author_facet Leamy, Larry J.
Kelly, Scott A.
Hua, Kunjie
Pomp, Daniel
Leamy, Larry J.
Kelly, Scott A.
Hua, Kunjie
Pomp, Daniel
author Leamy, Larry J.
Kelly, Scott A.
Hua, Kunjie
Pomp, Daniel
spellingShingle Leamy, Larry J.
Kelly, Scott A.
Hua, Kunjie
Pomp, Daniel
Physiological Genomics
Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
Genetics
Physiology
author_sort leamy, larry j.
spelling Leamy, Larry J. Kelly, Scott A. Hua, Kunjie Pomp, Daniel 1094-8341 1531-2267 American Physiological Society Genetics Physiology http://dx.doi.org/10.1152/physiolgenomics.00115.2012 <jats:p>Driven by the recent obesity epidemic, interest in understanding the complex genetic and environmental basis of body weight and composition is great. We investigated this by searching for quantitative trait loci (QTLs) affecting a number of weight and adiposity traits in a G<jats:sub>10</jats:sub>advanced intercross population produced from crosses of mice in inbred strain C57BL/6J with those in a strain selected for high voluntary wheel running. The mice in this population were fed either a high-fat or a control diet throughout the study and also measured for four exercise traits prior to death, allowing us to test for pre- and postexercise QTLs as well as QTL-by-diet and QTL-by-exercise interactions. Our genome scan uncovered a number of QTLs, of which 40% replicated QTLs previously found for similar traits in an earlier (G<jats:sub>4</jats:sub>) generation. For those replicated QTLs, the confidence intervals were reduced from an average of 19 Mb in the G<jats:sub>4</jats:sub>to 8 Mb in the G<jats:sub>10</jats:sub>. Four QTLs on chromosomes 3, 8, 13, and 18 were especially prominent in affecting the percentage of fat in the mice. About of all QTLs showed interactions with diet, exercise, or both, their genotypic effects on the traits showing a variety of patterns depending on the diet or level of exercise. It was concluded that the indirect effects of these QTLs provide an underlying genetic basis for the considerable variability in weight or fat loss typically found among individuals on the same diet and/or exercise regimen.</jats:p> Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice Physiological Genomics
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title Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_unstemmed Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_full Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_fullStr Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_full_unstemmed Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_short Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_sort exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
topic Genetics
Physiology
url http://dx.doi.org/10.1152/physiolgenomics.00115.2012
publishDate 2012
physical 1141-1153
description <jats:p>Driven by the recent obesity epidemic, interest in understanding the complex genetic and environmental basis of body weight and composition is great. We investigated this by searching for quantitative trait loci (QTLs) affecting a number of weight and adiposity traits in a G<jats:sub>10</jats:sub>advanced intercross population produced from crosses of mice in inbred strain C57BL/6J with those in a strain selected for high voluntary wheel running. The mice in this population were fed either a high-fat or a control diet throughout the study and also measured for four exercise traits prior to death, allowing us to test for pre- and postexercise QTLs as well as QTL-by-diet and QTL-by-exercise interactions. Our genome scan uncovered a number of QTLs, of which 40% replicated QTLs previously found for similar traits in an earlier (G<jats:sub>4</jats:sub>) generation. For those replicated QTLs, the confidence intervals were reduced from an average of 19 Mb in the G<jats:sub>4</jats:sub>to 8 Mb in the G<jats:sub>10</jats:sub>. Four QTLs on chromosomes 3, 8, 13, and 18 were especially prominent in affecting the percentage of fat in the mice. About of all QTLs showed interactions with diet, exercise, or both, their genotypic effects on the traits showing a variety of patterns depending on the diet or level of exercise. It was concluded that the indirect effects of these QTLs provide an underlying genetic basis for the considerable variability in weight or fat loss typically found among individuals on the same diet and/or exercise regimen.</jats:p>
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author Leamy, Larry J., Kelly, Scott A., Hua, Kunjie, Pomp, Daniel
author_facet Leamy, Larry J., Kelly, Scott A., Hua, Kunjie, Pomp, Daniel, Leamy, Larry J., Kelly, Scott A., Hua, Kunjie, Pomp, Daniel
author_sort leamy, larry j.
container_issue 23
container_start_page 1141
container_title Physiological Genomics
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description <jats:p>Driven by the recent obesity epidemic, interest in understanding the complex genetic and environmental basis of body weight and composition is great. We investigated this by searching for quantitative trait loci (QTLs) affecting a number of weight and adiposity traits in a G<jats:sub>10</jats:sub>advanced intercross population produced from crosses of mice in inbred strain C57BL/6J with those in a strain selected for high voluntary wheel running. The mice in this population were fed either a high-fat or a control diet throughout the study and also measured for four exercise traits prior to death, allowing us to test for pre- and postexercise QTLs as well as QTL-by-diet and QTL-by-exercise interactions. Our genome scan uncovered a number of QTLs, of which 40% replicated QTLs previously found for similar traits in an earlier (G<jats:sub>4</jats:sub>) generation. For those replicated QTLs, the confidence intervals were reduced from an average of 19 Mb in the G<jats:sub>4</jats:sub>to 8 Mb in the G<jats:sub>10</jats:sub>. Four QTLs on chromosomes 3, 8, 13, and 18 were especially prominent in affecting the percentage of fat in the mice. About of all QTLs showed interactions with diet, exercise, or both, their genotypic effects on the traits showing a variety of patterns depending on the diet or level of exercise. It was concluded that the indirect effects of these QTLs provide an underlying genetic basis for the considerable variability in weight or fat loss typically found among individuals on the same diet and/or exercise regimen.</jats:p>
doi_str_mv 10.1152/physiolgenomics.00115.2012
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spelling Leamy, Larry J. Kelly, Scott A. Hua, Kunjie Pomp, Daniel 1094-8341 1531-2267 American Physiological Society Genetics Physiology http://dx.doi.org/10.1152/physiolgenomics.00115.2012 <jats:p>Driven by the recent obesity epidemic, interest in understanding the complex genetic and environmental basis of body weight and composition is great. We investigated this by searching for quantitative trait loci (QTLs) affecting a number of weight and adiposity traits in a G<jats:sub>10</jats:sub>advanced intercross population produced from crosses of mice in inbred strain C57BL/6J with those in a strain selected for high voluntary wheel running. The mice in this population were fed either a high-fat or a control diet throughout the study and also measured for four exercise traits prior to death, allowing us to test for pre- and postexercise QTLs as well as QTL-by-diet and QTL-by-exercise interactions. Our genome scan uncovered a number of QTLs, of which 40% replicated QTLs previously found for similar traits in an earlier (G<jats:sub>4</jats:sub>) generation. For those replicated QTLs, the confidence intervals were reduced from an average of 19 Mb in the G<jats:sub>4</jats:sub>to 8 Mb in the G<jats:sub>10</jats:sub>. Four QTLs on chromosomes 3, 8, 13, and 18 were especially prominent in affecting the percentage of fat in the mice. About of all QTLs showed interactions with diet, exercise, or both, their genotypic effects on the traits showing a variety of patterns depending on the diet or level of exercise. It was concluded that the indirect effects of these QTLs provide an underlying genetic basis for the considerable variability in weight or fat loss typically found among individuals on the same diet and/or exercise regimen.</jats:p> Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice Physiological Genomics
spellingShingle Leamy, Larry J., Kelly, Scott A., Hua, Kunjie, Pomp, Daniel, Physiological Genomics, Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice, Genetics, Physiology
title Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_full Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_fullStr Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_full_unstemmed Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_short Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_sort exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
title_unstemmed Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice
topic Genetics, Physiology
url http://dx.doi.org/10.1152/physiolgenomics.00115.2012