Literature DB >> 12105129

Genome scans for blood pressure and hypertension: the National Heart, Lung, and Blood Institute Family Heart Study.

Steven C Hunt1, R Curtis Ellison, Larry D Atwood, James S Pankow, Michael A Province, Mark F Leppert.   

Abstract

This study presents genome scans for hypertension and blood pressures from 2959 individuals in 500 white families from the National Heart, Lung, and Blood Institute Family Heart Study. Genome scans were performed with different methods of handling the 27% of individuals taking antihypertensive medications. Variance components LOD scores were estimated by assigning medicated hypertensive individuals (1) to have a blood pressure of 140/90; (2) to be missing; and (3) to have a randomly assigned systolic blood pressure between 140 and 160 (N[150,5] distribution) and diastolic blood pressure between 90 and 100 mm Hg (N[95,2.5] distribution). There were 5 regions with heterogeneity LOD scores > or =2.0 for hypertension (unadjusted for multiple models): 2.8 on chromosome 1 (192 cM), 2.6 on chromosome 7 (58 cM), 2.0 on chromosome 7 (127 cM), 2.4 on chromosome 12 (83 cM), and 2.4 on chromosome 15 (103 cM). Diastolic blood pressure had no LOD scores > or =2.0. Only chromosome 6 showed linkage for systolic blood pressure, with a LOD score of 3.3 at 88.7 cM from the initial randomization. Multiple randomizations of medicated subjects' systolic blood pressures yielded a mean LOD score of 2.8+/-0.4, whereas setting medicated systolic blood pressures to 140 mm Hg yielded a LOD score of 3.3. Excluding the medicated individuals or using their treated blood pressures reduced the LOD scores to 0.8 and 1.3, respectively, indicating the importance of including the extremes of quantitative trait distributions in linkage analyses. These results overlap other published scans, particularly regions on chromosomes 1 and 6, which have been implicated in familial combined hyperlipidemia.

Entities:  

Mesh:

Year:  2002        PMID: 12105129     DOI: 10.1161/01.hyp.0000022660.28915.b1

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  27 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

Review 2.  Quantitative trait linkage studies of diabetes-related traits.

Authors:  Robert L Hanson; William C Knowler
Journal:  Curr Diab Rep       Date:  2003-04       Impact factor: 4.810

3.  Epilepsy, ataxia, sensorineural deafness, tubulopathy, and KCNJ10 mutations.

Authors:  Detlef Bockenhauer; Sally Feather; Horia C Stanescu; Sascha Bandulik; Anselm A Zdebik; Markus Reichold; Jonathan Tobin; Evelyn Lieberer; Christina Sterner; Guida Landoure; Ruchi Arora; Tony Sirimanna; Dorothy Thompson; J Helen Cross; William van't Hoff; Omar Al Masri; Kjell Tullus; Stella Yeung; Yair Anikster; Enriko Klootwijk; Mike Hubank; Michael J Dillon; Dirk Heitzmann; Mauricio Arcos-Burgos; Mark A Knepper; Angus Dobbie; William A Gahl; Richard Warth; Eamonn Sheridan; Robert Kleta
Journal:  N Engl J Med       Date:  2009-05-07       Impact factor: 91.245

4.  Blood pressure and heart rate QTL in mice of the B6/D2 lineage: sex differences and environmental influences.

Authors:  David A Blizard; Arimantas Lionikas; David J Vandenbergh; Terrie Vasilopoulos; Glenn S Gerhard; James W Griffith; Laura C Klein; Joseph T Stout; Holly A Mack; Joan M Lakoski; Lars Larsson; Jeanne M Spicer; George P Vogler; Gerald E McClearn
Journal:  Physiol Genomics       Date:  2008-12-09       Impact factor: 3.107

5.  Association of ATP1B1, RGS5 and SELE polymorphisms with hypertension and blood pressure in African-Americans.

Authors:  Mezbah U Faruque; Guanjie Chen; Ayo Doumatey; Hanxia Huang; Jie Zhou; Georgia M Dunston; Charles N Rotimi; Adebowale A Adeyemo
Journal:  J Hypertens       Date:  2011-10       Impact factor: 4.844

6.  Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31.

Authors:  Heming Wang; Priyanka Nandakumar; Fasil Tekola-Ayele; Bamidele O Tayo; Erin B Ware; C Charles Gu; Yingchang Lu; Jie Yao; Wei Zhao; Jennifer A Smith; Jacklyn N Hellwege; Xiuqing Guo; Todd L Edwards; Ruth J F Loos; Donna K Arnett; Myriam Fornage; Charles Rotimi; Sharon L R Kardia; Richard S Cooper; D C Rao; Georg Ehret; Aravinda Chakravarti; Xiaofeng Zhu
Journal:  Eur J Hum Genet       Date:  2018-09-27       Impact factor: 4.246

7.  Imputing observed blood pressure for antihypertensive treatment: impact on population and genetic analyses.

Authors:  Brinda K Rana; Anish Dhamija; Matthew S Panizzon; Kelly M Spoon; Terrie Vasilopoulos; Carol E Franz; Michael D Grant; Kristen C Jacobson; Kathleen Kim; Michael J Lyons; Jeanne M McCaffery; Phyllis K Stein; Hong Xian; Daniel T O'Connor; William S Kremen
Journal:  Am J Hypertens       Date:  2014-02-14       Impact factor: 2.689

8.  Variants of the caveolin-1 gene: a translational investigation linking insulin resistance and hypertension.

Authors:  Luminita H Pojoga; Patricia C Underwood; Mark O Goodarzi; Jonathan S Williams; Gail K Adler; Xavier Jeunemaitre; Paul N Hopkins; Benjamin A Raby; Jessica Lasky-Su; Bei Sun; Jinrui Cui; Xiuqing Guo; Kent D Taylor; Yii-Der Ida Chen; Anny Xiang; Leslie J Raffel; Thomas A Buchanan; Jerome I Rotter; Gordon H Williams
Journal:  J Clin Endocrinol Metab       Date:  2011-05-25       Impact factor: 5.958

9.  Association of E-selectin gene polymorphism and serum PAPP-A with carotid atherosclerosis in end-stage renal disease.

Authors:  Marianne Samir M Issac; Alaa Afif; Nadida A Gohar; Nahla A Fawzy Fayek; Bahaa Zayed; Heba Sedrak; Lamiaa Adel Salah El Din
Journal:  Mol Diagn Ther       Date:  2014-04       Impact factor: 4.074

10.  Microsatellites and SNPs linkage analysis in a Sardinian genetic isolate confirms several essential hypertension loci previously identified in different populations.

Authors:  Evelina Mocci; Maria P Concas; Manuela Fanciulli; Nicola Pirastu; Mauro Adamo; Valentina Cabras; Cristina Fraumene; Ivana Persico; Alessandro Sassu; Andrea Picciau; Dionigio A Prodi; Donatella Serra; Ginevra Biino; Mario Pirastu; Andrea Angius
Journal:  BMC Med Genet       Date:  2009-08-28       Impact factor: 2.103

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.