4.7 Article

Integration of genetic and genomic methods for identification of genes and gene variants encoding QTLs in the nonhuman primate

Journal

METHODS
Volume 49, Issue 1, Pages 63-69

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2009.06.009

Keywords

Nonhuman primate (NHP); Quantitative trait loci (QTL); Cardiovascular disease (CVD); Functional polymorphism; Discordant sib-pairs; Gene array; Gene networks

Funding

  1. National Institutes of Health [P01 HL028972, P51 RR013986]
  2. National Center for Research Resources, National Institutes of Health [C06 RR013556, C06 RR015456]

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We have developed an integrated approach, using genetic and genomic methods, in conjunction with resources from the Southwest National Primate Research Center (SNPRC) baboon colony, for the identification of genes and their functional variants that encode quantitative trait loci (QTL). In addition, we use comparative genomic methods to overcome the paucity of baboon specific reagents and to augment translation of our findings in a nonhuman primate (NHP) to the human population. We are using the baboon as a model to study the genetics of cardiovascular disease (CVD). A key step for understanding gene-environment interactions in cardiovascular disease is the identification of genes and gene variants that influence CVD phenotypes. We have developed a sequential methodology that takes advantage of the SNPRC pedigreed baboon colony, the annotated human genome, and current genomic and bioinformatic tools. The process of functional polymorphism identification for genes encoding QTLs involves comparison of expression profiles for genes and predicted genes in the genomic region of the QTL for individuals discordant for the phenotypic trait mapping to the QTL. After comparison, genes of interest are prioritized, and functional polymorphisms are identified in candidate genes by genotyping and quantitative trait nucleotide analysis. This approach reduces the time and labor necessary to prioritize and identify genes and their polymorphisms influencing variation in a quantitative trait compared with traditional positional cloning methods. (C) 2009 Elsevier Inc. All rights reserved.

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