Gene-environment interactions for complex traits:: definitions, methodological requirements and challenges

被引:128
作者
Dempfle, Astrid [1 ]
Scherag, Andre [1 ]
Hein, Rebecca [2 ]
Beckmann, Lars [2 ]
Chang-Claude, Jenny [2 ]
Schaefer, Helmut [1 ]
机构
[1] Univ Marburg, Inst Med Biometry & Epidemiol, D-35037 Marburg, Germany
[2] German Canc Res Ctr, Div Canc Epidemiol, Unit Genet Epidemiol, D-6900 Heidelberg, Germany
关键词
effect modification; genetic association; pharmacogenetics; interaction;
D O I
10.1038/ejhg.2008.106
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Genetic and environmental risk factors and their interactions contribute to the development of complex diseases. In this review, we discuss methodological issues involved in investigating gene-environment (G x E) interactions in genetic-epidemiological studies of complex diseases and their potential relevance for clinical application. Although there are some important examples of interactions and applications, the widespread use of the knowledge about G x E interaction for targeted intervention or personalized treatment (pharmacogenetics) is still beyond current means. This is due to the fact that convincing evidence and high predictive or discriminative power are necessary conditions for usefulness in clinical practice. We attempt to clarify conceptual differences of the term 'interaction' in the statistical and biological sciences, since precise definitions are important for the interpretation of results. We argue that the investigation of G x E interactions is more rewarding for the detailed characterization of identified disease genes (ie at advanced stages of genetic research) and the stratified analysis of environmental effects by genotype or vice versa. Advantages and disadvantages of different epidemiological study designs are given and sample size requirements are exemplified. These issues as well as a critical appraisal of common methodological concerns are finally discussed.
引用
收藏
页码:1164 / 1172
页数:9
相关论文
共 64 条
[1]   Genetic epidemiology of infectious diseases in humans: Design of population-based studies [J].
Abel, L ;
Dessein, AJ .
EMERGING INFECTIOUS DISEASES, 1998, 4 (04) :593-603
[2]   Study of genes and environmental factors in complex diseases [J].
Banks, E ;
Meade, T .
LANCET, 2002, 359 (9312) :1156-1157
[3]   Gene-environment interaction and aetiology of cancer: what does it mean and how can we measure it? [J].
Brennan, P .
CARCINOGENESIS, 2002, 23 (03) :381-387
[4]   IATROGENIC CREUTZFELDT-JAKOB-DISEASE - AN EXAMPLE OF THE INTERPLAY BETWEEN ANCIENT GENES AND MODERN MEDICINE [J].
BROWN, P ;
CERVENAKOVA, L ;
GOLDFARB, LG ;
MCCOMBIE, WR ;
RUBENSTEIN, R ;
WILL, RG ;
POCCHIARI, M ;
MARTINEZLAGE, JF ;
SCALICI, C ;
MASULLO, C ;
GRAUPERA, G ;
LIGAN, J ;
GAJDUSEK, DC .
NEUROLOGY, 1994, 44 (02) :291-293
[5]  
Burton P, 2002, LANCET, V359, P1155, DOI 10.1016/S0140-6736(02)08138-2
[6]   Testing drug response in the presence of genetic information: sampling issues for clinical trials [J].
Cardon, LR ;
Idury, RM ;
Harris, TJR ;
Witte, JS ;
Elston, RC .
PHARMACOGENETICS, 2000, 10 (06) :503-510
[7]   Exploiting gene-environment independence in family-based case-control studies: Increased power for detecting associations, interactions and joint effects [J].
Chatterjee, N ;
Kalaylioglu, Z ;
Carroll, RJ .
GENETIC EPIDEMIOLOGY, 2005, 28 (02) :138-156
[8]   Epidemiological methods for studying genes and environmental factors in complex diseases [J].
Clayton, D ;
McKeigue, PM .
LANCET, 2001, 358 (9290) :1356-1360
[9]   Genetic susceptibility to infectious diseases [J].
Clementi, M ;
Di Gianantonio, E .
REPRODUCTIVE TOXICOLOGY, 2006, 21 (04) :345-349
[10]   Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans [J].
Cordell, HJ .
HUMAN MOLECULAR GENETICS, 2002, 11 (20) :2463-2468