Cargando…

Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome

PURPOSE: Observational studies have demonstrated an increased risk of polycystic ovarian syndrome (PCOS) in obese women. This study aimed to identify genetic variants influencing obesity in females and to evaluate the causal association between genetically defined obesity and PCOS in Korean women. M...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahn, Yeongseon, Lee, Hyejin, Cho, Yoon Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670174/
https://www.ncbi.nlm.nih.gov/pubmed/33209044
http://dx.doi.org/10.2147/DMSO.S281529
_version_ 1783610686466686976
author Ahn, Yeongseon
Lee, Hyejin
Cho, Yoon Shin
author_facet Ahn, Yeongseon
Lee, Hyejin
Cho, Yoon Shin
author_sort Ahn, Yeongseon
collection PubMed
description PURPOSE: Observational studies have demonstrated an increased risk of polycystic ovarian syndrome (PCOS) in obese women. This study aimed to identify genetic variants influencing obesity in females and to evaluate the causal association between genetically defined obesity and PCOS in Korean women. METHODS: Two-stage GWAS was conducted to identify genetic variants influencing obesity traits (such as body mass index [BMI], waist–hip ratio [WHR], and waist circumference [WC]) in Korean women. Two-sample Mendelian randomization (MR) analysis was employed to evaluate the causal effect of variants as genetic instruments for female obesity on PCOS. RESULTS: Meta-analysis of 9953 females combining discovery (N = 4658) and replication (N = 5295) stages detected four (rs11162584, rs6760543, rs828104, rs56137030), six (rs139702234, rs2341967, rs73059848, rs5020945, rs550532151, rs61971548), and two genetic variants (rs7722169, rs7206790) suggesting a highly significant association (P < 1×10(−6)) with BMI, WHR, and WC, respectively. Of these, an intron variant rs56137030 in FTO achieved genome-wide significant association (P = 3.39×10(−8)) with BMI in females. Using variants for female obesity, their effect on PCOS in 946 cases and 976 controls was evaluated by MR analysis. MR results indicated no significant association between genetically defined obesity and PCOS in Korean women. CONCLUSION: This study, for the first time, revealed genetic variants for female obesity in the Korean population and reported no causal association between genetically defined obesity and PCOS in Korean women.
format Online
Article
Text
id pubmed-7670174
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-76701742020-11-17 Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome Ahn, Yeongseon Lee, Hyejin Cho, Yoon Shin Diabetes Metab Syndr Obes Original Research PURPOSE: Observational studies have demonstrated an increased risk of polycystic ovarian syndrome (PCOS) in obese women. This study aimed to identify genetic variants influencing obesity in females and to evaluate the causal association between genetically defined obesity and PCOS in Korean women. METHODS: Two-stage GWAS was conducted to identify genetic variants influencing obesity traits (such as body mass index [BMI], waist–hip ratio [WHR], and waist circumference [WC]) in Korean women. Two-sample Mendelian randomization (MR) analysis was employed to evaluate the causal effect of variants as genetic instruments for female obesity on PCOS. RESULTS: Meta-analysis of 9953 females combining discovery (N = 4658) and replication (N = 5295) stages detected four (rs11162584, rs6760543, rs828104, rs56137030), six (rs139702234, rs2341967, rs73059848, rs5020945, rs550532151, rs61971548), and two genetic variants (rs7722169, rs7206790) suggesting a highly significant association (P < 1×10(−6)) with BMI, WHR, and WC, respectively. Of these, an intron variant rs56137030 in FTO achieved genome-wide significant association (P = 3.39×10(−8)) with BMI in females. Using variants for female obesity, their effect on PCOS in 946 cases and 976 controls was evaluated by MR analysis. MR results indicated no significant association between genetically defined obesity and PCOS in Korean women. CONCLUSION: This study, for the first time, revealed genetic variants for female obesity in the Korean population and reported no causal association between genetically defined obesity and PCOS in Korean women. Dove 2020-11-12 /pmc/articles/PMC7670174/ /pubmed/33209044 http://dx.doi.org/10.2147/DMSO.S281529 Text en © 2020 Ahn et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Ahn, Yeongseon
Lee, Hyejin
Cho, Yoon Shin
Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome
title Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome
title_full Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome
title_fullStr Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome
title_full_unstemmed Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome
title_short Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome
title_sort identification of genetic variants for female obesity and evaluation of the causal role of genetically defined obesity in polycystic ovarian syndrome
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670174/
https://www.ncbi.nlm.nih.gov/pubmed/33209044
http://dx.doi.org/10.2147/DMSO.S281529
work_keys_str_mv AT ahnyeongseon identificationofgeneticvariantsforfemaleobesityandevaluationofthecausalroleofgeneticallydefinedobesityinpolycysticovariansyndrome
AT leehyejin identificationofgeneticvariantsforfemaleobesityandevaluationofthecausalroleofgeneticallydefinedobesityinpolycysticovariansyndrome
AT choyoonshin identificationofgeneticvariantsforfemaleobesityandevaluationofthecausalroleofgeneticallydefinedobesityinpolycysticovariansyndrome