Variabilité Génétique et Maladies Humaines
Présentation
Les objectifs généraux du programme de recherche de l’UMR-946 sont :
- d'identifier les facteurs génétiques impliqués dans les maladies humaines
- de comprendre les mécanismes d'action de ces gènes
- de caractériser les autres facteurs (environnementaux, mode de vie...) qui peuvent moduler l’effet des gènes sur la maladie.
Ce programme s'articule autour de 2 thématiques principales et complémentaires :
- Méthodologie Statistique en Génétique Epidémiologique
- Etudes de Génétique Epidémiologique de Maladies Multifactorielles
Au total, le programme de recherche de l' UMR-946 est conçu pour répondre aux nouveaux défis posés par les avancées sans cesse croissantes dans les technologies de génotypage et de séquençage et de la biologie à grande échelle afin de progresser vers une approche de biologie des systèmes des maladies.
Thèmes de recherche
1. Méthodologie Statistique en Génétique Epidémiologique
Les objectifs de nos développements méthodologiques sont :
- de prendre en compte les mécanismes complexes impliqués dans les maladies multifactorielles :
interactions GènexGène, GènexEnvironnement, pléiotropie, hétérogénéité génétique…
- d’étendre les méthodes basées sur la consanguinité pour faciliter l’identification des gènes
- de permettre l’étude d'un large spectre de variabilité génétique
- d’intégrer les données de la biologie à grande échelle (génomique, transcriptomique, épigenomique,…)
2. Etudes de Génétique Epidémiologique de Maladies Multifactorielles
Nos études de génétique épidémiologique sont principalement ciblées sur l'asthme, les maladies allergiques et les cancers. Ces études reposent sur de grandes collections de données que nous avons recueillies pour divers cancers (mélanome, cancer du poumon, cancer des voies aérodigestives supérieures, cancer de la vessie) ou auxquelles notre unité est étroitement associée (comme l’Etude épidémiologique des facteurs Génétiques et Environnementaux de l’asthme (EGEA). Ces études intègrent des études d'association pangénomique et des approches de biologie à grande échelle appliquées à de nombreux phénotypes associés aux maladies. Ces études sont menées dans un cadre pluridisciplinaire et dans un contexte de nombreuses collaborations nationales, européennes et internationales.
Les principaux objectifs de ces études sont :
- d’identifier de nouveaux gènes et des interactions gène-environnement impliqués dans ces maladies
- de mieux comprendre les mécanismes moléculaires qui sous-tendent le processus pathologique
- de traduire les résultats de la recherche en applications médicales
[hal-00719536] A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma.
Date: 20 juil 2012 - 10:49
Desc: So far, no common environmental and/or phenotypic factor has been associated with melanoma and renal cell carcinoma (RCC). The known risk factors for melanoma include sun exposure, pigmentation and nevus phenotypes; risk factors associated with RCC include smoking, obesity and hypertension. A recent study of coexisting melanoma and RCC in the same patients supports a genetic predisposition underlying the association between these two cancers. The microphthalmia-associated transcription factor (MITF) has been proposed to act as a melanoma oncogene; it also stimulates the transcription of hypoxia inducible factor (HIF1A), the pathway of which is targeted by kidney cancer susceptibility genes. We therefore proposed that MITF might have a role in conferring a genetic predisposition to co-occurring melanoma and RCC. Here we identify a germline missense substitution in MITF (Mi-E318K) that occurred at a significantly higher frequency in genetically enriched patients affected with melanoma, RCC or both cancers, when compared with controls. Overall, Mi-E318K carriers had a higher than fivefold increased risk of developing melanoma, RCC or both cancers. Codon 318 is located in a small-ubiquitin-like modifier (SUMO) consensus site (ΨKXE) and Mi-E318K severely impaired SUMOylation of MITF. Mi-E318K enhanced MITF protein binding to the HIF1A promoter and increased its transcriptional activity compared to wild-type MITF. Further, we observed a global increase in Mi-E318K-occupied loci. In an RCC cell line, gene expression profiling identified a Mi-E318K signature related to cell growth, proliferation and inflammation. Lastly, the mutant protein enhanced melanocytic and renal cell clonogenicity, migration and invasion, consistent with a gain-of-function role in tumorigenesis. Our data provide insights into the link between SUMOylation, transcription and cancer.
[hal-02650683] A Genome-Wide Association Study of Upper Aerodigestive Tract Cancers Conducted within the INHANCE Consortium
Date: 29 mai 2020 - 15:34
Desc: Genome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers. Genome-wide genotyping was carried out using the Illumina HumanHap300 beadchips in 2,091 UADT cancer cases and 3,513 controls from two large European multi-centre UADT cancer studies, as well as 4,821 generic controls. The 19 top-ranked variants were investigated further in an additional 6,514 UADT cancer cases and 7,892 controls of European descent from an additional 13 UADT cancer studies participating in the INHANCE consortium. Five common variants presented evidence for significant association in the combined analysis (p <= 5 x 10(-7)). Two novel variants were identified, a 4q21 variant (rs1494961, p = 1 x 10(-8)) located near DNA repair related genes HEL308 and FAM175A (or Abraxas) and a 12q24 variant (rs4767364, p = 2 x 10(-8)) located in an extended linkage disequilibrium region that contains multiple genes including the aldehyde dehydrogenase 2 (ALDH2) gene. Three remaining variants are located in the ADH gene cluster and were identified previously in a candidate gene study involving some of these samples. The association between these three variants and UADT cancers was independently replicated in 5,092 UADT cancer cases and 6,794 controls non-overlapping samples presented here (rs1573496-ADH7, p = 5 x 10(-8); rs1229984-ADH1B, p = 7 x 10(-9); and rs698-ADH1C, p = 0.02). These results implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.
[hal-01567805] Rare and low frequency variant stratification in the UK population: Description and impact on association tests
Date: 24 juil 2017 - 16:07
Desc: Although variations in allele frequencies at common SNPs have been extensively studied in different populations, little is known about the stratification of rare variants and its impact on association tests. In this paper, we used Affymetrix 500K genotype data from the WTCCC to investigate if variants in three different frequency categories (below 1%, between 1 and 5%, above 5%) show different stratification patterns in the UK population. We found that these patterns are indeed different. The top principal component extracted from the rare variant category shows poor correlations with any principal component or combination of principal components from the low frequency or common variant categories. These results could suggest that a suitable solution to avoid false positive association due to population stratification would involve adjusting for the respective PCs when testing for variants in different allele frequency categories. However, we found this was not the case both on type 2 diabetes data and on simulated data. Indeed, adjusting rare variant association tests on PCs derived from rare variants does no better to correct for population stratification than adjusting on PCs derived from more common variants. Mixed models perform slightly better for low frequency variants than PC based adjustments but less well for the rarest variants. These results call for the need of new methodological developments specifically devoted to address rare variant stratification issues in association tests.
[pasteur-02075958] Asthma and atopic dermatitis are associated with increased risk of clinical Plasmodium falciparum malaria
Date: 21 Mar 2019 - 17:26
Desc: To assess the impact of atopy and allergy on the risk of clinical malaria.
[hal-04305779] Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
Date: 24 nov 2023 - 16:27
Desc: Background: The functional impact of genetic variation has been extensively surveyed, revealing that genetic changes correlated to phenotypes lie mostly in non-coding genomic regions. Studies have linked allele-specific genetic changes to gene expression, DNA methylation, and histone marks but these investigations have only been carried out in a limited set of samples. Results: We describe a large-scale coordinated study of allelic and non-allelic effects on DNA methylation, histone mark deposition, and gene expression, detecting the interrelations between epigenetic and functional features at unprecedented resolution. We use information from whole genome and targeted bisulfite sequencing from 910 samples to perform genotype-dependent analyses of allele-specific methylation (ASM) and non-allelic methylation (mQTL). In addition, we introduce a novel genotype-independent test to detect methylation imbalance between chromosomes. Of the ~2.2 million CpGs tested for ASM, mQTL, and genotype-independent effects, we identify ~32% as being genetically regulated (ASM or mQTL) and ~14% as being putatively epigenetically regulated. We also show that epigenetically driven effects are strongly enriched in repressed regions and near transcription start sites, whereas the genetically regulated CpGs are enriched in enhancers. Known imprinted regions are enriched among epigenetically regulated loci, but we also observe several novel genomic regions (e.g., HOX genes) as being epigenetically regulated. Finally, we use our ASM datasets for functional interpretation of disease-associated loci and show the advantage of utilizing naïve T cells for understanding autoimmune diseases. Conclusions: Our rich catalogue of haploid methylomes across multiple tissues will allow validation of epigenome association studies and exploration of new biological models for allelic exclusion in the human genome.
Autres contacts
Hôpital St Louis - Centre Hayem
1, avenue Claude Vellefaux
75475 PARIS CEDEX 10