The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases-Reference-Cited by-同舟云学术

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The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases

Published:2006-04-21 Issue:1 Volume:7 Page:
ISSN:1471-2156
Container-title:BMC Genetics
language:en
Short-container-title:BMC Genet

Author:

Heidema A Geert,Boer Jolanda MA,Nagelkerke Nico,Mariman Edwin CM,van der A Daphne L,Feskens Edith JM

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://link.springer.com/content/pdf/10.1186/1471-2156-7-23.pdf

Reference47 articles.

1. Culverhouse R, Suarez BK, Lin J, Reich T: A perspective on epistasis: limits of models displaying no main effect. Am J Hum Genet. 2002, 70: 416-471. 10.1086/338759.

2. Moore JH, Williams SM: Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. BioEssays. 2005, 27: 637-646. 10.1002/bies.20236.

3. Hoh J, Ott J: Mathematical multi-locus approaches to localizing complex human trait genes. Nat Rev Genet. 2003, 4: 701-709. 10.1038/nrg1155.

4. Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I: Controlling the false discovery rate in behavior genetics research. Behav Brain Res. 2001, 125: 279-284. 10.1016/S0166-4328(01)00297-2.

5. Bellman R: Adaptive Control Processes. 1961, Princeton NJ: Princeton University Press

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