Variants on chromosome 6p22.3 associated with blood pressure in the hyperGEN study

Follow-Up of FBPP quantitative trait loci

Jeannette Simino, Gang Shi, Donna Arnett, Ulrich Broeckel, Steven Hunt, Dabeeru C. Rao

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Background A recent meta-analysis of genome-wide linkage scans of blood pressure (BP) in the large (N = 13,044) Family Blood Pressure Program (FBPP) identified five quantitative trait loci (QTLs) on chromosomes 6, 8, 20, and 21. We conducted follow-up fine mapping studies in 1,251 African (AA) and 1,254 European American (EA) participants of the Hypertension Genetic Epidemiology Network (HyperGEN). Methods Ethnic-specific linear mixed effects models were used to test associations of BP with genotyped and imputed single nucleotide polymorphisms (SNPs) contained in the logarithm of odds (LOD) score ≥2 interval under each of the QTL peaks. We used multipoint variance components models to perform linkage analysis conditional on each significant SNP in the QTL region to see if the SNP explained the QTL. Results Three intergenic SNPs (rs898164, rs2876587, rs6935795) on chromosome 6p22.3 were significantly associated with pulse pressure (using appropriate Bonferroni correction). Conditioning on the significant SNPs reduced the chromosome 6 QTL linkage evidence by 14-30%. Both AAs and EAs exhibited suggestive associations between BP and intronic SNPs on chromosomes 8q24.12 (genes OPG in AAs, SAMD12 in EAs), 20q13.12 (genes SLC13A3 in AAs, SLC12A5 in EAs), and 21q21.1 (genes C21orf34 in AAs, BC039377 in EAs). Conclusions Significant associations with common SNPs explained less than 1/3 of the QTL evidence. Our results cannot refute the hypothesis that rare variants account for most of the statistical evidence for the FBPP linkage peaks. Whole genome resequencing can identify the variants driving the linkage peaks and genome-wide association study (GWAS) hits thereby spurring investigations to deepen our understanding of hypertension pathophysiology.

Original languageEnglish
Pages (from-to)1227-1233
Number of pages7
JournalAmerican Journal of Hypertension
Volume24
Issue number11
DOIs
Publication statusPublished - Nov 2011
Externally publishedYes

Fingerprint

Quantitative Trait Loci
Single Nucleotide Polymorphism
Chromosomes
Blood Pressure
Chromosomes, Human, Pair 6
Genome
Genes
Hypertension
Chromosomes, Human, Pair 8
Molecular Epidemiology
Genome-Wide Association Study
Meta-Analysis

Keywords

  • blood pressure
  • fine mapping
  • genetics
  • GWAS
  • hypertension
  • SNP

ASJC Scopus subject areas

  • Internal Medicine

Cite this

Variants on chromosome 6p22.3 associated with blood pressure in the hyperGEN study : Follow-Up of FBPP quantitative trait loci. / Simino, Jeannette; Shi, Gang; Arnett, Donna; Broeckel, Ulrich; Hunt, Steven; Rao, Dabeeru C.

In: American Journal of Hypertension, Vol. 24, No. 11, 11.2011, p. 1227-1233.

Research output: Contribution to journalArticle

Simino, Jeannette ; Shi, Gang ; Arnett, Donna ; Broeckel, Ulrich ; Hunt, Steven ; Rao, Dabeeru C. / Variants on chromosome 6p22.3 associated with blood pressure in the hyperGEN study : Follow-Up of FBPP quantitative trait loci. In: American Journal of Hypertension. 2011 ; Vol. 24, No. 11. pp. 1227-1233.
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abstract = "Background A recent meta-analysis of genome-wide linkage scans of blood pressure (BP) in the large (N = 13,044) Family Blood Pressure Program (FBPP) identified five quantitative trait loci (QTLs) on chromosomes 6, 8, 20, and 21. We conducted follow-up fine mapping studies in 1,251 African (AA) and 1,254 European American (EA) participants of the Hypertension Genetic Epidemiology Network (HyperGEN). Methods Ethnic-specific linear mixed effects models were used to test associations of BP with genotyped and imputed single nucleotide polymorphisms (SNPs) contained in the logarithm of odds (LOD) score ≥2 interval under each of the QTL peaks. We used multipoint variance components models to perform linkage analysis conditional on each significant SNP in the QTL region to see if the SNP explained the QTL. Results Three intergenic SNPs (rs898164, rs2876587, rs6935795) on chromosome 6p22.3 were significantly associated with pulse pressure (using appropriate Bonferroni correction). Conditioning on the significant SNPs reduced the chromosome 6 QTL linkage evidence by 14-30{\%}. Both AAs and EAs exhibited suggestive associations between BP and intronic SNPs on chromosomes 8q24.12 (genes OPG in AAs, SAMD12 in EAs), 20q13.12 (genes SLC13A3 in AAs, SLC12A5 in EAs), and 21q21.1 (genes C21orf34 in AAs, BC039377 in EAs). Conclusions Significant associations with common SNPs explained less than 1/3 of the QTL evidence. Our results cannot refute the hypothesis that rare variants account for most of the statistical evidence for the FBPP linkage peaks. Whole genome resequencing can identify the variants driving the linkage peaks and genome-wide association study (GWAS) hits thereby spurring investigations to deepen our understanding of hypertension pathophysiology.",
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T1 - Variants on chromosome 6p22.3 associated with blood pressure in the hyperGEN study

T2 - Follow-Up of FBPP quantitative trait loci

AU - Simino, Jeannette

AU - Shi, Gang

AU - Arnett, Donna

AU - Broeckel, Ulrich

AU - Hunt, Steven

AU - Rao, Dabeeru C.

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N2 - Background A recent meta-analysis of genome-wide linkage scans of blood pressure (BP) in the large (N = 13,044) Family Blood Pressure Program (FBPP) identified five quantitative trait loci (QTLs) on chromosomes 6, 8, 20, and 21. We conducted follow-up fine mapping studies in 1,251 African (AA) and 1,254 European American (EA) participants of the Hypertension Genetic Epidemiology Network (HyperGEN). Methods Ethnic-specific linear mixed effects models were used to test associations of BP with genotyped and imputed single nucleotide polymorphisms (SNPs) contained in the logarithm of odds (LOD) score ≥2 interval under each of the QTL peaks. We used multipoint variance components models to perform linkage analysis conditional on each significant SNP in the QTL region to see if the SNP explained the QTL. Results Three intergenic SNPs (rs898164, rs2876587, rs6935795) on chromosome 6p22.3 were significantly associated with pulse pressure (using appropriate Bonferroni correction). Conditioning on the significant SNPs reduced the chromosome 6 QTL linkage evidence by 14-30%. Both AAs and EAs exhibited suggestive associations between BP and intronic SNPs on chromosomes 8q24.12 (genes OPG in AAs, SAMD12 in EAs), 20q13.12 (genes SLC13A3 in AAs, SLC12A5 in EAs), and 21q21.1 (genes C21orf34 in AAs, BC039377 in EAs). Conclusions Significant associations with common SNPs explained less than 1/3 of the QTL evidence. Our results cannot refute the hypothesis that rare variants account for most of the statistical evidence for the FBPP linkage peaks. Whole genome resequencing can identify the variants driving the linkage peaks and genome-wide association study (GWAS) hits thereby spurring investigations to deepen our understanding of hypertension pathophysiology.

AB - Background A recent meta-analysis of genome-wide linkage scans of blood pressure (BP) in the large (N = 13,044) Family Blood Pressure Program (FBPP) identified five quantitative trait loci (QTLs) on chromosomes 6, 8, 20, and 21. We conducted follow-up fine mapping studies in 1,251 African (AA) and 1,254 European American (EA) participants of the Hypertension Genetic Epidemiology Network (HyperGEN). Methods Ethnic-specific linear mixed effects models were used to test associations of BP with genotyped and imputed single nucleotide polymorphisms (SNPs) contained in the logarithm of odds (LOD) score ≥2 interval under each of the QTL peaks. We used multipoint variance components models to perform linkage analysis conditional on each significant SNP in the QTL region to see if the SNP explained the QTL. Results Three intergenic SNPs (rs898164, rs2876587, rs6935795) on chromosome 6p22.3 were significantly associated with pulse pressure (using appropriate Bonferroni correction). Conditioning on the significant SNPs reduced the chromosome 6 QTL linkage evidence by 14-30%. Both AAs and EAs exhibited suggestive associations between BP and intronic SNPs on chromosomes 8q24.12 (genes OPG in AAs, SAMD12 in EAs), 20q13.12 (genes SLC13A3 in AAs, SLC12A5 in EAs), and 21q21.1 (genes C21orf34 in AAs, BC039377 in EAs). Conclusions Significant associations with common SNPs explained less than 1/3 of the QTL evidence. Our results cannot refute the hypothesis that rare variants account for most of the statistical evidence for the FBPP linkage peaks. Whole genome resequencing can identify the variants driving the linkage peaks and genome-wide association study (GWAS) hits thereby spurring investigations to deepen our understanding of hypertension pathophysiology.

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