Genome-wide DNA methylation analysis of body composition in Chinese monozygotic twins
Little is currently known about epigenetic alterations associated with body composition in obesity. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and three common traits of body composition as measured by body fat percentage (BF%), fat mass (FM) and le...
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| Veröffentlicht in: | European journal of clinical investigation 2023-11, Vol.53 (11), p.e14055-e14055 |
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| container_title | European journal of clinical investigation |
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| creator | Tian, Huimin Qiao, Haofei Han, Fulei Kong, Xiangjie Zhu, Shuai Xing, Fangjie Duan, Haiping Li, Weilong Wang, Weijing Zhang, Dongfeng Wu, Yili |
| description | Little is currently known about epigenetic alterations associated with body composition in obesity. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and three common traits of body composition as measured by body fat percentage (BF%), fat mass (FM) and lean body mass (LBM) among Chinese monozygotic twins.
Generalized estimated equation model was used to regress the methylation level of CpG sites on body composition. Inference about Causation Through Examination Of Familial Confounding was used to explore the evidence of a causal relationship. Gene expression analysis was further performed to validate the results of differentially methylated genes.
We identified 32, 22 and 28 differentially methylated CpG sites (p |
| doi_str_mv | 10.1111/eci.14055 |
| format | Article |
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Generalized estimated equation model was used to regress the methylation level of CpG sites on body composition. Inference about Causation Through Examination Of Familial Confounding was used to explore the evidence of a causal relationship. Gene expression analysis was further performed to validate the results of differentially methylated genes.
We identified 32, 22 and 28 differentially methylated CpG sites (p < 10
) as well as 20, 17 and eight differentially methylated regions (slk-corrected p < 0.05) significantly associated with BF%, FM and LBM which were annotated to 65 genes, showing partially overlapping. Causal inference demonstrated bidirectional causality between DNA methylation and body composition (p < 0.05). Gene expression analysis revealed significant correlations between expression levels of five differentially methylated genes and body composition (p < 0.05).
These DNA methylation signatures will contribute to increased knowledge about the epigenetic basis of body composition and provide new strategies for early prevention and treatment of obesity and its related diseases.</description><identifier>ISSN: 0014-2972</identifier><identifier>EISSN: 1365-2362</identifier><identifier>DOI: 10.1111/eci.14055</identifier><identifier>PMID: 37392072</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Body composition ; Body fat ; Body mass ; CpG islands ; Deoxyribonucleic acid ; DNA ; DNA methylation ; Epigenetics ; Gene expression ; Genes ; Genomes ; Inference ; Lean body mass ; Obesity ; Twin studies ; Twins</subject><ispartof>European journal of clinical investigation, 2023-11, Vol.53 (11), p.e14055-e14055</ispartof><rights>2023 Stichting European Society for Clinical Investigation Journal Foundation. Published by John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c313t-bfdf08175bc69fe75c34d12fb7a9984f62269152595a8fdcce63c576c27c4d603</citedby><cites>FETCH-LOGICAL-c313t-bfdf08175bc69fe75c34d12fb7a9984f62269152595a8fdcce63c576c27c4d603</cites><orcidid>0000-0002-5289-2552</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37392072$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tian, Huimin</creatorcontrib><creatorcontrib>Qiao, Haofei</creatorcontrib><creatorcontrib>Han, Fulei</creatorcontrib><creatorcontrib>Kong, Xiangjie</creatorcontrib><creatorcontrib>Zhu, Shuai</creatorcontrib><creatorcontrib>Xing, Fangjie</creatorcontrib><creatorcontrib>Duan, Haiping</creatorcontrib><creatorcontrib>Li, Weilong</creatorcontrib><creatorcontrib>Wang, Weijing</creatorcontrib><creatorcontrib>Zhang, Dongfeng</creatorcontrib><creatorcontrib>Wu, Yili</creatorcontrib><title>Genome-wide DNA methylation analysis of body composition in Chinese monozygotic twins</title><title>European journal of clinical investigation</title><addtitle>Eur J Clin Invest</addtitle><description>Little is currently known about epigenetic alterations associated with body composition in obesity. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and three common traits of body composition as measured by body fat percentage (BF%), fat mass (FM) and lean body mass (LBM) among Chinese monozygotic twins.
Generalized estimated equation model was used to regress the methylation level of CpG sites on body composition. Inference about Causation Through Examination Of Familial Confounding was used to explore the evidence of a causal relationship. Gene expression analysis was further performed to validate the results of differentially methylated genes.
We identified 32, 22 and 28 differentially methylated CpG sites (p < 10
) as well as 20, 17 and eight differentially methylated regions (slk-corrected p < 0.05) significantly associated with BF%, FM and LBM which were annotated to 65 genes, showing partially overlapping. Causal inference demonstrated bidirectional causality between DNA methylation and body composition (p < 0.05). Gene expression analysis revealed significant correlations between expression levels of five differentially methylated genes and body composition (p < 0.05).
These DNA methylation signatures will contribute to increased knowledge about the epigenetic basis of body composition and provide new strategies for early prevention and treatment of obesity and its related diseases.</description><subject>Body composition</subject><subject>Body fat</subject><subject>Body mass</subject><subject>CpG islands</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>Epigenetics</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Genomes</subject><subject>Inference</subject><subject>Lean body mass</subject><subject>Obesity</subject><subject>Twin studies</subject><subject>Twins</subject><issn>0014-2972</issn><issn>1365-2362</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpdkD1PwzAURS0EoqUw8AeQJRYYUvztZqwKFKQKFjpHjmNTV4ld4kRV-PWkHzDwlju8o6v3DgDXGI1xPw9GuzFmiPMTMMRU8IRQQU7BECHMEpJKMgAXMa4RQhNMyTkYUElTgiQZguXc-FCZZOsKAx_fprAyzaorVeOCh8qrsosuwmBhHooO6lBtQnT7pfNwtnLeRAOr4MN39xkap2GzdT5egjOrymiujjkCy-enj9lLsnifv86mi0RTTJskt4XtT5I81yK1RnJNWYGJzaVK0wmzghCRYk54ytXEFlobQTWXQhOpWSEQHYG7Q--mDl-tiU1WuahNWSpvQhszMqGk5xlmPXr7D12Htu4f3FFSEkYY2hXeHyhdhxhrY7NN7SpVdxlG2c511rvO9q579ubY2OaVKf7IX7n0B9uqeR4</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Tian, Huimin</creator><creator>Qiao, Haofei</creator><creator>Han, Fulei</creator><creator>Kong, Xiangjie</creator><creator>Zhu, Shuai</creator><creator>Xing, Fangjie</creator><creator>Duan, Haiping</creator><creator>Li, Weilong</creator><creator>Wang, Weijing</creator><creator>Zhang, Dongfeng</creator><creator>Wu, Yili</creator><general>Blackwell Publishing Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5289-2552</orcidid></search><sort><creationdate>20231101</creationdate><title>Genome-wide DNA methylation analysis of body composition in Chinese monozygotic twins</title><author>Tian, Huimin ; Qiao, Haofei ; Han, Fulei ; Kong, Xiangjie ; Zhu, Shuai ; Xing, Fangjie ; Duan, Haiping ; Li, Weilong ; Wang, Weijing ; Zhang, Dongfeng ; Wu, Yili</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-bfdf08175bc69fe75c34d12fb7a9984f62269152595a8fdcce63c576c27c4d603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Body composition</topic><topic>Body fat</topic><topic>Body mass</topic><topic>CpG islands</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA methylation</topic><topic>Epigenetics</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Genomes</topic><topic>Inference</topic><topic>Lean body mass</topic><topic>Obesity</topic><topic>Twin studies</topic><topic>Twins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tian, Huimin</creatorcontrib><creatorcontrib>Qiao, Haofei</creatorcontrib><creatorcontrib>Han, Fulei</creatorcontrib><creatorcontrib>Kong, Xiangjie</creatorcontrib><creatorcontrib>Zhu, Shuai</creatorcontrib><creatorcontrib>Xing, Fangjie</creatorcontrib><creatorcontrib>Duan, Haiping</creatorcontrib><creatorcontrib>Li, Weilong</creatorcontrib><creatorcontrib>Wang, Weijing</creatorcontrib><creatorcontrib>Zhang, Dongfeng</creatorcontrib><creatorcontrib>Wu, Yili</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical investigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tian, Huimin</au><au>Qiao, Haofei</au><au>Han, Fulei</au><au>Kong, Xiangjie</au><au>Zhu, Shuai</au><au>Xing, Fangjie</au><au>Duan, Haiping</au><au>Li, Weilong</au><au>Wang, Weijing</au><au>Zhang, Dongfeng</au><au>Wu, Yili</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome-wide DNA methylation analysis of body composition in Chinese monozygotic twins</atitle><jtitle>European journal of clinical investigation</jtitle><addtitle>Eur J Clin Invest</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>53</volume><issue>11</issue><spage>e14055</spage><epage>e14055</epage><pages>e14055-e14055</pages><issn>0014-2972</issn><eissn>1365-2362</eissn><abstract>Little is currently known about epigenetic alterations associated with body composition in obesity. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and three common traits of body composition as measured by body fat percentage (BF%), fat mass (FM) and lean body mass (LBM) among Chinese monozygotic twins.
Generalized estimated equation model was used to regress the methylation level of CpG sites on body composition. Inference about Causation Through Examination Of Familial Confounding was used to explore the evidence of a causal relationship. Gene expression analysis was further performed to validate the results of differentially methylated genes.
We identified 32, 22 and 28 differentially methylated CpG sites (p < 10
) as well as 20, 17 and eight differentially methylated regions (slk-corrected p < 0.05) significantly associated with BF%, FM and LBM which were annotated to 65 genes, showing partially overlapping. Causal inference demonstrated bidirectional causality between DNA methylation and body composition (p < 0.05). Gene expression analysis revealed significant correlations between expression levels of five differentially methylated genes and body composition (p < 0.05).
These DNA methylation signatures will contribute to increased knowledge about the epigenetic basis of body composition and provide new strategies for early prevention and treatment of obesity and its related diseases.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>37392072</pmid><doi>10.1111/eci.14055</doi><orcidid>https://orcid.org/0000-0002-5289-2552</orcidid></addata></record> |
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| subjects | Body composition Body fat Body mass CpG islands Deoxyribonucleic acid DNA DNA methylation Epigenetics Gene expression Genes Genomes Inference Lean body mass Obesity Twin studies Twins |
| title | Genome-wide DNA methylation analysis of body composition in Chinese monozygotic twins |
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