학술논문
Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry
Document Type
article
Author
de las Fuentes, L; Sung, YJ; Sitlani, CM; Avery, CL; Bartz, TM; Keyser, C de; Evans, DS; Li, X; Musani, SK; Ruiter, R; Smith, AV; Sun, F; Trompet, S; Xu, H; Arnett, DK; Bis, JC; Broeckel, U; Busch, EL; Chen, Y-DI; Correa, A; Cummings, SR; Floyd, JS; Ford, I; Guo, X; Harris, TB; Ikram, MA; Lange, L; Launer, LJ; Reiner, AP; Schwander, K; Smith, NL; Sotoodehnia, N; Stewart, JD; Stott, DJ; Stürmer, T; Taylor, KD; Uitterlinden, A; Vasan, RS; Wiggins, KL; Cupples, LA; Gudnason, V; Heckbert, SR; Jukema, JW; Liu, Y; Psaty, BM; Rao, DC; Rotter, JI; Stricker, B; Wilson, JG; Whitsel, EA
Source
The Pharmacogenomics Journal. 20(3)
Subject
Language
Abstract
Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p