1. Genome-wide associations of human gut microbiome variation and implications for causal inference analyses
- Author
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Nicholas J. Timpson, Sara Vieira-Silva, Marie Joossens, Rodrigo Bacigalupe, Malte C. Rühlemann, Gwen Falony, Kaitlin H Wade, David A. Hughes, Leen Rymenans, Andre Franke, Susan M. Ring, Chloë Verspecht, Liesbet Henckaerts, Jeroen Raes, Jun Wang, and Raul Y. Tito
- Subjects
Microbiology (medical) ,SUSCEPTIBILITY LOCI ,Genotype ,Quantitative Trait Loci ,Immunology ,Genome-wide association study ,Quantitative trait locus ,Biology ,Polymorphism, Single Nucleotide ,Applied Microbiology and Biotechnology ,Microbiology ,Article ,HOST GENETICS ,Feces ,Mice ,03 medical and health sciences ,BUTYRATE ,RNA, Ribosomal, 16S ,Mendelian randomization ,IMPUTATION ,Genetics ,TOOL ,Animals ,Humans ,Microbiome ,METAANALYSIS ,030304 developmental biology ,Genetic association ,0303 health sciences ,Science & Technology ,030306 microbiology ,Microbiota ,Mendelian Randomization Analysis ,Cell Biology ,Gastrointestinal Microbiome ,INSIGHTS ,Phenotype ,Evolutionary biology ,Causal inference ,MENDELIAN RANDOMIZATION ,Bifidobacterium ,ICEP ,Life Sciences & Biomedicine ,Imputation (genetics) ,Genome-Wide Association Study - Abstract
Recent population-based1–4 and clinical studies5 have identified a range of factors associated with human gut microbiome variation. Murine quantitative trait loci6, human twin studies7 and microbiome genome-wide association studies1,3,8–12 have provided evidence for genetic contributions to microbiome composition. Despite this, there is still poor overlap in genetic association across human studies. Using appropriate taxon-specific models, along with support from independent cohorts, we show an association between human host genotype and gut microbiome variation. We also suggest that interpretation of applied analyses using genetic associations is complicated by the probable overlap between genetic contributions and heritable components of host environment. Using faecal 16S ribosomal RNA gene sequences and host genotype data from the Flemish Gut Flora Project (n = 2,223) and two German cohorts (FoCus, n = 950; PopGen, n = 717), we identify genetic associations involving multiple microbial traits. Two of these associations achieved a study-level threshold of P = 1.57 × 10−10; an association between Ruminococcus and rs150018970 near RAPGEF1 on chromosome 9, and between Coprococcus and rs561177583 within LINC01787 on chromosome 1. Exploratory analyses were undertaken using 11 other genome-wide associations with strong evidence for association (P
- Published
- 2020
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