Targeting 160 Candidate Genes for Blood Pressure Regulation with a Genome-Wide Genotyping Array

Sõber, Siim; Org, Elin; Kepp, Katrin; Juhanson, Peeter; Eyheramendy, Susana; Gieger, Christian; Lichtner, Peter; Klopp, Norman; Veldre, Gudrun; Viigimaa, Margus; Döring, Angela; der Region Augsburg study, for the Kooperative Gesundheitsforschung in; Putku, Margus; Kelgo, Piret; Study, for the HYPertension in ESTonia; Shaw-Hawkins, Sue; Howard, Philip; Onipinla, Abiodun; Dobson, Richard J; Newhouse, Stephen J; Brown, Morris; Dominiczak, Anna; Connell, John; Samani, Nilesh; Farrall, Martin; Study, for the MRC British Genetics of Hypertension; Caulfield, Mark J; Munroe, Patricia B; Illig, Thomas; Wichmann, H-Erich; Meitinger, Thomas; Laan, Maris

Targeting 160 Candidate Genes for Blood Pressure Regulation with a Genome-Wide Genotyping Array

Siim Sõber, Elin Org, Katrin Kepp, Peeter Juhanson, Susana Eyheramendy, Christian Gieger, Peter Lichtner, Norman Klopp, Gudrun Veldre, Margus Viigimaa, Angela Döring, for the Kooperative Gesundheitsforschung in der Region Augsburg study, Margus Putku, Piret Kelgo, for the HYPertension in ESTonia Study, Sue Shaw-Hawkins, Philip Howard, Abiodun Onipinla, Richard J Dobson, Stephen J Newhouse, Morris Brown, Anna Dominiczak, John Connell, Nilesh Samani, Martin Farrall, for the MRC British Genetics of Hypertension Study, Mark J Caulfield, Patricia B Munroe, Thomas Illig, H-Erich Wichmann, Thomas Meitinger and Maris Laan

PLOS ONE, 2009, vol. 4, issue 6, 1-13

Abstract: The outcome of Genome-Wide Association Studies (GWAS) has challenged the field of blood pressure (BP) genetics as previous candidate genes have not been among the top loci in these scans. We used Affymetrix 500K genotyping data of KORA S3 cohort (n = 1,644; Southern-Germany) to address (i) SNP coverage in 160 BP candidate genes; (ii) the evidence for associations with BP traits in genome-wide and replication data, and haplotype analysis. In total, 160 gene regions (genic region±10 kb) covered 2,411 SNPs across 11.4 Mb. Marker densities in genes varied from 0 (n = 11) to 0.6 SNPs/kb. On average 52.5% of the HAPMAP SNPs per gene were captured. No evidence for association with BP was obtained for 1,449 tested SNPs. Considerable associations (P 50% of HAPMAP SNPs were tagged. In general, genes with higher marker density (>0.2 SNPs/kb) revealed a better chance to reach close to significance associations. Although, none of the detected P-values remained significant after Bonferroni correction (P

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0006034

DOI: 10.1371/journal.pone.0006034

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