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Genome-wide scans for leprosy and tuberculosis susceptibility genes in Brazilians

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Genome-wide scans were conducted for tuberculosis and leprosy per se in Brazil. At stage 1, 405 markers (10 cM map) were typed in 16 (178 individuals) tuberculosis and 21 (173 individuals) leprosy families. Nonparametric multipoint analysis detected 8 and 9 chromosomal regions respectively with provisional evidence (P<0.05) for linkage. At stage 2, 58 markers from positive regions were typed in a second set of 22 (176 individuals) tuberculosis families, with 22 additional markers typed in all families; 42 positive markers in 50 (192 individuals) new leprosy families, and 30 additional markers in all families. Three regions (10q26.13, 11q12.3, 20p12.1) retained suggestive evidence (peak LOD scores 1.31, 1.85, 1.78; P=0.007, 0.0018, 0.0021) for linkage to tuberculosis, 3 regions (6p21.32, 17q22, 20p13) to leprosy (HLA-DQA, 3.23, P=5.8 x 10(-5); D17S1868, 2.38, P=0.0005; D20S889, 1.51, P=0.004). The peak at D20S889 for leprosy is 3.5 Mb distal to that reported at D20S115 for leprosy in India. (151 words).
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BRIEF COMMUNICATION
Genome-wide scans for leprosy and tuberculosis
susceptibility genes in Brazilians
EN Miller
1
, SE Jamieson
1
, C Joberty
1
, M Fakiola
1
, D Hudson
1
, CS Peacock
1
, HJ Cordell
1
, M-A Shaw
2
,
Z Lins-Lainson
3
, JJ Shaw
3,4
, F Ramos
3
, F Silveira
3
and JM Blackwell
1
1
Cambridge Institute for Medical Research, Wellcome Trust/MRC Building, University of Cambridge School of Clinical Medicine,
Addenbrookes Hospital, Hills Road, Cambridge CB2 2XY, UK;
2
Department of Biology, University of Leeds, Leeds LS2 9JT, UK;
3
Instituto Evandro Chagas, Caixa Postal 3, 66.001 Belem, Brazil
Genome-wide scans were conducted for tuberculosis and leprosy per se in Brazil. At stage 1, 405 markers (10 cM map) were typed
in 16 (178 individuals) tuberculosis and 21 (173 individuals) leprosy families. Nonparametric multipoint analysis detected 8 and 9
chromosomal regions respectively with provisional evidence (Po0.05) for linkage. At stage 2, 58 markers from positive regions
were typed in a second set of 22 (176 individuals) tuberculosis families, with 22 additional markers typed in all families; 42 positive
markers in 50 (192 individuals) new leprosy families, and 30 additional markers in all families. Three regions (10q26.13, 11q12.3,
20p12.1) retained suggestive evidence (peak LOD scores 1.31, 1.85, 1.78; P¼0.007, 0.0018, 0.0021) for linkage to tuberculosis, 3
regions (6p21.32, 17q22, 20p13) to leprosy (HLA-DQA, 3.23, P¼5.8 10
5
; D17S1868, 2.38, P¼0.0005; D20S889, 1.51,
P¼0.004). The peak at D20S889 for leprosy is 3.5 Mb distal to that reported at D20S115 for leprosy in India. (151 words).
Genes and Immunity (2004) 5, 6367. doi:10.1038/sj.gene.6364031
Keywords: tuberculosis; leprosy; susceptibility genes; genome scans
Many studies suggest that susceptibility to Mycobacter-
ium tuberculosis and M. leprae are genetically regulated in
humans (reviewed in
1-4
). One approach to identifying the
genes involved is to use family-based linkage analysis to
undertake a genome scan. The first such study using
affected sib-pair analysis in tuberculosis families from
The Gambia and South Africa
5
identified regions on
chromosomes 15q and Xq as providing evidence (LOD
scores¼2.00 and 1.77; P¼0.001 and 0.002, respectively)
suggestive of linkage to pulmonary tuberculosis. Allelic
association studies have subsequently identified the gene
UBE3A encoding a ubiquitin ligase, that is expressed in
macrophages and plays a key role in the ubiquitination
and degradation of specific proteins, as the putative
candidate susceptibility gene on 15q11-q13 (P¼0.002).
6
For leprosy, genome scans for Indian
7
and Vietnamese
8
populations have been reported. In the Indian study,
7
a
major locus (LOD score 4.09; Po2 10
5
) controlling
susceptibility to leprosy in a region of southern India
where tuberculoid or paucibacillary leprosy predomi-
nates was identified on chromosome 10p13. Further
analysis of the same study population
9
identified a
second and independent locus controlling leprosy on
chromosome 20p12.3 (LOD score 3.48; P¼0.00003). In the
Vietnamese study,
8
chromosome 6q25 (LOD score 4.31;
P¼5 10
6
) was identified as carrying major suscept-
ibility loci for leprosy per se. In this case, analysis by
disease sub-type provided supportive evidence (LOD
score 1.74; P¼0.002) for a locus on chromosome 10p13
controlling susceptibility to paucibacillary leprosy, con-
sistent with the bias towards this disease sub-type in the
Indian study population.
7
To determine whether the same or different regions of
the genome carry susceptibility loci for pulmonary
tuberculosis and leprosy per se in Brazil we have carried
out genome scans using a two-staged analysis of
extended multicase pedigrees for each disease. A full
description of the study site and clinical criteria for
inclusion in the study have been reported elsewhere
10,11
and are described in brief in Table 1. For each disease an
initial set of families (Table 1, scan 1) were genotyped for
405 markers at B10 cM intervals across the genome. As
outlined in the legend to Table 2, nonparametric linkage
analysis in ALLEGRO
12
that reports maximum Z scores
for the likelihood ratio (Z
lr
) and allele-sharing LOD
scores
13
was used to analyse the genome scan linkage
data. This analysis provided evidence at Po0.05 for
linkage of susceptibility to 8 regions of the genome on
chromosomes 2, 3, 7, 10, 11, 20, 21 and X (LOD scores 0.60
to 2.43; 1-sided p values 0.0004oPo0.048) for tubercu-
losis, and to 9 regions on chromosomes 6, 9, 11, 12, 13, 15,
16, 17, 20 (LOD scores 0.74 to 2.50; 1-sided P values
0.0003oPo0.033) for leprosy per se. For tuberculosis, 58
markers from the positive regions were typed in a second
set of families (Table 1), with 22 additional markers typed
Received 04 July 2003; revised 14 August 2003; accepted 19 August
2003
Correspondence: Dr Blackwell, Cambridge Institute for Medical Research,
Wellcome Trust/MRC Building, University of Cambridge School of
Clinical Medicine, Addenbrookes Hospital, Hills Road, Cambridge CB2
2XY, UK. Email: jennie.blackwell@cimr.cam.ac.uk
4
Present address: Sao Paulo University, Institute of Biomedical
Sciences, Department of Parasitology, 05508-900, Brazil.
Genes and Immunity (2004) 5, 6367
&
2004 Nature Publishing Group All rights reserved 1466-4879/04
$
25.00
www.nature.com/gene
in both family sets. For leprosy, 42 markers from positive
regions were typed in a second set of families, with 30
additional markers typed in both family sets. Results
from the two independent sets of families for each
disease indicate true replication of linkage for chromo-
somes 10 and 20 for tuberculosis, and for chromosomes
6, 17 and 20 (lepromatous or multibacillary) for leprosy
(Table 1). Although replication was not achieved at
chromosome 11 in the second set of families for
tuberculosis, the combined analysis shows an increase
in peak LOD score from 1.58 (P¼0.004) in stage 1 to 1.85
(P¼0.002), indicating that the stage 2 families and grid
tightening stage 1 families have contributed to an
increase in the significance for linkage. Overall, the
combined analysis (Table 2) showed that three regions
retained evidence for linkage for each disease. For
tuberculosis these equated to peak nonparametric multi-
point allele sharing LOD scores of 1.31 (P¼0.007) for
D10S1656 at Genethon map position 158.3 cM on
10q26.13, of 1.85 (P¼0.002) for D11S4205 at position
67.4 cM on 11q12.3, and of 1.78 (P¼0.002) for D20S898 at
position 35.8 cM on 20p12.1. For leprosy per se, peak LOD
scores were obtained for HLA-DQA (LOD 3.23;
P¼5.8 10
5
) on 6p21.32, for D17S1868 (LOD 2.38;
P¼0.0005) at position 75.7 cM on 17q22, and for
D20S889 (LOD 1.51; P¼0.004) at position 11 cM on
20p13. The regions 6p21.32 and 17q22 had each already
been highlighted as carrying susceptibility genes for
leprosy by our earlier analyses of candidate gene regions
in this Brazilian population.
10,14
In each case, more
detailed analysis has indicated that more than one locus
in each of these immune response gene dense regions
might affect susceptibility to leprosy, including genes
that contribute to leprosy per se and to lepromatous
versus tuberculoid disease sub-types. For chromosome
20, the peak of linkage (D20S889) we observe for leprosy
per se in Brazil (Figure 1) lies B3.5 Mb distal to that
observed at D20S115 for leprosy in India.
9
Because of this
earlier observation,
9
we typed all of the additional
markers across this region that had been used in the
Indian study. Stratification by disease sub-types (Figure
1) indicates that most of the peak at D20S889 is
contributed by the lepromatous leprosy families,
although there is a peak of linkage for tuberculoid
leprosy 1.4 Mb proximal to D20S889 at D20S835. If there
is a common disease susceptibility locus affecting
susceptibility to leprosy in both Brazil and India, our
data indicate that the gene might lie more distally on
20p13. The predominance of lepromatous leprosy in
Brazil and tuberculoid leprosy in India also indicates that
a single locus would have to control susceptibility to
leprosy per se. The peak for leprosy in Brazil is distinct
from the peak for tuberculosis at 20p12.1 (Figure 1).
There are no obvious functional candidate genes under
either of these regions of linkage.
For tuberculosis, the regions under the linkage curves
significant at the P¼0.05 level spanned intervals of
B26 cM on chromosome 10, B54 cM on chromosome
Table 1 Details of family structure for families used in 2-stage genome scan of tuberculosis and leprosy in Brazil
Numbers observed
Family structure TB
Scan 1
TB
Scan 2
Leprosy per
se Scan 1
Leprosy per
se Scan 2
Leprosy LL
Scan 1
Leprosy LL
Scan 2
Leprosy TT
Scan 1
Leprosy TT
Scan 2
No. families 16 22 21 50 15 29 17 22
No. nuclear families 24 31 32 54 16 31 18 23
Nuclear families with 1 affected sib 8 14 10 7 9 9 7 8
Nuclear families with 2 affected sibs 11 10 12 39 6 19 5 12
Nuclear families with 3 affected sibs 4 5 4 3 1 2 5 2
Nuclear families with 4 affected sibs 1 2 3 3 1 1
Nuclear families with 5 affected sibs 3 1
Nuclear families with 6 affected sibs 1
Nuclear families with 7 affected sibs 1
No. affected offspring 48 57 73 118 24 57 36 44
No. of affected parents 9 19 16 23 6 12 6 4
Total No. of affected individuals 58 73 86 140 30 67 42 48
Total No. individuals 178 176 173 192 122 124 146 100
Leprosy and tuberculosis families were ascertained through medical records at local Ministerio de Sanidad health centres in Belem, Para,
Brazil. All health centres were staffed by clinicians highly experienced in the diagnosis and treatment of leprosy and tuberculosis. The study
was performed with approval of the ethical review committee of the Institute Evandro Chagas, Belem, Para, Brazil. For tuberculosis families,
diagnosis was made on the basis of a sputum test positive for acid-fast bacilli and/or chest X-ray. Sputum tests were carried out at the centres,
stained (Ziehl-Nielson) and read for acid-fast bacilli by qualified laboratory technicians. If tuberculosis symptoms persisted following two
negative sputum results, patients were referred to the central tuberculosis hospital in Belem, where all X-rays were read by experienced
specialist clinicians. Families came from an area of high tuberculosis prevalence. The incidence rate for TB in Belem City at the beginning
(1991) of the study was 62 per 100 000 habitants. The prevalence rate for TB in the whole of Brazil is 68 cases per 100 000 habitants. For leprosy
families, diagnosis was made following clinical examination for anaesthetic skin lesions, results from slit skin smear testing for acid fast
bacilli, and, in some health centres, histological analysis. Patients were categorised into disease sub-type groups according to the Ridley-
Jopling
19
histological scale and/or bacterial load. Subtypes recorded were lepromatous (LL), borderline lepromatous (BL), borderline (BB) or
borderline tuberculoid/tuberculoid (BT/TT). For genetic analyses in the present study, lepromatous patients comprised LL plus BL subtypes
(referred to hereafter as LL) and tuberculoid patients comprised BB plus BT/TT subtypes (referred to hereafter as TT). The incidence rate for
leprosy in Belem City at the beginning of the study was 45 per 100 000 population. The prevalence rate for leprosy in the whole of Brazil is 45
cases per 100 000 habitants.
Genome-wide scans for leprosy and tuberculosis
EN Miller et al
64
Genes and Immunity
11, and B15 cM on chromosome 20 (data not shown). To
try to pinpoint the location of the putative susceptibility
loci within these regions more precisely, we used the
transmission disequilibium test (TDT),
15
using a robust
sandwich estimator for the variance and a Wald chi-
squared test to control for pedigree clustering, to look for
association between specific markers and tuberculosis
susceptibility. Robust TDT statistical tests developed by
Table 2 Results from 2-stage genome scan of tuberculosis and leprosy in Brazil
Scan 1 Scan 2 Combined analysis
Marker Location (cM) LOD Z
lr
P LOD Z
lr
P LOD Z
lr
P
Tuberculosis
D10S587 156.6 0.63 1.70 0.044 0.91 2.05 0.020 1.07 2.23 0.013
D10S1656 158.3 1.22 2.37 0.009 1.31 2.45 0.007
D10S575 162.9 1.11 2.26 0.012 1.16 2.31 0.010
D10S217 167.2 0.62 1.69 0.046 0.51 1.53 NS 1.05 2.20 0.014
D11S4191 63.4 1.31 2.46 0.007 0.29 1.15 NS 1.59 2.70 0.003
D11S4205 67.4 0.28 1.13 NS 1.85 2.92 0.002
D11S987
a
1.58 2.70 0.004 0.29 1.16 NS 1.70 2.79 0.003
D11S1314 77.5 1.47 2.61 0.005 0.19 0.93 NS 1.45 2.59 0.005
D20S186 33.2 0.39 1.34 NS 0 0.07 NS 0.15 0.82 NS
D20S898 35.8 1.69 2.79 0.003 1.78 2.86 0.002
D20S112 39.3 0.99 2.14 0.016 0.12 0.73 NS 0.95 2.09 0.018
Leprosy per se
D6S289 29.6 2.41 3.33 0.0004 0.42 1.39 NS 2.41 3.33 0.0004
HLADRB
b
1.97 3.01 0.003 1.09 2.25 0.013 3.00 3.72 0.0001
HLADQA
b
1.97 3.01 0.003 1.30 2.44 0.007 3.23 3.85 5.8 10
5
HLADQB
b
1.97 3.01 0.003 1.11 2.25 0.012 3.01 3.72 0.0001
D17S1868 65.1 1.97 3.01 0.003 0.60 1.67 0.048 2.38 3.31 0.0005
D17S787 75.7 1.58 2.70 0.004 0.52 1.55 0.060 2.04 3.10 0.001
D17S944 84.2 2.01 3.04 0.001 0.01 0.08 NS 0.80 1.91 0.027
D20S117 2.9 0.34 1.26 NS 0.28 1.13 NS 0.87 2.00 0.023
D20S889 11 1.64 2.75 0.003 0.20 0.96 NS 1.51 2.64 0.004
D20S835 14.8 0.05 0.49 NS 0.96 2.10 0.018
D20S115 20.9 0.76 1.88 0.031 1.12 NS 0 0.06 NS
LL Leprosy
D20S117 2.9 0.70 1.80 0.036 0.44 1.43 NS 1.06 2.21 0.014
D20S889 11 1.16 2.31 0.010 0.55 1.58 0.056 1.36 2.50 0.006
D20S835 14.8 0.43 1.40 NS 1.22 2.37 0.009
D20S115 20.9 1.71 2.81 0.003 0.28 NS 0.23 1.02 NS
TT Leprosy
D20S117 2.9 0 0.03 NS 0.05 0.48 NS 0.11 0.73 NS
D20S889 11 0.40 1.36 NS 0.06 0.53 NS 0.62 1.69 0.046
D20S835 14.8 0.03 0.34 NS 0.74 1.84 0.033
D20S115 20.9 0.77 1.88 0.030 0.57 NS 0.06 0.53 NS
Methods: For the genome scan, a 2-stage strategy was employed. At stage 1, 178 DNAs from 16 extended (24 nuclear) multicase tuberculosis
families and 173 DNAs from 21 extended (32 nuclear) multicase leprosy families were genotyped for the 400 markers that make up the
Applied Biosystems ABI Prism Linkage Mapping Set version 2 with markers at B10 cM intervals (www.appliedbiosystems.com/products/
linkmapping.cfm) across the genome, with 5 additional markers typed for HLA at 6p21. At stage 2, 58 markers from the positive regions were
typed in 176 DNAs from a second set of 22 extended (31 nuclear) multicase tuberculosis families, with 22 additional markers typed in both
family sets. For leprosy, 42 markers from positive regions were typed in a second set of 192 DNAs from 50 extended (54 nuclear) multicase
leprosy families, with 30 additional markers typed in both family sets. Although the additional markers were typed in the scan 1 families as
part of the grid tightening strategy that contributes to the combined analysis, we have not given the scan 1 only data for these markers. The
scan 1 data provided is to indicate the level of evidence that we had for a gene in the region after the initial scan with 405 markers.
Nonparametric multipoint linkage analyses were performed in ALLEGRO,
12
with results reported as maximum Z scores for the likelihood
ratio (Z
lr
) or allele sharing LOD scores.
13
For tuberculosis, where only complex multi-generation pedigrees were used, the S
all
scoring function
with equal weighting was used. For leprosy, where a mixture of pedigrees of different sizes and complexity were used, the S
pairs
scoring
function with 0.5 weighting was used to take account of differences in family size. Simulations (100) performed within ALLEGRO using data
for a typical set of six linked polymorphic microsatellite markers (7–10 alleles; heterozygosity 0.73) showed that the scan 1 family set and the
scan 2 family set for tuberculosis each had 100% power to detect Z
lr
scores of 1.64 (P¼0.05), and 489% power to detect Z
lr
scores of 2.33
(P¼0.01). The combined family set had 495% power to detect Z
lr
scores of 3.09 (P¼0.001). For leprosy per se, the scan 1 family set had 99%
power to detect Z
lr
scores of 3.71 (P¼1x10
4
), and 95% power to detect Z
lr
scores of 4.26 (P¼1 10
5
). The scan 2 family set had 90% power to
detect Z
lr
scores of 3.08 (P¼0.001). The combined family set had 99% power to detect Z
lr
scores of 5.20 (P¼1 10
7
). Not all data for all of the
additional markers genotyped are shown in the table, the purpose of which is to demonstrate evidence for linkage (scan 1 alone) supported
by replication (scan 2 alone) and/or grid tightening (scan 1+2) in and around the peak of linkage.
a
Not in Genethon map. Position based on Marshfield map.
b
Not in Genethon or Marshfield map. Position based on physical location.
Genome-wide scans for leprosy and tuberculosis
EN Miller et al
65
Genes and Immunity
Heather Cordell and David Clayton at the Cambridge
Institute for Medical Research were implemented within
Stata and are available at http://www-gene.cimr.cam.
ac.uk/clayton/software/. For chromosome 10, a signifi-
cant (w
2
¼11.52, 4 df, P¼0.021) global association was
observed at D10S1656, with significant protection asso-
ciated with allele 6 (w
2
¼9; 1 df; 0.002) that was robust to
pedigree clustering (Wald w
2
¼4.76; 1 df; P¼0.029). No
other markers in the region showed significant global
associations, effectively narrowing down the interval on
this chromosome to 6 cM between D10S1656 and the two
nearest proximal (D10S587) and distal (D10S575) mar-
kers typed. For chromosome 11, a significant global
association (w
2
¼16.9; 7 df; P¼0.018) was observed at
marker D11S987, with allele 5 associated with protection
(w
2
¼4.57; 1 df; P¼0.033; Wald w
2
¼4.57; 1 df; P¼0.033) and
allele 7 associated with disease (w
2
¼8.00; 1 df; P¼0.005;
Wald w
2
¼4.23; 1 df; P¼0.039). This marker lies 1.63 Mb
distal to D11S4205 which lies at the peak of a broad
multipoint linkage curve on 11q13. A significant global
association (w
2
¼11.7; 3 df; P¼0.008), with allele 4 (w
2
¼11;
1 df; P¼0.0009; Wald w
2
¼6.37; 1 df; P¼0.012) disease
associated, was also observed for marker D11S4175
located at 11q14.3 B30 Mb distal to D11S987, indicating
that there may be more than one susceptibility gene
contributing to the broad region of linkage on this
chromosome. No other markers in the region showed
significant global associations. No markers on chromo-
some 20 showed significant global TDT associations.
There are no obvious candidate genes likely to be in
linkage disequilibrium with any of the markers at the
peaks of linkage or showing significant associations on
any of these chromosomes. The leprosy families have an
insufficient number of parent child trios to perform
allelic association testing.
None of the regions we identified as carrying putative
susceptibility loci for tuberculosis in Brazil match those
(15q11-q13, Xq) identified for tuberculosis in the African
5
study. There was only one possible region of overlap
(20p13) between Brazil and data reported earlier (6q25,
10p13, 20p12) for leprosy in Indian
7,9
or Vietnamese
8
populations. Interestingly, the HLA complex was not
significant for linkage to tuberculosis in our Brazilian
population, although it does make a major contribution
(peak parametric LOD score¼5.78; P¼2.5 10
7
)to
susceptibility to leprosy in the same population.
10
HLA
was identified as a positive region of linkage in the
Vietnamese
8
but not the Indian
7
leprosy study. Further
investigation of the Vietnamese population
16
indicates
linkage to clinical sub-type, as many earlier studies
(e.g.
17,18
) had suggested. Overall, a complex picture of
geographic heterogeneity in genetic effects on these
different mycobacterial infections is emerging. Our
ability to dissect out these genetic pathways in the
future will require much larger sample sizes and a better
definition of pathology and immune response pheno-
types associated with clinical disease, and with resis-
tance in those who are exposed to infection but do not
succumb to clinical disease. For the moment, our study
here provides additional leads that may be worth
examining in other populations, and may have some
bearing on our further analysis of genes involved in
susceptibility to the complex phenotypes of pulmonary
tuberculosis and leprosy in Brazil.
Acknowledgements
This work was funded by grants from the Wellcome
Trust. We would also like to thank the people of Belem
for their contribution to this study.
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Genes and Immunity
... 11q12.3 and 20p12.1-showed suggestive evidence for linkage with disease (Table 1) (Miller et al. 2004). A GWL scan for PTB conducted in 48 Moroccan families followed by fine mapping linkage analysis of suggestive findings in an extended population of 96 families found chromosome region 8q12-q13 significantly linked to PTB (Table 1) (Baghdadi et al. 2006). ...
... When meta-analysis was performed including the aforementioned Chinese and Taiwanese populations with a total of 3118 TB patients and 3226 controls, rs4331426 SNP in 18q11.2 was found not to be associated with TB (Miao et al. 2016). Conflicting results for this locus were also found Bellamy et al. (2000) 136 South African and Gambian families (83 families in the discovery phase), including 173 sibpairs 15q LOD score = 2.00, p = 0.001 Xq LOD score = 1.77, p = 0.002 Miller et al. (2004) 38 Brazilian families (16 families in the discovery phase), including 105 affected offspring 10q26.13 LOD score = 1.31, p = 0.007 11q12.3 ...
... The GWLS conducted in the Vietnamese families detected an additional leprosy linkage signal at the HLA complex on chromosomal region 6p21 (Table 3) (Mira et al. 2003). This region had previously been linked to leprosy susceptibility in a Brazilian sample (Miller et al. 2004). In fact, several studies have reported the involvement of HLA alleles and haplotypes as important genetic factors controlling susceptibility to leprosy (Geluk and Ottenhoff 2006;Jarduli et al. 2013). ...
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Mycobacterial diseases are caused by members of the genus Mycobacterium, acid-fast bacteria characterized by the presence of mycolic acids within their cell walls. Claiming almost 2 million lives every year, tuberculosis (TB) is the most common mycobacterial disease and is caused by infection with M. tuberculosis and, in rare cases, by M. bovis or M. africanum. The second and third most common mycobacterial diseases are leprosy and buruli ulcer (BU), respectively. Both diseases affect the skin and can lead to permanent sequelae and deformities. Leprosy is caused by the uncultivable M. leprae while the etiological agent of BU is the environmental bacterium M. ulcerans. After exposure to these mycobacterial species, a majority of individuals will not progress to clinical disease and, among those who do, inter-individual variability in disease manifestation and outcome can be observed. Susceptibility to mycobacterial diseases carries a human genetic component and intense efforts have been applied over the past decades to decipher the exact nature of the genetic factors controlling disease susceptibility. While for BU this search was mostly conducted on the basis of candidate genes association studies, genome-wide approaches have been widely applied for TB and leprosy. In this review, we summarize some of the findings achieved by genome-wide linkage, association and transcriptome analyses in TB disease and leprosy and the recent genetic findings for BU susceptibility.
... Independent studies have reported a linkage peak for leprosy per se on chromosome region 6p21.3 in the human leukocyte antigen (HLA) complex (124,139,140). High-resolution linkage disequilibrium mapping of the 6p21.3 ...
... Additional chromosomal regions have been shown to be linked to leprosy phenotypes by independent GWLS. The chromosome regions 20p13 and 20p12 were linked to leprosy per se in Brazilian and Indian families, respectively (140,166). Chromosome region 17q11-q21 was linked to leprosy per se in Brazilian patients, while the region 17q21-q25 was linked to Mitsuda reactivity in Vietnamese families (121,167). The ERRB2 gene located on chromosome region 17q12 has been selected as a positional candidate gene for leprosy per se in the 17q11-q21 locus. ...
Chapter
Leprosy is a curable infectious disease. The causative agent, Mycobacterium leprae, has the unique capability to infect peripheral nerves, which may lead to varying degrees of neuropathy. In the most severe circumstances, this infection may result in an inability to feel pain in the hands or feet, a loss of digits, and blindness.Paradoxically, as treatment has become more successful, many specialized centers have closed and few physicians have adequate knowledge about the disease. A strong stigma, based on fear, still contributes to prolonged suffering and delayed diagnosis. Today, the diagnosis and treatment of leprosy also is often impeded by a lack of knowledge and awareness in the healthcare community. This textbook attempts to address the deficiency.The International Textbook of Leprosy is dedicated to the physicians and health workers caring for their first patient with leprosy, and to all of those in the research community who have encountered some of the fascinating scientific aspects of leprosy and wish to learn more.
... [4][5][6][7][8][9][10] Genetic factors are important contributors to the development of a wide range of complex disease. [11][12][13][14][15][16][17][18][19][20][21] A person who is susceptible to a particular infectious disease, such as TB, the risk of developing the disease is higher than one who has not inherited the genetic risk factor. [11][12][13][14][15][16][17][18][19][20][21] These evidences on the influence of host genetic factors in TB susceptibility led to the development of strategies to identify candidate genes or susceptibility loci in the human genome. ...
... [11][12][13][14][15][16][17][18][19][20][21] A person who is susceptible to a particular infectious disease, such as TB, the risk of developing the disease is higher than one who has not inherited the genetic risk factor. [11][12][13][14][15][16][17][18][19][20][21] These evidences on the influence of host genetic factors in TB susceptibility led to the development of strategies to identify candidate genes or susceptibility loci in the human genome. Identification of polymorphisms in genes has enabled linkage and association studies to be used in explaining individual variation in susceptibility to and severity of TB in humans. ...
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Background: Genetic factors are important contributors to the development of a wide range of complex disease. Polymorphisms in genes encoding for toll-like receptors (TLRs) usually influence the efficiency of the immune response to infection and are associated with disease susceptibility and progression. Therefore, we aim to describe the first association between TLR1, TLR2, TLR4 TLR6, TLR8, TLR9 and TLR10 genes polymorphisms and susceptibility to pulmonary tuberculosis (PTB) in Sudanese patients. Methodology: Here we performed a case study which included 160 tuberculosis patients and 220 healthy matched controls from Sudan. In the study population, we evaluated the possible association between 86 markers in TLR1, TLR2, TLR4 TLR6, TLR8, TLR9 and TLR10 genes polymorphisms and susceptibility to PTB disease in Sudanese population using polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP). Results: From our results it appeared that in the PTB population the TLR1 (rs5743557, rs4833095, rs5743596), TLR2 (rs5743704, rs5743708, rs3804099), TLR4 (rs4986790, rs4986791), TLR6 (rs5743810), TLR8 (rs3764879, rs3764880), TLR9 (rs352165, rs352167, rs187084) and TLR10 (rs4129009) were significantly more often encountered (p<0.0001) than in the control population and were associated with PTB in the Sudanese population. For the other polymorphisms tested, no association with PTB was found in the population tested. Conclusion: The work describes novel mutations in TLR1, TLR2, TLR4, TLR6, TLR8, TLR9 and TLR10 genes and their association with PTB infection in Sudanese population. These results will enhance our ability to determine the risk of developing the disease by targeting specific TLR pathways to reduce the severity of the disease. Future studies are needed in a larger sample to replicate our findings and understand the mechanism of association of TLR polymorphism in PTB.
... A number of genomic studies have recently been conducted to identify a set of genetic factors underlying susceptibility to TB including UBE3A [11,12], chromosome region 8q12-q13 [13], VDR, IL12, Il12RB1, INFG, MBL, DRB1, SFTPA1/2, and NRAMP1 [14][15][16][17], MCP1 [18,19], chromosomes 2q21-2q24 and 5p13-5q22 for PTST-, chromosome 7p22-7p21 for TB [20], TST1 and TST2 [21], TNF1 [22], and CCL1 [23]. More specifically, genetic variants participating directly in human immunity such as interleukin (IL)-10, interferon (IFN)-γ, and nitric oxide synthase 2 play key roles in susceptibility to TB [24][25][26][27][28]. Additionally, previous studies have revealed the important roles of epigenetic modifications of a number of genes including NRAMP1, IFNG, NOS2A, VDR, ISG15, TACO, TLR1, TLR, IL18R1, PADI, DUSP14, and MBL, NLRP-3, and MASP-2 in TB susceptibility [29][30][31][32]. ...
... Genome-wide association studies (GWAS) have revealed common chromosomal regions associated with predisposition to TB. Genomewide linkage studies demonstrated such associations with variability in the 15q and Xq segments in populations in South Africa and the Gambia [44], 6p21-q23, 20q13.31-33 in South Africa and Malawi [45], 7p21-22, and 20q13 in Uganda [46], and 10q26, 11q12.3, and 20p12.1 in Brazil [47]. Thus, while single nucleotide polymorphisms (SNPs) associated with TB susceptibility have been identified, the risk profile associated with these SNPs varies with different populations [48][49][50][51][52][53][54]. ...
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A 19-year-old woman originally from the Republic of the Marshall Islands presented with diffuse pneumonia and acute hypoxemic respiratory failure. She dies one month into her hospitalization but the diagnosis of pulmonary tuberculosis (TB) was not made until one day before her demise. A contact investigation screened a total of 155 persons with 36 (23%) found to have latent TB infection and seven (4.5%) with active pulmonary TB. This unfortunate case provided the opportunity to analyze the epidemiology of TB in the state of Washington in the context of those who emigrated from the Marshall Islands. The development of fulminant pulmonary TB in this previously healthy young woman also provides a segue to discuss potential risk factors for TB in the index case that include: (i) foreign-born in a TB-endemic country; (ii) race and genetic factors; (iii) age; (iv) body habitus; (v) pregnancy; and (vi) use of glucocorticoids.
... Therefore, differences in immune responses to these mycobacterial infections, as well as the innate resistance presented by most people, suggest the involvement of susceptibility genes. Recently, chromosome 6p21 has been identified as a locus of susceptibility to leprosy in a genome-wide scan [6] . In this chromosome region are founded the human leukocyte antigen (HLA) genes, which have been investigated for their roles in the pathogenesis of leprosy [7] . ...
... While a role for human genetic susceptibility to TB has been well-established [3,4], genetic susceptibility to Mtb infection has been less studied. Genomewide analyses of TB, whether for genetic linkage [5][6][7][8][9] or, more recently, for association [10][11][12][13][14][15][16][17], have not provided consistent evidence for major TB susceptibility loci. Difficulty of replication may stem in part from the clinical definitions used for TB [18]. ...
Article
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Tuberculosis (TB) is a major public health burden worldwide, and more effective treatment is sorely needed. Consequently, uncovering causes of resistance to Mycobacterium tuberculosis (Mtb) infection is of special importance for vaccine design. Resistance to Mtb infection can be defined by a persistently negative tuberculin skin test (PTST-) despite living in close and sustained exposure to an active TB case. While susceptibility to Mtb is, in part, genetically determined, relatively little work has been done to uncover genetic factors underlying resistance to Mtb infection. We examined a region on chromosome 2q previously implicated in our genomewide linkage scan by a targeted, high-density association scan for genetic variants enhancing PTST- in two independent Ugandan TB household cohorts (n = 747 and 471). We found association with SNPs in neighboring genes ZEB2 and GTDC1 (peak meta p = 1.9 × 10-5) supported by both samples. Bioinformatic analysis suggests these variants may affect PTST- by regulating the histone deacetylase (HDAC) pathway, supporting previous results from transcriptomic analyses. An apparent protective effect of PTST- against body-mass wasting suggests a link between resistance to Mtb infection and healthy body composition. Our results provide insight into how humans may escape latent Mtb infection despite heavy exposure.
Article
Tuberculosis is the most lethal infectious disease globally, but the vast majority of people who are exposed to the primary causative pathogen, Mycobacterium tuberculosis (MTB), do not develop active disease. Most people do, however, show signs of infection that remain throughout their lifetimes. In this review, we develop of framework that describes several possible transitions from pathogen exposure to TB disease and reflect on the genetics studies to address many of these. The evidence strongly supports a human genetic component for both infection and active disease, but many of the existing studies, including some of our own, do not clearly delineate what transition(s) is being explicitly examined. This can make interpretation difficult in terms of why only some people develop active disease. Nonetheless, both linkage peaks and associations with either active disease or latent infection have been identified. For transition to active disease, pathways defined as active TB altered T and B cell signaling in rheumatoid arthritis and T helper cell differentiation are significantly associated. Pathways that affect transition from exposure to infection are less clear-cut, as studies of this phenotype are less common, and a primary response, if it exists, is not yet well defined. Lastly, we discuss the role that interaction between the MTB lineage and human genetics can play in TB disease, especially severity. Severity of TB is at present the only way to study putative co-evolution between MTB and humans as it is impossible in the absence of disease to know the MTB lineage(s) to which an individual has been exposed. In addition, even though severity has been defined in multiple heterogeneous ways, it appears that MTB-human co-evolution may shape pathogenicity. Further analysis of co-evolution, requiring careful analysis of paired samples, may be the best way to completely assess the genetic basis of TB.
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Human genetic variation is an important determinant of the outcome of infection with Mycobacterium tuberculosis. We have conducted a two-stage genome-wide linkage study to search for regions of the human genome containing tuberculosis-susceptibility genes. This approach uses sibpair families that contain two full siblings who have both been affected by clinical tuberculosis. For any chromosomal region containing a major tuberculosis-susceptibility gene, affected sibpairs inherit the same parental alleles more often than expected by chance. In the first round of the screen, 299 highly informative genetic markers, spanning the entire human genome, were typed in 92 sibpairs from The Gambia and South Africa. Seven chromosomal regions that showed provisional evidence of coinheritance with clinical tuberculosis were identified. To identify whether any of these regions contained a potential tuberculosis-susceptibility gene, 22 markers from these regions were genotyped in a second set of 81 sibpairs from the same countries. Markers on chromosomes 15q and Xq showed suggestive evidence of linkage (lod = 2.00 and 1.77, respectively) to tuberculosis. The potential identification of susceptibility loci on both chromosomes 15q and Xq was supported by an independent analysis designated common ancestry using microsatellite mapping. These results indicate that genome-wide linkage analysis can contribute to the mapping and identification of major genes for multifactorial infectious diseases of humans. An X chromosome susceptibility gene may contribute to the excess of males with tuberculosis observed in many different populations.
Article
Racial differences, twin studies, and Mendelian segregation of disease in families support the hypothesis that susceptibility to tuberculosis is genetically regulated. Complex segregation analysis of disease in multicase families suggests that one or two major loci are involved. Attempts to identify these genes involve both genome scanning and analysis of candidate gene regions. Current data do not support a major role for the human homologue (NRAMP1) of the murine natural resistance gene (Nramp1 =Ity/Lsh/Bcg) in controlling susceptibility to tuberculosis, although there is evidence to support a role for this gene in susceptibility to leprosy and rheumatoid arthritis. Population studies have identified allelic associations between disease phenotypes and polymorphic markers in other candidate gene regions, including the region containing the gene NOS2A encoding inducible nitric oxide synthase, polymorphisms within the genes encoding class I (A,B,) and class II (DR) molecules of the major histocompatibility complex (MHC), polymorphisms within the MHC class III region loci TNF-α/β, and functional polymorphisms in gene (VDR) encoding the receptor for the active metabolite (1,25-dihydroxyvitamin D3) of vitamin D. However, these findings have not been found uniformly in all populations. No evidence has been found for linkage to, or allelic association with, disease susceptibility and intronic markers within the candidate gene (IL-4) encoding interleukin 4. However, allelic associations between these polymorphic IL-4 markers and quantitative traits measuring immune response to mycobacterial antigens have been observed, suggesting that this region of the genome may be important in determining response to BCG vaccination. Analysis of multicase families in which extreme susceptibility to atypical mycobacterial infection segregates as a single recessive genetic disorder has identified the receptor for interferon-γ as another important candidate gene (IFN-γR) for mycobacterial disease susceptibility. This is currently being examined in tuberculosis family studies. Work continues to determine the global importance of these various candidate genes in determining susceptibility to tuberculosis, and to analyse new candidate genes identified using a genome scanning approach. These genetic studies should improve our understanding of the molecular and cellular mechanisms which determine susceptibility to tuberculosis.
Article
The relationship between HLA phenotype and leprosy classification was studied in 73 unrelated patients and 92 healthy controls from a mixed Negroid-Caucasoid population originating from Surinam, South America. Heterogeneity in the distribution of HLA-DR (but not A, B, and C) was detected between tuberculoid (TT∗ + BT∗) leprosy and lepromatous (BL∗ + LL∗) leprosy patients (p = 0.024). This heterogeneity appeared to be caused almost exclusively by DR3. Most significantly, the frequency of DR3 was increased among polar tuberculoid (TT) leprosy patients as compared to the rest of the patients (p = 0.0003). Compared with healthy controls the frequency of DR3 was increased among TT patients p = 0.0006), unchanged in BT patients, and decreased among lepromatous (BL + LL) patients (p = 0.027). These data indicate that in this population an DR3-associated factor controls the type of the disease that develops after infection with Mycobacterium leprae.
Article
In a study of the relation between HLA and lepromatous leprosy, HLA haplotype segregation was analyzed in 28 families with multiple cases of different types of leprosy. The inheritance of HLA-DR2, HLA-DR3, and HLA-MTI, which had previously been shown to be associated with susceptibility to leprosy or with a leprosy type, was analyzed separately. Segregation occurred in a significantly nonrandom fashion in both polar tuberculoid leprosy and lepromatous leprosy. This finding indicated HLA-encoded control of a predisposition to both of these forms of the disease. In both cases the segregation observed among healthy siblings was random. Thus, susceptibility to leprosy per se is probably not controlled by HLA-linked genes. HLA-DR3 was inherited preferentially by children with polar tuberculoid leprosy rather than lepromatous disease (P = .02), and HLA-MTI was inherited preferentially by children with lepromatous leprosy (P = .04). The results confirmed the association of these genetic markers with leprosy type.
Article
The literature on the genetic regulation of susceptibility in leprosy, tuberculosis, amd leishmaniasis is critically reviewed. Of the three groups of diseases, leprosy has received the most attention from the standpoint of human genetics. There is now evidence that genetic factors, some of them HLA-linked, play a role in tuberculoid leprosy. However, the evidence leaves considerable room for environmental determinants in addition to genetic background. Several twin studies of tuberculosis have favored some genetic factors in clinical tuberculosis, but their evidence is mitigated by the many biases underlying such studies. Though very little work has been done on the genetics of leishmaniasis in man, experimental studies in mice have begun to unravel mechanisms controlling successive steps in the course of both L. donovani and L. torpica infections. It is suggested that future work should concentrate on moving from genetics to biochemical genetics in the mouse, should extend family studies in conjunction with markers in man, and should place high priority on confirmation of reported leprosy type discordance among monozygous twins.
Article
A population association has consistently been observed between insulin-dependent diabetes mellitus (IDDM) and the "class 1" alleles of the region of tandem-repeat DNA (5' flanking polymorphism [5'FP]) adjacent to the insulin gene on chromosome 11p. This finding suggests that the insulin gene region contains a gene or genes contributing to IDDM susceptibility. However, several studies that have sought to show linkage with IDDM by testing for cosegregation in affected sib pairs have failed to find evidence for linkage. As means for identifying genes for complex diseases, both the association and the affected-sib-pairs approaches have limitations. It is well known that population association between a disease and a genetic marker can arise as an artifact of population structure, even in the absence of linkage. On the other hand, linkage studies with modest numbers of affected sib pairs may fail to detect linkage, especially if there is linkage heterogeneity. We consider an alternative method to test for linkage with a genetic marker when population association has been found. Using data from families with at least one affected child, we evaluate the transmission of the associated marker allele from a heterozygous parent to an affected offspring. This approach has been used by several investigators, but the statistical properties of the method as a test for linkage have not been investigated. In the present paper we describe the statistical basis for this "transmission test for linkage disequilibrium" (transmission/disequilibrium test [TDT]). We then show the relationship of this test to tests of cosegregation that are based on the proportion of haplotypes or genes identical by descent in affected sibs. The TDT provides strong evidence for linkage between the 5'FP and susceptibility to IDDM. The conclusions from this analysis apply in general to the study of disease associations, where genetic markers are usually closely linked to candidate genes. When a disease is found to be associated with such a marker, the TDT may detect linkage even when haplotype-sharing tests do not.
Article
Starting with a test statistic for linkage analysis based on allele sharing, we propose an associated one-parameter model. Under general missing-data patterns, this model allows exact calculation of likelihood ratios and LOD scores and has been implemented by a simple modification of existing software. Most important, accurate linkage tests can be performed. Using an example, we show that some previously suggested approaches to handling less than perfectly informative data can be unacceptably conservative. Situations in which this model may not perform well are discussed, and an alternative model that requires additional computations is suggested.
Article
A study of multicase tuberculosis pedigrees from Northern Brazil. To determine the model of inheritance for genetic susceptibility to tuberculosis, and to test the hypothesis that TNFA and NRAMP1 are candidate susceptibility genes. The study sample included 98 pedigrees, 704 individuals and 205 nuclear families. Segregation analyses were performed using the programs POINTER and COMDS. Combined segregation and linkage analysis was carried out within COMDS. Non-parametric linkage analyses were performed using BETA. A sporadic model for disease distribution in families was strongly rejected, as were polygenic and multifactorial models. A codominant single gene model provided the best fit (P < 0.001) to the data using POINTER. COMDS extended the analysis to compare single-gene and two-gene models. A general two-locus model for disease control was marginally favoured (0.01 < P < 0.05) over the codominant single-gene model. No evidence was found for linkage between susceptibility to disease per se and the TNF gene cluster. Weak linkage was observed using COMDS for genes (IL8RB, P = 0.039; D2S1471, P = 0.025) tightly linked (< 150 kb) to NRAMP1, but not for NRAMP1 itself. Tuberculosis susceptibility in this region of Brazil is under oligogenic control. Although a minor role for TNFA and NRAMP1 cannot be excluded, our data suggest that neither is a major gene involved in this oligogenic control.
Article
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human traits and on other model organisms, including mouse, fly, nematode and yeast. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.