Literature DB >> 11867360

Sample size requirements for association studies of gene-gene interaction.

W James Gauderman1.   

Abstract

In the study of complex diseases, it may be important to test hypotheses related to gene-gene (G x G) interaction. The success of such studies depends critically on obtaining adequate sample sizes. In this paper, the author investigates sample size requirements for studies of G x G interaction, focusing on four study designs: the matched-case-control design, the case-sibling design, the case-parent design, and the case-only design. All four designs provide an estimate of interaction on a multiplicative scale, which is used as a unifying theme in the comparison of sample size requirements. Across a variety of genetic models, the case-only and case-parent designs require fewer sampling units (cases and case-parent trios, respectively) than the case-control (pairs) or case-sibling (pairs) design. For example, the author describes an asthma study of two common recessive genes for which 270 matched case-control pairs would be required to detect a G x G interaction of moderate magnitude with 80% power. By comparison, the same study would require 319 case-sibling pairs but only 146 trios in the case-parent design or 116 cases in the case-only design. A software program that computes sample size for studies of G x G interaction and for studies of gene-environment (G x E) interaction is freely available (http://hydra.usc.edu/gxe).

Mesh:

Year:  2002        PMID: 11867360     DOI: 10.1093/aje/155.5.478

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  241 in total

1.  Surfactant protein-A (SP-A) selectively inhibits prostaglandin F2alpha (PGF2alpha) production in term decidua: implications for the onset of labor.

Authors:  Victoria V Snegovskikh; Vineet Bhandari; Jo Rae Wright; Serkalem Tadesse; Thomas Morgan; Colin Macneill; Nastaran Foyouzi; Joong Shin Park; Yuguang Wang; Errol R Norwitz
Journal:  J Clin Endocrinol Metab       Date:  2011-01-26       Impact factor: 5.958

2.  Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome.

Authors:  Duncan C Thomas; Juan Pablo Lewinger; Cassandra E Murcray; W James Gauderman
Journal:  Am J Epidemiol       Date:  2011-12-22       Impact factor: 4.897

3.  Outcome definitions and clinical predictors influence pharmacogenetic associations between HTR3A gene polymorphisms and response to clozapine in patients with schizophrenia.

Authors:  A P Rajkumar; B Poonkuzhali; A Kuruvilla; A Srivastava; M Jacob; K S Jacob
Journal:  Psychopharmacology (Berl)       Date:  2012-06-15       Impact factor: 4.530

4.  Efficient genome-wide association testing of gene-environment interaction in case-parent trios.

Authors:  W James Gauderman; Duncan C Thomas; Cassandra E Murcray; David Conti; Dalin Li; Juan Pablo Lewinger
Journal:  Am J Epidemiol       Date:  2010-06-11       Impact factor: 4.897

5.  Pseudosibship methods in the case-parents design.

Authors:  Zhaoxia Yu; Li Deng
Journal:  Stat Med       Date:  2011-09-23       Impact factor: 2.373

6.  Tests for compositional epistasis under single interaction-parameter models.

Authors:  Tyler J VanderWeele; Nan M Laird
Journal:  Ann Hum Genet       Date:  2010-08-20       Impact factor: 1.670

7.  A genome-wide association study on common SNPs and rare CNVs in anorexia nervosa.

Authors:  K Wang; H Zhang; C S Bloss; V Duvvuri; W Kaye; N J Schork; W Berrettini; H Hakonarson
Journal:  Mol Psychiatry       Date:  2010-11-16       Impact factor: 15.992

8.  Allowing for population stratification in case-only studies of gene-environment interaction, using genomic control.

Authors:  Pankaj Yadav; Sandra Freitag-Wolf; Wolfgang Lieb; Astrid Dempfle; Michael Krawczak
Journal:  Hum Genet       Date:  2015-08-22       Impact factor: 4.132

9.  A genome-wide case-only test for the detection of digenic inheritance in human exomes.

Authors:  Gaspard Kerner; Matthieu Bouaziz; Aurélie Cobat; Benedetta Bigio; Andrew T Timberlake; Jacinta Bustamante; Richard P Lifton; Jean-Laurent Casanova; Laurent Abel
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-27       Impact factor: 11.205

10.  Epistatic interaction between variations in the angiotensin I converting enzyme and angiotensin II type 1 receptor genes in relation to extent of coronary atherosclerosis.

Authors:  S Ye; S Dhillon; R Seear; L Dunleavey; L B Day; W Bannister; I N M Day; I Simpson
Journal:  Heart       Date:  2003-10       Impact factor: 5.994

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.