False discoveries and models for gene discovery

Trends in Genetics

Volumn 19, Issue 10, 2003, Pages 537-542

  Van Den Oord, Edwin J C G ^a   Sullivan, Patrick F ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA POLYMORPHISM; GENE LINKAGE GROUP; GENETIC ASSOCIATION; GENETIC MODEL; GENETIC RISK; GENOTYPE; GENOTYPE ENVIRONMENT INTERACTION; PRIORITY JOURNAL; PROTEIN VARIANT; REVIEW; SAMPLE SIZE; SEQUENCE ANALYSIS;

EID: 0141450364     PISSN: 01689525     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tig.2003.08.003     Document Type: Article

References (17)

1. Wright S. Evolution in Mendelian populations. Genetics. 16:1931;97-159.
2. Hirschhorn J.N., et al. A comprehensive review of genetic association studies. Genet. Med. 4:2002;45-61.
3. Lander E., Kruglyak L. Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results. Nat. Genet. 11:1995;241-247.
4. Freely associating. Nat. Genet. 22:1999;1-2.
5. Glazier A.M., et al. Finding genes that underlie complex traits. Science. 298:2002;2345-2349.
6. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. 57:1995;289-300.
7. Genovese C., Wasserman L. Operating characteristics and extensions of the FDR procedure. J R. Stat. Soc. 64:2002;499-517.
8. Allison D.B., Coffey C.S. Two-stage testing in microarray analysis: what is gained? J. Gerontol. A. Biol. Sci. Med. Sci. 57:2002;B189-B192.
9. Elston R.C., et al. Two-stage global search designs for linkage analysis using pairs of affected relatives. Genet. Epidemiol. 13:1996;535-558.
10. Satagopan J.M., et al. Two-stage designs for gene-disease association studies. Biometrics. 58:2002;163-170.
11. Zwick M., et al. An empirical estimate of the number of SNPs required for a whole genome association study. Am. J. Hum. Genet. 71:2002;219.
12. Kruglyak L. Prospects for whole-genome linkage disequilibrium mapping of common disease genes. Nat. Genet. 22:1999;139-144.
13. Van den Oord, E.J.C.G. and Sullivan, P. A framework for controlling false discovery rates and minimizing the amount of genotyping in the search for disease mutations. (in press) ( http://www.vipbg.vcu.edu/~edwin ).
14. Casci T. Web watch: free associations. Nat. Rev. Genet. 3:2002;904.
15. Tabor H.K. Candidate-gene approaches for studying complex genetic traits: practical considerations. Nat. Rev. Genet. 3:2002;391-397.
16. Efron B., et al. Empirical Bayes analysis of a microarray experiment. J. Am. Stat. Assoc. 96:2001;1151-1160.
17. Storey J.D. A direct approach to false discovery rates. J. R. Stat. Soc. 64:2002;479-498.