Abstract

Background: Elevated blood pressure (BP) is a major public health challenge. Although the heritability of BP has been long established, current findings can explain only a small proportion of the BP variability attributed to genetic factors. Recent studies indicate that gene-environmental interactions may help to identify novel BP loci. Hence, the current study aimed to identify genetic variants influencing BP regulation by conducting genome-wide gene-sodium interaction analyses among 1,906 participants of the Genetic Epidemiology Network of Salt-Sensitivity (GenSalt) study. Methods: GenSalt recruited 1,906 Chinese participants from 633 families. At baseline, one 24-hour and two 8-hour urine specimens were collected to measure urinary sodium excretion. Nine BP measurements were taken using a random zero sphygmomanometer. A total of 868,158 autosomal single nucleotide polymorphisms (SNPs) were genotyped using Affymetrix Genomewide Human SNP array 6.0 (Affymetrix, Inc, Santa Clara, CA). Mixed effects models were used to test genome-wide SNP-sodium interactions on BP, adjusting for age, gender, and body mass index. Promising findings (interaction term P <1.00х10 -6 ) from GenSalt were further evaluated for replication among Chinese participants of the Multi-Ethnic Study of Atherosclerosis (MESA) with available data from the database of genotypes and phenotypes (dbGaP). SNP effects in GenSalt and MESA were meta-analyzed using inverse-variance weighted fixed effect models. Results: The meta-analyses identified 3 novel loci that significantly interacted with sodium to influence BP phenotypes. SNP-sodium interactions on systolic BP were identified for NEK2 variant rs10494938 at 1q32.3 (GenSalt P =2.19х10 -6 , MESA P =4.35х10 -4 , and Meta-analysis P = 3.93х10 -8 ). In addition, CASP4 variant rs1944900 at 11q22.3 interacted with sodium to influence both systolic BP (GenSalt P =1.24х10 -9 , MESA P =4.22х10 -2 , and Meta-analysis P = 1.14х10 -10 ) and mean arterial pressure (GenSalt P =1.68х10 -9 , MESA P =4.27х10 -2 , and Meta-analysis P = 1.91х10 -10 ). Furthermore, C9orf3 variant rs17679141 at 9q22.32 interacted with sodium to influence diastolic BP (GenSalt P =2.85х10 -8 , MESA P =4.55х10 -2 , and Meta-analysis P =4.61х10 -9 ). The 3 variants all physically mapped to the intronic regions of their corresponding genes. Conclusion: The current study identified 3 novel loci which may interact with dietary sodium intake to influence BP phenotypes.

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