Literature DB >> 12439524

The design, execution, and interpretation of genetic association studies to decipher complex diseases.

Roberto Romero1, Helena Kuivaniemi, Gerard Tromp, Jane Olson.   

Abstract

Genetic association studies are becoming increasingly frequent in the obstetric and gynecologic literature and they are considered central to the deciphering of the genetic basis of complex disease. The purpose, design, execution, analysis, and interpretation of genetic association studies in reproduction are discussed. Frequently used terms are defined (eg, genotype, haplotype, polymorphism, single nucleotide polymorphism, linkage disequilibrium). Guidelines are proposed for the evaluation of reports of genetic association studies (including selection of polymorphisms for study, study design, assay characteristics, sample size, multiple testing, and multivariable analysis). The potential value of this type of investigation in elucidating the mechanisms of disease in reproduction is illustrated.

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Year:  2002        PMID: 12439524     DOI: 10.1067/mob.2002.128319

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  25 in total

1.  The maternal plasma proteome changes as a function of gestational age in normal pregnancy: a longitudinal study.

Authors:  Roberto Romero; Offer Erez; Eli Maymon; Piya Chaemsaithong; Zhonghui Xu; Percy Pacora; Tinnakorn Chaiworapongsa; Bogdan Done; Sonia S Hassan; Adi L Tarca
Journal:  Am J Obstet Gynecol       Date:  2017-03-03       Impact factor: 8.661

2.  Identification of fetal and maternal single nucleotide polymorphisms in candidate genes that predispose to spontaneous preterm labor with intact membranes.

Authors:  Roberto Romero; Digna R Velez Edwards; Juan Pedro Kusanovic; Sonia S Hassan; Shali Mazaki-Tovi; Edi Vaisbuch; Chong Jai Kim; Tinnakorn Chaiworapongsa; Brad D Pearce; Lara A Friel; Jacquelaine Bartlett; Madan Kumar Anant; Benjamin A Salisbury; Gerald F Vovis; Min Seob Lee; Ricardo Gomez; Ernesto Behnke; Enrique Oyarzun; Gerard Tromp; Scott M Williams; Ramkumar Menon
Journal:  Am J Obstet Gynecol       Date:  2010-05       Impact factor: 8.661

Review 3.  Genes and human elite athletic performance.

Authors:  Daniel G Macarthur; Kathryn N North
Journal:  Hum Genet       Date:  2005-02-22       Impact factor: 4.132

Review 4.  Reliability of statistical associations between genes and disease.

Authors:  Kenneth F Manly
Journal:  Immunogenetics       Date:  2005-09-29       Impact factor: 2.846

Review 5.  The integration of genomics into obstetrics and gynecology: a HuGE challenge.

Authors:  Muin J Khoury; Roberto Romero
Journal:  Am J Obstet Gynecol       Date:  2006-12       Impact factor: 8.661

Review 6.  The use of high-dimensional biology (genomics, transcriptomics, proteomics, and metabolomics) to understand the preterm parturition syndrome.

Authors:  R Romero; J Espinoza; F Gotsch; J P Kusanovic; L A Friel; O Erez; S Mazaki-Tovi; N G Than; S Hassan; G Tromp
Journal:  BJOG       Date:  2006-12       Impact factor: 6.531

Review 7.  Molecular genetic studies of gene identification for osteoporosis: a 2004 update.

Authors:  Yong-Jun Liu; Hui Shen; Peng Xiao; Dong-Hai Xiong; Li-Hua Li; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2006-10       Impact factor: 6.741

8.  More on race, genes and preterm delivery...and the environment.

Authors:  Anne Lang Dunlop
Journal:  J Natl Med Assoc       Date:  2006-01       Impact factor: 1.798

9.  Preeclampsia risk and angiotensinogen polymorphisms M235T and AGT -217 in African American and Caucasian women.

Authors:  Laura D Jenkins; Robert W Powers; Mary Cooper; Marcia J Gallaher; Nina Markovic; Robert Ferrell; Roberta B Ness; James M Roberts
Journal:  Reprod Sci       Date:  2008-06-18       Impact factor: 3.060

10.  Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement.

Authors:  Julian Little; Julian P T Higgins; John P A Ioannidis; David Moher; France Gagnon; Erik von Elm; Muin J Khoury; Barbara Cohen; George Davey-Smith; Jeremy Grimshaw; Paul Scheet; Marta Gwinn; Robin E Williamson; Guang Yong Zou; Kim Hutchings; Candice Y Johnson; Valerie Tait; Miriam Wiens; Jean Golding; Cornelia van Duijn; John McLaughlin; Andrew Paterson; George Wells; Isabel Fortier; Matthew Freedman; Maja Zecevic; Richard King; Claire Infante-Rivard; Alex Stewart; Nick Birkett
Journal:  Hum Genet       Date:  2009-02-01       Impact factor: 4.132

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