caa a22 4500 378925776 CHVBK 20180305123617.0 cr unu---uuuuu 161128e20040812xx s 000 0 eng 10.2202/1544-6115.1067 doi (NATIONALLICENCE)gruyter-10.2202/1544-6115.1067 A Family-Based Association Test for Repeatedly Measured Quantitative Traits Adjusting for Unknown Environmental and/or Polygenic Effects [Elektronische Daten] [Christoph Lange, Kristel van Steen, Toby Andrew, Helen Lyon, Dawn L DeMeo, Benjamin Raby, Amy Murphy, Edwin K Silverman, Alex MacGregor, Scott T Weiss, Nan M Laird] We propose a family-based association test, FBAT-PC, for studies with quantitative traits that are measured repeatedly. The traits may be influenced by partially or completely unknown factors that may vary for each measurement. Using generalized principal component analysis, FBAT-PC amplifies the genetic effects of each measurement by constructing an overall phenotype with maximal heritability. Analytically, and in the simulation studies, we compare FBAT-PC with standard methodology and assess both the heritability of the overall phenotype and the power of FBAT-PC. Compared to univariate analysis, FBAT-PC achieves power gains of up to 200%. Applications of FBAT-PC to an osteoporosis study and to an asthma study show the practical relevance of FBAT-PC. FBAT-PC has been implemented in the software package PBAT and is freely available at http://www.biostat.harvard.edu/~clange/default.htm. ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston Longitudinal Data Analysis and Time Series nationallicence Genetics nationallicence Multivariate Analysis nationallicence family-based association test nationallicence unknown environmental and/or polygenic effects nationallicence Lange Christoph Harvard School of Public Health aut van Steen Kristel Harvard School of Public Health aut Andrew Toby St Thomas' Hospital, London SE1 7EH, UK aut Lyon Helen Harvard Medical School aut DeMeo Dawn L. Brigham and Women aut Raby Benjamin Harvard Medical School aut Murphy Amy Harvard School of Public Health aut Silverman Edwin K. Brigham and Women aut MacGregor Alex St Thomas' Hospital, London aut Weiss Scott T. Harvard Medical School aut Laird Nan M. Harvard School of Public Health aut Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-08-12), 1-27 3:1<1 2004 3 sagmb https://doi.org/10.2202/1544-6115.1067 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.2202/1544-6115.1067 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lange Christoph Harvard School of Public Health aut NATIONALLICENCE 700 1- van Steen Kristel Harvard School of Public Health aut NATIONALLICENCE 700 1- Andrew Toby St Thomas' Hospital, London SE1 7EH, UK aut NATIONALLICENCE 700 1- Lyon Helen Harvard Medical School aut NATIONALLICENCE 700 1- DeMeo Dawn L. Brigham and Women aut NATIONALLICENCE 700 1- Raby Benjamin Harvard Medical School aut NATIONALLICENCE 700 1- Murphy Amy Harvard School of Public Health aut NATIONALLICENCE 700 1- Silverman Edwin K. Brigham and Women aut NATIONALLICENCE 700 1- MacGregor Alex St Thomas' Hospital, London aut NATIONALLICENCE 700 1- Weiss Scott T. Harvard Medical School aut NATIONALLICENCE 700 1- Laird Nan M. Harvard School of Public Health aut NATIONALLICENCE 773 0- Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-08-12), 1-27 3:1<1 2004 3 sagmb CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter