Novel pleiotropic variants associated with type 2 diabetes and polycystic ovary syndrome detected using a pleiotropic cFDR method

Polycystic ovary syndrome (PCOS): condition information. January 31, 2017. [cited 2020 10 September ]; Available from: https://www.nichd.nih.gov/health/topics/pcos/conditioninfo.

Polycystic ovary syndrome (PCOS) fact sheet. December 23, 2014 [cited 2020 10 September]; Available from: https://www.womenshealth.gov/a-z-topics/polycystic-ovary-syndrome.

Meier RK. Polycystic ovary syndrome [J]. Nurs Clin North Am. 2018;53(3):407–20.

Article  PubMed  Google Scholar 

Moghetti P. Insulin resistance and polycystic ovary syndrome [J]. Curr Pharm Des. 2016;22(36):5526–34.

Article  CAS  PubMed  Google Scholar 

Azziz R. Polycystic ovary syndrome [J]. Obstet Gynecol. 2018;132(2):321–36.

Article  PubMed  Google Scholar 

Ali AT. Polycystic ovary syndrome and metabolic syndrome [J]. Ceska Gynekol. 2015;80(4):279–89.

PubMed  Google Scholar 

Legro RS, Kunselman AR, Dodson WC, Dunaif A. Prevalence and predictors of risk for type 2 diabetes mellitus and impaired glucose tolerance in polycystic ovary syndrome: a prospective, controlled study in 254 affected women [J]. J Clin Endocrinol Metab. 1999;84(1):165–9.

CAS  PubMed  Google Scholar 

Norman RJ, Masters L, Milner CR, Wang JX, Davies MJ. Relative risk of conversion from normoglycaemia to impaired glucose tolerance or non-insulin dependent diabetes mellitus in polycystic ovarian syndrome [J]. Hum Reprod. 2001;16(9):1995–8.

Article  CAS  PubMed  Google Scholar 

Lo JC, Feigenbaum SL, Yang J, Pressman AR, Selby JV, Go AS. Epidemiology and adverse cardiovascular risk profile of diagnosed polycystic ovary syndrome [J]. J Clin Endocrinol Metab. 2006;91(4):1357–63.

Article  CAS  PubMed  Google Scholar 

Morgan CL, Jenkins-Jones S, Currie CJ, Rees DA. Evaluation of adverse outcome in young women with polycystic ovary syndrome versus matched, reference controls: a retrospective, observational study [J]. J Clin Endocrinol Metab. 2012;97(9):3251–60.

Article  CAS  PubMed  Google Scholar 

Vink JM, Sadrzadeh S, Lambalk CB, Boomsma DI. Heritability of polycystic ovary syndrome in a Dutch twin-family study [J]. The Journal of Clinical Endocrinology & Metabolism. 2006;91(6):2100–4.

Article  CAS  Google Scholar 

Almgren P, Lehtovirta M, Isomaa B, Sarelin L, Taskinen MR, Lyssenko V, Tuomi T, Groop L, Botnia G. study, heritability and familiality of type 2 diabetes and related quantitative traits in the Botnia study [J]. Diabetologia. 2011;54(11):2811–9.

Article  CAS  PubMed  Google Scholar 

Day F, Karaderi T, Jones MR, Meun C, He C, Drong A, Kraft P, Lin N, Huang H, Broer L, Magi R, Saxena R, Laisk T, Urbanek M, Hayes MG, Thorleifsson G, Fernandez-Tajes J, Mahajan A, Mullin BH, et al. Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria [J]. PLoS Genet. 2018;14(12):e1007813.

Article  PubMed  PubMed Central  Google Scholar 

Morris AP, Voight BF, Teslovich TM, Ferreira T, Segre AV, Steinthorsdottir V, Strawbridge RJ, Khan H, Grallert H, Mahajan A, Prokopenko I, Kang HM, Dina C, Esko T, Fraser RM, Kanoni S, Kumar A, Lagou V, Langenberg C, et al. Replication, large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes [J]. Nat Genet. 2012;44(9):981.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, Madden PA, Heath AC, Martin NG, Montgomery GW, Goddard ME, Visscher PM. Common SNPs explain a large proportion of the heritability for human height [J]. Nat Genet. 2010;42(7):565–9.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Yoo YJ, Pinnaduwage D, Waggott D, Bull SB, Sun L. Genome-wide association analyses of North American Rheumatoid Arthritis Consortium and Framingham Heart Study data utilizing genome-wide linkage results [J]. BMC Proc. 2009;3(Suppl 7):S103.

Article  PubMed  PubMed Central  Google Scholar 

Andreassen OA, Djurovic S, Thompson WK, Schork AJ, Kendler KS, O'Donovan MC, Rujescu D, Werge T, van de Bunt M, Morris AP, McCarthy MI, Roddey JC, McEvoy LK, Desikan RS, Dale AM, G. International Consortium for Blood Pressure, R. Diabetes Genetics, C. Meta-analysis, G. Psychiatric Genomics Consortium Schizophrenia Working. Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors [J]. Am J Hum Genet. 2013;92(2):197–209.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cichonska, A., J. Rousu, P. Marttinen, A. J. Kangas, P. Soininen, T. Lehtimäki, O. T. Raitakari, M.-R. Järvelin, V. Salomaa, M. Ala-Korpela, S. Ripatti, M. Pirinen, metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis [J]. bioRxiv, 2015.

Chung D, Yang C, Li C, Gelernter J, Zhao H. GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation [J]. PLoS Genet. 2014;10(11):e1004787.

Article  PubMed  PubMed Central  Google Scholar 

Andreassen OA, Thompson WK, Schork AJ, Ripke S, Mattingsdal M, Kelsoe JR, Kendler KS, O'Donovan MC, Rujescu D, Werge T, Sklar P, Psychiatric Genomics C, Bipolar D, Schizophrenia Working G, Roddey JC, Chen CH, McEvoy L, Desikan RS, Djurovic S, Dale AM. Improved detection of common variants associated with schizophrenia and bipolar disorder using pleiotropy-informed conditional false discovery rate [J]. PLoS Genet. 2013;9(4):e1003455.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Andreassen OA, McEvoy LK, Thompson WK, Wang Y, Reppe S, Schork AJ, Zuber V, Barrett-Connor E, Gautvik K, Aukrust P, Karlsen TH, Djurovic S, Desikan RS, Dale AM. G. F. f. O. C. International consortium for blood pressure genome-wide association studies, identifying common genetic variants in blood pressure due to polygenic pleiotropy with associated phenotypes [J]. Hypertension. 2014;63(4):819–26.

Article  CAS  PubMed  Google Scholar 

Stearns FW. One hundred years of pleiotropy: a retrospective [J]. Genetics. 2010;186(3):767–73.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Consortium C-DG. o. t. P. G., Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis [J]. Lancet. 2013;381(9875):1371–9.

Article  Google Scholar 

Liley J, Wallace C. A pleiotropy-informed Bayesian false discovery rate adapted to a shared control design finds new disease associations from GWAS summary statistics [J]. PLoS Genet. 2015;11(2):e1004926.

Article  PubMed  PubMed Central  Google Scholar 

Johnston KJA, Adams MJ, Nicholl BI, Ward J, Strawbridge RJ, McIntosh AM, Smith DJ, Bailey MES. Identification of novel common variants associated with chronic pain using conditional false discovery rate analysis with major depressive disorder and assessment of pleiotropic effects of LRFN5 [J]. Transl Psychiatry. 2019;9(1):310.

Article  PubMed  PubMed Central  Google Scholar 

Shadrin AA, Smeland OB, Zayats T, Schork AJ, Frei O, Bettella F, Witoelar A, Li W, Eriksen JA, Krull F, Djurovic S, Faraone SV, Reichborn-Kjennerud T, Thompson WK, Johansson S, Haavik J, Dale AM, Wang Y, Andreassen OA. Novel Loci associated with attention-deficit/hyperactivity disorder are revealed by leveraging polygenic overlap with educational attainment [J]. J Am Acad Child Adolesc Psychiatry. 2018;57(2):86–95.

Article  PubMed  Google Scholar 

Hu Y, Tan LJ, Chen XD, Liu Z, Min SS, Zeng Q, Shen H, Deng HW. Identification of novel potentially pleiotropic variants associated with osteoporosis and obesity using the cFDR Method [J]. J Clin Endocrinol Metab. 2018;103(1):125–38.

Article  PubMed  Google Scholar 

Hu Y, Tan LJ, Chen XD, Greenbaum J, Deng HW. Identification of novel variants associated with osteoporosis, type 2 diabetes and potentially pleiotropic loci using pleiotropic cFDR method [J]. Bone. 2018;117:6–14.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang Q, Wu KH, He JY, Zeng Y, Greenbaum J, Xia X, Liu HM, Lv WQ, Lin X, Zhang WD, Xi YL, Shi XZ, Sun CQ, Deng HW. Novel common variants associated with obesity and type 2 diabetes detected using a cFDR method [J]. Sci Rep. 2017;7(1):16397.

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