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Title:

The power of gene-based rare variant methods to detect disease-associated variation and test hypotheses about complex disease.

Document type:
Zeitschriftenaufsatz
Author(s):
Moutsianas, L. ; Agarwala, V. ; Fuchsberger, C. ; Flannick, J. ; Rivas, M.A. ; Gaulton, K.J. ; Albers, P.K. ; GoT2D Consortium (McCarthy, M.I. ; Gieger, C. ; Grallert, H. ; Hrabé de Angelis, M. ; Huth, C. ; Kriebel, J. ; Meisinger, C. ; Meitinger, T. ; Müller-Nurasyid, M. ; Peters, A. ; Ried, J.S. ; Strauch, K. ; Strom, T.M.) ; McVean, G. ; Boehnke, M. ; Altshuler, D.
Keywords:
Genetics and Epidemiology
Journal title:
PLoS Genet.
Year:
2015
Journal volume:
11
Fulltext / DOI:
doi:10.1371/journal.pgen.1005165
E-ISSN:
1553-7390
Impact Factor:
7,528
Notes:
Research Programmes: Genes and Environment in Common Diseases
TUM Institution:
Institute of Experimental Genetics (IEG) ; Institute of Epidemiology II (EPI2) ; Institute of Human Genetics (IHG) ; Institute of Genetic Epidemiology (IGE)
CC license:
by, http://creativecommons.org/licenses/by/4.0
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