Literature DB >> 34239329

Genetically Predicted Cigarette Smoking in Relation to Risk of Polycystic Ovary Syndrome.

Yingli Tao1, Bin Liu2, Ying Chen2, Yiduoduo Hu2, Rui Zhu3, Ding Ye2, Yingying Mao2, Xiaohui Sun2.   

Abstract

BACKGROUND: Evidence from observational studies has suggested a link between cigarette smoking and the risk of polycystic ovary syndrome (PCOS). However, it remains uncertain whether the observed relationship is causal or due to biases inherent in observational studies. Therefore, we adopted two-sample Mendelian randomization (MR) design to assess the potential causal association between smoking and the risk of PCOS.
METHODS: Summary level data of PCOS was obtained from a genome-wide association study (GWAS) meta-analysis including 4,138 cases and 20,129 controls of European ancestry. Single-nucleotide polymorphisms (SNPs) associated with smoking initiation (n=360) were selected and used as genetic instrumental variables (IVs). MR analysis was performed using inverse-variance weighted (IVW) method, supplemented with the likelihood-based method, weighted median method, MR pleiotropy residual sum and outlier (MR-PRESSO) test, and MR-Egger regression.
RESULTS: Genetically predicted smoking initiation was associated with an increased risk of PCOS in the primary analysis (odds ratio (OR) =1.38, 95% confidence interval (CI) =1.12-1.69). MR-Egger regression did not detect the horizontal pleiotropy. Sensitivity analyses using alternative MR methods and restricted IVs produced similar results.
CONCLUSION: Our study provided evidence to support a potential causal association between smoking initiation and an increased risk of PCOS, providing a better understanding of the etiology and prevention of PCOS. Further studies are warranted to clarify the underlying biological mechanisms of smoking in the development of PCOS.
© 2021 Tao et al.

Entities:  

Keywords:  Mendelian randomization; causal inference; cigarette smoking; polycystic ovary syndrome; single-nucleotide polymorphism

Year:  2021        PMID: 34239329      PMCID: PMC8259737          DOI: 10.2147/CLEP.S311785

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


  33 in total

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Review 2.  Mendelian Randomization.

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Journal:  J Steroid Biochem Mol Biol       Date:  2018-04-17       Impact factor: 4.292

Review 4.  Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment.

Authors:  Héctor F Escobar-Morreale
Journal:  Nat Rev Endocrinol       Date:  2018-03-23       Impact factor: 43.330

5.  Association between genetically predicted polycystic ovary syndrome and ovarian cancer: a Mendelian randomization study.

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Journal:  Int J Epidemiol       Date:  2019-06-01       Impact factor: 9.685

6.  Mendelian randomization analysis with multiple genetic variants using summarized data.

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Journal:  Genet Epidemiol       Date:  2013-09-20       Impact factor: 2.135

Review 7.  Smoke, alcohol and drug addiction and female fertility.

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Journal:  Reprod Biol Endocrinol       Date:  2020-03-12       Impact factor: 5.211

8.  Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods.

Authors:  Stephen Burgess; Frank Dudbridge; Simon G Thompson
Journal:  Stat Med       Date:  2015-12-13       Impact factor: 2.373

9.  Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic.

Authors:  Jack Bowden; Fabiola Del Greco M; Cosetta Minelli; George Davey Smith; Nuala A Sheehan; John R Thompson
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

Review 10.  The Genetics of Polycystic Ovary Syndrome: An Overview of Candidate Gene Systematic Reviews and Genome-Wide Association Studies.

Authors:  Danielle Hiam; Alba Moreno-Asso; Helena J Teede; Joop S E Laven; Nigel K Stepto; Lisa J Moran; Melanie Gibson-Helm
Journal:  J Clin Med       Date:  2019-10-03       Impact factor: 4.241

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