Literature DB >> 21293138

Genome-wide linkage screen for systolic blood pressure in the Veterans Administration Genetic Epidemiology Study (VAGES) of Mexican-Americans and confirmation of a major susceptibility locus on chromosome 6q14.1.

Sobha Puppala1, Dawn K Coletta, Jennifer Schneider, Shirley L Hu, Vidya S Farook, Thomas D Dyer, Rector Arya, John Blangero, Ravindranath Duggirala, Ralph A DeFronzo, Christopher P Jenkinson.   

Abstract

OBJECTIVE: Hypertension or high blood pressure is a strong correlate of diseases such as obesity and type 2 diabetes. We conducted a genome-wide linkage screen to identify susceptibility genes influencing systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Mexican-Americans from the Veterans Administration Genetic Epidemiology Study (VAGES).
METHODS: Using data from 1,089 individuals distributed across 266 families, we performed a multipoint linkage analysis to localize susceptibility loci for SBP and DBP by applying two models. In model 1, we added a sensible constant to the observed BP values in treated subjects [Tobin et al.; Stat Med 2005;24:2911-2935] to account for antihypertensive use (i.e. 15 and 10 mm Hg to SBP and DBP values, respectively). In model 2, we fixed values of 140 mm Hg for SBP and 90 mm Hg for DBP, if the treated values were less than the standard referenced treatment thresholds of 140/ 90 mm Hg for hypertensive status. However, if the observed treated BP values were found to be above these standard treatment thresholds, the actual observed treated BP values were retained in order not to reduce them by substitution of the treatment threshold values.
RESULTS: The multipoint linkage analysis revealed strong linkage signals for SBP compared with DBP. The strongest evidence for linkage of SBP (model 1, LOD = 5.0; model 2, LOD = 3.6) was found on chromosome 6q14.1 near the marker D6S1031 (89 cM) in both models. In addition, some evidence for SBP linkage occurred on chromosomes 1q, 4p, and 16p. Most importantly, our major SBP linkage finding on chromosome 6q near marker D6S1031 was independently confirmed in a Caucasian population (LOD = 3.3). In summary, our study found evidence for a major locus on chromosome 6q influencing SBP levels in Mexican-Americans.
Copyright © 2011 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2011        PMID: 21293138      PMCID: PMC3152483          DOI: 10.1159/000323143

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  54 in total

Review 1.  Genome-wide association studies of hypertension: have they been fruitful?

Authors:  Sajjad Rafiq; Sonia Anand; Robert Roberts
Journal:  J Cardiovasc Transl Res       Date:  2010-03-30       Impact factor: 4.132

2.  Genetic effects on blood pressure localized to chromosomes 6 and 7.

Authors:  Adebowale Adeyemo; Amy Luke; Xiaodong Wu; Richard S Cooper; Donghui Kan; Olayemi Omotade; Xiaofeng Zhu
Journal:  J Hypertens       Date:  2005-07       Impact factor: 4.844

3.  A chromosome 11q quantitative-trait locus influences change of blood-pressure measurements over time in Mexican Americans of the San Antonio Family Heart Study.

Authors:  Sue Rutherford; Guowen Cai; Juan C Lopez-Alvarenga; Jack W Kent; V Saroja Voruganti; J Michael Proffitt; Joanne E Curran; Mathew P Johnson; Thomas D Dyer; Jeremy B Jowett; Raul A Bastarrachea; Larry D Atwood; Harald H H Goring; Jean W Maccluer; Eric K Moses; John Blangero; Anthony G Comuzzie; Shelley A Cole
Journal:  Am J Hum Genet       Date:  2007-08-20       Impact factor: 11.025

4.  Markov chain Monte Carlo segregation and linkage analysis for oligogenic models.

Authors:  S C Heath
Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

5.  Global burden of hypertension: analysis of worldwide data.

Authors:  Patricia M Kearney; Megan Whelton; Kristi Reynolds; Paul Muntner; Paul K Whelton; Jiang He
Journal:  Lancet       Date:  2005 Jan 15-21       Impact factor: 79.321

6.  Blood pressure and human genetic variation in the general population.

Authors:  Pankaj Arora; Christopher Newton-Cheh
Journal:  Curr Opin Cardiol       Date:  2010-05       Impact factor: 2.161

Review 7.  Hypertension, kidney, and transgenics: a fresh perspective.

Authors:  Linda J Mullins; Matthew A Bailey; John J Mullins
Journal:  Physiol Rev       Date:  2006-04       Impact factor: 37.312

8.  A common variant at 9p21 is associated with sudden and arrhythmic cardiac death.

Authors:  Christopher Newton-Cheh; Nancy R Cook; Martin VanDenburgh; Eric B Rimm; Paul M Ridker; Christine M Albert
Journal:  Circulation       Date:  2009-11-09       Impact factor: 29.690

9.  Genome-wide scan identifies CDH13 as a novel susceptibility locus contributing to blood pressure determination in two European populations.

Authors:  Elin Org; Susana Eyheramendy; Peeter Juhanson; Christian Gieger; Peter Lichtner; Norman Klopp; Gudrun Veldre; Angela Döring; Margus Viigimaa; Siim Sõber; Kärt Tomberg; Gertrud Eckstein; Piret Kelgo; Tiina Rebane; Sue Shaw-Hawkins; Philip Howard; Abiodun Onipinla; Richard J Dobson; Stephen J Newhouse; Morris Brown; Anna Dominiczak; John Connell; Nilesh Samani; Martin Farrall; Mark J Caulfield; Patricia B Munroe; Thomas Illig; H-Erich Wichmann; Thomas Meitinger; Maris Laan
Journal:  Hum Mol Genet       Date:  2009-03-20       Impact factor: 6.150

View more
  8 in total

Review 1.  Between candidate genes and whole genomes: time for alternative approaches in blood pressure genetics.

Authors:  Jacob Basson; Jeannette Simino; D C Rao
Journal:  Curr Hypertens Rep       Date:  2012-02       Impact factor: 5.369

2.  Copy number variations in 6q14.1 and 5q13.2 are associated with alcohol dependence.

Authors:  Peng Lin; Sarah M Hartz; Jen-Chyong Wang; Arpana Agrawal; Tian-Xiao Zhang; Nicholas McKenna; Kathleen Bucholz; Andrew I Brooks; Jay A Tischfield; Howard J Edenberg; Victor M Hesselbrock; John R Kramer; Samuel Kuperman; Marc A Schuckit; Alison M Goate; Laura J Bierut; John P Rice
Journal:  Alcohol Clin Exp Res       Date:  2012-06-15       Impact factor: 3.455

Review 3.  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

4.  Evaluation of a bayesian model integration-based method for censored data.

Authors:  Liping Hou; Kai Wang; Christopher W Bartlett
Journal:  Hum Hered       Date:  2012-09-26       Impact factor: 0.444

5.  Looking to the future: incorporating genomic information into disparities research to reduce measurement error and selection bias.

Authors:  Alexandra E Shields; William H Crown
Journal:  Health Serv Res       Date:  2012-04-19       Impact factor: 3.402

6.  Heritability of blood pressure traits in diverse populations: a systematic review and meta-analysis.

Authors:  Goodarz Kolifarhood; Maryam Daneshpour; Farzad Hadaegh; Siamak Sabour; Hossein Mozafar Saadati; Ali Akbar Haghdoust; Mahdi Akbarzadeh; Bahareh Sedaghati-Khayat; Nasim Khosravi
Journal:  J Hum Hypertens       Date:  2019-09-24       Impact factor: 3.012

7.  Interactions of several lipid-related gene polymorphisms and cigarette smoking on blood pressure levels.

Authors:  Rui-Xing Yin; Dong-Feng Wu; Jin-Zhen Wu; Xiao-Li Cao; Lynn Htet Htet Aung; Lin Miao; Xing-Jiang Long; Wan-Ying Liu; Lin Zhang; Meng Li
Journal:  Int J Biol Sci       Date:  2012-05-10       Impact factor: 6.580

8.  Aggregate blood pressure responses to serial dietary sodium and potassium intervention: defining responses using independent component analysis.

Authors:  Gengsheng Chen; Lisa de las Fuentes; Chi C Gu; Jiang He; Dongfeng Gu; Tanika Kelly; James Hixson; Cashell Jacquish; D C Rao; Treva K Rice
Journal:  BMC Genet       Date:  2015-06-20       Impact factor: 2.797

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.