scholarly journals Genetic Effects of Blood Pressure Quantitative Trait Loci on Hypertension-Related Organ Damage: Evaluation Using Multiple Congenic Strains

2008 ◽  
Vol 31 (9) ◽  
pp. 1773-1779 ◽  
Author(s):  
Noriyoshi ISHIKAWA ◽  
Yuji HARADA ◽  
Riruke MARUYAMA ◽  
Junichi MASUDA ◽  
Toru NABIKA
Keyword(s):  
Blood Pressure ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Organ Damage ◽  
Genetic Effects ◽  
Damage Evaluation ◽  
Congenic Strains ◽  
Trait Loci

scholarly journals Refined mapping of blood pressure quantitative trait loci using congenic strains developed from two genetically hypertensive rat models

2011 ◽  
Vol 34 (12) ◽  
pp. 1263-1270 ◽  
Author(s):  
Sivarajan Kumarasamy ◽  
Kathirvel Gopalakrishnan ◽  
Edward J Toland ◽  
Shane Yerga-Woolwine ◽  
Phyllis Farms ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Rat Models ◽  
Congenic Strains ◽  
Hypertensive Rat ◽  
Trait Loci ◽  
Genetically Hypertensive

scholarly journals Two Linked Blood Pressure Quantitative Trait Loci on Chromosome 10 Defined by Dahl Rat Congenic Strains

Hypertension ◽  
2001 ◽  
Vol 38 (4) ◽  
pp. 779-785 ◽  
Author(s):  
Michael R. Garrett ◽  
Xiaotong Zhang ◽  
Oksana I. Dukhanina ◽  
Alan Y. Deng ◽  
John P. Rapp
Keyword(s):  
Blood Pressure ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome 10 ◽  
Congenic Strains ◽  
Trait Loci

Dissecting quantitative trait loci into opposite blood pressure effects on Dahl rat chromosome 8 by congenic strains

2004 ◽  
Vol 22 (8) ◽  
pp. 1495-1502 ◽  
Author(s):  
Anita Ariyarajah ◽  
Ana Palijan ◽  
Julie Dutil ◽  
Kalyani Prithiviraj ◽  
Yishu Deng ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome 8 ◽  
Pressure Effects ◽  
Congenic Strains ◽  
Trait Loci ◽  
Blood Pressure Effects

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

2013 ◽  
Vol 22 (22) ◽  
pp. 4451-4459 ◽  
Author(s):  
Cristina Chauvet ◽  
Kimberley Crespo ◽  
Annie Ménard ◽  
Julie Roy ◽  
Alan Y. Deng
Keyword(s):  
Blood Pressure ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Multiple Blood

Bayesian Model Choice and Search Strategies for Mapping Interacting Quantitative Trait Loci

Genetics ◽  
2003 ◽  
Vol 165 (2) ◽  
pp. 867-883 ◽  
Author(s):  
Nengjun Yi ◽  
Shizhong Xu ◽  
David B Allison
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Complex Traits ◽  
Bayesian Model ◽  
Genetic Model ◽  
Genetic Effects ◽  
Monte Carlo Algorithm ◽  
Data Set ◽  
Epistatic Effects ◽  
Trait Loci

AbstractMost complex traits of animals, plants, and humans are influenced by multiple genetic and environmental factors. Interactions among multiple genes play fundamental roles in the genetic control and evolution of complex traits. Statistical modeling of interaction effects in quantitative trait loci (QTL) analysis must accommodate a very large number of potential genetic effects, which presents a major challenge to determining the genetic model with respect to the number of QTL, their positions, and their genetic effects. In this study, we use the methodology of Bayesian model and variable selection to develop strategies for identifying multiple QTL with complex epistatic patterns in experimental designs with two segregating genotypes. Specifically, we develop a reversible jump Markov chain Monte Carlo algorithm to determine the number of QTL and to select main and epistatic effects. With the proposed method, we can jointly infer the genetic model of a complex trait and the associated genetic parameters, including the number, positions, and main and epistatic effects of the identified QTL. Our method can map a large number of QTL with any combination of main and epistatic effects. Utility and flexibility of the method are demonstrated using both simulated data and a real data set. Sensitivity of posterior inference to prior specifications of the number and genetic effects of QTL is investigated.

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