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Association of birth weight, childhood obesity, and age at menarche with the risk of ovarian dysfunction: A mendelian randomization study
Observational studies have revealed associations between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. However, these studies are susceptible to unavoidable confounding factors, leading to ongoing debates regarding their conclusions and making causal relationships challe...
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Published in: | PloS one 2024-07, Vol.19 (7), p.e0306365 |
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description | Observational studies have revealed associations between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. However, these studies are susceptible to unavoidable confounding factors, leading to ongoing debates regarding their conclusions and making causal relationships challenging to infer. In light of these challenges, Mendelian randomization was employed in this study to investigate the causal relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction.
This study employed a two-sample Mendelian randomization approach using genetic variation as instrumental variables to investigate causal relationships. Genetic variation data were sourced from summary data of genome-wide association studies in European populations. Instrumental variables were selected based on the principles of Mendel's three assumptions. The study utilized the inverse variance weighted method to assess the relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. Supplementary analyses were conducted using MR-Egger regression, the weighted median method, and the weighted median mode to complement the IVW results. Furthermore, the study conducted heterogeneity, horizontal pleiotropy, and sensitivity analyses to evaluate the robustness of the results.
Based on the inverse variance weighted method, it was found that there exists a causal relationship between childhood obesity (OR = 1.378, 95% CI: 1.113∼1.705, p = 0.003), age at menarche (OR = 0.639, 95% CI: 0.468∼0.871, p = 0.005), and ovarian dysfunction, while no causal relationship was observed between birth weight and ovarian dysfunction. Heterogeneity tests, multiplicity tests, and leave-one-out sensitivity analyses did not detect any heterogeneity or multiplicity effects in the estimated impact of these three exposure factors on the risk of ovarian dysfunction.
This study represents the first evidence suggesting a potential causal relationship between childhood obesity, age at menarche, and ovarian dysfunction. Childhood obesity was found to increase the risk of ovarian dysfunction, while a later age at menarche was associated with a reduced risk of ovarian dysfunction. |
doi_str_mv | 10.1371/journal.pone.0306365 |
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This study employed a two-sample Mendelian randomization approach using genetic variation as instrumental variables to investigate causal relationships. Genetic variation data were sourced from summary data of genome-wide association studies in European populations. Instrumental variables were selected based on the principles of Mendel's three assumptions. The study utilized the inverse variance weighted method to assess the relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. Supplementary analyses were conducted using MR-Egger regression, the weighted median method, and the weighted median mode to complement the IVW results. Furthermore, the study conducted heterogeneity, horizontal pleiotropy, and sensitivity analyses to evaluate the robustness of the results.
Based on the inverse variance weighted method, it was found that there exists a causal relationship between childhood obesity (OR = 1.378, 95% CI: 1.113∼1.705, p = 0.003), age at menarche (OR = 0.639, 95% CI: 0.468∼0.871, p = 0.005), and ovarian dysfunction, while no causal relationship was observed between birth weight and ovarian dysfunction. Heterogeneity tests, multiplicity tests, and leave-one-out sensitivity analyses did not detect any heterogeneity or multiplicity effects in the estimated impact of these three exposure factors on the risk of ovarian dysfunction.
This study represents the first evidence suggesting a potential causal relationship between childhood obesity, age at menarche, and ovarian dysfunction. Childhood obesity was found to increase the risk of ovarian dysfunction, while a later age at menarche was associated with a reduced risk of ovarian dysfunction.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0306365</identifier><identifier>PMID: 39024334</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Age ; Age Factors ; Biology and Life Sciences ; Birth weight ; Birth Weight - genetics ; Child ; Childhood ; Children ; Confounding (Statistics) ; Consortia ; Eggs ; Female ; Genetic diversity ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Genomics ; Heterogeneity ; Humans ; Impact analysis ; Medicine and Health Sciences ; Menarche ; Menarche - genetics ; Mendelian Randomization Analysis ; Obesity ; Obesity in children ; Observational studies ; Ovaries ; Pediatric Obesity - epidemiology ; Pediatric Obesity - genetics ; Physical Sciences ; Pleiotropy ; Population genetics ; Population studies ; Randomization ; Research and Analysis Methods ; Risk analysis ; Risk Factors ; Risk management ; Risk reduction ; Sensitivity analysis ; Variables ; Variance analysis</subject><ispartof>PloS one, 2024-07, Vol.19 (7), p.e0306365</ispartof><rights>Copyright: © 2024 Dang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Dang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (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>2024 Dang et al 2024 Dang et al</rights><rights>2024 Dang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c572t-807052219c695b73e4ab5a5d2af819386d31d226a7cea412f943f3ff86ffb3e23</cites><orcidid>0000-0001-8145-8774</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3082558040/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3082558040?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39024334$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Anbazhagan, Rajakumar</contributor><creatorcontrib>Dang, Chunxiao</creatorcontrib><creatorcontrib>Li, Jianjuan</creatorcontrib><creatorcontrib>Yu, Xiao</creatorcontrib><creatorcontrib>Liu, Jinxing</creatorcontrib><creatorcontrib>Liu, Pengfei</creatorcontrib><creatorcontrib>Yang, Xiaoling</creatorcontrib><title>Association of birth weight, childhood obesity, and age at menarche with the risk of ovarian dysfunction: A mendelian randomization study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Observational studies have revealed associations between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. However, these studies are susceptible to unavoidable confounding factors, leading to ongoing debates regarding their conclusions and making causal relationships challenging to infer. In light of these challenges, Mendelian randomization was employed in this study to investigate the causal relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction.
This study employed a two-sample Mendelian randomization approach using genetic variation as instrumental variables to investigate causal relationships. Genetic variation data were sourced from summary data of genome-wide association studies in European populations. Instrumental variables were selected based on the principles of Mendel's three assumptions. The study utilized the inverse variance weighted method to assess the relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. Supplementary analyses were conducted using MR-Egger regression, the weighted median method, and the weighted median mode to complement the IVW results. Furthermore, the study conducted heterogeneity, horizontal pleiotropy, and sensitivity analyses to evaluate the robustness of the results.
Based on the inverse variance weighted method, it was found that there exists a causal relationship between childhood obesity (OR = 1.378, 95% CI: 1.113∼1.705, p = 0.003), age at menarche (OR = 0.639, 95% CI: 0.468∼0.871, p = 0.005), and ovarian dysfunction, while no causal relationship was observed between birth weight and ovarian dysfunction. Heterogeneity tests, multiplicity tests, and leave-one-out sensitivity analyses did not detect any heterogeneity or multiplicity effects in the estimated impact of these three exposure factors on the risk of ovarian dysfunction.
This study represents the first evidence suggesting a potential causal relationship between childhood obesity, age at menarche, and ovarian dysfunction. Childhood obesity was found to increase the risk of ovarian dysfunction, while a later age at menarche was associated with a reduced risk of ovarian dysfunction.</description><subject>Adolescent</subject><subject>Age</subject><subject>Age Factors</subject><subject>Biology and Life Sciences</subject><subject>Birth weight</subject><subject>Birth Weight - genetics</subject><subject>Child</subject><subject>Childhood</subject><subject>Children</subject><subject>Confounding (Statistics)</subject><subject>Consortia</subject><subject>Eggs</subject><subject>Female</subject><subject>Genetic diversity</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Impact analysis</subject><subject>Medicine and Health Sciences</subject><subject>Menarche</subject><subject>Menarche - genetics</subject><subject>Mendelian Randomization Analysis</subject><subject>Obesity</subject><subject>Obesity in children</subject><subject>Observational studies</subject><subject>Ovaries</subject><subject>Pediatric Obesity - epidemiology</subject><subject>Pediatric Obesity - genetics</subject><subject>Physical Sciences</subject><subject>Pleiotropy</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Randomization</subject><subject>Research and Analysis Methods</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>Sensitivity analysis</subject><subject>Variables</subject><subject>Variance analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk-1u0zAUhiMEYmNwBwgiISGQ1uKPxEn4g6qJj0qTJvH113Kc48QljYvtbJSL4Bp6Lb0ynDWbWrQfKD8S2c_7vj4nPlH0FKMpphl-szC97UQ7XZkOpogiRll6LzrGBSUTRhC9v_d9FD1yboFQSnPGHkZHtEAkoTQ5jv7MnDNSC69NFxu13ZTa-ia-Al03_jSWjW6rxpgqNiU47denseiq7UbUEAsfL6ETVjYQX2nfbDe-ge3Gavfj2slcCqtFF1drp_pODglv49mgqaAdNmywMkv9exfufF-tH0cPlGgdPBnfJ9G3D--_nn2anF98nJ_NzicyzYif5ChDKSG4kKxIy4xCIspUpBURKg9F56yiuCKEiUyCSDBRRUIVVSpnSpUUCD2Jnu98V61xfGyl4xTlJE1zlKBAzHdEZcSCr6xeCrvmRmh-vWBszYX1WrbAWVYShUO0SkmSZbkAgASVjMgyyROpgte7Ma0vl1BJ6LwV7YHp4U6nG16bS44xSTPKaHB4NTpY87MH5_lSOwltKzow_e7gjKQYDaW9-Ae9u7yRqkWoQHfKhGA5mPJZjnBWBHLwmt5BhaeCpZbh4ikd1g8Erw8EgfHwy9eid47Pv3z-f_bi-yH7co9tQLS-cabth5vjDsFkB0prnLOgbruMER_m5qYbfJgbPs5NkD3b_0O3optBoX8B0hsYtg</recordid><startdate>20240718</startdate><enddate>20240718</enddate><creator>Dang, Chunxiao</creator><creator>Li, Jianjuan</creator><creator>Yu, Xiao</creator><creator>Liu, Jinxing</creator><creator>Liu, Pengfei</creator><creator>Yang, Xiaoling</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8145-8774</orcidid></search><sort><creationdate>20240718</creationdate><title>Association of birth weight, childhood obesity, and age at menarche with the risk of ovarian dysfunction: A mendelian randomization study</title><author>Dang, Chunxiao ; Li, Jianjuan ; Yu, Xiao ; Liu, Jinxing ; Liu, Pengfei ; Yang, Xiaoling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-807052219c695b73e4ab5a5d2af819386d31d226a7cea412f943f3ff86ffb3e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Age</topic><topic>Age Factors</topic><topic>Biology and Life Sciences</topic><topic>Birth weight</topic><topic>Birth Weight - genetics</topic><topic>Child</topic><topic>Childhood</topic><topic>Children</topic><topic>Confounding (Statistics)</topic><topic>Consortia</topic><topic>Eggs</topic><topic>Female</topic><topic>Genetic diversity</topic><topic>Genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Impact analysis</topic><topic>Medicine and Health Sciences</topic><topic>Menarche</topic><topic>Menarche - genetics</topic><topic>Mendelian Randomization Analysis</topic><topic>Obesity</topic><topic>Obesity in children</topic><topic>Observational studies</topic><topic>Ovaries</topic><topic>Pediatric Obesity - epidemiology</topic><topic>Pediatric Obesity - genetics</topic><topic>Physical Sciences</topic><topic>Pleiotropy</topic><topic>Population genetics</topic><topic>Population studies</topic><topic>Randomization</topic><topic>Research and Analysis Methods</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk management</topic><topic>Risk reduction</topic><topic>Sensitivity analysis</topic><topic>Variables</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dang, Chunxiao</creatorcontrib><creatorcontrib>Li, Jianjuan</creatorcontrib><creatorcontrib>Yu, Xiao</creatorcontrib><creatorcontrib>Liu, Jinxing</creatorcontrib><creatorcontrib>Liu, Pengfei</creatorcontrib><creatorcontrib>Yang, Xiaoling</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 In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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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>Dang, Chunxiao</au><au>Li, Jianjuan</au><au>Yu, Xiao</au><au>Liu, Jinxing</au><au>Liu, Pengfei</au><au>Yang, Xiaoling</au><au>Anbazhagan, Rajakumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of birth weight, childhood obesity, and age at menarche with the risk of ovarian dysfunction: A mendelian randomization study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-07-18</date><risdate>2024</risdate><volume>19</volume><issue>7</issue><spage>e0306365</spage><pages>e0306365-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Observational studies have revealed associations between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. However, these studies are susceptible to unavoidable confounding factors, leading to ongoing debates regarding their conclusions and making causal relationships challenging to infer. In light of these challenges, Mendelian randomization was employed in this study to investigate the causal relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction.
This study employed a two-sample Mendelian randomization approach using genetic variation as instrumental variables to investigate causal relationships. Genetic variation data were sourced from summary data of genome-wide association studies in European populations. Instrumental variables were selected based on the principles of Mendel's three assumptions. The study utilized the inverse variance weighted method to assess the relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. Supplementary analyses were conducted using MR-Egger regression, the weighted median method, and the weighted median mode to complement the IVW results. Furthermore, the study conducted heterogeneity, horizontal pleiotropy, and sensitivity analyses to evaluate the robustness of the results.
Based on the inverse variance weighted method, it was found that there exists a causal relationship between childhood obesity (OR = 1.378, 95% CI: 1.113∼1.705, p = 0.003), age at menarche (OR = 0.639, 95% CI: 0.468∼0.871, p = 0.005), and ovarian dysfunction, while no causal relationship was observed between birth weight and ovarian dysfunction. Heterogeneity tests, multiplicity tests, and leave-one-out sensitivity analyses did not detect any heterogeneity or multiplicity effects in the estimated impact of these three exposure factors on the risk of ovarian dysfunction.
This study represents the first evidence suggesting a potential causal relationship between childhood obesity, age at menarche, and ovarian dysfunction. Childhood obesity was found to increase the risk of ovarian dysfunction, while a later age at menarche was associated with a reduced risk of ovarian dysfunction.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39024334</pmid><doi>10.1371/journal.pone.0306365</doi><tpages>e0306365</tpages><orcidid>https://orcid.org/0000-0001-8145-8774</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Age Age Factors Biology and Life Sciences Birth weight Birth Weight - genetics Child Childhood Children Confounding (Statistics) Consortia Eggs Female Genetic diversity Genome-wide association studies Genome-Wide Association Study Genomes Genomics Heterogeneity Humans Impact analysis Medicine and Health Sciences Menarche Menarche - genetics Mendelian Randomization Analysis Obesity Obesity in children Observational studies Ovaries Pediatric Obesity - epidemiology Pediatric Obesity - genetics Physical Sciences Pleiotropy Population genetics Population studies Randomization Research and Analysis Methods Risk analysis Risk Factors Risk management Risk reduction Sensitivity analysis Variables Variance analysis |
title | Association of birth weight, childhood obesity, and age at menarche with the risk of ovarian dysfunction: A mendelian randomization study |
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