ArticleBioData mining2015
Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry.
Article in BioData mining, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Assessment of multi-population polygenic risk scores for lipid traits in African Americans.PeerJ · 2023Article
- A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population.Frontiers in genetics · 2019Article
- Article
- Racial Disparities in Lung Cancer Survival: The Contribution of Stage, Treatment, and Ancestry.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2018Article
- Unravelling the human genome-phenome relationship using phenome-wide association studies.Nature reviews. Genetics · 2016Review
- THE CHALLENGES IN USING ELECTRONIC HEALTH RECORDS FOR PHARMACOGENOMICS AND PRECISION MEDICINE RESEARCH.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016Article
- Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data.Frontiers in genetics · 2016Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundRacial/ethnic differences for commonly measured clinical variables are well documented, and it has been postulated that population-specific genetic factors may play a role. The genetic heterogeneity of admixed populations, such as African Americans, provides a unique opportunity to identify genomic regions and variants associated with the clinical variability observed for diseases and traits across populations.
methodTo begin a systematic search for these population-specific genomic regions at the phenome-wide scale, we determined the relationship between global genetic ancestry, specifically European and African ancestry, and clinical variables measured in a population of African Americans from BioVU, Vanderbilt University's biorepository linked to de-identified electronic medical records (EMRs) as part of the Epidemiologic Architecture using Genomics and Epidemiology (EAGLE) study. Through billing (ICD-9) codes, procedure codes, labs, and clinical notes, 36 common clinical and laboratory variables were mined from the EMR, including body mass index (BMI), kidney traits, lipid levels, blood pressure, and electrocardiographic measurements. A total of 15,863 DNA samples from non-European Americans were genotyped on the Illumina Metabochip containing ~200,000 variants, of which 11,166 were from African Americans. Tests of association were performed to examine associations between global ancestry and the phenotype of interest.
resultsIncreased European ancestry, and conversely decreased African ancestry, was most strongly correlated with an increase in QRS duration, consistent with previous observations that African Americans tend to have shorter a QRS duration compared with European Americans. Despite known racial/ethnic disparities in blood pressure, European and African ancestry was neither associated with diastolic nor systolic blood pressure measurements.
conclusionCollectively, these results suggest that this clinical population can be used to identify traits in which population differences may be due, in part, to population-specific genetics.
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Registered trials
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