PLoS ONE · 2018 · 13 citations · 42 references
Life SciencesGeneticsMolecular GeneticsEpidemiologyGenetic EpidemiologyHuman GeneticsCommunity StructureFamily-based Genetic AnalysisGenetic RiskPopulation Genetics In MedicineSocial EpidemiologySocial Network AnalysisBlood PressureBlood Pressure GeneticsEnzyme Gene VariantsFamily Network StructureGenetic Determinants Of HypertensionSocial Group CompositionSocial Network DynamicsSocial Network Structure
Deaths due to hypertension in the US are highest among African Americans, who have a higher prevalence of hypertension and more severe hypertensive symptoms. Research indicates that there are both genetic and sociocultural risk factors for hypertension. Racial disparities in hypertension also likely involve genetic and sociocultural factors, but the factors may interact and manifest differently across racial groups. Here we use a biocultural approach to integrate genetic and social network data to better understand variation in blood pressure. We assay genetic variation at the angiotensin I converting enzyme gene (ACE) and analyze social network composition and structure in African Americans living in Tallahassee, FL (n = 138). We demonstrate that models including both genetic and social network data explain significantly more variation in blood pressure and have better model diagnostics than do models including only one datatype. Specifically, optimal models for systolic and diastolic blood pressure explain a notable 35% and 21%, respectively, of blood pressure variation. Analysis of the social networks reveals that individuals whose networks are dominated by family connections and are more fragmented have higher blood pressure. Historically, family support has been associated with better mental and physical health, but our results suggest that those family connections can also take a toll on health. These findings raise compelling questions regarding the roles of genetics, family, and social environment in hypertension in the African American community and suggest that interactions among these factors may help explain racial disparities in hypertension more accurately than any of the factors alone.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Haploview: analysis and visualization of LD and haplotype maps
Jeffrey C. Barrett, Ben Fry, Julian Maller et al. · Bioinformatics · 2004 · 14.7K citations · Full text
All Our Kin: Strategies for Survival in a Black Community.
David Boswell, Carol Β. Stack · Man · 1975 · 3.4K citations