Gene-environment interactions in obesity: implication for future applications in preventive medicine
Obesity is associated with environmental factors; however, information about gene-environment interactions is lacking. We aimed to elucidate the effects of gene-environment interactions on obesity, specifically between genetic predisposition and various obesity-related lifestyle factors, using data...
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| Veröffentlicht in: | Journal of human genetics 2016-04, Vol.61 (4), p.317-322 |
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| container_title | Journal of human genetics |
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| creator | Nakamura, Sho Narimatsu, Hiroto Sato, Hidenori Sho, Ri Otani, Katsumi Kawasaki, Ryo Karasawa, Shigeru Daimon, Makoto Yamashita, Hidetoshi Kubota, Isao Ueno, Yoshiyuki Kato, Takeo Yoshioka, Takashi Fukao, Akira Kayama, Takamasa |
| description | Obesity is associated with environmental factors; however, information about gene-environment interactions is lacking. We aimed to elucidate the effects of gene-environment interactions on obesity, specifically between genetic predisposition and various obesity-related lifestyle factors, using data from a population-based prospective cohort study. The genetic risk score (GRS) calculated from East Asian ancestry single-nucleotide polymorphisms was significantly associated with the body mass index (BMI) at baseline (P |
| doi_str_mv | 10.1038/jhg.2015.148 |
| format | Article |
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We aimed to elucidate the effects of gene-environment interactions on obesity, specifically between genetic predisposition and various obesity-related lifestyle factors, using data from a population-based prospective cohort study. The genetic risk score (GRS) calculated from East Asian ancestry single-nucleotide polymorphisms was significantly associated with the body mass index (BMI) at baseline (P<0.001). Significant gene-environment interactions were observed for six nutritional factors, alcohol intake, metabolic equivalents-hour per day and the homeostasis model assessment ratio. The GRS altered the effects of lifestyle factors on BMI. Increases in the BMI at baseline per unit intake for each nutritional factor differed depending on the GRS. However, we did not observe significant correlations between the GRS and annual changes in BMI during the follow-up period. This study suggests that the effects of lifestyle factors on obesity differ depending on the genetic risk factors. The approach used to evaluate gene-environment interaction in this study may be applicable to the practice of preventive medicine.</description><identifier>ISSN: 1434-5161</identifier><identifier>EISSN: 1435-232X</identifier><identifier>DOI: 10.1038/jhg.2015.148</identifier><identifier>PMID: 26657934</identifier><language>eng</language><publisher>England: Nature Publishing Group</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Body Mass Index ; Gene-Environment Interaction ; Genetic Predisposition to Disease ; Genotype ; Humans ; Middle Aged ; Obesity - genetics ; Obesity - pathology ; Polymorphism, Single Nucleotide ; Risk Factors</subject><ispartof>Journal of human genetics, 2016-04, Vol.61 (4), p.317-322</ispartof><rights>Copyright Nature Publishing Group Apr 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-aa989587a82a5d078d3fa023a900527fa2552c3def02ee6d3188fd7560ffa7063</citedby><cites>FETCH-LOGICAL-c441t-aa989587a82a5d078d3fa023a900527fa2552c3def02ee6d3188fd7560ffa7063</cites><orcidid>0000-0001-5623-4250 ; 0000-0002-5378-9477</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26657934$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nakamura, Sho</creatorcontrib><creatorcontrib>Narimatsu, Hiroto</creatorcontrib><creatorcontrib>Sato, Hidenori</creatorcontrib><creatorcontrib>Sho, Ri</creatorcontrib><creatorcontrib>Otani, Katsumi</creatorcontrib><creatorcontrib>Kawasaki, Ryo</creatorcontrib><creatorcontrib>Karasawa, Shigeru</creatorcontrib><creatorcontrib>Daimon, Makoto</creatorcontrib><creatorcontrib>Yamashita, Hidetoshi</creatorcontrib><creatorcontrib>Kubota, Isao</creatorcontrib><creatorcontrib>Ueno, Yoshiyuki</creatorcontrib><creatorcontrib>Kato, Takeo</creatorcontrib><creatorcontrib>Yoshioka, Takashi</creatorcontrib><creatorcontrib>Fukao, Akira</creatorcontrib><creatorcontrib>Kayama, Takamasa</creatorcontrib><title>Gene-environment interactions in obesity: implication for future applications in preventive medicine</title><title>Journal of human genetics</title><addtitle>J Hum Genet</addtitle><description>Obesity is associated with environmental factors; however, information about gene-environment interactions is lacking. We aimed to elucidate the effects of gene-environment interactions on obesity, specifically between genetic predisposition and various obesity-related lifestyle factors, using data from a population-based prospective cohort study. The genetic risk score (GRS) calculated from East Asian ancestry single-nucleotide polymorphisms was significantly associated with the body mass index (BMI) at baseline (P<0.001). Significant gene-environment interactions were observed for six nutritional factors, alcohol intake, metabolic equivalents-hour per day and the homeostasis model assessment ratio. The GRS altered the effects of lifestyle factors on BMI. Increases in the BMI at baseline per unit intake for each nutritional factor differed depending on the GRS. However, we did not observe significant correlations between the GRS and annual changes in BMI during the follow-up period. This study suggests that the effects of lifestyle factors on obesity differ depending on the genetic risk factors. The approach used to evaluate gene-environment interaction in this study may be applicable to the practice of preventive medicine.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Body Mass Index</subject><subject>Gene-Environment Interaction</subject><subject>Genetic Predisposition to Disease</subject><subject>Genotype</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>Obesity - genetics</subject><subject>Obesity - pathology</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Risk Factors</subject><issn>1434-5161</issn><issn>1435-232X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkTtLBDEURoMoPlY7axmwsXDWvJOxE_EFgo2CXYgzN5plJzMmMwv7783uqoWVVZKbwwf3OwgdEzwlmOmL2cf7lGIipoTrLbRPOBMlZfR1e33npSCS7KGDlGYYY0YV3UV7VEqhKsb3UXMHAUoICx-70EIYCh8GiLYefBdSfhTdGyQ_LC8L3_ZzX9vVR-G6WLhxGCMUtv8dr_k-wiLn-AUULTS-9gEO0Y6z8wRH3-cEvdzePF_fl49Pdw_XV49lzTkZSmsrXQmtrKZWNFjphjmLKbMVxoIqZ6kQtGYNOEwBZMOI1q5RQmLnrMKSTdDZJreP3ecIaTCtTzXM5zZANyZDVIUrqQgn_0A155JWucIJOv2DzroxhryIIRlSjEshMnW-oerYpRTBmT761salIdisRJksyqxEmSwq4yffoeNbrukX_jHDvgB9II7s</recordid><startdate>20160401</startdate><enddate>20160401</enddate><creator>Nakamura, Sho</creator><creator>Narimatsu, Hiroto</creator><creator>Sato, Hidenori</creator><creator>Sho, Ri</creator><creator>Otani, Katsumi</creator><creator>Kawasaki, Ryo</creator><creator>Karasawa, Shigeru</creator><creator>Daimon, Makoto</creator><creator>Yamashita, Hidetoshi</creator><creator>Kubota, Isao</creator><creator>Ueno, Yoshiyuki</creator><creator>Kato, Takeo</creator><creator>Yoshioka, Takashi</creator><creator>Fukao, Akira</creator><creator>Kayama, Takamasa</creator><general>Nature Publishing Group</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5623-4250</orcidid><orcidid>https://orcid.org/0000-0002-5378-9477</orcidid></search><sort><creationdate>20160401</creationdate><title>Gene-environment interactions in obesity: implication for future applications in preventive medicine</title><author>Nakamura, Sho ; 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| ispartof | Journal of human genetics, 2016-04, Vol.61 (4), p.317-322 |
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| language | eng |
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| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Adult Aged Aged, 80 and over Body Mass Index Gene-Environment Interaction Genetic Predisposition to Disease Genotype Humans Middle Aged Obesity - genetics Obesity - pathology Polymorphism, Single Nucleotide Risk Factors |
| title | Gene-environment interactions in obesity: implication for future applications in preventive medicine |
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