A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits.

Saved in:
Bibliographic Details
Title: A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits.
Authors: Bhattacharjee S; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, 6120 Executive Boulevard, Rockville, MD 20852, USA., Rajaraman P, Jacobs KB, Wheeler WA, Melin BS, Hartge P, Yeager M, Chung CC, Chanock SJ, Chatterjee N
Corporate Authors: GliomaScan Consortium
Source: American journal of human genetics [Am J Hum Genet] 2012 May 04; Vol. 90 (5), pp. 821-35.
Publication Type: Journal Article; Meta-Analysis; Research Support, N.I.H., Intramural
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 0370475 Publication Model: Print Cited Medium: Internet ISSN: 1537-6605 (Electronic) Linking ISSN: 00029297 NLM ISO Abbreviation: Am J Hum Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1537-6605
DOI:10.1016/j.ajhg.2012.03.015