Literature DB >> 23814039

Modularization and epistatic hierarchy determine homeostatic actions of multiple blood pressure quantitative trait loci.

Cristina Chauvet1, Kimberley Crespo, Annie Ménard, Julie Roy, Alan Y Deng.   

Abstract

Hypertension, the most frequently diagnosed clinical condition world-wide, predisposes individuals to morbidity and mortality, yet its underlying pathological etiologies are poorly understood. So far, a large number of quantitative trait loci (QTLs) have been identified in both humans and animal models, but how they function together in determining overall blood pressure (BP) in physiological settings is unknown. Here, we systematically and comprehensively performed pair-wise comparisons of individual QTLs to create a global picture of their functionality in an inbred rat model. Rather than each of numerous QTLs contributing to infinitesimal BP increments, a modularized pattern arises: two epistatic 'blocks' constitute basic functional 'units' for nearly all QTLs, designated as epistatic module 1 (EM1) and EM2. This modularization dictates the magnitude and scope of BP effects. Any EM1 member can contribute to BP additively to that of EM2, but not to those of the same module. Members of each EM display epistatic hierarchy, which seems to reflect a related functional pathway. Rat homologues of 11 human BP QTLs belong to either EM1 or EM2. Unique insights emerge into the novel genetic mechanism and hierarchy determining BP in the Dahl salt-sensitive SS/Jr (DSS) rat model that implicate a portion of human QTLs. Elucidating the pathways underlying EM1 and EM2 may reveal the genetic regulation of BP.

Entities:  

Mesh:

Year:  2013        PMID: 23814039     DOI: 10.1093/hmg/ddt294

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  11 in total

1.  Do epistatic modules exist in the genetic control of blood pressure in Dahl rats? A critical perspective.

Authors:  John P Rapp; Bina Joe
Journal:  Physiol Genomics       Date:  2013-11-05       Impact factor: 3.107

2.  Dr Lewis Kitchener Dahl, the Dahl rats, and the "inconvenient truth" about the genetics of hypertension.

Authors:  Bina Joe
Journal:  Hypertension       Date:  2015-02-02       Impact factor: 10.190

3.  PhenoMiner: a quantitative phenotype database for the laboratory rat, Rattus norvegicus. Application in hypertension and renal disease.

Authors:  Shur-Jen Wang; Stanley J F Laulederkind; G Thomas Hayman; Victoria Petri; Weisong Liu; Jennifer R Smith; Rajni Nigam; Melinda R Dwinell; Mary Shimoyama
Journal:  Database (Oxford)       Date:  2015-01-28       Impact factor: 3.451

4.  Will the real Dahl S rat please stand up?

Authors:  John P Rapp; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2019-09-23

Review 5.  A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions.

Authors:  Qian Wang; Jingwen Gan; Kun Wei; Scott A Berceli; Claudia Gragnoli; Rongling Wu
Journal:  Drug Discov Today       Date:  2019-01-25       Impact factor: 7.851

6.  Chrm3 Gene and M3 Muscarinic Receptors Contribute to Salt-Sensitive Hypertension.

Authors:  Allen W Cowley
Journal:  Hypertension       Date:  2018-09       Impact factor: 10.190

Review 7.  Towards Precision Medicine for Hypertension: A Review of Genomic, Epigenomic, and Microbiomic Effects on Blood Pressure in Experimental Rat Models and Humans.

Authors:  Sandosh Padmanabhan; Bina Joe
Journal:  Physiol Rev       Date:  2017-10-01       Impact factor: 37.312

8.  Contribution of independent and pleiotropic genetic effects in the metabolic syndrome in a hypertensive rat.

Authors:  Man Chun John Ma; Janette M Pettus; Jessica A Jakoubek; Matthew G Traxler; Karen C Clark; Amanda K Mennie; Anne E Kwitek
Journal:  PLoS One       Date:  2017-08-08       Impact factor: 3.240

9.  Alterations in Fibronectin Type III Domain Containing 1 Protein Gene Are Associated with Hypertension.

Authors:  Alan Y Deng; Cristina Chauvet; Annie Ménard
Journal:  PLoS One       Date:  2016-04-11       Impact factor: 3.240

10.  Isolation of a Genomic Region Affecting Most Components of Metabolic Syndrome in a Chromosome-16 Congenic Rat Model.

Authors:  Lucie Šedová; Michal Pravenec; Drahomíra Křenová; Ludmila Kazdová; Václav Zídek; Michaela Krupková; František Liška; Vladimír Křen; Ondřej Šeda
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

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