Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling
Intrinsic cardiorespiratory fitness (CRF) is defined as the level of CRF in the sedentary state. There are large individual differences in intrinsic CRF among sedentary adults. The physiology of variability in CRF has received much attention, but little is known about the genetic and molecular mecha...
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description | Intrinsic cardiorespiratory fitness (CRF) is defined as the level of CRF in the sedentary state. There are large individual differences in intrinsic CRF among sedentary adults. The physiology of variability in CRF has received much attention, but little is known about the genetic and molecular mechanisms that impact intrinsic CRF. These issues were explored in the present study by interrogating intrinsic CRF-associated DNA sequence variation and skeletal muscle gene expression data from the HERITAGE Family Study through an integrative bioinformatics guided approach. A combined analytic strategy involving genetic association, pathway enrichment, tissue-specific network structure, cis-regulatory genome effects, and expression quantitative trait loci was used to select and rank genes through a variation-adjusted weighted ranking scheme. Prioritized genes were further interrogated for corroborative evidence from knockout mouse phenotypes and relevant physiological traits from the HERITAGE cohort. The mean intrinsic V̇o
was 33.1 ml O
·kg
·min
(SD = 8.8) for the sample of 493 sedentary adults. Suggestive evidence was found for gene loci related to cardiovascular physiology (
,
,
, and
), hematopoiesis (
,
,
, and
), skeletal muscle phenotypes (
,
,
, and
), and metabolism (
,
,
,
,
,
,
, and
). Supportive evidence for a role of several of these loci was uncovered via association between DNA variants and muscle gene expression levels with exercise cardiovascular and muscle physiological traits. This initial effort to define the underlying molecular substrates of intrinsic CRF warrants further studies based on appropriate cohorts and study designs, complemented by functional investigations.
Intrinsic cardiorespiratory fitness (CRF) is measured in the sedentary state and is highly variable among sedentary adults. The physiology of variability in intrinsic cardiorespiratory fitness has received much attention, but little is known about the genetic and molecular mechanisms that impact intrinsic CRF. These issues were explored computationally in the present study, with further corroborative evidence obtained from analysis of phenotype data from knockout mouse models and human cardiovascular and skeletal muscle measurements. |
doi_str_mv | 10.1152/japplphysiol.00035.2018 |
format | Article |
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was 33.1 ml O
·kg
·min
(SD = 8.8) for the sample of 493 sedentary adults. Suggestive evidence was found for gene loci related to cardiovascular physiology (
,
,
, and
), hematopoiesis (
,
,
, and
), skeletal muscle phenotypes (
,
,
, and
), and metabolism (
,
,
,
,
,
,
, and
). Supportive evidence for a role of several of these loci was uncovered via association between DNA variants and muscle gene expression levels with exercise cardiovascular and muscle physiological traits. This initial effort to define the underlying molecular substrates of intrinsic CRF warrants further studies based on appropriate cohorts and study designs, complemented by functional investigations.
Intrinsic cardiorespiratory fitness (CRF) is measured in the sedentary state and is highly variable among sedentary adults. The physiology of variability in intrinsic cardiorespiratory fitness has received much attention, but little is known about the genetic and molecular mechanisms that impact intrinsic CRF. These issues were explored computationally in the present study, with further corroborative evidence obtained from analysis of phenotype data from knockout mouse models and human cardiovascular and skeletal muscle measurements.</description><identifier>ISSN: 8750-7587</identifier><identifier>EISSN: 1522-1601</identifier><identifier>DOI: 10.1152/japplphysiol.00035.2018</identifier><identifier>PMID: 30605401</identifier><language>eng</language><publisher>United States: American Physiological Society</publisher><subject>Adolescent ; Adult ; Adults ; Animals ; Bioinformatics ; Cardiorespiratory fitness ; Cardiorespiratory Fitness - physiology ; Cardiovascular Physiological Phenomena - genetics ; Cohort Studies ; Deoxyribonucleic acid ; DNA ; Family studies ; Female ; Fitness ; Gene expression ; Gene Expression - genetics ; Gene Expression Profiling - methods ; Gene loci ; Gene mapping ; Genes ; Genomes ; Genomics - methods ; Hematopoiesis ; Humans ; Levels ; Male ; Metabolism ; Mice ; Mice, Knockout ; Molecular modelling ; Muscle, Skeletal - physiology ; Muscles ; Musculoskeletal system ; Nucleotide sequence ; Phenotypes ; Physical Fitness - physiology ; Physiology ; Polymorphism, Single Nucleotide - genetics ; Quantitative trait loci ; Sedentary Behavior ; Skeletal muscle ; Substrates ; Young Adult</subject><ispartof>Journal of applied physiology (1985), 2019-05, Vol.126 (5), p.1292-1314</ispartof><rights>Copyright American Physiological Society May 2019</rights><rights>Copyright © 2019 the American Physiological Society 2019 American Physiological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-c0afe2019e4a7333aec8236e7eef1429d32bea1d97bc2d152ebf47981216be9d3</citedby><cites>FETCH-LOGICAL-c445t-c0afe2019e4a7333aec8236e7eef1429d32bea1d97bc2d152ebf47981216be9d3</cites><orcidid>0000-0002-7601-165X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,778,782,883,3028,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30605401$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ghosh, Sujoy</creatorcontrib><creatorcontrib>Hota, Monalisa</creatorcontrib><creatorcontrib>Chai, Xiaoran</creatorcontrib><creatorcontrib>Kiranya, Jencee</creatorcontrib><creatorcontrib>Ghosh, Palash</creatorcontrib><creatorcontrib>He, Zihong</creatorcontrib><creatorcontrib>Ruiz-Ramie, Jonathan J</creatorcontrib><creatorcontrib>Sarzynski, Mark A</creatorcontrib><creatorcontrib>Bouchard, Claude</creatorcontrib><title>Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling</title><title>Journal of applied physiology (1985)</title><addtitle>J Appl Physiol (1985)</addtitle><description>Intrinsic cardiorespiratory fitness (CRF) is defined as the level of CRF in the sedentary state. There are large individual differences in intrinsic CRF among sedentary adults. The physiology of variability in CRF has received much attention, but little is known about the genetic and molecular mechanisms that impact intrinsic CRF. These issues were explored in the present study by interrogating intrinsic CRF-associated DNA sequence variation and skeletal muscle gene expression data from the HERITAGE Family Study through an integrative bioinformatics guided approach. A combined analytic strategy involving genetic association, pathway enrichment, tissue-specific network structure, cis-regulatory genome effects, and expression quantitative trait loci was used to select and rank genes through a variation-adjusted weighted ranking scheme. Prioritized genes were further interrogated for corroborative evidence from knockout mouse phenotypes and relevant physiological traits from the HERITAGE cohort. The mean intrinsic V̇o
was 33.1 ml O
·kg
·min
(SD = 8.8) for the sample of 493 sedentary adults. Suggestive evidence was found for gene loci related to cardiovascular physiology (
,
,
, and
), hematopoiesis (
,
,
, and
), skeletal muscle phenotypes (
,
,
, and
), and metabolism (
,
,
,
,
,
,
, and
). Supportive evidence for a role of several of these loci was uncovered via association between DNA variants and muscle gene expression levels with exercise cardiovascular and muscle physiological traits. This initial effort to define the underlying molecular substrates of intrinsic CRF warrants further studies based on appropriate cohorts and study designs, complemented by functional investigations.
Intrinsic cardiorespiratory fitness (CRF) is measured in the sedentary state and is highly variable among sedentary adults. The physiology of variability in intrinsic cardiorespiratory fitness has received much attention, but little is known about the genetic and molecular mechanisms that impact intrinsic CRF. These issues were explored computationally in the present study, with further corroborative evidence obtained from analysis of phenotype data from knockout mouse models and human cardiovascular and skeletal muscle measurements.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Animals</subject><subject>Bioinformatics</subject><subject>Cardiorespiratory fitness</subject><subject>Cardiorespiratory Fitness - physiology</subject><subject>Cardiovascular Physiological Phenomena - genetics</subject><subject>Cohort Studies</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Family studies</subject><subject>Female</subject><subject>Fitness</subject><subject>Gene expression</subject><subject>Gene Expression - genetics</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene loci</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genomes</subject><subject>Genomics - methods</subject><subject>Hematopoiesis</subject><subject>Humans</subject><subject>Levels</subject><subject>Male</subject><subject>Metabolism</subject><subject>Mice</subject><subject>Mice, Knockout</subject><subject>Molecular modelling</subject><subject>Muscle, Skeletal - physiology</subject><subject>Muscles</subject><subject>Musculoskeletal system</subject><subject>Nucleotide sequence</subject><subject>Phenotypes</subject><subject>Physical Fitness - physiology</subject><subject>Physiology</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Quantitative trait loci</subject><subject>Sedentary Behavior</subject><subject>Skeletal muscle</subject><subject>Substrates</subject><subject>Young Adult</subject><issn>8750-7587</issn><issn>1522-1601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdUstu1TAUtBCIXlp-ASyxYZNb23k42SChqjykSt3QteU4J7m-cuxgJ1fNx_CvnNBSFVaWNXPGM8dDyHvO9pyX4vKop8lNhzXZ4PaMsbzcC8brF2SHqMh4xfhLsqtlyTJZ1vKMvEnpyBgvipK_Jmc5q1hZML4jv67vJxei9QOdD0AX30F063ZtUToMKw09tX5GRrKGGh07GyKkyUY9h7jS3s4eUsLpGJbhsHFhQMyegGqvHVpMm8YAPoyocNLRaj8nBDs6Lsk42DCgcD-hLgbydIqhtw5NXJBXvXYJ3j6e5-Tuy_WPq2_Zze3X71efbzKDgebMMN0D5m-g0DLPcw2mFnkFEqDnhWi6XLSgedfI1ogONwRtX8im5oJXLSB8Tj496E5LO0JnAANrp6ZoRx1XFbRV_yLeHtQQTqoq66ZmDQp8fBSI4ecCaVajTQac0x7CkhQ-VHDcfyOQ-uE_6jEsETeFLJEzNC6rjSUfWCaGlCL0T2Y4U1sF1PMKqD8VUFsFcPLd8yxPc3__PP8NSGu39A</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Ghosh, Sujoy</creator><creator>Hota, Monalisa</creator><creator>Chai, Xiaoran</creator><creator>Kiranya, Jencee</creator><creator>Ghosh, Palash</creator><creator>He, Zihong</creator><creator>Ruiz-Ramie, Jonathan J</creator><creator>Sarzynski, Mark A</creator><creator>Bouchard, Claude</creator><general>American Physiological Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>7TS</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7601-165X</orcidid></search><sort><creationdate>20190501</creationdate><title>Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling</title><author>Ghosh, Sujoy ; Hota, Monalisa ; Chai, Xiaoran ; Kiranya, Jencee ; Ghosh, Palash ; He, Zihong ; Ruiz-Ramie, Jonathan J ; Sarzynski, Mark A ; Bouchard, Claude</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-c0afe2019e4a7333aec8236e7eef1429d32bea1d97bc2d152ebf47981216be9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Animals</topic><topic>Bioinformatics</topic><topic>Cardiorespiratory fitness</topic><topic>Cardiorespiratory Fitness - physiology</topic><topic>Cardiovascular Physiological Phenomena - genetics</topic><topic>Cohort Studies</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Family studies</topic><topic>Female</topic><topic>Fitness</topic><topic>Gene expression</topic><topic>Gene Expression - genetics</topic><topic>Gene Expression Profiling - methods</topic><topic>Gene loci</topic><topic>Gene mapping</topic><topic>Genes</topic><topic>Genomes</topic><topic>Genomics - methods</topic><topic>Hematopoiesis</topic><topic>Humans</topic><topic>Levels</topic><topic>Male</topic><topic>Metabolism</topic><topic>Mice</topic><topic>Mice, Knockout</topic><topic>Molecular modelling</topic><topic>Muscle, Skeletal - physiology</topic><topic>Muscles</topic><topic>Musculoskeletal system</topic><topic>Nucleotide sequence</topic><topic>Phenotypes</topic><topic>Physical Fitness - physiology</topic><topic>Physiology</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Quantitative trait loci</topic><topic>Sedentary Behavior</topic><topic>Skeletal muscle</topic><topic>Substrates</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghosh, Sujoy</creatorcontrib><creatorcontrib>Hota, Monalisa</creatorcontrib><creatorcontrib>Chai, Xiaoran</creatorcontrib><creatorcontrib>Kiranya, Jencee</creatorcontrib><creatorcontrib>Ghosh, Palash</creatorcontrib><creatorcontrib>He, Zihong</creatorcontrib><creatorcontrib>Ruiz-Ramie, Jonathan J</creatorcontrib><creatorcontrib>Sarzynski, Mark A</creatorcontrib><creatorcontrib>Bouchard, Claude</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of applied physiology (1985)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghosh, Sujoy</au><au>Hota, Monalisa</au><au>Chai, Xiaoran</au><au>Kiranya, Jencee</au><au>Ghosh, Palash</au><au>He, Zihong</au><au>Ruiz-Ramie, Jonathan J</au><au>Sarzynski, Mark A</au><au>Bouchard, Claude</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling</atitle><jtitle>Journal of applied physiology (1985)</jtitle><addtitle>J Appl Physiol (1985)</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>126</volume><issue>5</issue><spage>1292</spage><epage>1314</epage><pages>1292-1314</pages><issn>8750-7587</issn><eissn>1522-1601</eissn><abstract>Intrinsic cardiorespiratory fitness (CRF) is defined as the level of CRF in the sedentary state. There are large individual differences in intrinsic CRF among sedentary adults. The physiology of variability in CRF has received much attention, but little is known about the genetic and molecular mechanisms that impact intrinsic CRF. These issues were explored in the present study by interrogating intrinsic CRF-associated DNA sequence variation and skeletal muscle gene expression data from the HERITAGE Family Study through an integrative bioinformatics guided approach. A combined analytic strategy involving genetic association, pathway enrichment, tissue-specific network structure, cis-regulatory genome effects, and expression quantitative trait loci was used to select and rank genes through a variation-adjusted weighted ranking scheme. Prioritized genes were further interrogated for corroborative evidence from knockout mouse phenotypes and relevant physiological traits from the HERITAGE cohort. The mean intrinsic V̇o
was 33.1 ml O
·kg
·min
(SD = 8.8) for the sample of 493 sedentary adults. Suggestive evidence was found for gene loci related to cardiovascular physiology (
,
,
, and
), hematopoiesis (
,
,
, and
), skeletal muscle phenotypes (
,
,
, and
), and metabolism (
,
,
,
,
,
,
, and
). Supportive evidence for a role of several of these loci was uncovered via association between DNA variants and muscle gene expression levels with exercise cardiovascular and muscle physiological traits. This initial effort to define the underlying molecular substrates of intrinsic CRF warrants further studies based on appropriate cohorts and study designs, complemented by functional investigations.
Intrinsic cardiorespiratory fitness (CRF) is measured in the sedentary state and is highly variable among sedentary adults. The physiology of variability in intrinsic cardiorespiratory fitness has received much attention, but little is known about the genetic and molecular mechanisms that impact intrinsic CRF. These issues were explored computationally in the present study, with further corroborative evidence obtained from analysis of phenotype data from knockout mouse models and human cardiovascular and skeletal muscle measurements.</abstract><cop>United States</cop><pub>American Physiological Society</pub><pmid>30605401</pmid><doi>10.1152/japplphysiol.00035.2018</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-7601-165X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Adults Animals Bioinformatics Cardiorespiratory fitness Cardiorespiratory Fitness - physiology Cardiovascular Physiological Phenomena - genetics Cohort Studies Deoxyribonucleic acid DNA Family studies Female Fitness Gene expression Gene Expression - genetics Gene Expression Profiling - methods Gene loci Gene mapping Genes Genomes Genomics - methods Hematopoiesis Humans Levels Male Metabolism Mice Mice, Knockout Molecular modelling Muscle, Skeletal - physiology Muscles Musculoskeletal system Nucleotide sequence Phenotypes Physical Fitness - physiology Physiology Polymorphism, Single Nucleotide - genetics Quantitative trait loci Sedentary Behavior Skeletal muscle Substrates Young Adult |
title | Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling |
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