Literature DB >> 11875187

Blood pressure QTLs identified by genome-wide linkage analysis and dependence on associated phenotypes.

Stephen B Harrap1, Zilla Y H Wong, Margaret Stebbing, Angela Lamantia, Melanie Bahlo.   

Abstract

Understanding genetic factors that contribute to population-wide variation in blood pressure is likely to benefit prevention and treatment of cardiovascular disease. The aim of the Victorian Family Heart Study is to identify genes for cardiovascular risk in 783 volunteer adult families recruited from the general population. In this preliminary study we sought to identify quantitative trait loci (QTLs) using a genome-wide linkage analysis in 274 adult sibling pairs of average age 24 yr selected without respect to blood pressure. We compared multipoint linkage results for carefully measured systolic (SBP) and diastolic (DBP) pressures before and after statistical adjustment for covariation with sex, oral contraception, age, height, and weight. The average BP was 123/67 (SD: 12/11) mmHg in males (n = 283) and 114/64 (SD: 10/9) mmHg in females (n = 265). Nonparametric Z-scores from multipoint GeneHunter II analysis were "suggestive" (3.1 or more) at four QTLs for SBP (chromosomes 1, 4, 16, and X) but at no QTLs for DBP. Most Z-scores were affected little by adjustment for covariates. However, the SBP QTL on chromosome 16 was obvious only for unadjusted pressures. This population-based quantitative trait analysis has identified more QTLs than any of the eight previous genome-wide scans for blood pressure. Considerable discrepancies between different studies may reflect the presence of false-positive results or real biological differences between populations.

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Year:  2002        PMID: 11875187     DOI: 10.1152/physiolgenomics.00069.2001

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  6 in total

1.  Genome-wide linkage analysis of population variation in high-density lipoprotein cholesterol.

Authors:  Stephen B Harrap; Zilla Y H Wong; Katrina J Scurrah; Angela Lamantia
Journal:  Hum Genet       Date:  2006-03-29       Impact factor: 4.132

Review 2.  Progress and future aspects in genetics of human hypertension.

Authors:  Qi Zhao; Tanika N Kelly; Changwei Li; Jiang He
Journal:  Curr Hypertens Rep       Date:  2013-12       Impact factor: 5.369

3.  Genetic effect on blood pressure is modulated by age: the Hypertension Genetic Epidemiology Network Study.

Authors:  Gang Shi; Chi C Gu; Aldi T Kraja; Donna K Arnett; Richard H Myers; James S Pankow; Steven C Hunt; Dabeeru C Rao
Journal:  Hypertension       Date:  2008-11-24       Impact factor: 10.190

4.  Genome-wide linkage analysis of blood pressure under locus heterogeneity.

Authors:  Xinqun Yang; Kai Wang; Jian Huang; Veronica J Vieland
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

5.  Measurement of absolute copy number variation reveals association with essential hypertension.

Authors:  Francine Z Marques; Priscilla R Prestes; Leonardo B Pinheiro; Katrina Scurrah; Kerry R Emslie; Maciej Tomaszewski; Stephen B Harrap; Fadi J Charchar
Journal:  BMC Med Genomics       Date:  2014-07-15       Impact factor: 3.063

6.  Rare variants in fox-1 homolog A (RBFOX1) are associated with lower blood pressure.

Authors:  Karen Y He; Heming Wang; Brian E Cade; Priyanka Nandakumar; Ayush Giri; Erin B Ware; Jeffrey Haessler; Jingjing Liang; Jennifer A Smith; Nora Franceschini; Thu H Le; Charles Kooperberg; Todd L Edwards; Sharon L R Kardia; Xihong Lin; Aravinda Chakravarti; Susan Redline; Xiaofeng Zhu
Journal:  PLoS Genet       Date:  2017-03-27       Impact factor: 5.917

  6 in total

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