Genome-Wide Gene–Potassium Interaction Analyses on Blood Pressure

Author:

Li Changwei1,He Jiang1,Chen Jing1,Zhao Jinying1,Gu Dongfeng1,Hixson James E.1,Rao Dabeeru C.1,Jaquish Cashell E.1,Rice Treva K.1,Sung Yun Ju1,Kelly Tanika N.1

Affiliation:

1. From the Department of Epidemiology, Shool of Public Health and Tropical Medicine (C.L., J.H., J.C., T.N.K.), and Department of Medicine, School of Medicine (J.H., J.C.), Tulane University, New Orleans, LA; Department of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA (C.L.); State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College,...

Abstract

Background— Gene–environmental interaction analysis can identify novel genetic factors for blood pressure (BP). We performed genome-wide analyses to identify genomic loci that interact with potassium to influence BP using single-marker (1 and 2 df joint tests) and gene-based tests among Chinese participants of the GenSalt study (Genetic Epidemiology Network of Salt Sensitivity). Methods and Results— Among 1876 GenSalt participants, the average of 3 urine samples was used to estimate potassium excretion. Nine BP measurements were taken using a random-zero sphygmomanometer. A total of 2.2 million single nucleotide polymorphisms were imputed using Affymetrix 6.0 genotype data and the Chinese Han of Beijing and Japanese of Tokyo HapMap reference panel. Promising findings ( P <1.00×10 4 ) from GenSalt were evaluated for replication among 775 Chinese participants of the MESA (Multi-ethnic Study of Atherosclerosis). Single nucleotide polymorphism and gene-based results were meta-analyzed across the GenSalt and MESA studies to determine genome-wide significance. The 1 df tests identified interactions for ARL15 rs16882447 on systolic BP ( P =2.83×10 −9 ) and RANBP3L rs958929 on pulse pressure ( P =1.58×10 −8 ). The 2 df tests confirmed the ARL15 rs16882447 signal for systolic BP ( P =1.15×10 −9 ). Genome-wide gene-based analysis identified CC2D2A ( P =2.59×10 −7 ) at 4p15.32 and BNC2 ( P =4.49×10 10 ) at 9p22.2 for systolic BP, GGNBP1 ( P =1.18×10 8 ), and LINC00336 ( P =1.36×10 8 ) at 6p21 for diastolic BP, DAB1 ( P =1.05×10 13 ) at 1p32.2, and MIR4466 ( P =5.34×10 8 ) at 6q25.3 for pulse pressure. The BNC2 ( P =3.57×10 8 ) gene was also significant for mean arterial pressure. Conclusions— We identified 2 novel BP loci and 6 genes through the examination of single nucleotide polymorphism- and gene-based interactions with potassium.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Genetics (clinical),Cardiology and Cardiovascular Medicine,Genetics

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