ArticleScientific reports2017
Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Associations between lifestyle, genetic liability for severe mental illness and risk of incident somatic illnesses.Translational psychiatry · 2026Article
- Article
- Evidence for Shared Genetic Aetiology Between Schizophrenia, Cardiometabolic, and Inflammation-Related Traits: Genetic Correlation and Colocalization Analyses.Schizophrenia bulletin open · 2022Article
- Incretin Hormones in Obesity and Related Cardiometabolic Disorders: The Clinical Perspective.Nutrients · 2021Review
- Article
- Identification of 67 Pleiotropic Genes Associated With Seven Autoimmune/Autoinflammatory Diseases Using Multivariate Statistical Analysis.Frontiers in immunology · 2020Article
- Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method.Journal of diabetes and its complications · 2018Article
- Article
- Leveraging epigenomics and contactomics data to investigate SNP pairs in GWAS.Human genetics · 2018Article
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Authors and funding
14 authors.
Funding
Abstract
Genome-wide association studies (GWASs) have been performed extensively in diverse populations to identify single nucleotide polymorphisms (SNPs) associated with complex diseases or traits. However, to date, the SNPs identified fail to explain a large proportion of the variance of the traits/diseases. GWASs on type 2 diabetes (T2D) and obesity are generally focused on individual traits independently, and genetic intercommunity (common genetic contributions or the product of over correlated phenotypic world) between them are largely unknown, despite extensive data showing that these two phenotypes share both genetic and environmental risk factors. Here, we applied a recently developed genetic pleiotropic conditional false discovery rate (cFDR) approach to discover novel loci associated with BMI and T2D by incorporating the summary statistics from existing GWASs of these two traits. Conditional Q-Q and fold enrichment plots were used to visually demonstrate the strength of pleiotropic enrichment. Adopting a cFDR nominal significance level of 0.05, 287 loci were identified for BMI and 75 loci for T2D, 23 of which for both traits. By incorporating related traits into a conditional analysis framework, we observed significant pleiotropic enrichment between obesity and T2D. These findings may provide novel insights into the etiology of obesity and T2D, individually and jointly.
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