DESCRIPTION:

QTL associated with growth traits 1. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (136185942)

LABEL:

QTL-Gwth1-Mouse-Chr 1

SCORE TYPE:

Binary

DATE ADDED:

2012-04-02

DATE UPDATED:

2020-05-06

SPECIES:

URI:

http://www.informatics.jax.org/searches/accession_report.cgi?id=MGI:3629098

AUTHORS:

Yi N, Zinniel DK, Kim K, Eisen EJ, Bartolucci A, Allison DB, Pomp D

TITLE:

Bayesian analyses of multiple epistatic QTL models for body weight and body composition in mice.

JOURNAL:

Genetical research Feb 2006, Vol 87, pp. 45-60

ABSTRACT:

To comprehensively investigate the genetic architecture of growth and obesity, we performed Bayesian analyses of multiple epistatic quantitative trait locus (QTL) models for body weights at five ages (12 days, 3, 6, 9 and 12 weeks) and body composition traits (weights of two fat pads and five organs) in mice produced from a cross of the F1 between M16i (selected for rapid growth rate) and CAST/Ei (wild-derived strain of small and lean mice) back to M16i. Bayesian model selection revealed a temporally regulated network of multiple QTL for body weight, involving both strong main effects and epistatic effects. No QTL had strong support for both early and late growth, although overlapping combinations of main and epistatic effects were observed at adjacent ages. Most main effects and epistatic interactions had an opposite effect on early and late growth. The contribution of epistasis was more pronounced for body weights at older ages. Body composition traits were also influenced by an interacting network of multiple QTLs. Several main and epistatic effects were shared by the body composition and body weight traits, suggesting that pleiotropy plays an important role in growth and obesity. PUBMED: 16545150
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