
1. Dissing, J. et al. e last Viing ing: A royal maternity case solved by ancient DNA analysis. Forensic Sci. Int. 166, 21–27 (2007).
2. Pilli, E. et al. Ancient DNA and forensics genetics: e case of Francesco Petrarca. Forensic Science International: Genetics Supplement
Series 1, 469–470 (2008).
3. ogaev, E. I. et al. Genomic identication in the historical case of the Nicholas II royal family. Proceedings of the National Academy
of Sciences 106, 5258–5263 (2009).
4. Bogdanowicz, W. et al. Genetic identication of putative remains of the famous astronomer Nicolaus Copernicus. Proceedings of the
National Academy of Sciences 106, 12279–12282 (2009).
5. ing, T. E. et al. Identication of the remains of ing ichard III. Nat. Commun. 5, 5631 (2014).
6. Parson, W., Berger, C., Sänger, T. & Lutz-Bonengel, S. Molecular genetic analysis on the remains of the Dar Countess: evisiting the
French oyal family. Forensic Sci. Int. Genet 19, 252–254 (2015).
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
9
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
7. Olalde, I. et al. Genomic analysis of the blood attributed to Louis XVI (1754-1793), ing of France. Sci. ep 4, 4666 (2014).
8. Larmuseau, M. H. D. et al. Biohistorical materials and contemporary privacy concerns-the forensic case of ing Albert I. Forensic
Sci. Int. Genet 24, 202–210 (2016).
9. Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409–413
(2014).
10. Haa, W. e t al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015).
11. Fu, Q. et al. DNA analysis of an early modern human from Tianyuan Cave, China. Proceedings of the National Academy of Sciences
110, 2223–2227 (2013).
12. Fu, Q. et al. An early modern human from omania with a recent Neanderthal ancestor. Nature 524, 216–219 (2015).
13. Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015).
14. Gerlach, S. George Bähr: der Erbauer der Dresdner Frauenirche: ein Zeitbild (Böhlau Verlag öln Weimar, 2005).
15. Fischer, H. Forschungen zu George Bähr und dem sächsischen Baroc I. und II. Teil. Ph.D. thesis, Dresden (1967).
16. Magirius, H. Die Dresdner Frauenirche von George Bähr: Entstehung und Bedeutung (Deutscher Verlag für unstwissenscha,
2005).
17. Möllering, W. George Bähr, ein protestantischer irchenbaumeister des Baroc (Leipzig, 1933).
18. Gross, . et al. Matthäus Daniel Pöppelmann, 1662–1736, und die Architetur der Zeit Augusts des Staren (Verlag der unst Dresden,
Dresden, 1990).
19. Briggs, A. W. et al. Patterns of damage in genomic DNA sequences from a Neandertal. Proceedings of the National Academy of
Sciences 104, 14616–14621 (2007).
20. Briggs, A. W. et al. emoval of deaminated cytosines and detection of in vivo methylation in ancient DNA. Nucleic Acids es 38,
e87–e87 (2010).
21. Sawyer, S., rause, J., Guschansi, ., Savolainen, V. & Pääbo, S. Temporal patterns of nucleotide misincorporations and DNA
fragmentation in ancient DNA. PLoS One 7, e34131 (2012).
22. Fu, Q. et al. e genetic history of Ice Age Europe. Nature 534 (2016).
23. ey, F. M., Posth, C., rause, J., Herbig, A. & Bos, . I. Mining Metagenomic Data Sets for Ancient DNA: ecommended Protocols
for Authentication. Trends Genet. 33, 508–520 (2017).
24. Stoneing, M. & rause, J. Learning about human population history from ancient and modern genomes. Nat. ev. Genet. 12,
603–614 (2011).
25. asmussen, M. et al. An Aboriginal Australian Genome eveals Separate Human Dispersals into Asia. Science 334, 94–98 (2011).
26. orneliussen, T. S., Albrechtsen, A. & Nielsen, . ANGSD: Analysis of Next Generation Sequencing Data. BMC Bioinformatics 15,
356 (2014).
27. enaud, G., Slon, V., Duggan, A. T. & elso, J. Schmutzi: estimation of contamination and endogenous mitochondrial consensus
calling for ancient DNA. Genome Biol. 16, 224 (2015).
28. Weissensteiner, H. et al. HaploGrep 2: mitochondrial haplogroup classication in the era of high-throughput sequencing. Nucleic
Acids es 44, W58–W63 (2016).
29. Behar, D. M. et al. A Copernican eassessment of the Human Mitochondrial DNA Tree from its oot. Am. J. Hum. Genet. 90,
675–684 (2012).
30. Myres, N. M. et al. A major Y-chromosome haplogroup 1b Holocene era founder eect in Central and Western Europe. Eur. J.
Hum. Genet. 19, 95–101 (2011).
31. Patterson, N., Price, A. L. & eich, D. Population structure and eigenanalysis. PLoS Genet. 2, e190 (2006).
32. Price, A. L. et al. Principal components analysis corrects for stratication in genome-wide association studies. Nat. Genet. 38,
904–909 (2006).
33. Alexander, D. H., Novembre, J. & Lange, . Fast model-based estimation of ancestry in unrelated individuals. Genome es. 19,
1655–1664 (2009).
34. Sulem, P. et al. Genetic determinants of hair, eye and sin pigmentation in Europeans. Nat. Genet. 39, 1443–1452 (2007).
35. Troelsen, J. T. Adult-type hypolactasia and regulation of lactase expression. Biochimica et Biophysica Acta (BBA) - General Subjects
1723, 19–32 (2005).
36. Wang, Y. et al. e genetically programmed down-regulation of lactase in children. Gastroenterology 114, 1230–1236 (1998).
37. Bersaglieri, T. et al. Genetic Signatures of Strong ecent Positive Selection at the Lactase Gene. Am. J. Hum. Genet. 74, 1111–1120
(2004).
38. Enattah, N. S. et al. Identication of a variant associated with adult-type hypolactasia. Nat. Genet. 30, 233–237 (2002).
39. Soejima, M. & oda, Y. Population dierences of two coding SNPs in pigmentation-related genes SLC24A5 and SLC45A2. Int. J.
Legal Med. 121, 36–39 (2006).
40. Eiberg, H. et al. Blue eye color in humans may be caused by a perfectly associated founder mutation in a regulatory element located
within the HEC2 gene inhibiting OCA2 expression. Hum. Genet. 123, 177–187 (2008).
41. Sturm, . A. et al. A Single SNP in an Evolutionary Conserved egion within Intron 86 of the HEC2 Gene Determines Human
Blue-Brown Eye Color. Am. J. Hum. Genet. 82, 424–431 (2008).
42. imura, . et al. A Common Variation in EDA Is a Genetic Determinant of Shovel-Shaped Incisors. Am. J. Hum. Genet. 85,
528–535 (2009).
43. Fujimoto, A. et al. A s can for genetic determinants of human hair morphology: EDA is associated with Asian hair thicness. Hum.
Mol. Genet. 17, 835–843 (2007).
44. Cariaso, M. & Lennon, G. SNPedia: a wii supporting personal genome annotation, interpretation and analysis. Nucleic Acids es
40, D1308–D1312 (2012).
45. im, U.-. Positional Cloning of the Human Quantitative Trait Locus Underlying Taste Sensitivity to Phenylthiocarbamide. Science
299, 1221–1225 (2003).
46. eed, D. . et al. e perception of quinine taste intensity is associated with common genetic variants in a bitter receptor cluster on
chromosome 12. Hum. Mol. Genet. 19, 4278–4285 (2010).
47. Ware, L. B. & Matthay, M. A. Acute Pulmonary Edema. N. Engl. J. Med. 353, 2788–2796 (2005).
48. Despriet, D. D. G. et al. Complement Factor H Polymorphism, Complement Activators, and is of Age-elated Macular
Degeneration. JAMA 296, 301 (2006).
49. Ye, S., Willeit, J., ronenberg, F., Xu, Q. & iechl, S. Association of Genetic Variation on Chromosome 9p21 With Susceptibility and
Progression of Atherosclerosis. J. Am. Coll. Cardiol. 52, 378–384 (2008).
50. Cluett, C. et al. e 9p21 Myocardial Infarction is Allele Increases is of Peripheral Artery Disease in Older People. Circ.
Cardiovasc. Genet 2, 347–353 (2009).
51. Farzaneh-Far, ., Na, B., Schiller, N. B. & Whooley, M. A. Lac of association of chromosome 9p21.3 genotype with cardiovascular
structure and function in persons with stable coronary artery disease: e Heart and Soul Study. Atherosclerosis 205, 492–496
(2009).
52. McPherson, . et al. A Common Allele on Chromosome 9 Associated with Coronary Heart Disease. Science 316, 1488–1491 (2007).
53. Wang, W. Y., Zee, . Y. & Morris, B. J. Association of angiotensin II type 1 receptor gene polymorphism with essential hypertension.
Clin. Genet 51, 31–34 (1997).
Content courtesy of Springer Nature, terms of use apply. Rights reserved
www.nature.com/scientificreports/
10
Scientific REPORTS | (2018) 8:2115 | DOI:10.1038/s41598-018-20180-z
54. Bonnardeaux, A. et al. Angiotensin II type 1 receptor gene polymorphisms in human essential hypertension. Hypertension 24, 63–69
(1994).
55. Hinney, A. et al. Genome Wide Association (GWA) Study for Early Onset Extreme Obesity Supports the ole of Fat Mass and
Obesity Associated Gene (FTO) Variants. PLoS One 2, e1361 (2007).
56. Dina, C. et al. Variation in FTO contributes to childhood obesity and severe adult obesity. Nat. Genet. 39, 724–726 (2007).
57. Claussnitzer, M. et al. FTO Obesity Variant Circuitry and Adipocyte Browning in Humans. N. Engl. J. Med. 373, 895–907 (2015).
58. Frayling, T. M. et al. A Common Variant in the FTO Gene Is Associated with Body Mass Index and Predisposes to Childhood and
Adult Obesity. Science 316, 889–894 (2007).
59. Omori, S. et al. Association of CDAL1, IGF2BP2, CDN2A/B, HHEX, SLC30A8, and CNJ11 With Susceptibility to Type 2
Diabetes in a Japanese Population. Diabetes 57, 791–795 (2008).
60. Burton, P. . et al. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447,
661–678 (2007).
61. Do, . et al. Genetic Variants of FTO Inuence Adiposity, Insulin Sensitivity, Leptin Levels, and esting Metabolic ate in the
Quebec Family Study. Diabetes 57, 1147–1150 (2008).
62. Cha, S. W. et al. eplication of Genetic Eects of FTO Polymorphisms on BMI in a orean Population. Obesity 16, 2187–2189
(2008).
63. Wong, N. D. Epidemiological studies of CHD and the evolution of preventive cardiology. Nat. ev. Cardiol 11, 276–289 (2014).
64. Mallic, S. et al. e Simons Genome Diversity Project: 300 genomes from 142 diverse populations. Nature 538, 201–206 (2016).
65. ohland, N. & Hofreiter, M. Ancient DNA extraction from bones and teeth. Nat. Protoc. 2, 1756–1762 (2007).
66. Meyer, M. & ircher, M. Illumina Sequencing Library Preparation for Highly Multiplexed Target Capture and Sequencing. Cold
Spring Harb. Protoc 2010, db.prot5448–pdb.prot5448 (2010).
67. Maricic, T., Whitten, M. & Pääbo, S. Multiplexed DNA Sequence Capture of Mitochondrial Genomes Using PC Products. PLoS
One 5, e14004 (2010).
68. ircher, M., Stenzel, U. & elso, J. Improved base calling for the Illumina Genome Analyzer using machine learning strategies.
Genome Biol. 10, 83 (2009).
69. Peltzer, A. et al. EAGE: ecient ancient genome reconstruction. Genome Biol. 17, 60 (2016).
70. Li, H. & Durbin, . Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 26, 589–595 (2010).
71. Mittni, A., Wang, C.-C., Svoboda, J. & rause, J. A Molecular Approach to the Sexing of the Triple Burial at the Upper Paleolithic
Site of Dolní Vĕstonice. PLoS One 11, e0163019 (2016).
72. Purcell, S. et al. PLIN: A Tool Set for Whole-Genome Association and Population-Based Linage Analyses. Am. J. Hum. Genet. 81,
559–575 (2007).
73. Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (2012).
74. Danece, P. et al. e variant call format and VCFtools. Bioinformatics 27, 2156–2158 (2011).
75. obinson, J. T. et al . Integrative genomics viewer. Nat. Biotechnol. 29, 24–26 (2011).
Acknowledgements
We want to thank Kajo Kusen and the George Bähr Stiung Dresden for their help in getting access to the skeletal
remains of George Bähr. Furthermore, we wanted to express our deepest gratitude to Dr. Siegfried Gerlach for his
personal help in collecting literature and written information on George Bähr. We wanted to furthermore thank
Judith Neukamm for proof reading. C.C.W was supported by the Max Planck Society and Nanqiang Outstanding
Young Talents Program of Xiamen University.
Author Contributions
J.K. designed the experiments. J.K. carried out the skeletal sampling. A.M. and C.P. performed the ancient DNA
experiments. A.P. and T.B. researched literature and archival data on George Bähr. A.P., A.M. and C.C.W. analyzed
the data. A.P. wrote the manuscript with contributions from all co-authors. All authors read and approved the
manuscript.
Additional Information
Competing Interests: e authors declare that they have no competing interests.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and
institutional aliations.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre-
ative Commons license, and indicate if changes were made. e images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not per-
mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
© e Author(s) 2018
Content courtesy of Springer Nature, terms of use apply. Rights reserved
1.
2.
3.
4.
5.
6.
Terms and Conditions
Springer Nature journal content, brought to you courtesy of Springer Nature Customer Service Center GmbH (“Springer Nature”).
Springer Nature supports a reasonable amount of sharing of research papers by authors, subscribers and authorised users (“Users”), for small-
scale personal, non-commercial use provided that all copyright, trade and service marks and other proprietary notices are maintained. By
accessing, sharing, receiving or otherwise using the Springer Nature journal content you agree to these terms of use (“Terms”). For these
purposes, Springer Nature considers academic use (by researchers and students) to be non-commercial.
These Terms are supplementary and will apply in addition to any applicable website terms and conditions, a relevant site licence or a personal
subscription. These Terms will prevail over any conflict or ambiguity with regards to the relevant terms, a site licence or a personal subscription
(to the extent of the conflict or ambiguity only). For Creative Commons-licensed articles, the terms of the Creative Commons license used will
apply.
We collect and use personal data to provide access to the Springer Nature journal content. We may also use these personal data internally within
ResearchGate and Springer Nature and as agreed share it, in an anonymised way, for purposes of tracking, analysis and reporting. We will not
otherwise disclose your personal data outside the ResearchGate or the Springer Nature group of companies unless we have your permission as
detailed in the Privacy Policy.
While Users may use the Springer Nature journal content for small scale, personal non-commercial use, it is important to note that Users may
not:
use such content for the purpose of providing other users with access on a regular or large scale basis or as a means to circumvent access
control;
use such content where to do so would be considered a criminal or statutory offence in any jurisdiction, or gives rise to civil liability, or is
otherwise unlawful;
falsely or misleadingly imply or suggest endorsement, approval , sponsorship, or association unless explicitly agreed to by Springer Nature in
writing;
use bots or other automated methods to access the content or redirect messages
override any security feature or exclusionary protocol; or
share the content in order to create substitute for Springer Nature products or services or a systematic database of Springer Nature journal
content.
In line with the restriction against commercial use, Springer Nature does not permit the creation of a product or service that creates revenue,
royalties, rent or income from our content or its inclusion as part of a paid for service or for other commercial gain. Springer Nature journal
content cannot be used for inter-library loans and librarians may not upload Springer Nature journal content on a large scale into their, or any
other, institutional repository.
These terms of use are reviewed regularly and may be amended at any time. Springer Nature is not obligated to publish any information or
content on this website and may remove it or features or functionality at our sole discretion, at any time with or without notice. Springer Nature
may revoke this licence to you at any time and remove access to any copies of the Springer Nature journal content which have been saved.
To the fullest extent permitted by law, Springer Nature makes no warranties, representations or guarantees to Users, either express or implied
with respect to the Springer nature journal content and all parties disclaim and waive any implied warranties or warranties imposed by law,
including merchantability or fitness for any particular purpose.
Please note that these rights do not automatically extend to content, data or other material published by Springer Nature that may be licensed
from third parties.
If you would like to use or distribute our Springer Nature journal content to a wider audience or on a regular basis or in any other manner not
expressly permitted by these Terms, please contact Springer Nature at
onlineservice@springernature.com
... In the last decade, several genetic studies have been conducted on the skeletal remains of famous figures from the past, such as Nicolaus Copernicus [38] and King Richard III [39], as well from lesser-known individuals [40,41] or mass graves victims of the Spanish Civil War [42] and Second World War [43]. These studies, conducted by interdisciplinary teams of geneticists, archaeologists, anthropologists, and historians, were excellent trials to assess the performance of standard and emerging technologies, as well as solving historical and archeological questions [38][39][40][41][42][43][44][45][46]. ...
... In the last decade, several genetic studies have been conducted on the skeletal remains of famous figures from the past, such as Nicolaus Copernicus [38] and King Richard III [39], as well from lesser-known individuals [40,41] or mass graves victims of the Spanish Civil War [42] and Second World War [43]. These studies, conducted by interdisciplinary teams of geneticists, archaeologists, anthropologists, and historians, were excellent trials to assess the performance of standard and emerging technologies, as well as solving historical and archeological questions [38][39][40][41][42][43][44][45][46]. ...
Article
Full-text available
In this article, we describe multiple analytical strategies that were first developed for forensic purposes, on a set of three bone samples collected in 2011. We analyzed a single bone sample (patella) collected from the artificially mummified body of the Baron Pasquale Revoltella (1795–1869), as well two femurs which allegedly belonged to the Baron’s mother (Domenica Privato Revoltella, 1775–1830). Likely due to the artificial mummification procedures, the inner part of the Baron’s patella allowed the extraction of high-quality DNA yields, which were successfully used for PCR-CE and PCR-MPS typing of autosomal, Y-specific, and mitochondrial markers. The samples extracted from the trabecular inner part of the two femurs yielded no typing results by using the SNP identity panel, whereas the samples extracted from the compact cortical part of the same bone samples allowed genetic typing, even by the employment of PCR-CE technology. Altogether, 10/15 STR markers, 80/90 identity SNP markers, and HVR1, HVR2, and HVR3 regions of the mtDNA were successfully typed from the Baron’s mother’s remains by the combined use of PCR-CE and PCR-MPS technologies. The kinship analysis showed a likelihood ratio of at least 9.1 × 106 (corresponding to a probability of maternity of 99.9999999%), and thus confirmed the identity of the skeletal remains as those of the Baron’s mother. This casework represented a challenging trial for testing forensic protocols on aged bones samples. It highlighted the importance of accurately sampling from the long bones, and that DNA degradation is not blocked by freezing at −80 °C.
... For eye, hair, and skin color prediction, the HIrisPlex and HIrisPlex-S systems supported by large genotype and phenotype databases are used [13]. Several studies have applied HIrisPlex and HIrisPlex-S systems to samples extracted from chronological old and even ancient bones and teeth [14,15], and some historical questions have been answered through comparison of EVC prediction and historical documentation [1,[16][17][18][19]. ...
Article
Full-text available
It is very important to generate phenotypic results that are reliable when processing chronological old skeletal remains for cases involving the identification of missing persons. To improve the success of pigmentation prediction in Second World War victims, three bones from each of the eight skeletons analyzed were included in the study, which makes it possible to generate a consensus profile. The PowerQuant System was used for quantification, the ESI 17 Fast System was used for STR typing, and a customized version of the HIrisPlex panel was used for PCR-MPS. The HID Ion Chef Instrument was used for library preparation and templating. Sequencing was performed with the Ion GeneStudio S5 System. Identical full profiles and identical hair and eye color predictions were achieved from three bones analyzed per skeleton. Blue eye color was predicted in five skeletons and brown in three skeletons. Blond hair color was predicted in one skeleton, blond to dark blond in three skeletons, brown to dark brown in two skeletons, and dark brown to black in two skeletons. The reproducibility and reliability of the results proved the multisample analysis method to be beneficial for phenotyping chronological old skeletons because differences in DNA yields in different bone types provide a greater possibility of obtaining a better-quality consensus profile.
... Even if aDNA is poorly preserved, and if it shows low DNA quantity and quality, high susceptibility for contamination, and the presence of inhibitors [41], several studies have successfully predicted pigmentation of ancient skeletons. With comparison of predicted colors and historical documentation, a Polish general was positively verified [16], and some other historical questions have been solved [29,58]. Pigmentation traits were predicted for the remains of King Richard III of England [42], and even for skeletons several hundred years old, it has been possible to obtain information about what people's ancestors looked like [83]. ...
Article
Full-text available
Phenotypic trait prediction in ancient DNA analysis can provide information about the external appearance of individuals from past human populations. Some studies predicting eye and hair color in ancient adult skeletons have been published, but not for ancient subadult skeletons, which are more prone to decay. In this study, eye and hair color were predicted for an early medieval adult skeleton and a subadult skeleton that was anthropologically characterized as a middle-aged man and a subadult of unknown sex about 6 years old. When processing the petrous bones, precautions were taken to prevent contamination with modern DNA. The MillMix tissue homogenizer was used for grinding, 0.5 g of bone powder was decalcified, and DNA was purified in Biorobot EZ1. The PowerQuant System was used for quantification and a customized version of the HIrisPlex panel for massive parallel sequencing (MPS) analysis. Library preparation and templating were performed on the HID Ion Chef Instrument and sequencing on the Ion GeneStudio S5 System. Up to 21 ng DNA/g of powder was obtained from ancient petrous bones. Clean negative controls and no matches with elimination database profiles confirmed no contamination issue. Brown eyes and dark brown or black hair were predicted for the adult skeleton and blue eyes and brown or dark brown hair for the subadult skeleton. The MPS analysis results obtained proved that it is possible to predict hair and eye color not only for an adult from the Early Middle Ages, but also for a subadult skeleton dating to this period.
... Molecular genetics techniques in forensics can be used for ancient DNA (aDNA) analyses, and various questions about the human past can be answered together with anthropological and archaeological findings. Some prominent and famous people from history have been genetically identified [12,24,26,28,35,40,56], and some historical questions have been solved through genetic testing [1,4,54]. Kinship analyses have been performed on Neolithic [37], Late Bronze Age Parson et al. 2018; Palomo-Díez et al., [51,55], and medieval human remains [21]. ...
Article
The familial relationship between skeletons buried together in a shared grave is important for understanding the burial practices of past human populations. Four skeletons were excavated from the Late Antiquity part of the Bled–Pristava burial site in Slovenia, dated to the 5th to 6th century. They were anthropologically characterized as two adults (a middle-aged man and a young woman) and two non-adults (of unknown sex). Based on stratigraphy, the skeletons were considered to be buried simultaneously in one grave. Our aim was to determine whether the skeletons were related. Petrous bones and teeth were used for genetic analysis. Specific precautions were followed to prevent contamination of ancient DNA with contemporary DNA, and an elimination database was established. Bone powder was obtained using a MillMix tissue homogenizer. Prior to extracting the DNA using Biorobot EZ1, 0.5 g of powder was decalcified. The PowerQuant System was used for quantification, various autosomal kits for autosomal short tandem repeat (STR) typing, and the PowerPlex Y23 kit for Y-STR typing. All analyses were performed in duplicate. Up to 28 ng DNA/g of powder was extracted from the samples analyzed. Almost full autosomal STR profiles obtained from all four skeletons and almost full Y-STR haplotypes obtained from two male skeletons were compared, and the possibility of a familial relationship was evaluated. No amplification was obtained in the negative controls, and no match was found in the elimination database. Autosomal STR statistical calculations confirmed that the adult male was the father of two non-adult individuals and one young adult individual from the grave. The relationship between the males (father and son) was additionally confirmed by an identical Y-STR haplotype that belonged to the E1b1b haplogroup, and a combined likelihood ratio for autosomal and Y-STRs was calculated. Kinship analysis confirmed with high confidence (kinship probability greater than 99.9% was calculated for all three children) that all four skeletons belonged to the same family (a father, two daughters, and a son). Through genetic analysis, the burial of members of the same family in a shared grave was confirmed as a burial practice of the population living in the Bled area in Late Antiquity.
... Alongside the archeo-anthropological studies, paleogenetic analyses are an important research tool for the contextualization and the enhancement of skeletal materials (King et al., 2014;Peltzer et al., 2018;Booth 2019;Lombardo et al., 2019;Iadarola et al., 2021). The study of ancient DNA (aDNA) from bones, teeth and recently from calcified plaque, has made it possible to investigate not only the human evolution and history (Allentoft et al., 2015;Vai et al., 2019a;Hajdinjak et al., 2021;Prüfer et al., 2021;Posth et al., 2021), but also the lifestyle and health of the past populations (Adler et al., 2013;Warinner et al., 2014;Modi et al., 2021), as well as the origin and diffusion of the diseases (Spyrou et al., 2019 and references therein). ...
Article
Lipari, the largest of the Aeolian Islands, is located in the southern Tyrrhenian Sea. Archeological evidence suggests an early human occupation starting from the Neolithic period. The island, favored by its volcanic history, was an important crossroads of cultures and commerce exchanges during prehistory up to Greek and Roman dominations. In this study, we present multidisciplinary analysis results on four skeletal remains from the necropolis of Contrada Diana attributed to the Roman period. By using Next Generation Sequencing technology we identified the biological sex and reconstructed the complete mitochondrial genome for two individuals. We retrieved the first ancient L3e5a lineage that is today present only in North and Central Africa. In addition, a 14C dating of 2,030 ± 45 years BP was obtained for one individual. A previous ancient DNA study has highlighted a genetic link between Sicily and the African continent at least from the Bronze Age. Our results, documenting the existence of contacts between Lipari and Africa during Roman influence, are particularly relevant to better understand the peopling of the Aeolian Archipelago when the island was a sea route of primary importance for the trade in the Mediterranean.
... The availability of EVC data is not only of interest for investigative purposes in forensics [1], but it can also be of great help in solving historical and archaeological issues [15][16][17][18][19][20][21][22]. ...
Article
Full-text available
To test the usefulness of the forensic PCR-MPS approach to eye and hair color prediction for aged skeletons, a customized version of the PCR-MPS HIrisPlex panel was used on two sets of samples. The first set contained 11 skeletons dated from the 3rd to the 18th centuries AD, and for each of them at least four bone types were analyzed (for a total of 47 samples). In the second set, 24 skeletons from the Second World War were analyzed, and only petrous bones from the skulls were tested. Good-quality libraries were achieved in 83.3% of the cases for the ancient skeletons and in all Second World War petrous bones, with 94.7% and 100% of the markers, respectively, suitable for SNP typing. Consensus typing was achieved for about 91.7% of the markers in 10 out of 11 ancient skeletons, and the HIrisPlex-S webtool was then used to generate phenotypic predictions. Full predictions were achieved for 3 (27.3%) ancient skeletons and 12 (50%) Second World War petrous bones. In the remaining cases, different levels of AUC (area under the receiver operating curve) loss were computed because of no available data (NA) for 8.3% of markers in ancient skeletons and 4.2% of markers in Second World War petrous bones. Although the PCR-based approach has been replaced with new techniques in ancient DNA studies, the results show that customized forensic technologies can be successfully applied to aged bone remains, highlighting the role of the template in the success of PCR-MPS analysis. However, because several typical errors of ancient DNA sequencing were scored, replicate tests and accurate evaluation by an expert remain indispensable tools.
... Kobilca's painting with bright, almost blue eyes and light brown hair confirms the genetically predicted eye and hair color. In the case of the Slovenian prewar elite couple killed in the Second World War, it was shown that genetically obtained data on externally visible characteristics of the victim can be of help in solving historical issues, as has already been reported in previous studies [10,11,15,19,33]. ...
Article
Genetic identification of a Slovenian prewar elite couple killed in 1944 was performed by typing autosomal and Y-chromosomal STRs, and phenotypic HIrisPlex SNPs for hair and eye color prediction were analyzed for the female skeleton using next-generation sequencing (NGS) technology. The clandestine grave containing the couple’s skeletal remains was found in 2015 and only the partial remains were found. Living distant relatives could be found only for the male victim. Because of a lack of comparative reference samples, it was not possible to identify the female victim through autosomal and mitochondrial DNA typing. However, the possibility of comparison of eye and hair color with a painting exhibited in the City Museum of Ljubljana by the prominent Slovenian painter Ivana Kobilca existed. Nuclear DNA obtained from the samples was quantified using the PowerQuant System, and then STR typing was carried out with different autosomal and Y-STR kits. From 0.09 to 9.36 ng DNA/g of powder was obtained from teeth and bones analyzed. Complete autosomal and Y-STR profiles made it possible to identify the male skeleton via comparison with two nephews. For the female victim, predicted eye and hair color was compared to colors on the painting. Kobilca’s painting confirms the genetically predicted eye and hair color. After more than seventy years, the skeletal remains of the couple were handed over to their relatives, who buried the victims with dignity in a family grave.
... Analysis of DNA degradation by DamageProfiler (supplementary table S2 and fig. S5, Supplementary Material online) indicated only minor 5 0 (2.1% 6 0.6 SD) and 3 0 (2.4% 6 0.5 SD) misincorporations compared with studies of ancient DNA (e.g., $8%, Peltzer et al. 2018). The misincorporations of two the oldest museum samples dating from 1884 to 1879 were estimated at 3% and 4.5% for G!A at the 5 0 end, whereas for the C!T at the 3 0 end it was 2.5% and 4.3%, respectively. ...
Article
Full-text available
Historical specimens in museum collections provide opportunities to gain insights into the genomic past. For the Western honey bee, Apis mellifera L., this is particularly important since its populations are currently under threat worldwide and have experienced many changes in management and environment over the last century. Using Swiss Apis mellifera mellifera as a case study, our research provides important insights into the genetic diversity of native honey bees prior to the industrial-scale introductions and trade of non-native stocks during the 20th century - the onset of intensive commercial breeding and the decline of wild honey bees following the arrival of Varroa destructor. We sequenced whole-genomes of 22 honey bees from the Natural History Museum in Bern collected in Switzerland, including the oldest A. mellifera sample ever sequenced. We identify both, a historic and a recent migrant, natural or human-mediated, which corroborates with the population history of honey bees in Switzerland. Contrary to what we expected, we find no evidence for a significant genetic bottleneck in Swiss honey bees, and find that genetic diversity is not only maintained, but even slightly increased, most probably due to modern apicultural practices. Finally, we identify signals of selection between historic and modern honey bee populations associated with genes enriched in functions linked to xenobiotics, suggesting a possible selective pressure from the increasing use and diversity of chemicals used in agriculture and apiculture over the last century.
Article
Full-text available
In the past decades ancient DNA research has brought numerous insights to archaeological research where traditional approaches were limited. The determination of sex in human skeletal remains is often challenging for physical anthropologists when dealing with incomplete , juvenile or pathological specimens. Molecular approaches allow sexing on the basis of sex-specific markers or by calculating the ratio of DNA derived from different chromosomes. Here we propose a novel approach that relies on the ratio of X chromosome-derived shotgun sequencing data to the autosomal coverage, thus establishing the probability of an XX or XY karyotype. Applying this approach to the individuals of the Upper Paleolithic triple burial of Dolní Věstonice reveals that all three skeletons, including the individual DV 15, whose sex has long been debated due to a pathological condition, were male.
Article
Full-text available
The rapid advancement of technology in genomic analysis increasingly allows researchers to study human biohistorical materials. Nevertheless, little attention has been paid to the privacy of the donor’s living relatives and the negative impact they might experience from the (public) availability of genetic results, even in cases of scientific, forensic or historical relevance. This issue has become clear during a cold case investigation of a relic attributed to Belgian King and World War I-hero Albert I who died, according to the official version, in a solo climbing accident in 1934. Authentication of the relic with blood stains assigned to the King and collected on the place where his body was discovered is recognised as one of the final opportunities to test the plausibility of various conspiracy theories on the King’s demise. While the historical value and current technological developments allow the genomic analysis of this relic, publication of genetic data would immediately lead to privacy concerns for living descendants and relatives of the King, including the Belgian and British royal families, even after more than 80 years. Therefore, the authentication study of the relic of King Albert I has been a difficult exercise towards balancing public research interests and privacy interests. The identification of the relic was realised by using a strict genetic genealogical approach including Y-chromosome and mitochondrial genome comparison with living relatives, thereby limiting the analysis to genomic regions relevant for identification. The genetic results combined with all available historical elements concerning the relic, provide strong evidence that King Albert I was indeed the donor of the blood stains, which is in line with the official climbing accident hypothesis and contradicts widespread ‘mise-en-scène’ scenarios. Since publication of the haploid data of the blood stains has the potential to violate the privacy of living relatives, we opted for external and independent reviewing of (the quality of) our data and statistical interpretation by external forensic experts in haploid markers to guarantee the objectivity and scientific accuracy of the identification data analysis as well as the privacy of living descendants and relatives. Although the cold case investigation provided relevant insights into the circumstances surrounding the death of King Albert I, it also revealed the insufficient ethical guidance for current genomic studies of biohistorical material.
Article
Full-text available
Modern humans arrived in Europe ~45,000 years ago, but little is known about their genetic composition before the start of farming ~8,500 years ago. Here we analyse genome-wide data from 51 Eurasians from ~45,000-7,000 years ago. Over this time, the proportion of Neanderthal DNA decreased from 3-6% to around 2%, consistent with natural selection against Neanderthal variants in modern humans. Whereas there is no evidence of the earliest modern humans in Europe contributing to the genetic composition of present-day Europeans, all individuals between ~37,000 and ~14,000 years ago descended from a single founder population which forms part of the ancestry of present-day Europeans. An ~35,000-year-old individual from northwest Europe represents an early branch of this founder population which was then displaced across a broad region, before reappearing in southwest Europe at the height of the last Ice Age ~19,000 years ago. During the major warming period after ~14,000 years ago, a genetic component related to present-day Near Easterners became widespread in Europe. These results document how population turnover and migration have been recurring themes of European prehistory.
Article
Full-text available
Mitochondrial DNA (mtDNA) profiles can be classified into phylogenetic clusters (haplogroups), which is of great relevance for evolutionary, forensic and medical genetics. With the extensive growth of the underlying phylogenetic tree summarizing the published mtDNA sequences, the manual process of haplogroup classification would be too time-consuming. The previously published classification tool HaploGrep provided an automatic way to address this issue. Here, we present the completely updated version HaploGrep 2 offering several advanced features, including a generic rule-based system for immediate quality control (QC). This allows detecting artificial recombinants and missing variants as well as annotating rare and phantom mutations. Furthermore, the handling of high-throughput data in form of VCF files is now directly supported. For data output, several graphical reports are generated in real time, such as a multiple sequence alignment format, a VCF format and extended haplogroup QC reports, all viewable directly within the application. In addition, HaploGrep 2 generates a publication-ready phylogenetic tree of all input samples encoded relative to the revised Cambridge Reference Sequence. Finally, new distance measures and optimizations of the algorithm increase accuracy and speed-up the application. HaploGrep 2 can be accessed freely and without any registration athttp://haplogrep.uibk.ac.at.
Article
Full-text available
The automated reconstruction of genome sequences in ancient genome analysis is a multifaceted process.Here we introduce EAGER, a time-efficient pipeline, which greatly simplifies the analysis of large-scale genomic data sets. EAGER provides features to preprocess, map, authenticate, and assess the quality of ancient DNA samples. Additionally, EAGER comprises tools to genotype samples to discover, filter, and analyze variants.EAGER encompasses both state-of-the-art tools for each step as well as new complementary tools tailored for ancient DNA data within a single integrated solution in an easily accessible format.
Article
While a comparatively young area of research, investigations relying on ancient DNA data have been highly valuable in revealing snapshots of genetic variation in both the recent and the not-so-recent past. Born out of a tradition of single-locus PCR-based approaches that often target individual species, stringent criteria for both data acquisition and analysis were introduced early to establish high standards of data quality. Today, the immense volume of data made available through next-generation sequencing has significantly increased the analytical resolution offered by processing ancient tissues and permits parallel analyses of host and microbial communities. The adoption of this new approach to data acquisition, however, requires an accompanying update on methods of DNA authentication, especially given that ancient molecules are expected to exist in low proportions in archaeological material, where an environmental signal is likely to dominate. In this review, we provide a summary of recent data authentication approaches that have been successfully used to distinguish between endogenous and nonendogenous DNA sequences in metagenomic data sets. While our discussion mostly centers on the detection of ancient human and ancient bacterial pathogen DNA, their applicability is far wider.
Article
Here we report the Simons Genome Diversity Project data set: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergence. We show that the ancestors of some pairs of present-day human populations were substantially separated by 100,000 years ago, well before the archaeologically attested onset of behavioural modernity. We also demonstrate that indigenous Australians, New Guineans and Andamanese do not derive substantial ancestry from an early dispersal of modern humans; instead, their modern human ancestry is consistent with coming from the same source as that of other non-Africans.