Literature DB >> 17947991

Designing candidate gene and genome-wide case-control association studies.

Krina T Zondervan1, Lon R Cardon.   

Abstract

This protocol describes how to appropriately design a genetic association case-control study, either focusing on a candidate gene (CG) or region or implementing a genome-wide approach. The steps described involve: (i) defining the case phenotype in adequate detail; (ii) checking the heritability of the disease in question; (iii) considering whether a population-based study is the appropriate design for the research question; (iv) the appropriate selection of controls; (v) sample size calculations and (vi) giving due consideration to whether it is a de novo or replication study. General guidelines are given, as well as specific examples of a CG and a genome-wide association study into type 2 diabetes. Software and websites used in this protocol include the International HapMap Consortium website, Genetic Power Calculator, CaT, and SNPSpD. Running each of the programs takes only a few seconds; the rate-limiting steps involve thinking through the designs and parameters in the disease models.

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Year:  2007        PMID: 17947991      PMCID: PMC4180089          DOI: 10.1038/nprot.2007.366

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  42 in total

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2.  Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits.

Authors:  S Purcell; S S Cherny; P C Sham
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4.  A haplotype map of the human genome.

Authors: 
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5.  Centralizing the non-central chi-square: A new method to correct for population stratification in genetic case-control association studies.

Authors:  Prakash Gorroochurn; Gary A Heiman; Susan E Hodge; David A Greenberg
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6.  Upward bias in odds ratio estimates from genome-wide association studies.

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7.  A genome-wide association study identifies IL23R as an inflammatory bowel disease gene.

Authors:  Richard H Duerr; Kent D Taylor; Steven R Brant; John D Rioux; Mark S Silverberg; Mark J Daly; A Hillary Steinhart; Clara Abraham; Miguel Regueiro; Anne Griffiths; Themistocles Dassopoulos; Alain Bitton; Huiying Yang; Stephan Targan; Lisa Wu Datta; Emily O Kistner; L Philip Schumm; Annette T Lee; Peter K Gregersen; M Michael Barmada; Jerome I Rotter; Dan L Nicolae; Judy H Cho
Journal:  Science       Date:  2006-10-26       Impact factor: 47.728

8.  Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes.

Authors:  Struan F A Grant; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Andrei Manolescu; Jesus Sainz; Agnar Helgason; Hreinn Stefansson; Valur Emilsson; Anna Helgadottir; Unnur Styrkarsdottir; Kristinn P Magnusson; G Bragi Walters; Ebba Palsdottir; Thorbjorg Jonsdottir; Thorunn Gudmundsdottir; Arnaldur Gylfason; Jona Saemundsdottir; Robert L Wilensky; Muredach P Reilly; Daniel J Rader; Yu Bagger; Claus Christiansen; Vilmundur Gudnason; Gunnar Sigurdsson; Unnur Thorsteinsdottir; Jeffrey R Gulcher; Augustine Kong; Kari Stefansson
Journal:  Nat Genet       Date:  2006-01-15       Impact factor: 38.330

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Authors:  P Poulsen; K O Kyvik; A Vaag; H Beck-Nielsen
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Review 10.  A comprehensive review of genetic association studies.

Authors:  Joel N Hirschhorn; Kirk Lohmueller; Edward Byrne; Kurt Hirschhorn
Journal:  Genet Med       Date:  2002 Mar-Apr       Impact factor: 8.822

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  62 in total

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6.  Estimating odds ratios in genome scans: an approximate conditional likelihood approach.

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7.  Association of gene variants with susceptibility to type 2 diabetes among Omanis.

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10.  Association and haplotype analyses of positional candidate genes in five genomic regions linked to scrotal hernia in commercial pig lines.

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