Methylome analysis and epigenetic changes associated with menarcheal age
Reproductive factors have been linked to both breast cancer and DNA methylation, suggesting methylation as an important mechanism by which reproductive factors impact on disease risk. However, few studies have investigated the link between reproductive factors and DNA methylation in humans. Genome-w...
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| Veröffentlicht in: | PloS one 2013-11, Vol.8 (11), p.e79391-e79391 |
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| creator | Demetriou, Christiana A Chen, Jia Polidoro, Silvia van Veldhoven, Karin Cuenin, Cyrille Campanella, Gianluca Brennan, Kevin Clavel-Chapelon, Françoise Dossus, Laure Kvaskoff, Marina Drogan, Dagmar Boeing, Heiner Kaaks, Rudolf Risch, Angela Trichopoulos, Dimitrios Lagiou, Pagona Masala, Giovanna Sieri, Sabina Tumino, Rosario Panico, Salvatore Quirós, J Ramón Sánchez Perez, María-José Amiano, Pilar Huerta Castaño, José María Ardanaz, Eva Onland-Moret, Charlotte Peeters, Petra Khaw, Kay-Tee Wareham, Nick Key, Timothy J Travis, Ruth C Romieu, Isabelle Gallo, Valentina Gunter, Marc Herceg, Zdenko Kyriacou, Kyriacos Riboli, Elio Flanagan, James M Vineis, Paolo |
| description | Reproductive factors have been linked to both breast cancer and DNA methylation, suggesting methylation as an important mechanism by which reproductive factors impact on disease risk. However, few studies have investigated the link between reproductive factors and DNA methylation in humans. Genome-wide methylation in peripheral blood lymphocytes of 376 healthy women from the prospective EPIC study was investigated using LUminometric Methylation Assay (LUMA). Also, methylation of 458877 CpG sites was additionally investigated in an independent group of 332 participants of the EPIC-Italy sub-cohort, using the Infinium HumanMethylation 450 BeadChip. Multivariate logistic regression and linear models were used to investigate the association between reproductive risk factors and genome wide and CpG-specific DNA methylation, respectively. Menarcheal age was inversely associated with global DNA methylation as measured with LUMA. For each yearly increase in age at menarche, the risk of having genome wide methylation below median level was increased by 32% (OR:1.32, 95%CI:1.14-1.53). When age at menarche was treated as a categorical variable, there was an inverse dose-response relationship with LUMA methylation levels (OR(12-14 vs. ≤11 yrs):1.78, 95%CI:1.01-3.17 and OR(≥15 vs. ≤11 yrs):4.59, 95%CI:2.04-10.33; P for trend |
| doi_str_mv | 10.1371/journal.pone.0079391 |
| format | Article |
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However, few studies have investigated the link between reproductive factors and DNA methylation in humans. Genome-wide methylation in peripheral blood lymphocytes of 376 healthy women from the prospective EPIC study was investigated using LUminometric Methylation Assay (LUMA). Also, methylation of 458877 CpG sites was additionally investigated in an independent group of 332 participants of the EPIC-Italy sub-cohort, using the Infinium HumanMethylation 450 BeadChip. Multivariate logistic regression and linear models were used to investigate the association between reproductive risk factors and genome wide and CpG-specific DNA methylation, respectively. Menarcheal age was inversely associated with global DNA methylation as measured with LUMA. For each yearly increase in age at menarche, the risk of having genome wide methylation below median level was increased by 32% (OR:1.32, 95%CI:1.14-1.53). When age at menarche was treated as a categorical variable, there was an inverse dose-response relationship with LUMA methylation levels (OR(12-14 vs. ≤11 yrs):1.78, 95%CI:1.01-3.17 and OR(≥15 vs. ≤11 yrs):4.59, 95%CI:2.04-10.33; P for trend<0.0001). However, average levels of global methylation as measured by the Illumina technology were not significantly associated with menarcheal age. In locus by locus comparative analyses, only one CpG site had significantly different methylation depending on the menarcheal age category examined, but this finding was not replicated by pyrosequencing in an independent data set. This study suggests a link between age at menarche and genome wide DNA methylation, and the difference in results between the two arrays suggests that repetitive element methylation has a role in the association. Epigenetic changes may be modulated by menarcheal age, or the association may be a mirror of other important changes in early life that have a detectable effect on both methylation levels and menarcheal age.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0079391</identifier><identifier>PMID: 24278132</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Aged ; Alcohol use ; Analysis ; Body measurements ; Breast cancer ; Cancer genetics ; Cell cycle ; Chronic illnesses ; Clinical medicine ; CpG islands ; CpG Islands - genetics ; Deoxyribonucleic acid ; DNA ; DNA methylation ; DNA Methylation - genetics ; Epidemiology ; Epigenesis, Genetic - genetics ; Epigenetic inheritance ; Epigenetics ; Female ; Genetics ; Genomes ; Genomics ; Health care ; Health risks ; Health sciences ; Hormones ; Humans ; Loci ; Lymphocytes ; Medical research ; Menarche ; Menarche - genetics ; Menarche - physiology ; Methylation ; Microscopy ; Middle Aged ; Mutation ; Nutrition ; Peripheral blood ; Population ; Preventive medicine ; Primary care ; Prospective Studies ; Public health ; Regression analysis ; Risk analysis ; Risk factors ; Women's health</subject><ispartof>PloS one, 2013-11, Vol.8 (11), p.e79391-e79391</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Demetriou et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/3.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Demetriou et al 2013 Demetriou et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-1b3eef85753b6d5f62e8e986997e3c19224409b7b787d5aed1d10794c56af8983</citedby><cites>FETCH-LOGICAL-c692t-1b3eef85753b6d5f62e8e986997e3c19224409b7b787d5aed1d10794c56af8983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835804/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835804/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24278132$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Yan, Wei</contributor><creatorcontrib>Demetriou, Christiana A</creatorcontrib><creatorcontrib>Chen, Jia</creatorcontrib><creatorcontrib>Polidoro, Silvia</creatorcontrib><creatorcontrib>van Veldhoven, Karin</creatorcontrib><creatorcontrib>Cuenin, Cyrille</creatorcontrib><creatorcontrib>Campanella, Gianluca</creatorcontrib><creatorcontrib>Brennan, Kevin</creatorcontrib><creatorcontrib>Clavel-Chapelon, Françoise</creatorcontrib><creatorcontrib>Dossus, Laure</creatorcontrib><creatorcontrib>Kvaskoff, Marina</creatorcontrib><creatorcontrib>Drogan, Dagmar</creatorcontrib><creatorcontrib>Boeing, Heiner</creatorcontrib><creatorcontrib>Kaaks, Rudolf</creatorcontrib><creatorcontrib>Risch, Angela</creatorcontrib><creatorcontrib>Trichopoulos, Dimitrios</creatorcontrib><creatorcontrib>Lagiou, Pagona</creatorcontrib><creatorcontrib>Masala, Giovanna</creatorcontrib><creatorcontrib>Sieri, Sabina</creatorcontrib><creatorcontrib>Tumino, Rosario</creatorcontrib><creatorcontrib>Panico, Salvatore</creatorcontrib><creatorcontrib>Quirós, J Ramón</creatorcontrib><creatorcontrib>Sánchez Perez, María-José</creatorcontrib><creatorcontrib>Amiano, Pilar</creatorcontrib><creatorcontrib>Huerta Castaño, José María</creatorcontrib><creatorcontrib>Ardanaz, Eva</creatorcontrib><creatorcontrib>Onland-Moret, Charlotte</creatorcontrib><creatorcontrib>Peeters, Petra</creatorcontrib><creatorcontrib>Khaw, Kay-Tee</creatorcontrib><creatorcontrib>Wareham, Nick</creatorcontrib><creatorcontrib>Key, Timothy J</creatorcontrib><creatorcontrib>Travis, Ruth C</creatorcontrib><creatorcontrib>Romieu, Isabelle</creatorcontrib><creatorcontrib>Gallo, Valentina</creatorcontrib><creatorcontrib>Gunter, Marc</creatorcontrib><creatorcontrib>Herceg, Zdenko</creatorcontrib><creatorcontrib>Kyriacou, Kyriacos</creatorcontrib><creatorcontrib>Riboli, Elio</creatorcontrib><creatorcontrib>Flanagan, James M</creatorcontrib><creatorcontrib>Vineis, Paolo</creatorcontrib><title>Methylome analysis and epigenetic changes associated with menarcheal age</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Reproductive factors have been linked to both breast cancer and DNA methylation, suggesting methylation as an important mechanism by which reproductive factors impact on disease risk. However, few studies have investigated the link between reproductive factors and DNA methylation in humans. Genome-wide methylation in peripheral blood lymphocytes of 376 healthy women from the prospective EPIC study was investigated using LUminometric Methylation Assay (LUMA). Also, methylation of 458877 CpG sites was additionally investigated in an independent group of 332 participants of the EPIC-Italy sub-cohort, using the Infinium HumanMethylation 450 BeadChip. Multivariate logistic regression and linear models were used to investigate the association between reproductive risk factors and genome wide and CpG-specific DNA methylation, respectively. Menarcheal age was inversely associated with global DNA methylation as measured with LUMA. For each yearly increase in age at menarche, the risk of having genome wide methylation below median level was increased by 32% (OR:1.32, 95%CI:1.14-1.53). When age at menarche was treated as a categorical variable, there was an inverse dose-response relationship with LUMA methylation levels (OR(12-14 vs. ≤11 yrs):1.78, 95%CI:1.01-3.17 and OR(≥15 vs. ≤11 yrs):4.59, 95%CI:2.04-10.33; P for trend<0.0001). However, average levels of global methylation as measured by the Illumina technology were not significantly associated with menarcheal age. In locus by locus comparative analyses, only one CpG site had significantly different methylation depending on the menarcheal age category examined, but this finding was not replicated by pyrosequencing in an independent data set. This study suggests a link between age at menarche and genome wide DNA methylation, and the difference in results between the two arrays suggests that repetitive element methylation has a role in the association. Epigenetic changes may be modulated by menarcheal age, or the association may be a mirror of other important changes in early life that have a detectable effect on both methylation levels and menarcheal age.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Alcohol use</subject><subject>Analysis</subject><subject>Body measurements</subject><subject>Breast cancer</subject><subject>Cancer genetics</subject><subject>Cell cycle</subject><subject>Chronic illnesses</subject><subject>Clinical medicine</subject><subject>CpG islands</subject><subject>CpG Islands - genetics</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>DNA Methylation - genetics</subject><subject>Epidemiology</subject><subject>Epigenesis, Genetic - genetics</subject><subject>Epigenetic inheritance</subject><subject>Epigenetics</subject><subject>Female</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Health care</subject><subject>Health risks</subject><subject>Health sciences</subject><subject>Hormones</subject><subject>Humans</subject><subject>Loci</subject><subject>Lymphocytes</subject><subject>Medical research</subject><subject>Menarche</subject><subject>Menarche - genetics</subject><subject>Menarche - physiology</subject><subject>Methylation</subject><subject>Microscopy</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Nutrition</subject><subject>Peripheral blood</subject><subject>Population</subject><subject>Preventive medicine</subject><subject>Primary care</subject><subject>Prospective Studies</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Women's 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analysis and epigenetic changes associated with menarcheal age</title><author>Demetriou, Christiana A ; Chen, Jia ; Polidoro, Silvia ; van Veldhoven, Karin ; Cuenin, Cyrille ; Campanella, Gianluca ; Brennan, Kevin ; Clavel-Chapelon, Françoise ; Dossus, Laure ; Kvaskoff, Marina ; Drogan, Dagmar ; Boeing, Heiner ; Kaaks, Rudolf ; Risch, Angela ; Trichopoulos, Dimitrios ; Lagiou, Pagona ; Masala, Giovanna ; Sieri, Sabina ; Tumino, Rosario ; Panico, Salvatore ; Quirós, J Ramón ; Sánchez Perez, María-José ; Amiano, Pilar ; Huerta Castaño, José María ; Ardanaz, Eva ; Onland-Moret, Charlotte ; Peeters, Petra ; Khaw, Kay-Tee ; Wareham, Nick ; Key, Timothy J ; Travis, Ruth C ; Romieu, Isabelle ; Gallo, Valentina ; Gunter, Marc ; Herceg, Zdenko ; Kyriacou, Kyriacos ; Riboli, Elio ; Flanagan, James M ; Vineis, Paolo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-1b3eef85753b6d5f62e8e986997e3c19224409b7b787d5aed1d10794c56af8983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Alcohol use</topic><topic>Analysis</topic><topic>Body measurements</topic><topic>Breast cancer</topic><topic>Cancer genetics</topic><topic>Cell cycle</topic><topic>Chronic illnesses</topic><topic>Clinical medicine</topic><topic>CpG islands</topic><topic>CpG Islands - genetics</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA methylation</topic><topic>DNA Methylation - genetics</topic><topic>Epidemiology</topic><topic>Epigenesis, Genetic - genetics</topic><topic>Epigenetic inheritance</topic><topic>Epigenetics</topic><topic>Female</topic><topic>Genetics</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Health care</topic><topic>Health risks</topic><topic>Health sciences</topic><topic>Hormones</topic><topic>Humans</topic><topic>Loci</topic><topic>Lymphocytes</topic><topic>Medical research</topic><topic>Menarche</topic><topic>Menarche - genetics</topic><topic>Menarche - physiology</topic><topic>Methylation</topic><topic>Microscopy</topic><topic>Middle Aged</topic><topic>Mutation</topic><topic>Nutrition</topic><topic>Peripheral blood</topic><topic>Population</topic><topic>Preventive medicine</topic><topic>Primary care</topic><topic>Prospective Studies</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Women's health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Demetriou, Christiana A</creatorcontrib><creatorcontrib>Chen, Jia</creatorcontrib><creatorcontrib>Polidoro, Silvia</creatorcontrib><creatorcontrib>van Veldhoven, Karin</creatorcontrib><creatorcontrib>Cuenin, Cyrille</creatorcontrib><creatorcontrib>Campanella, Gianluca</creatorcontrib><creatorcontrib>Brennan, Kevin</creatorcontrib><creatorcontrib>Clavel-Chapelon, Françoise</creatorcontrib><creatorcontrib>Dossus, Laure</creatorcontrib><creatorcontrib>Kvaskoff, Marina</creatorcontrib><creatorcontrib>Drogan, Dagmar</creatorcontrib><creatorcontrib>Boeing, Heiner</creatorcontrib><creatorcontrib>Kaaks, Rudolf</creatorcontrib><creatorcontrib>Risch, Angela</creatorcontrib><creatorcontrib>Trichopoulos, Dimitrios</creatorcontrib><creatorcontrib>Lagiou, Pagona</creatorcontrib><creatorcontrib>Masala, Giovanna</creatorcontrib><creatorcontrib>Sieri, Sabina</creatorcontrib><creatorcontrib>Tumino, Rosario</creatorcontrib><creatorcontrib>Panico, Salvatore</creatorcontrib><creatorcontrib>Quirós, J Ramón</creatorcontrib><creatorcontrib>Sánchez Perez, María-José</creatorcontrib><creatorcontrib>Amiano, Pilar</creatorcontrib><creatorcontrib>Huerta Castaño, José María</creatorcontrib><creatorcontrib>Ardanaz, Eva</creatorcontrib><creatorcontrib>Onland-Moret, Charlotte</creatorcontrib><creatorcontrib>Peeters, Petra</creatorcontrib><creatorcontrib>Khaw, Kay-Tee</creatorcontrib><creatorcontrib>Wareham, Nick</creatorcontrib><creatorcontrib>Key, Timothy J</creatorcontrib><creatorcontrib>Travis, Ruth C</creatorcontrib><creatorcontrib>Romieu, Isabelle</creatorcontrib><creatorcontrib>Gallo, Valentina</creatorcontrib><creatorcontrib>Gunter, Marc</creatorcontrib><creatorcontrib>Herceg, Zdenko</creatorcontrib><creatorcontrib>Kyriacou, Kyriacos</creatorcontrib><creatorcontrib>Riboli, Elio</creatorcontrib><creatorcontrib>Flanagan, James M</creatorcontrib><creatorcontrib>Vineis, Paolo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale 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Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Demetriou, Christiana A</au><au>Chen, Jia</au><au>Polidoro, Silvia</au><au>van Veldhoven, Karin</au><au>Cuenin, Cyrille</au><au>Campanella, Gianluca</au><au>Brennan, Kevin</au><au>Clavel-Chapelon, Françoise</au><au>Dossus, Laure</au><au>Kvaskoff, Marina</au><au>Drogan, Dagmar</au><au>Boeing, Heiner</au><au>Kaaks, Rudolf</au><au>Risch, Angela</au><au>Trichopoulos, Dimitrios</au><au>Lagiou, Pagona</au><au>Masala, Giovanna</au><au>Sieri, Sabina</au><au>Tumino, Rosario</au><au>Panico, Salvatore</au><au>Quirós, J Ramón</au><au>Sánchez Perez, María-José</au><au>Amiano, Pilar</au><au>Huerta Castaño, José María</au><au>Ardanaz, Eva</au><au>Onland-Moret, Charlotte</au><au>Peeters, Petra</au><au>Khaw, Kay-Tee</au><au>Wareham, Nick</au><au>Key, Timothy J</au><au>Travis, Ruth C</au><au>Romieu, Isabelle</au><au>Gallo, Valentina</au><au>Gunter, Marc</au><au>Herceg, Zdenko</au><au>Kyriacou, Kyriacos</au><au>Riboli, Elio</au><au>Flanagan, James M</au><au>Vineis, Paolo</au><au>Yan, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methylome analysis and epigenetic changes associated with menarcheal age</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-11-20</date><risdate>2013</risdate><volume>8</volume><issue>11</issue><spage>e79391</spage><epage>e79391</epage><pages>e79391-e79391</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Reproductive factors have been linked to both breast cancer and DNA methylation, suggesting methylation as an important mechanism by which reproductive factors impact on disease risk. However, few studies have investigated the link between reproductive factors and DNA methylation in humans. Genome-wide methylation in peripheral blood lymphocytes of 376 healthy women from the prospective EPIC study was investigated using LUminometric Methylation Assay (LUMA). Also, methylation of 458877 CpG sites was additionally investigated in an independent group of 332 participants of the EPIC-Italy sub-cohort, using the Infinium HumanMethylation 450 BeadChip. Multivariate logistic regression and linear models were used to investigate the association between reproductive risk factors and genome wide and CpG-specific DNA methylation, respectively. Menarcheal age was inversely associated with global DNA methylation as measured with LUMA. For each yearly increase in age at menarche, the risk of having genome wide methylation below median level was increased by 32% (OR:1.32, 95%CI:1.14-1.53). When age at menarche was treated as a categorical variable, there was an inverse dose-response relationship with LUMA methylation levels (OR(12-14 vs. ≤11 yrs):1.78, 95%CI:1.01-3.17 and OR(≥15 vs. ≤11 yrs):4.59, 95%CI:2.04-10.33; P for trend<0.0001). However, average levels of global methylation as measured by the Illumina technology were not significantly associated with menarcheal age. In locus by locus comparative analyses, only one CpG site had significantly different methylation depending on the menarcheal age category examined, but this finding was not replicated by pyrosequencing in an independent data set. This study suggests a link between age at menarche and genome wide DNA methylation, and the difference in results between the two arrays suggests that repetitive element methylation has a role in the association. Epigenetic changes may be modulated by menarcheal age, or the association may be a mirror of other important changes in early life that have a detectable effect on both methylation levels and menarcheal age.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24278132</pmid><doi>10.1371/journal.pone.0079391</doi><tpages>e79391</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2013-11, Vol.8 (11), p.e79391-e79391 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1460161010 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Age Aged Alcohol use Analysis Body measurements Breast cancer Cancer genetics Cell cycle Chronic illnesses Clinical medicine CpG islands CpG Islands - genetics Deoxyribonucleic acid DNA DNA methylation DNA Methylation - genetics Epidemiology Epigenesis, Genetic - genetics Epigenetic inheritance Epigenetics Female Genetics Genomes Genomics Health care Health risks Health sciences Hormones Humans Loci Lymphocytes Medical research Menarche Menarche - genetics Menarche - physiology Methylation Microscopy Middle Aged Mutation Nutrition Peripheral blood Population Preventive medicine Primary care Prospective Studies Public health Regression analysis Risk analysis Risk factors Women's health |
| title | Methylome analysis and epigenetic changes associated with menarcheal age |
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