Andre Franke's research while affiliated with University Medical Center Schleswig-Holstein and other places

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Publications (358)


General study workflow
Overview of the main analytical steps conducted in the study. While sex-specific GWAS meta-analysis results were used to dissect similarities and differences between both sexes, the pooled meta-analysis results were used for further functional interpretation.
Genetic correlation between individual discovery stage GWAS of the N-GWAMA meta-analysis
Genetic correlations between the discovery stage input GWAS were calculated using LDSC on the summary statistics.
Manhattan and Miami plots of discovery stage meta-analyses
a, Results of the pooled discovery meta-analysis. b, Results of the sex-specific discovery meta-analyses. Female-only results are depicted in red in the upper section of the Miami plot, male-only results are depicted in blue in lower section of the Miami plot. The x-axis shows chromosome and base pair positions of the tested variants. The y-axis shows significance as −log10 of the two-sided nominal P-values of the N-GWAMA analyses. Red horizontal dashed lines indicate the Bonferroni-adjusted significant threshold of P < 5 × 10⁻⁸.
Simulation study assessing sex-specific heritability and genetic correlation divergence
Simulation of environmental effect that reconciles sex-difference in heritability with the similarity of the SNP effect sizes. a, Frequency density distributions of the liabilities for different models. Blue line, base model, φ=Xβ+ε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi =X\beta +\varepsilon$$\end{document}, as assumed to be present in males with h² = 0.1395, X and β as determined by GWAS, ε~N(0,1)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varepsilon \sim N(0,1)$$\end{document}, and a disease threshold in keeping with the male RLS prevalence of 0.06 (shaded area under the curve). Black line, model with non-interacting binary environmental effect, φ=Xβ+τE+ε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi =X\beta +\tau E+\varepsilon$$\end{document}, with X,β,ε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X,\beta ,\varepsilon$$\end{document} and threshold as in the base model plus an additional binary effect E~Bernoulli(p=0.21)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$E \sim Bernoulli(p=0.21)$$\end{document}, representing childlessness with a weight vector τ such that that prevalence is 0.13 as in females. Red line, analogous G×E model, φ=Xβ+Xη∘E+ε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi =X\beta +X\eta \circ E+\varepsilon$$\end{document}, but where the environmental effect now interacts with the genetic effects and the corresponding weight vector η is chosen in accordance with the female prevalence. b, c, Optimization of the model φ=Xβ+Xη∘E+τE+ε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi =X\beta +X\eta \circ E+\tau E+\varepsilon$$\end{document} with X,β,E,ε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X,\beta ,E,\varepsilon$$\end{document} and threshold as above, where the additional degree of freedom is covered by also considering the mean effect size ratio rb observed in the GWAS. Heatmap and contour plot for logistic regression-based liability scaled LDSC h² (b) and effect size ratio rb (c) as functions of Var(τE)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Var(\tau E)$$\end{document} and Var(Xη∘E)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Var(X\eta \circ E)$$\end{document}. Optimal values for Var(τE)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Var(\tau E)$$\end{document} and Var(Xη∘E)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Var(X\eta \circ E)$$\end{document}, that is, for τ and η, respectively, comply with female prevalence, female heritability, and observed effect size ratio as well. The optimal τ turns out to be close to zero so that the environmental factor acts mostly via genetic interaction.
Per chromosome heritability estimation based on the EU-RLS-GENE dataset
Heritability estimates for each chromosome. a, Overall heritability of SNPs on each chromosome. The height of the bar represents the point estimate of the heritability, and the error bars indicate the standard error of this point estimate. b, Enrichment of heritability, which is defined as the proportion of SNP-heritability divided by the proportion of SNPs in each chromosome. The height of the bar represents the point estimate of the enrichment of heritability, and the error bars indicate the standard error of this point estimate.

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Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction
  • Article
  • Full-text available

June 2024

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95 Reads

Nature Genetics

Barbara Schormair

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Chen Zhao

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Juliane Winkelmann

Restless legs syndrome (RLS) affects up to 10% of older adults. Their healthcare is impeded by delayed diagnosis and insufficient treatment. To advance disease prediction and find new entry points for therapy, we performed meta-analyses of genome-wide association studies in 116,647 individuals with RLS (cases) and 1,546,466 controls of European ancestry. The pooled analysis increased the number of risk loci eightfold to 164, including three on chromosome X. Sex-specific meta-analyses revealed largely overlapping genetic predispositions of the sexes (rg = 0.96). Locus annotation prioritized druggable genes such as glutamate receptors 1 and 4, and Mendelian randomization indicated RLS as a causal risk factor for diabetes. Machine learning approaches combining genetic and nongenetic information performed best in risk prediction (area under the curve (AUC) = 0.82–0.91). In summary, we identified targets for drug development and repurposing, prioritized potential causal relationships between RLS and relevant comorbidities and risk factors for follow-up and provided evidence that nonlinear interactions are likely relevant to RLS risk prediction.

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Effect of oral multispecies probiotic on wound healing, periodontitis and quality of life on patients with diabetes

June 2024

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9 Reads

Journal of Wound Care

Objective Hard-to-heal (chronic) wounds are common in patients with diabetes and are associated with a decrease in quality of life (QoL). Pathogenic bacteria often colonise hard-to-heal wounds and hinder the healing process which poses a high risk for (systemic) infections. In this study, we aim to prove that probiotics are capable of displacing human pathogenic bacteria, ameliorating inflammation and positively influencing the microenvironment/microbiome of skin and mucosa. Method In this pilot study, patients with diabetes and hard-to-heal wounds with a duration of 2–120 months received an oral multispecies probiotic daily for six months. Changes in oral, stool and wound microbiome were investigated, and the effects of the probiotic intervention on wound healing, periodontitis and wound-specific quality of life (Wound-QOL-17) were analysed throughout the course of this clinical study. Results In total, seven of the 20 patients included were unable to complete the study. After six months of oral probiotic intake supplementation in five out of the remaining 13 patients, the wounds had healed completely. Most patients reported an improvement in wound-specific QoL, with particular positive effects on pain and mobility. Microbiome analysis revealed a reduction in Staphylococcus aureus and Pseudomonas aeruginosa, and Staphylococcus epidermis in healed wounds. Conclusion This findings of this study provide evidence for the beneficial effects of the oral application of a multispecies probiotic over six months in patients with diabetes and hard-to-heal wounds on wound closure, wound microbial pattern, QoL, and on dental health. A randomised, placebo-controlled, double-blinded clinical trial is required to verify the results.



Kenntnisse und tatsächliche Umsetzung der Empfehlungen zur Prävention des plötzlichen Säuglingstods innerhalb des ersten Lebensjahres – eine Analyse longitudinaler Daten der KUNO Kids GesundheitsstudieKnowledge and actual implementation of the recommendations on the prevention of sudden infant death syndrome—analysis of the longitudinal data of the KUNO Kids Health Study

May 2024

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25 Reads

Somnologie - Schlafforschung und Schlafmedizin

Sudden infant death syndrome (SIDS) is still one of the leading causes of death in infancy. The aim of our study was to assess young mothers’ advance knowledge on SIDS prevention recommendations just prior to discharge from the maternity ward and to evaluate the actual implementation of these recommendations in families during the first year of life. The data were collected as part of the prospective KUNO Kids Health Study. For this purpose, standardized interviews were conducted in the maternity clinic, and questionnaires on the infant’s sleeping place, sleeping environment, and body position, as well as exposure to environmental factors, after 1, 6, and 12 months. Descriptive statistics were used to visualize the knowledge and planned implementation of SIDS prevention measures as relative and absolute frequencies. The majority of mothers were able to actively name the most important recommendations for healthy infant sleep immediately after giving birth. Actual implementation showed that 94% of the 1400 infants slept in their parents’ bedroom at 4 weeks of age. Although the most common sleeping furniture was a bedside-sleeper (48% at 4 weeks), we observed a significant proportion of families who regularly practiced bed-sharing. Thus, for 16% of the children, the parental bed was the default sleeping place. In terms of body position, a total of 12% of infants were still regularly placed in the prone position to sleep. 17% of the children lived in households with one or more smokers. Although most parents in our birth cohort were already implementing many recommendations for the prevention of SIDS, our analysis showed considerable differences between intentions after birth and actual implementation during the first year of life. The most striking deviation from the prevention recommendations was the frequent practice of bed-sharing (sharing the place of sleep with the infant).


Antigen-driven expansion of public clonal T cell populations in inflammatory bowel diseases

May 2024

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9 Reads

Background Inflammatory Bowel Diseases (IBDs), including Crohn’s disease (CD) and Ulcerative colitis (UC) are known to involve shifts in the T cell repertoires of affected individuals. These include a reduction in regulatory T cells in both diseases, increase in TNFα production in CD, expansion of an unconventional T cell population in CD, and clonal expansion of abundant T cell populations in CD mucosal tissue. There are also differential HLA risk and protective alleles between CD and UC, implying CD- and UC-specific repertoire changes that have not yet been identified. Methods We performed ImmunoSequencing on blood samples from 3,853 CD cases, 1,803 UC cases, and 5,596 healthy controls. For each sample we imputed HLA type and cytomegalovirus (CMV) infection status based on public T cell receptor β (TCRB) usage and identified public TCRBs enriched in CD or UC cases. Findings We find that there is a CMV-dependent increase in T cell clonality in CD and UC cases compared to CMV positive controls, and a CMV-independent decrease in low-expansion clonal populations in CD only. Strikingly, from blood we identify public TCRBs specifically expanded in CD or UC. These sequences are more abundant in intestinal mucosal samples, form groups of similar CDR3 sequences, and can be associated to specific HLA alleles. Although the prevalence of these sequences is higher in ileal and ileocolonic CD than colonic CD or UC, the TCRB sequences themselves are shared across CD and not with UC. Interpretation There are peptide antigens that commonly evoke immune reactions in IBD cases and rarely in non-IBD controls. These antigens differ between CD and UC. CD, particularly ileal CD, also seems to involve more substantial changes in clonal population structure than UC, compared to healthy controls.




Oral microbiota of patients with phenylketonuria: A nation-based cross-sectional study

April 2024

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16 Reads

Journal Of Clinical Periodontology

Aim: The oral microenvironment contributes to microbial composition and immune equilibrium. It is considered to be influenced by dietary habits. Phenylketonuria (PKU) patients, who follow a lifelong low-protein diet, exhibit higher prevalence of oral diseases such as periodontitis, offering a suitable model to explore the interplay between diet, oral microbiota and oral health. Materials and Methods: We conducted 16S rDNA sequencing on saliva and subgin-gival plaque from 109 PKU patients (ages 6-68 years) and 114 age-matched controls and correlated oral microbial composition and dental health. Results: PKU patients exhibited worse dental health, reduced oral microbial diversity and a difference in the abundance of specific taxa, especially Actinobacteriota species, compared to controls. PKU patients with poor periodontal health exhibited higher alpha diversity than the orally healthy ones, marked by high abundance of the genus Tannerella. Notably, the observed taxonomic differences in PKU patients with normal Memduh Bingöl and Alessio Cardilli contributed equally to this study.


Genome-wide meta-analysis of short-tandem repeats for Parkinson's disease risk using genotype imputation

April 2024

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21 Reads

Brain Communications

Idiopathic Parkinson’s disease is determined by a combination of genetic and environmental factors. Recently, the first genome-wide association study on short-tandem repeats in Parkinson’s disease reported on eight suggestive short-tandem repeat-based risk loci (α = 5.3 × 10−6), of which four were novel, i.e. they had not been implicated in Parkinson’s disease risk by genome-wide association analyses of single-nucleotide polymorphisms before. Here, we tested these eight candidate short-tandem repeats in a large, independent Parkinson’s disease case–control dataset (n = 4757). Furthermore, we combined the results from both studies by meta-analysis resulting in the largest Parkinson’s disease genome-wide association study of short-tandem repeats to date (n = 43 844). Lastly, we investigated whether leading short-tandem repeat risk variants exert functional effects on gene expression regulation based on methylation quantitative trait locus data in human ‘post-mortem’ brain (n = 142). None of the eight previously reported short-tandem repeats were significantly associated with Parkinson’s disease in our independent dataset after multiple testing correction (α = 6.25 × 10−3). However, we observed modest support for short-tandem repeats near CCAR2 and NCOR1 in the updated meta-analyses of all available data. While the genome-wide meta-analysis did not reveal additional study-wide significant (α = 6.3 × 10−7) short-tandem repeat signals, we identified seven novel suggestive Parkinson’s disease short-tandem repeat risk loci (α = 5.3 × 10−6). Of these, especially a short-tandem repeat near MEIOSIN showed consistent evidence for association across datasets. CCAR2, NCOR1 and one novel suggestive locus identified here (LINC01012) emerged from colocalization analyses showing evidence for a shared causal short-tandem repeat variant affecting both Parkinson’s disease risk and cis DNA methylation in brain. Larger studies, ideally using short-tandem repeats called from whole-sequencing data, are needed to more fully investigate their role in Parkinson’s disease.



Citations (44)


... In the context of routine immunohematology, serological techniques enable us to characterize most of the Rh phenotypes, and within the last decade, molecular biology solutions have helped compensate for the main limitations of serological techniques [12][13][14][15][16][17][18]. Still, in some situations, ambiguities or discrepancies cannot be resolved, especially for RhCE, and uncertainties remain regarding the transfusion instructions; in this context, the French Blood Center, whose main mission is to ensure France's self-sufficiency in blood products under optimal safety and quality conditions, is continuously setting up molecular typing strategies in line with technological developments [18][19][20][21][22][23][24][25][26][27][28][29]. ...

Reference:

Resolution of RHCE Haplotype Ambiguities in Transfusion Settings
DNA Reference Reagents for Genotyping RH Variants
  • Citing Article
  • March 2024

Journal of Molecular Diagnostics

... They treat pathogenicity prediction as a classification problem in which a variant can be either pathogenic or benign. Specifically for missense variants-the focus of this paper-these tools may integrate a diverse range of properties into a single model (Jain et al. 2024). This includes amino acid indexes such as hydrophobicity and volume changes, conservation-based metrics, like Shannon Entropy, as well as structure or biophysically related attributes, like accessibility and free energy estimates. ...

CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods

Genome Biology

... This is achieved, for instance, by rebooting the microbiome through provisioning of microbiome consortia (or specific isolates) from healthy donor colonies, mimicking a practice referred to as microbial transfer therapy in human medical settings 169 . Once a potent probiotic is identified, metabolic modelling can be used to predict the underlying prebiotic (that is, metabolite) to enable targeted microbiome manipulation through precision prebiotics 170 . Natural processes, such as the dispersion of microorganisms through trophic interactions 171 , could also be leveraged to rehabilitate microbiomes. ...

Metabolic model predictions enable targeted microbiome manipulation through precision prebiotics

Microbiology Spectrum

... Other neuropathological findings show neuronal loss in the pyramidal layers of the cerebral cortex and degeneration of limbic system structures. Indeed, recent studies reveal that these areas present large deposits of βA, consequently stimulating the activity of glial cells, which translates into a neuroinflammatory cascade responsible for progressive neurodegeneration in the brain affected by AD (Altunkaya et al., 2024;Troci et al., 2024). This correlation between inflammation and CNS degeneration, especially in the more advanced stages of the disease, is supported by the positive feedback mechanism between βA plaques, active microglia and reactive astrocytes. ...

Disease and stage specific alterations of the oral and fecal microbiota in Alzheimer’s disease

PNAS Nexus

... These included eleven homozygous individuals and four individuals who were heterozygous for two different nonsense variants. These variants were predicted to be in trans [41], hence these individuals were also included as SLC30A8 knockouts. Gene burden analysis of LoF hetero-and homozygotes showed a 35% per allele lower T2D risk (ORadditive=0.66 [0.54 -0.80], p = 1.6E-05; ...

Inferring compound heterozygosity from large-scale exome sequencing data
  • Citing Article
  • December 2023

Nature Genetics

... Differentiating pathogenic TR expansions from benign polymorphic variations requires prior knowledge of the range of repeat length variability of each TR locus in the general population. While population databases such as the Genome Aggregation Database and the Database of Genomic Variants have been fundamental to the prioritization and identification of rare pathogenic sequence and copy number variations 33,34 , there has been a paucity of TR variation databases derived from LRS datasets 32 , which are more accurate in revealing the genotypes of TRs greater than ~300 to 500 bp in size. A comprehensive and accurate catalog of variations of all TRs genome-wide built from LRS would facilitate the discovery of novel disease-associated TR loci and may help account for some of the missing heritability among patients with undiagnosed rare and complex disorders. ...

A genomic mutational constraint map using variation in 76,156 human genomes

Nature

... However, due to the high prevalence of HLA polymorphisms and the high variation across populations, HLA allele imputation requires a large amount of information from each population. It relies on reference panels of known SNPs, HLA haplotypes, and genotypes that allow for linking SNPs and HLA alleles, which are specific to each population; obviously, this approach is not suitable in many cases, especially in underrepresented populations [35]. The vast majority of GWASs have been conducted in European populations [36,37], and imputations increases in complexity when the population has high admixture, as is the case for Latin Americans. ...

18th International HLA and Immunogenetics Workshop: Report on the SNP‐HLA Reference Consortium (SHLARC) component

HLA

... ISN-tractor has the potential to expand the applicability of ISN-based data analysis on the larger datasets that are continuously nowadays, and its open source nature ensures that it can be further expanded following the needs of the community, including adding additional similarity measures (i.e., biweight midcorrelation, commonly used in gene co-expression analysis [29]), also allowing its integration in new precision medicine technological paradigms, such as Federated Learning (FL) [30]. ...

Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients

Scientific Reports

... Through the production of shortchain fatty acids, Porphyromonadaceae taxa might likely play a role as adiposity modulators (Peng et al., 2009). To fulfill its function of safeguarding the gut and the human body, Jennings et al. discovered that individuals with higher relative abundances of Porphyromonadaceae had lower levels of adipose tissue and systemic inflammation (Jennings et al., 2023). Moreover, Valkonen et al. observed that Family XI could provide protection against allergic illness by contrasting the intestinal flora of the healthy control group with that of allergic disease patients (Valkonen et al., 2015). ...

The gut microbiome modulates associations between adherence to a Mediterranean-style Diet, abdominal adiposity and C-reactive protein in population-level analysis
  • Citing Article
  • November 2023

American Journal of Clinical Nutrition

... To ensure proper follow-up, facilities reached out to individuals showing symptoms indicative of COVID-19. According to a recent publication (Tedbury et al., 2023), CFTR may additionally affect the severity of SARS-CoV-2 infection and COVID-19 ailments in CF patients (Vitiello et al., 2023). Meanwhile, a literature evaluation (Marques et al., 2023) emphasizes the restricted understanding regarding the effects of COVID-19 on CF patients. ...

Mechanisms by which the cystic fibrosis transmembrane conductance regulator may influence SARS‐CoV‐2 infection and COVID‐19 disease severity
The FASEB Journal

The FASEB Journal