Literature DB >> 18551125

Genetic architecture of adiposity and organ weight using combined generation QTL analysis.

Gloria L Fawcett1, Charles C Roseman, Joseph P Jarvis, Bing Wang, Jason B Wolf, James M Cheverud.   

Abstract

We present here a detailed study of the genetic contributions to adult body size and adiposity in the LG,SM advanced intercross line (AIL), an obesity model. This study represents a first step in fine-mapping obesity quantitative trait loci (QTLs) in an AIL. QTLs for adiposity in this model were previously isolated to chromosomes 1, 6, 7, 8, 9, 12, 13, and 18. This study focuses on heritable contributions and the genetic architecture of fatpad and organ weights. We analyzed both the F(2) and F(3) generations of the LG,SM AIL population single-nucleotide polymorphism (SNP) genotyped with a marker density of approximately 4 cM. We replicate 88% of the previously identified obesity QTLs and identify 13 new obesity QTLs. Nearly half of the single-trait QTLs were sex-specific. Several broad QTL regions were resolved into multiple, narrower peaks. The 113 single-trait QTLs for organs and body weight clustered into 27 pleiotropic loci. A large number of epistatic interactions are described which begin to elucidate potential interacting molecular networks. We present a relatively rapid means to obtain fine-mapping details from AILs using dense marker maps and consecutive generations. Analysis of the complex genetic architecture underlying fatpad and organ weights in this model may eventually help to elucidate not only heritable contributions to obesity but also common gene sets for obesity and its comorbidities.

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Year:  2008        PMID: 18551125     DOI: 10.1038/oby.2008.300

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  28 in total

1.  Diet-dependent genetic and genomic imprinting effects on obesity in mice.

Authors:  James M Cheverud; Heather A Lawson; Gloria L Fawcett; Bing Wang; L Susan Pletscher; Ashley R Fox; Taylor J Maxwell; Thomas H Ehrich; Jane P Kenney-Hunt; Jason B Wolf; Clay F Semenkovich
Journal:  Obesity (Silver Spring)       Date:  2010-06-10       Impact factor: 5.002

2.  Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice.

Authors:  Aldi T Kraja; Heather A Lawson; Donna K Arnett; Ingrid B Borecki; Ulrich Broeckel; Lisa de las Fuentes; Steven C Hunt; Michael A Province; James Cheverud; D C Rao
Journal:  Metabolism       Date:  2012-03-03       Impact factor: 8.694

Review 3.  Understanding the sexome: measuring and reporting sex differences in gene systems.

Authors:  Arthur P Arnold; Aldons J Lusis
Journal:  Endocrinology       Date:  2012-03-20       Impact factor: 4.736

Review 4.  Metabolic syndrome components in murine models.

Authors:  Heather A Lawson; James M Cheverud
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2010-03       Impact factor: 2.895

5.  Architecture of energy balance traits in emerging lines of the Collaborative Cross.

Authors:  Wendy Foulds Mathes; David L Aylor; Darla R Miller; Gary A Churchill; Elissa J Chesler; Fernando Pardo-Manuel de Villena; David W Threadgill; Daniel Pomp
Journal:  Am J Physiol Endocrinol Metab       Date:  2011-03-22       Impact factor: 4.310

6.  Fine-mapping quantitative trait loci affecting murine external ear tissue regeneration in the LG/J by SM/J advanced intercross line.

Authors:  J M Cheverud; H A Lawson; K Bouckaert; A V Kossenkov; L C Showe; L Cort; E P Blankenhorn; K Bedelbaeva; D Gourevitch; Y Zhang; E Heber-Katz
Journal:  Heredity (Edinb)       Date:  2014-02-26       Impact factor: 3.821

7.  Analyzing complex traits with congenic strains.

Authors:  Haifeng Shao; David S Sinasac; Lindsay C Burrage; Craig A Hodges; Pamela J Supelak; Mark R Palmert; Carol Moreno; Allen W Cowley; Howard J Jacob; Joseph H Nadeau
Journal:  Mamm Genome       Date:  2010-06-04       Impact factor: 2.957

Review 8.  Fine-mapping QTLs in advanced intercross lines and other outbred populations.

Authors:  Natalia M Gonzales; Abraham A Palmer
Journal:  Mamm Genome       Date:  2014-06-07       Impact factor: 2.957

9.  Multivariate Analysis of Genotype-Phenotype Association.

Authors:  Philipp Mitteroecker; James M Cheverud; Mihaela Pavlicev
Journal:  Genetics       Date:  2016-02-19       Impact factor: 4.562

10.  Powerful bivariate genome-wide association analyses suggest the SOX6 gene influencing both obesity and osteoporosis phenotypes in males.

Authors:  Yao-Zhong Liu; Yu-Fang Pei; Jian-Feng Liu; Fang Yang; Yan Guo; Lei Zhang; Xiao-Gang Liu; Han Yan; Liang Wang; Yin-Ping Zhang; Shawn Levy; Robert R Recker; Hong-Wen Deng
Journal:  PLoS One       Date:  2009-08-28       Impact factor: 3.240

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