000 | 03767nam a22005417a 4500 | ||
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008 | 160113s20152015 xxu||||| |||| 00| 0 eng d | ||
022 | _a0002-9378 | ||
040 | _aOvid MEDLINE(R) | ||
099 | _a26070700 | ||
245 | _aCluster analysis of spontaneous preterm birth phenotypes identifies potential associations among preterm birth mechanisms. | ||
251 | _aAmerican Journal of Obstetrics & Gynecology. 213(3):429.e1-9, 2015 Sep. | ||
252 | _aAm J Obstet Gynecol. 213(3):429.e1-9, 2015 Sep. | ||
253 | _aAmerican journal of obstetrics and gynecology | ||
260 | _c2015 | ||
260 | _fFY2016 | ||
266 | _d2016-01-13 | ||
501 | _aAvailable online from MWHC library: 1995 - present, Available in print through MWHC library: 1999 - 2006 | ||
520 | _aCONCLUSION: We identified 5 major clusters of SPTB based on a phenotype tool and hierarch clustering. There was significant correlation between several of the phenotypes. The INS gene was associated with familial factors that were underlying SPTB.Copyright � 2015 Elsevier Inc. All rights reserved. | ||
520 | _aOBJECTIVE: We sought to use an innovative tool that is based on common biologic pathways to identify specific phenotypes among women with spontaneous preterm birth (SPTB) to enhance investigators' ability to identify and to highlight common mechanisms and underlying genetic factors that are responsible for SPTB. | ||
520 | _aRESULTS: One thousand twenty-eight women with SPTB were assigned phenotypes. Hierarchic clustering of the phenotypes revealed 5 major clusters. Cluster 1 (n = 445) was characterized by maternal stress; cluster 2 (n = 294) was characterized by premature membrane rupture; cluster 3 (n = 120) was characterized by familial factors, and cluster 4 (n = 63) was characterized by maternal comorbidities. Cluster 5 (n = 106) was multifactorial and characterized by infection (INF), decidual hemorrhage (DH), and placental dysfunction (PD). These 3 phenotypes were correlated highly by chi(2) analysis (PD and DH, P < 2.2e-6; PD and INF, P = 6.2e-10; INF and DH, (P = .0036). Gene-based testing identified the INS (insulin) gene as significantly associated with cluster 3 of SPTB. | ||
520 | _aSTUDY DESIGN: We performed a secondary analysis of a prospective case-control multicenter study of SPTB. All cases delivered a preterm singleton at SPTB <34.0 weeks' gestation. Each woman was assessed for the presence of underlying SPTB causes. A hierarchic cluster analysis was used to identify groups of women with homogeneous phenotypic profiles. One of the phenotypic clusters was selected for candidate gene association analysis with the use of VEGAS software. | ||
546 | _aEnglish | ||
650 | _a*Phenotype | ||
650 | _a*Premature Birth/et [Etiology] | ||
650 | _aAdult | ||
650 | _aCase-Control Studies | ||
650 | _aCluster Analysis | ||
650 | _aFemale | ||
650 | _aGenetic Markers | ||
650 | _aGenotype | ||
650 | _aHumans | ||
650 | _aInsulin/ge [Genetics] | ||
650 | _aLogistic Models | ||
650 | _aPolymorphism, Single Nucleotide | ||
650 | _aPregnancy | ||
650 | _aPremature Birth/ge [Genetics] | ||
650 | _aProspective Studies | ||
650 | _aRisk Factors | ||
651 | _aMedStar Washington Hospital Center | ||
656 | _aObstetrics and Gynecology, Maternal-Fetal Medicine | ||
657 | _aJournal Article | ||
657 | _aMulticenter Study | ||
657 | _aResearch Support, N.I.H., Extramural | ||
700 | _aReddy, Uma M | ||
790 | _aAndrews W, Biggio J, Bukowski R, Christensen B, Esplin MS, Huang H, Ilekis J, Manuck TA, Parry S, Reddy UM, Saade G, Sadovsky Y, Varner MW, Zhang H | ||
856 |
_uhttp://dx.doi.org/10.1016/j.ajog.2015.06.011 _zhttp://dx.doi.org/10.1016/j.ajog.2015.06.011 |
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942 |
_cART _dArticle |
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999 |
_c1220 _d1220 |