ArticlePLoS genetics2014
Detection of pleiotropy through a Phenome-wide association study (PheWAS) of epidemiologic data as part of the Environmental Architecture for Genes Linked to Environment (EAGLE) study.
Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.
- Manifestations of Alzheimer's disease genetic risk in the blood are evident in a multiomic analysis in healthy adults aged 18 to 90.Scientific reports · 2022Pooled it
- Integrative omics provide biological and clinical insights into acute respiratory distress syndrome.Intensive care medicine · 2021Pooled it
- The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank.Human genomics · 2025Article
- Genetic variants for Alzheimer's disease and comorbid conditions.Journal of Alzheimer's disease : JAD · 2024Article
- Differential effects of environmental exposures on clinically relevant endophenotypes between sexes.Scientific reports · 2024Article
- Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network.Bioinformatics (Oxford, England) · 2024Article
- Causal genetic regulation of DNA replication on immune microenvironment in colorectal tumorigenesis: Evidenced by an integrated approach of trans-omics and GWAS.Journal of biomedical research · 2023Article
- Genetic Factors Associated with Response to Vitamin E Treatment in NAFLD.Antioxidants (Basel, Switzerland) · 2022Review
- Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders.Nature communications · 2022Article
- Genetic variation ineLife · 2022Article
- Maturation and application of phenome-wide association studies.Trends in genetics : TIG · 2022Review
- Functional Haplotype ofGenes · 2021Article
- Implicit bias of encoded variables: frameworks for addressing structured bias in EHR-GWAS data.Human molecular genetics · 2020Review
- Mendelian randomization study of serum uric acid levels and diabetes risk: evidence from the Dongfeng-Tongji cohort.BMJ open diabetes research & care · 2020Observational
- Statistical Impact of Sample Size and Imbalance on Multivariate AnalysisAMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Genetic contributions to NAFLD: leveraging shared genetics to uncover systems biology.Nature reviews. Gastroenterology & hepatology · 2020Review
- Fine mapping and identification of serum urate loci in American Indians: The Strong Heart Family Study.Scientific reports · 2019Article
- Pleiotropic association of LIPC variants with lipid and urinary 8-hydroxy deoxyguanosine levels in a Taiwanese population.Lipids in health and disease · 2019Article
- Large-Scale Simultaneous Testing of Cross-Covariance Matrices with Applications to PheWAS.Statistica Sinica · 2019Article
- GRIK5 Genetically Regulated Expression Associated with Eye and Vascular Phenomes: Discovery through Iteration among Biobanks, Electronic Health Records, and Zebrafish.American journal of human genetics · 2019Article
Corrections and comments
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Authors and funding
17 authors at 3 institutions in 1 country.
Funding
Abstract
We performed a Phenome-wide association study (PheWAS) utilizing diverse genotypic and phenotypic data existing across multiple populations in the National Health and Nutrition Examination Surveys (NHANES), conducted by the Centers for Disease Control and Prevention (CDC), and accessed by the Epidemiological Architecture for Genes Linked to Environment (EAGLE) study. We calculated comprehensive tests of association in Genetic NHANES using 80 SNPs and 1,008 phenotypes (grouped into 184 phenotype classes), stratified by race-ethnicity. Genetic NHANES includes three surveys (NHANES III, 1999-2000, and 2001-2002) and three race-ethnicities: non-Hispanic whites (n = 6,634), non-Hispanic blacks (n = 3,458), and Mexican Americans (n = 3,950). We identified 69 PheWAS associations replicating across surveys for the same SNP, phenotype-class, direction of effect, and race-ethnicity at p<0.01, allele frequency >0.01, and sample size >200. Of these 69 PheWAS associations, 39 replicated previously reported SNP-phenotype associations, 9 were related to previously reported associations, and 21 were novel associations. Fourteen results had the same direction of effect across more than one race-ethnicity: one result was novel, 11 replicated previously reported associations, and two were related to previously reported results. Thirteen SNPs showed evidence of pleiotropy. We further explored results with gene-based biological networks, contrasting the direction of effect for pleiotropic associations across phenotypes. One PheWAS result was ABCG2 missense SNP rs2231142, associated with uric acid levels in both non-Hispanic whites and Mexican Americans, protoporphyrin levels in non-Hispanic whites and Mexican Americans, and blood pressure levels in Mexican Americans. Another example was SNP rs1800588 near LIPC, significantly associated with the novel phenotypes of folate levels (Mexican Americans), vitamin E levels (non-Hispanic whites) and triglyceride levels (non-Hispanic whites), and replication for cholesterol levels. The results of this PheWAS show the utility of this approach for exposing more of the complex genetic architecture underlying multiple traits, through generating novel hypotheses for future research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.