Curses-winner's and otherwise-in genetic epidemiology

被引:168
作者
Kraft, Peter [1 ,2 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[2] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
关键词
D O I
10.1097/EDE.0b013e318181b865
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The estimated effect of a marker allele front the initial study reporting the mnarker-allele association is often exaggerated relative to the estimated effect in follow-up Studies (the "winner's Curse" phenomenon). This is a particular concern for genome-wide association Studies, where markers typically must pass very stringent significance thresholds to be selected for replication. A related problem is the overestimation of the predictive predictive accuracy that occurs when the same data set is used to Select a multilocus risk model from a wide range of possible models and then estimate the accuracy of the final model ("over-fitting"). Even in the absence of these quantitative biases, researchers can over-state the qualitative importance of their findings-for example, by focusing oil relative risks ill a context where sensitivity and specificity may be more appropriate measures. Epidemiologists need to be aware of these potential problems: as authors, to avoid or minimize them, and as readers, to detect them.
引用
收藏
页码:649 / 651
页数:3
相关论文
共 36 条
[31]   When can a risk factor be used as a worthwhile screening test? [J].
Wald, NJ ;
Hackshaw, AK ;
Frost, CD .
BMJ-BRITISH MEDICAL JOURNAL, 1999, 319 (7224) :1562-1565
[32]   Statistics and medicine - The limitations of risk factors as prognostic tools [J].
Ware, James H. .
NEW ENGLAND JOURNAL OF MEDICINE, 2006, 355 (25) :2615-2617
[33]   Multiple prostate cancer risk variants on 8q24 [J].
Witte, John S. .
NATURE GENETICS, 2007, 39 (05) :579-580
[34]   Flexible design for following up positive findings [J].
Yu, Kai ;
Chatterjee, Nilanjan ;
Wheeler, William ;
Li, Qizhai ;
Wang, Sophia ;
Rothman, Nathaniel ;
Wacholder, Sholom .
AMERICAN JOURNAL OF HUMAN GENETICS, 2007, 81 (03) :540-551
[35]   Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes [J].
Zeggini, Eleftheria ;
Scott, Laura J. ;
Saxena, Richa ;
Voight, Benjamin F. ;
Marchini, Jonathan L. ;
Hu, Tianle ;
de Bakker, Paul I. W. ;
Abecasis, Goncalo R. ;
Almgren, Peter ;
Andersen, Gitte ;
Ardlie, Kristin ;
Bostroem, Kristina Bengtsson ;
Bergman, Richard N. ;
Bonnycastle, Lori L. ;
Borch-Johnsen, Knut ;
Burtt, Noel P. ;
Chen, Hong ;
Chines, Peter S. ;
Daly, Mark J. ;
Deodhar, Parimal ;
Ding, Chia-Jen ;
Doney, Alex S. F. ;
Duren, William L. ;
Elliott, Katherine S. ;
Erdos, Michael R. ;
Frayling, Timothy M. ;
Freathy, Rachel M. ;
Gianniny, Lauren ;
Grallert, Harald ;
Grarup, Niels ;
Groves, Christopher J. ;
Guiducci, Candace ;
Hansen, Torben ;
Herder, Christian ;
Hitman, Graham A. ;
Hughes, Thomas E. ;
Isomaa, Bo ;
Jackson, Anne U. ;
Jorgensen, Torben ;
Kong, Augustine ;
Kubalanza, Kari ;
Kuruvilla, Finny G. ;
Kuusisto, Johanna ;
Langenberg, Claudia ;
Lango, Hana ;
Lauritzen, Torsten ;
Li, Yun ;
Lindgren, Cecilia M. ;
Lyssenko, Valeriya ;
Marvelle, Amanda F. .
NATURE GENETICS, 2008, 40 (05) :638-645
[36]  
ZHONG H, 2008, BIOSTATISTICS 0228