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QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects

Obesity is a heritable trait caused by complex interactions between genes and environment, including diet. Gene-by-diet interactions are difficult to study in humans because the human diet is hard to control. Here, we used mice to study dietary obesity genes, by four methods. First, we bred 213 F(2)...

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Autores principales: Lin, Cailu, Theodorides, Maria L., McDaniel, Amanda H., Tordoff, Michael G., Zhang, Qinmin, Li, Xia, Bosak, Natalia, Bachmanov, Alexander A., Reed, Danielle R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726688/
https://www.ncbi.nlm.nih.gov/pubmed/23922663
http://dx.doi.org/10.1371/journal.pone.0068776
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author Lin, Cailu
Theodorides, Maria L.
McDaniel, Amanda H.
Tordoff, Michael G.
Zhang, Qinmin
Li, Xia
Bosak, Natalia
Bachmanov, Alexander A.
Reed, Danielle R.
author_facet Lin, Cailu
Theodorides, Maria L.
McDaniel, Amanda H.
Tordoff, Michael G.
Zhang, Qinmin
Li, Xia
Bosak, Natalia
Bachmanov, Alexander A.
Reed, Danielle R.
author_sort Lin, Cailu
collection PubMed
description Obesity is a heritable trait caused by complex interactions between genes and environment, including diet. Gene-by-diet interactions are difficult to study in humans because the human diet is hard to control. Here, we used mice to study dietary obesity genes, by four methods. First, we bred 213 F(2) mice from strains that are susceptible [C57BL/6ByJ (B6)] or resistant [129P3/J (129)] to dietary obesity. Percent body fat was assessed after mice ate low-energy diet and again after the same mice ate high-energy diet for 8 weeks. Linkage analyses identified QTLs associated with dietary obesity. Three methods were used to filter candidate genes within the QTL regions: (a) association mapping was conducted using >40 strains; (b) differential gene expression and (c) comparison of genomic DNA sequence, using two strains closely related to the progenitor strains from Experiment 1. The QTL effects depended on whether the mice were male or female or which diet they were recently fed. After feeding a low-energy diet, percent body fat was linked to chr 7 (LOD = 3.42). After feeding a high-energy diet, percent body fat was linked to chr 9 (Obq5; LOD = 3.88), chr 12 (Obq34; LOD = 3.88), and chr 17 (LOD = 4.56). The Chr 7 and 12 QTLs were sex dependent and all QTL were diet-dependent. The combination of filtering methods highlighted seven candidate genes within the QTL locus boundaries: Crx, Dmpk, Ahr, Mrpl28, Glo1, Tubb5, and Mut. However, these filtering methods have limitations so gene identification will require alternative strategies, such as the construction of congenics with very small donor regions.
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spelling pubmed-37266882013-08-06 QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects Lin, Cailu Theodorides, Maria L. McDaniel, Amanda H. Tordoff, Michael G. Zhang, Qinmin Li, Xia Bosak, Natalia Bachmanov, Alexander A. Reed, Danielle R. PLoS One Research Article Obesity is a heritable trait caused by complex interactions between genes and environment, including diet. Gene-by-diet interactions are difficult to study in humans because the human diet is hard to control. Here, we used mice to study dietary obesity genes, by four methods. First, we bred 213 F(2) mice from strains that are susceptible [C57BL/6ByJ (B6)] or resistant [129P3/J (129)] to dietary obesity. Percent body fat was assessed after mice ate low-energy diet and again after the same mice ate high-energy diet for 8 weeks. Linkage analyses identified QTLs associated with dietary obesity. Three methods were used to filter candidate genes within the QTL regions: (a) association mapping was conducted using >40 strains; (b) differential gene expression and (c) comparison of genomic DNA sequence, using two strains closely related to the progenitor strains from Experiment 1. The QTL effects depended on whether the mice were male or female or which diet they were recently fed. After feeding a low-energy diet, percent body fat was linked to chr 7 (LOD = 3.42). After feeding a high-energy diet, percent body fat was linked to chr 9 (Obq5; LOD = 3.88), chr 12 (Obq34; LOD = 3.88), and chr 17 (LOD = 4.56). The Chr 7 and 12 QTLs were sex dependent and all QTL were diet-dependent. The combination of filtering methods highlighted seven candidate genes within the QTL locus boundaries: Crx, Dmpk, Ahr, Mrpl28, Glo1, Tubb5, and Mut. However, these filtering methods have limitations so gene identification will require alternative strategies, such as the construction of congenics with very small donor regions. Public Library of Science 2013-07-29 /pmc/articles/PMC3726688/ /pubmed/23922663 http://dx.doi.org/10.1371/journal.pone.0068776 Text en © 2013 Lin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lin, Cailu
Theodorides, Maria L.
McDaniel, Amanda H.
Tordoff, Michael G.
Zhang, Qinmin
Li, Xia
Bosak, Natalia
Bachmanov, Alexander A.
Reed, Danielle R.
QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects
title QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects
title_full QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects
title_fullStr QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects
title_full_unstemmed QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects
title_short QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F(2) Mice: Diet- and Sex-Dependent Effects
title_sort qtl analysis of dietary obesity in c57bl/6byj x 129p3/j f(2) mice: diet- and sex-dependent effects
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726688/
https://www.ncbi.nlm.nih.gov/pubmed/23922663
http://dx.doi.org/10.1371/journal.pone.0068776
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