High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort

dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorCRESPO, Raiane P.
dc.contributor.authorROCHA, Thais P.
dc.contributor.authorMONTENEGRO, Luciana R.
dc.contributor.authorNISHI, Mirian Y.
dc.contributor.authorJORGE, Alexander A. L.
dc.contributor.authorMACIEL, Gustavo A. R.
dc.contributor.authorBARACAT, Edmund
dc.contributor.authorLATRONICO, Ana Claudia
dc.contributor.authorMENDONCA, Berenice B.
dc.contributor.authorGOMES, Larissa G.
dc.date.accessioned2022-08-12T17:03:35Z
dc.date.available2022-08-12T17:03:35Z
dc.date.issued2022
dc.description.abstractContext: Polycystic ovary syndrome (PCOS) etiology remains to be elucidated, but familial clustering and twin studies have shown a strong heritable component. Objective: The purpose of this study was to identify rare genetic variants that are associated with the etiology of PCOS in a preselected cohort. Methods: This prospective study was conducted among a selected group of women with PCOS. The study's inclusion criteria were patients with PCOS diagnosed by the Rotterdam criteria with the following phenotypes: severe insulin resistance (IR), normoandrogenic-normometabolic phenotype, adrenal hyperandrogenism, primary amenorrhea, and familial PCOS. Forty-five patients were studied by target sequencing, while 8 familial cases were studied by whole exome sequencing. Results: Patients were grouped according to the inclusion criteria with the following distribution: 22 (41.5%) with severe IR, 13 (24.5%) with adrenal hyperandrogenism, 7 (13.2%) with normoandrogenic phenotype, 3 (5.7%) with primary amenorrhea, and 8 (15.1%) familial cases. DNA sequencing analysis identified 1 pathogenic variant in LMNA, 3 likely pathogenic variants in INSR, PIK3R1, and DLK1, and 6 variants of uncertain significance level with interesting biologic rationale in 5 genes (LMNA, GATA4, NR5A1, BMP15, and FSHR). LMNA was the most prevalent affected gene in this cohort (3 variants). Conclusion: Several rare variants in genes related to IR were identified in women with PCOS. Although IR is a common feature of PCOS, patients with extreme or atypical phenotype should be carefully evaluated to rule out monogenic conditions.eng
dc.description.indexPubMedeng
dc.description.sponsorshipFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2019/27631-7, 2015/17350-0]
dc.description.sponsorshipCoordenacao de Aperfeicoamento de Pessoas de Nivel Superior (CAPES) [2014/1459789]
dc.description.sponsorshipConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [153237/2016-3]
dc.identifier.citationJOURNAL OF THE ENDOCRINE SOCIETY, v.6, n.9, 2022
dc.identifier.doi10.1210/jendso/bvac106
dc.identifier.eissn2472-1972
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/48268
dc.language.isoeng
dc.publisherENDOCRINE SOCeng
dc.relation.ispartofJournal of the Endocrine Society
dc.rightsopenAccesseng
dc.rights.holderCopyright ENDOCRINE SOCeng
dc.subjectpolycystic ovary syndromeeng
dc.subjectgeneticseng
dc.subjectinsulin resistanceeng
dc.subjecttarget sequencingeng
dc.subjectexome sequencingeng
dc.subject.othergenome-wide associationeng
dc.subject.othermutationseng
dc.subject.othervariantseng
dc.subject.othergeneeng
dc.subject.otherheritabilityeng
dc.subject.otherprevalenceeng
dc.subject.otherresistanceeng
dc.subject.otherreceptoreng
dc.subject.otherroleseng
dc.subject.otherwomeneng
dc.subject.wosEndocrinology & Metabolismeng
dc.titleHigh-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohorteng
dc.typearticleeng
dc.type.categoryoriginal articleeng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.citation.scopus3
hcfmusp.contributor.author-fmusphcRAIANE PINA CRESPO TEIXEIRA
hcfmusp.contributor.author-fmusphcTHAIS MACHADO PAGLIARO ROCHA
hcfmusp.contributor.author-fmusphcLUCIANA RIBEIRO MONTENEGRO
hcfmusp.contributor.author-fmusphcMIRIAN YUMIE NISHI
hcfmusp.contributor.author-fmusphcALEXANDER AUGUSTO DE LIMA JORGE
hcfmusp.contributor.author-fmusphcGUSTAVO ARANTES ROSA MACIEL
hcfmusp.contributor.author-fmusphcEDMUND CHADA BARACAT
hcfmusp.contributor.author-fmusphcANA CLAUDIA LATRONICO XAVIER
hcfmusp.contributor.author-fmusphcBERENICE BILHARINHO DE MENDONCA
hcfmusp.contributor.author-fmusphcLARISSA GARCIA GOMES
hcfmusp.description.issue9
hcfmusp.description.volume6
hcfmusp.origemWOS
hcfmusp.origem.pubmed35898701
hcfmusp.origem.scopus2-s2.0-85136242561
hcfmusp.origem.wosWOS:000830469400001
hcfmusp.publisher.cityWASHINGTONeng
hcfmusp.publisher.countryUSAeng
hcfmusp.relation.referenceAgrawal N, 2011, SCIENCE, V333, P1154, DOI 10.1126/science.1206923eng
hcfmusp.relation.referenceAzziz R, 2005, J CLIN ENDOCR METAB, V90, P4650, DOI 10.1210/jc.2005-0628eng
hcfmusp.relation.referenceAzziz R, 2016, NAT REV DIS PRIMERS, V2, DOI 10.1038/nrdp.2016.57eng
hcfmusp.relation.referenceBalen AH, 2003, HUM REPROD UPDATE, V9, P505, DOI 10.1093/humupd/dmg044eng
hcfmusp.relation.referenceBarrowman J, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032120eng
hcfmusp.relation.referenceBeck-Peccoz P, 2006, BEST PRACT RES CL EN, V20, P529, DOI 10.1016/j.beem.2006.11.001eng
hcfmusp.relation.referenceChambers AE, 2005, MOL CELL ENDOCRINOL, V241, P1, DOI 10.1016/j.mce.2005.06.007eng
hcfmusp.relation.referenceChen ZJ, 2011, NAT GENET, V43, P55, DOI 10.1038/ng.732eng
hcfmusp.relation.referenceCirulli ET, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14288-yeng
hcfmusp.relation.referenceCirulli ET, 2010, NAT REV GENET, V11, P415, DOI 10.1038/nrg2779eng
hcfmusp.relation.referenceDapas Matthew, 2022, Endocr Rev, DOI 10.1210/endrev/bnac001eng
hcfmusp.relation.referenceDapas M, 2019, J CLIN ENDOCR METAB, V104, P3835, DOI 10.1210/jc.2018-02496eng
hcfmusp.relation.referenceDauber A, 2017, J CLIN ENDOCR METAB, V102, P1557, DOI 10.1210/jc.2016-3677eng
hcfmusp.relation.referenceDay F, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007813eng
hcfmusp.relation.referencede Bruin C, 2016, HORM RES PAEDIAT, V86, P342, DOI 10.1159/000446476eng
hcfmusp.relation.referenceDi Pasquale E, 2006, J CLIN ENDOCR METAB, V91, P1976, DOI 10.1210/jc.2005-2650eng
hcfmusp.relation.referenceDUNAIF A, 1989, DIABETES, V38, P1165, DOI 10.2337/diabetes.38.9.1165eng
hcfmusp.relation.referenceDunaif A, 2016, J CLIN ENDOCR METAB, V101, P759, DOI 10.1210/jc.2015-3780eng
hcfmusp.relation.referenceEmerson LJ, 2009, BBA-MOL BASIS DIS, V1792, P810, DOI 10.1016/j.bbadis.2009.05.007eng
hcfmusp.relation.referenceGambineri A, 2018, NUCLEUS-PHILA, V9, P392, DOI 10.1080/19491034.2018.1509659eng
hcfmusp.relation.referenceGames LG, 2019, J CLIN ENDOCR METAB, V104, P2112, DOI 10.1210/jc.2018-02010eng
hcfmusp.relation.referenceGorsic LK, 2017, J CLIN ENDOCR METAB, V102, P2862, DOI 10.1210/jc.2017-00612eng
hcfmusp.relation.referenceGromoll J, 1996, MOL CELL ENDOCRINOL, V125, P177, DOI 10.1016/S0303-7207(96)03949-4eng
hcfmusp.relation.referenceHATCH R, 1981, AM J OBSTET GYNECOL, V140, P815, DOI 10.1016/0002-9378(81)90746-8eng
hcfmusp.relation.referenceHayes MG, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8502eng
hcfmusp.relation.referenceHuang-Doran I, 2016, JCI INSIGHT, V1, DOI 10.1172/jci.insight.88766eng
hcfmusp.relation.referenceKulshreshtha B, 2008, GYNECOL ENDOCRINOL, V24, P637, DOI 10.1080/09513590802342858eng
hcfmusp.relation.referenceLerario AM, 2020, CLINICS, V75, DOI 10.6061/clinics/2020/e1913eng
hcfmusp.relation.referenceLizneva D, 2016, FERTIL STERIL, V106, P6, DOI 10.1016/j.fertnstert.2016.05.003eng
hcfmusp.relation.referenceLourenco D, 2009, NEW ENGL J MED, V360, P1200, DOI 10.1056/NEJMoa0806228eng
hcfmusp.relation.referenceManolio TA, 2009, NATURE, V461, P747, DOI 10.1038/nature08494eng
hcfmusp.relation.referenceMeduri G, 2008, MOL CELL ENDOCRINOL, V282, P130, DOI 10.1016/j.mce.2007.11.027eng
hcfmusp.relation.referenceMILLER SA, 1988, NUCLEIC ACIDS RES, V16, P1215, DOI 10.1093/nar/16.3.1215eng
hcfmusp.relation.referenceMOLLER DE, 1994, DIABETES, V43, P247, DOI 10.2337/diabetes.43.2.247eng
hcfmusp.relation.referenceMoon YS, 2002, MOL CELL BIOL, V22, P5585, DOI 10.1128/MCB.22.15.5585-5592.2002eng
hcfmusp.relation.referenceNaslavsky MS, 2017, HUM MUTAT, V38, P751, DOI 10.1002/humu.23220eng
hcfmusp.relation.referencePersani L, 2014, HUM REPROD UPDATE, V20, P869, DOI 10.1093/humupd/dmu036eng
hcfmusp.relation.referenceRankin J, 2008, AM J MED GENET A, V146A, P1530, DOI 10.1002/ajmg.a.32331eng
hcfmusp.relation.referenceRichards S, 2015, GENET MED, V17, P405, DOI 10.1038/gim.2015.30eng
hcfmusp.relation.referenceRossetti R, 2009, HUM MUTAT, V30, P804, DOI 10.1002/humu.20961eng
hcfmusp.relation.referenceSchrade A, 2015, ENDOCRINOLOGY, V156, P1860, DOI 10.1210/en.2014-1931eng
hcfmusp.relation.referenceShi YY, 2012, NAT GENET, V44, P1020, DOI 10.1038/ng.2384eng
hcfmusp.relation.referenceSpeiser PW, 2018, J CLIN ENDOCR METAB, V103, P4043, DOI 10.1210/jc.2018-01865eng
hcfmusp.relation.referenceTremblay JJ, 2003, J STEROID BIOCHEM, V85, P291, DOI 10.1016/S0960-0760(03)00211-5eng
hcfmusp.relation.referenceVink JM, 2006, J CLIN ENDOCR METAB, V91, P2100, DOI 10.1210/jc.2005-1494eng
hcfmusp.relation.referenceZhang YF, 2020, AM J OBSTET GYNECOL, V223, DOI 10.1016/j.ajog.2020.04.004eng
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