Sample size requirements for association studies of gene-gene interaction

被引:511
|
作者
Gauderman, WJ [1 ]
机构
[1] Univ So Calif, Sch Med, Dept Prevent Med, Los Angeles, CA 90089 USA
关键词
association; case-control studies; genetics; interaction; research design; sample size;
D O I
10.1093/aje/155.5.478
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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).
引用
收藏
页码:478 / 484
页数:7
相关论文
共 50 条
  • [1] Sample size calculations for association studies of gene-gene interaction.
    Gauderman, WJ
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2001, 69 (04) : 401 - 401
  • [2] Sample size needed to detect gene-gene interactions using association designs
    Wang, S
    Zhao, HY
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2003, 158 (09) : 899 - 914
  • [3] Robust Gene-Gene Interaction Analysis in Genome Wide Association Studies
    Kim, Yongkang
    Park, Taesung
    [J]. PLOS ONE, 2015, 10 (08):
  • [4] Entropy Based Genetic Association And Gene-Gene Interaction Tests
    Wang, Xin
    de Andrade, Mariza
    [J]. GENETIC EPIDEMIOLOGY, 2012, 36 (02) : 141 - 141
  • [5] Sample size requirements for matched case-control studies of gene-environment interaction
    Gauderman, WJ
    [J]. STATISTICS IN MEDICINE, 2002, 21 (01) : 35 - 50
  • [6] An efficient gene-gene interaction test for genome-wide association studies in trio families
    Sung, Pei-Yuan
    Wang, Yi-Ting
    Yu, Ya-Wen
    Chung, Ren-Hua
    [J]. BIOINFORMATICS, 2016, 32 (12) : 1848 - 1855
  • [7] On a Test for Gene-gene Interaction
    Mukhopadhyay, Indranil
    Majumder, Abhishek Pal
    Majumder, Partha Pratim
    [J]. GENETIC EPIDEMIOLOGY, 2010, 34 (08) : 932 - 933
  • [8] A New Correction for Multiple Testing in Gene-Gene Interaction Studies
    Babron, Marie-Claude
    Etcheto, Adrien
    Dizier, Marie-Helene
    [J]. ANNALS OF HUMAN GENETICS, 2015, 79 (05) : 380 - 384
  • [9] Neural networks for modeling gene-gene interactions in association studies
    Guenther, Frauke
    Wawro, Nina
    Bammann, Karin
    [J]. BMC GENETICS, 2009, 10
  • [10] Neural networks for modeling gene-gene interactions in association studies
    Frauke Günther
    Nina Wawro
    Karin Bammann
    [J]. BMC Genetics, 10