Literature DB >> 10981124

Context-dependent genetic effects in hypertension.

S L Kardia1.   

Abstract

There is a growing frustration with the limitations and inconsistencies of single locus candidate gene association and linkage studies. This frustration is exacerbated by the knowledge that a large influx of genotypic and gene expression data is expected to emerge over the next 5 years, and we are not prepared for the type of multigenic conceptual framework that will be necessary to analyze that data. A review of the hypertension genetic literature reveals substantial evidence for the importance of both genetic and environmental contexts on the mapping between single locus polymorphisms and risk of disease. These trends indicate that the current reliance on simple single gene studies to elucidate the complex etiology of hypertension needs to undergo some kind of transformation. It is suggested that even a minor shift to a more systematic investigation of context-dependent effects will increase our understanding of the multidimensional genetic and environmental realities underneath current studies. This shift is also necessary if we are to gain a deeper understanding of the specific ways in which an individual's risk of hypertension is a consequence of the inter- actions among genes and environments.

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Year:  2000        PMID: 10981124     DOI: 10.1007/s11906-000-0055-6

Source DB:  PubMed          Journal:  Curr Hypertens Rep        ISSN: 1522-6417            Impact factor:   5.369


  37 in total

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3.  Beta-2 adrenoceptor genetic variation is associated with genetic predisposition to essential hypertension: The Bergen Blood Pressure Study.

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4.  Evidence for involvement of the type 1 angiotensin II receptor locus in essential hypertension.

Authors:  K Kainulainen; M Perola; J Terwilliger; J Kaprio; M Koskenvuo; A C Syvänen; E Vartiainen; L Peltonen; K Kontula
Journal:  Hypertension       Date:  1999-03       Impact factor: 10.190

5.  The Lys198Asn polymorphism in the endothelin-1 gene is associated with blood pressure in overweight people.

Authors:  L Tiret; O Poirier; V Hallet; T A McDonagh; C Morrison; J J McMurray; H J Dargie; D Arveiler; J B Ruidavets; G Luc; A Evans; F Cambien
Journal:  Hypertension       Date:  1999-05       Impact factor: 10.190

Review 6.  Association between the angiotensinogen 235T-variant and essential hypertension in whites: a systematic review and methodological appraisal.

Authors:  R Kunz; R Kreutz; J Beige; A Distler; A M Sharma
Journal:  Hypertension       Date:  1997-12       Impact factor: 10.190

7.  Angiotensinogen M235T variant and salt sensitivity in young normotensive Caucasians.

Authors:  U Schorr; K Blaschke; J Beige; A Distler; A M Sharma
Journal:  J Hypertens       Date:  1999-04       Impact factor: 4.844

8.  Essential hypertension in African Caribbeans associates with a variant of the beta2-adrenoceptor.

Authors:  P Kotanko; A Binder; J Tasker; P DeFreitas; S Kamdar; A J Clark; F Skrabal; M Caulfield
Journal:  Hypertension       Date:  1997-10       Impact factor: 10.190

9.  Preliminary evidence of linkage of salt sensitivity in black Americans at the beta 2-adrenergic receptor locus.

Authors:  L P Svetkey; Y T Chen; S P McKeown; L Preis; A F Wilson
Journal:  Hypertension       Date:  1997-04       Impact factor: 10.190

10.  Correlates of family history of coronary artery disease in children.

Authors:  S L Kardia; M B Haviland; C F Sing
Journal:  J Clin Epidemiol       Date:  1998-06       Impact factor: 6.437

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  11 in total

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Authors:  Jason H Moore; Lance W Hahn; Marylyn D Ritchie; Tricia A Thornton; Bill C White
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Review 3.  Genetic variation and lipid metabolism: modulation by dietary factors.

Authors:  Jose M Ordovas; Dolores Corella
Journal:  Curr Cardiol Rep       Date:  2005-11       Impact factor: 2.931

4.  Application of Genetic Algorithms to the Discovery of Complex Models for Simulation Studies in Human Genetics.

Authors:  Jason H Moore; Lance W Hahn; Marylyn D Ritchie; Tricia A Thornton; Bill C White
Journal:  Proc Genet Evol Comput Conf       Date:  2002-07-01

5.  Identifying genetic interactions in genome-wide data using Bayesian networks.

Authors:  Xia Jiang; M Michael Barmada; Shyam Visweswaran
Journal:  Genet Epidemiol       Date:  2010-09       Impact factor: 2.135

6.  Genetic Programming Neural Networks: A Powerful Bioinformatics Tool for Human Genetics.

Authors:  Marylyn D Ritchie; Alison A Motsinger; William S Bush; Christopher S Coffey; Jason H Moore
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Review 7.  Opportunities and limitations of genetic analysis of hypertensive rat strains.

Authors:  Juan M Saavedra
Journal:  J Hypertens       Date:  2009-06       Impact factor: 4.844

8.  Lack of association between the G protein beta3 subunit gene and essential hypertension in Chinese: a case-control and a family-based study.

Authors:  Xiaohong Huang; Zhenyu Ju; Yan Song; Hongye Zhang; Kai Sun; Hongyan Lu; Zhiwei Yang; Pedro A Jose; Gang Zhou; Meng Wang; Weifeng Wang; Shixian Feng; Rutai Hui
Journal:  J Mol Med (Berl)       Date:  2003-09-16       Impact factor: 4.599

9.  Overweight, air and noise pollution: Universal risk factors for pediatric pre-hypertension.

Authors:  Roya Kelishadi; Parinaz Poursafa; Kasra Keramatian
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10.  GPNN: power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease.

Authors:  Alison A Motsinger; Stephen L Lee; George Mellick; Marylyn D Ritchie
Journal:  BMC Bioinformatics       Date:  2006-01-25       Impact factor: 3.169

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