Strain screen and haplotype association mapping of wheel running in inbred mouse strains
Previous genetic association studies of physical activity, in both animal and human models, have been limited in number of subjects and genetically homozygous strains used as well as number of genomic markers available for analysis. Expansion of the available mouse physical activity strain screens a...
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Veröffentlicht in: | Journal of applied physiology (1985) 2010-09, Vol.109 (3), p.623-634 |
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container_title | Journal of applied physiology (1985) |
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creator | LIGHTFOOT, J. Timothy LEAMY, Larry POMP, Daniel TURNER, Michael J FODOR, Anthony A KNAB, Amy BOWEN, Robert S FERGUSON, David MOORE-HARRISON, Trudy HAMILTON, Alicia |
description | Previous genetic association studies of physical activity, in both animal and human models, have been limited in number of subjects and genetically homozygous strains used as well as number of genomic markers available for analysis. Expansion of the available mouse physical activity strain screens and the recently published dense single-nucleotide polymorphism (SNP) map of the mouse genome (approximately 8.3 million SNPs) and associated statistical methods allowed us to construct a more generalizable map of the quantitative trait loci (QTL) associated with physical activity. Specifically, we measured wheel running activity in male and female mice (average age 9 wk) in 41 inbred strains and used activity data from 38 of these strains in a haplotype association mapping analysis to determine QTL associated with activity. As seen previously, there was a large range of activity patterns among the strains, with the highest and lowest strains differing significantly in daily distance run (27.4-fold), duration of activity (23.6-fold), and speed (2.9-fold). On a daily basis, female mice ran further (24%), longer (13%), and faster (11%). Twelve QTL were identified, with three (on Chr. 12, 18, and 19) in both male and female mice, five specific to males, and four specific to females. Eight of the 12 QTL, including the 3 general QTL found for both sexes, fell into intergenic areas. The results of this study further support the findings of a moderate to high heritability of physical activity and add general genomic areas applicable to a large number of mouse strains that can be further mined for candidate genes associated with regulation of physical activity. Additionally, results suggest that potential genetic mechanisms arising from traditional noncoding regions of the genome may be involved in regulation of physical activity. |
doi_str_mv | 10.1152/japplphysiol.00525.2010 |
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Timothy ; LEAMY, Larry ; POMP, Daniel ; TURNER, Michael J ; FODOR, Anthony A ; KNAB, Amy ; BOWEN, Robert S ; FERGUSON, David ; MOORE-HARRISON, Trudy ; HAMILTON, Alicia</creator><creatorcontrib>LIGHTFOOT, J. Timothy ; LEAMY, Larry ; POMP, Daniel ; TURNER, Michael J ; FODOR, Anthony A ; KNAB, Amy ; BOWEN, Robert S ; FERGUSON, David ; MOORE-HARRISON, Trudy ; HAMILTON, Alicia</creatorcontrib><description>Previous genetic association studies of physical activity, in both animal and human models, have been limited in number of subjects and genetically homozygous strains used as well as number of genomic markers available for analysis. Expansion of the available mouse physical activity strain screens and the recently published dense single-nucleotide polymorphism (SNP) map of the mouse genome (approximately 8.3 million SNPs) and associated statistical methods allowed us to construct a more generalizable map of the quantitative trait loci (QTL) associated with physical activity. Specifically, we measured wheel running activity in male and female mice (average age 9 wk) in 41 inbred strains and used activity data from 38 of these strains in a haplotype association mapping analysis to determine QTL associated with activity. As seen previously, there was a large range of activity patterns among the strains, with the highest and lowest strains differing significantly in daily distance run (27.4-fold), duration of activity (23.6-fold), and speed (2.9-fold). On a daily basis, female mice ran further (24%), longer (13%), and faster (11%). Twelve QTL were identified, with three (on Chr. 12, 18, and 19) in both male and female mice, five specific to males, and four specific to females. Eight of the 12 QTL, including the 3 general QTL found for both sexes, fell into intergenic areas. The results of this study further support the findings of a moderate to high heritability of physical activity and add general genomic areas applicable to a large number of mouse strains that can be further mined for candidate genes associated with regulation of physical activity. Additionally, results suggest that potential genetic mechanisms arising from traditional noncoding regions of the genome may be involved in regulation of physical activity.</description><identifier>ISSN: 8750-7587</identifier><identifier>ISSN: 1522-1601</identifier><identifier>EISSN: 1522-1601</identifier><identifier>DOI: 10.1152/japplphysiol.00525.2010</identifier><identifier>PMID: 20538847</identifier><identifier>CODEN: JAPHEV</identifier><language>eng</language><publisher>Bethesda, MD: American Physiological Society</publisher><subject>Animals ; Behavior, Animal ; Biological and medical sciences ; Chromosome Mapping ; Female ; Fundamental and applied biological sciences. Psychology ; Genes ; Genetic markers ; Genetic research ; Genomics ; Haplotypes ; Male ; Mice ; Mice, Inbred Strains ; Motor Activity - genetics ; Phenotype ; Physical Exertion ; Polymorphism ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; Rodents ; Running ; Sex Factors ; Time Factors</subject><ispartof>Journal of applied physiology (1985), 2010-09, Vol.109 (3), p.623-634</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Physiological Society Sep 2010</rights><rights>Copyright © 2010 the American Physiological Society 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c571t-1e3895fc23f3bf97c50138b5ee99fa58a125a560cbc1ae5fa0f8ba7b3d1be5b43</citedby><cites>FETCH-LOGICAL-c571t-1e3895fc23f3bf97c50138b5ee99fa58a125a560cbc1ae5fa0f8ba7b3d1be5b43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,3026,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23190075$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20538847$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>LIGHTFOOT, J. Timothy</creatorcontrib><creatorcontrib>LEAMY, Larry</creatorcontrib><creatorcontrib>POMP, Daniel</creatorcontrib><creatorcontrib>TURNER, Michael J</creatorcontrib><creatorcontrib>FODOR, Anthony A</creatorcontrib><creatorcontrib>KNAB, Amy</creatorcontrib><creatorcontrib>BOWEN, Robert S</creatorcontrib><creatorcontrib>FERGUSON, David</creatorcontrib><creatorcontrib>MOORE-HARRISON, Trudy</creatorcontrib><creatorcontrib>HAMILTON, Alicia</creatorcontrib><title>Strain screen and haplotype association mapping of wheel running in inbred mouse strains</title><title>Journal of applied physiology (1985)</title><addtitle>J Appl Physiol (1985)</addtitle><description>Previous genetic association studies of physical activity, in both animal and human models, have been limited in number of subjects and genetically homozygous strains used as well as number of genomic markers available for analysis. Expansion of the available mouse physical activity strain screens and the recently published dense single-nucleotide polymorphism (SNP) map of the mouse genome (approximately 8.3 million SNPs) and associated statistical methods allowed us to construct a more generalizable map of the quantitative trait loci (QTL) associated with physical activity. Specifically, we measured wheel running activity in male and female mice (average age 9 wk) in 41 inbred strains and used activity data from 38 of these strains in a haplotype association mapping analysis to determine QTL associated with activity. As seen previously, there was a large range of activity patterns among the strains, with the highest and lowest strains differing significantly in daily distance run (27.4-fold), duration of activity (23.6-fold), and speed (2.9-fold). On a daily basis, female mice ran further (24%), longer (13%), and faster (11%). Twelve QTL were identified, with three (on Chr. 12, 18, and 19) in both male and female mice, five specific to males, and four specific to females. Eight of the 12 QTL, including the 3 general QTL found for both sexes, fell into intergenic areas. The results of this study further support the findings of a moderate to high heritability of physical activity and add general genomic areas applicable to a large number of mouse strains that can be further mined for candidate genes associated with regulation of physical activity. Additionally, results suggest that potential genetic mechanisms arising from traditional noncoding regions of the genome may be involved in regulation of physical activity.</description><subject>Animals</subject><subject>Behavior, Animal</subject><subject>Biological and medical sciences</subject><subject>Chromosome Mapping</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genes</subject><subject>Genetic markers</subject><subject>Genetic research</subject><subject>Genomics</subject><subject>Haplotypes</subject><subject>Male</subject><subject>Mice</subject><subject>Mice, Inbred Strains</subject><subject>Motor Activity - genetics</subject><subject>Phenotype</subject><subject>Physical Exertion</subject><subject>Polymorphism</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quantitative Trait Loci</subject><subject>Rodents</subject><subject>Running</subject><subject>Sex Factors</subject><subject>Time Factors</subject><issn>8750-7587</issn><issn>1522-1601</issn><issn>1522-1601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUuLFDEUhYM4OO3oX9AgiKtq86hbqdoIMvgYGHChgruQSt9Mp6lKyqRK6X9veqadhxtXgdzvnJuTQ8hLztacg3i7M9M0TNt99nFYMwYC1oJx9oisylRUvGH8MVm1CliloFWn5GnOO8Z4XQN_Qk4FA9m2tVqRH1_nZHyg2SbEQE3Y0K2ZhjjvJ6Qm52i9mX0MdCwbfbii0dHfW8SBpiWEw0UR-9An3NAxLhlpvjbMz8iJM0PG58fzjHz_-OHb-efq8suni_P3l5UFxeeKo2w7cFZIJ3vXKQuMy7YHxK5zBlrDBRhomO0tNwjOMNf2RvVyw3uEvpZn5N2N77T0I24shrJ_0FPyo0l7HY3XDyfBb_VV_KVFV9dNDcXgzdEgxZ8L5lmPPlscBhOwBNKqEUJ1TSP_T0LNJGeqKeSrf8hdXFIo_1CgklCIhhdI3UA2xZwTuttHc6YPLev7LevrlvWh5aJ8cT_zre5vrQV4fQRMtmZwyQTr8x0neceYAvkHPqC2gw</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>LIGHTFOOT, J. 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Timothy ; LEAMY, Larry ; POMP, Daniel ; TURNER, Michael J ; FODOR, Anthony A ; KNAB, Amy ; BOWEN, Robert S ; FERGUSON, David ; MOORE-HARRISON, Trudy ; HAMILTON, Alicia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c571t-1e3895fc23f3bf97c50138b5ee99fa58a125a560cbc1ae5fa0f8ba7b3d1be5b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Animals</topic><topic>Behavior, Animal</topic><topic>Biological and medical sciences</topic><topic>Chromosome Mapping</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. 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Expansion of the available mouse physical activity strain screens and the recently published dense single-nucleotide polymorphism (SNP) map of the mouse genome (approximately 8.3 million SNPs) and associated statistical methods allowed us to construct a more generalizable map of the quantitative trait loci (QTL) associated with physical activity. Specifically, we measured wheel running activity in male and female mice (average age 9 wk) in 41 inbred strains and used activity data from 38 of these strains in a haplotype association mapping analysis to determine QTL associated with activity. As seen previously, there was a large range of activity patterns among the strains, with the highest and lowest strains differing significantly in daily distance run (27.4-fold), duration of activity (23.6-fold), and speed (2.9-fold). On a daily basis, female mice ran further (24%), longer (13%), and faster (11%). Twelve QTL were identified, with three (on Chr. 12, 18, and 19) in both male and female mice, five specific to males, and four specific to females. Eight of the 12 QTL, including the 3 general QTL found for both sexes, fell into intergenic areas. The results of this study further support the findings of a moderate to high heritability of physical activity and add general genomic areas applicable to a large number of mouse strains that can be further mined for candidate genes associated with regulation of physical activity. Additionally, results suggest that potential genetic mechanisms arising from traditional noncoding regions of the genome may be involved in regulation of physical activity.</abstract><cop>Bethesda, MD</cop><pub>American Physiological Society</pub><pmid>20538847</pmid><doi>10.1152/japplphysiol.00525.2010</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animals Behavior, Animal Biological and medical sciences Chromosome Mapping Female Fundamental and applied biological sciences. Psychology Genes Genetic markers Genetic research Genomics Haplotypes Male Mice Mice, Inbred Strains Motor Activity - genetics Phenotype Physical Exertion Polymorphism Polymorphism, Single Nucleotide Quantitative Trait Loci Rodents Running Sex Factors Time Factors |
title | Strain screen and haplotype association mapping of wheel running in inbred mouse strains |
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