Literature DB >> 20454541

Replication in genome-wide association studies.

Peter Kraft1, Eleftheria Zeggini, John P A Ioannidis.   

Abstract

Replication helps ensure that a genotype-phenotype association observed in a genome-wide association (GWA) study represents a credible association and is not a chance finding or an artifact due to uncontrolled biases. We discuss prerequisites for exact replication; issues of heterogeneity; advantages and disadvantages of different methods of data synthesis across multiple studies; frequentist vs. Bayesian inferences for replication; and challenges that arise from multi-team collaborations. While consistent replication can greatly improve the credibility of a genotype-phenotype association, it may not eliminate spurious associations due to biases shared by many studies. Conversely, lack of replication in well-powered follow-up studies usually invalidates the initially proposed association, although occasionally it may point to differences in linkage disequilibrium or effect modifiers across studies.

Entities:  

Year:  2009        PMID: 20454541      PMCID: PMC2865141          DOI: 10.1214/09-STS290

Source DB:  PubMed          Journal:  Stat Sci        ISSN: 0883-4237            Impact factor:   2.901


  71 in total

1.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

2.  Genetic model testing and statistical power in population-based association studies of quantitative traits.

Authors:  Guillaume Lettre; Christoph Lange; Joel N Hirschhorn
Journal:  Genet Epidemiol       Date:  2007-05       Impact factor: 2.135

Review 3.  Uncertainty in heterogeneity estimates in meta-analyses.

Authors:  John P A Ioannidis; Nikolaos A Patsopoulos; Evangelos Evangelou
Journal:  BMJ       Date:  2007-11-03

4.  The exact distribution of Cochran's heterogeneity statistic in one-way random effects meta-analysis.

Authors:  Brad J Biggerstaff; Dan Jackson
Journal:  Stat Med       Date:  2008-12-20       Impact factor: 2.373

5.  Analysis of high-resolution HapMap of DTNBP1 (Dysbindin) suggests no consistency between reported common variant associations and schizophrenia.

Authors:  Mousumi Mutsuddi; Derek W Morris; Skye G Waggoner; Mark J Daly; Edward M Scolnick; Pamela Sklar
Journal:  Am J Hum Genet       Date:  2006-10-03       Impact factor: 11.025

6.  Genotype-based matching to correct for population stratification in large-scale case-control genetic association studies.

Authors:  Weihua Guan; Liming Liang; Michael Boehnke; Gonçalo R Abecasis
Journal:  Genet Epidemiol       Date:  2009-09       Impact factor: 2.135

7.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

8.  Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci.

Authors:  Jason D Cooper; Deborah J Smyth; Adam M Smiles; Vincent Plagnol; Neil M Walker; James E Allen; Kate Downes; Jeffrey C Barrett; Barry C Healy; Josyf C Mychaleckyj; James H Warram; John A Todd
Journal:  Nat Genet       Date:  2008-11-02       Impact factor: 38.330

9.  Variation within the gene encoding the upstream stimulatory factor 1 does not influence susceptibility to type 2 diabetes in samples from populations with replicated evidence of linkage to chromosome 1q.

Authors:  Eleftheria Zeggini; Coleen M Damcott; Robert L Hanson; Mohammad A Karim; N William Rayner; Christopher J Groves; Leslie J Baier; Terri C Hale; Andrew T Hattersley; Graham A Hitman; Sarah E Hunt; William C Knowler; Braxton D Mitchell; Maggie C Y Ng; Jeffrey R O'Connell; Toni I Pollin; Martine Vaxillaire; Mark Walker; Xiaoqin Wang; Pamela Whittaker; Kunsan Xiang; Xiang Kunsun; Weiping Jia; Juliana C N Chan; Philippe Froguel; Panos Deloukas; Alan R Shuldiner; Steven C Elbein; Mark I McCarthy
Journal:  Diabetes       Date:  2006-09       Impact factor: 9.461

10.  A genome-wide association study identifies novel alleles associated with hair color and skin pigmentation.

Authors:  Jiali Han; Peter Kraft; Hongmei Nan; Qun Guo; Constance Chen; Abrar Qureshi; Susan E Hankinson; Frank B Hu; David L Duffy; Zhen Zhen Zhao; Nicholas G Martin; Grant W Montgomery; Nicholas K Hayward; Gilles Thomas; Robert N Hoover; Stephen Chanock; David J Hunter
Journal:  PLoS Genet       Date:  2008-05-16       Impact factor: 5.917

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  107 in total

Review 1.  Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges.

Authors:  Arpana Agrawal; Neal D Freedman; Yu-Ching Cheng; Peng Lin; John R Shaffer; Qi Sun; Kira Taylor; Brian Yaspan; John W Cole; Marilyn C Cornelis; Rebecca S DeSensi; Annette Fitzpatrick; Gerardo Heiss; Jae H Kang; Jeffrey O'Connell; Siiri Bennett; Ebony Bookman; Kathleen K Bucholz; Neil Caporaso; Richard Crout; Danielle M Dick; Howard J Edenberg; Alison Goate; Victor Hesselbrock; Steven Kittner; John Kramer; John I Nurnberger; Lu Qi; John P Rice; Marc Schuckit; Rob M van Dam; Eric Boerwinkle; Frank Hu; Steven Levy; Mary Marazita; Braxton D Mitchell; Louis R Pasquale; Laura J Bierut
Journal:  Am J Clin Nutr       Date:  2012-02-01       Impact factor: 7.045

2.  Mitochondrial DNA variants and pulmonary function in older persons.

Authors:  Carlos A Vaz Fragoso; Todd M Manini; John A Kairalla; Thomas W Buford; Fang-Chi Hsu; Thomas M Gill; Stephen B Kritchevsky; Mary M McDermott; Jason L Sanders; Steven R Cummings; Gregory J Tranah
Journal:  Exp Gerontol       Date:  2018-12-01       Impact factor: 4.032

Review 3.  DNA methylation correlates of PTSD: Recent findings and technical challenges.

Authors:  Filomene G Morrison; Mark W Miller; Mark W Logue; Michele Assef; Erika J Wolf
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2018-11-30       Impact factor: 5.067

4.  Phenotype harmonization and cross-study collaboration in GWAS consortia: the GENEVA experience.

Authors:  Siiri N Bennett; Neil Caporaso; Annette L Fitzpatrick; Arpana Agrawal; Kathleen Barnes; Heather A Boyd; Marilyn C Cornelis; Nadia N Hansel; Gerardo Heiss; John A Heit; Jae Hee Kang; Steven J Kittner; Peter Kraft; William Lowe; Mary L Marazita; Kristine R Monroe; Louis R Pasquale; Erin M Ramos; Rob M van Dam; Jenna Udren; Kayleen Williams
Journal:  Genet Epidemiol       Date:  2011-01-31       Impact factor: 2.135

5.  Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.

Authors:  Carolyn M Hutter; Leah E Mechanic; Nilanjan Chatterjee; Peter Kraft; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2013-10-05       Impact factor: 2.135

6.  Genetic variants demonstrating flip-flop phenomenon and breast cancer risk prediction among women of African ancestry.

Authors:  Shengfeng Wang; Frank Qian; Yonglan Zheng; Temidayo Ogundiran; Oladosu Ojengbede; Wei Zheng; William Blot; Katherine L Nathanson; Anselm Hennis; Barbara Nemesure; Stefan Ambs; Olufunmilayo I Olopade; Dezheng Huo
Journal:  Breast Cancer Res Treat       Date:  2018-01-04       Impact factor: 4.872

7.  GATES: a rapid and powerful gene-based association test using extended Simes procedure.

Authors:  Miao-Xin Li; Hong-Sheng Gui; Johnny S H Kwan; Pak C Sham
Journal:  Am J Hum Genet       Date:  2011-03-11       Impact factor: 11.025

8.  DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies.

Authors:  Bettina Mieth; Alexandre Rozier; Juan Antonio Rodriguez; Marina M C Höhne; Nico Görnitz; Klaus-Robert Müller
Journal:  NAR Genom Bioinform       Date:  2021-07-20

9.  Effects of a GWAS-Supported Schizophrenia Variant in the DRD2 Locus on Disease Risk, Anhedonia, and Prefrontal Cortical Thickness.

Authors:  Margarita V Alfimova; Nikolay V Kondratyev; Alexander S Tomyshev; Irina S Lebedeva; Tatyana V Lezheiko; Vasiliy G Kaleda; Lilia I Abramova; Vera E Golimbet
Journal:  J Mol Neurosci       Date:  2019-05-03       Impact factor: 3.444

10.  A machine learning pipeline for quantitative phenotype prediction from genotype data.

Authors:  Giorgio Guzzetta; Giuseppe Jurman; Cesare Furlanello
Journal:  BMC Bioinformatics       Date:  2010-10-26       Impact factor: 3.169

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