A Family-Based Association Test for Repeatedly Measured Quantitative Traits Adjusting for Unknown Environmental and/or Polygenic Effects

Verfasser / Beitragende:
[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]
Ort, Verlag, Jahr:
2004
Enthalten in:
Statistical Applications in Genetics and Molecular Biology, 3/1(2004-08-12), 1-27
Format:
Artikel (online)
ID: 378925776
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024 7 0 |a 10.2202/1544-6115.1067  |2 doi 
035 |a (NATIONALLICENCE)gruyter-10.2202/1544-6115.1067 
245 0 2 |a A Family-Based Association Test for Repeatedly Measured Quantitative Traits Adjusting for Unknown Environmental and/or Polygenic Effects  |h [Elektronische Daten]  |c [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] 
520 3 |a 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. 
540 |a ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston 
690 7 |a Longitudinal Data Analysis and Time Series  |2 nationallicence 
690 7 |a Genetics  |2 nationallicence 
690 7 |a Multivariate Analysis  |2 nationallicence 
690 7 |a family-based association test  |2 nationallicence 
690 7 |a unknown environmental and/or polygenic effects  |2 nationallicence 
700 1 |a Lange  |D Christoph  |u Harvard School of Public Health  |4 aut 
700 1 |a van Steen  |D Kristel  |u Harvard School of Public Health  |4 aut 
700 1 |a Andrew  |D Toby  |u St Thomas' Hospital, London SE1 7EH, UK  |4 aut 
700 1 |a Lyon  |D Helen  |u Harvard Medical School  |4 aut 
700 1 |a DeMeo  |D Dawn L.  |u Brigham and Women  |4 aut 
700 1 |a Raby  |D Benjamin  |u Harvard Medical School  |4 aut 
700 1 |a Murphy  |D Amy  |u Harvard School of Public Health  |4 aut 
700 1 |a Silverman  |D Edwin K.  |u Brigham and Women  |4 aut 
700 1 |a MacGregor  |D Alex  |u St Thomas' Hospital, London  |4 aut 
700 1 |a Weiss  |D Scott T.  |u Harvard Medical School  |4 aut 
700 1 |a Laird  |D Nan M.  |u Harvard School of Public Health  |4 aut 
773 0 |t Statistical Applications in Genetics and Molecular Biology  |d De Gruyter  |g 3/1(2004-08-12), 1-27  |q 3:1<1  |1 2004  |2 3  |o sagmb 
856 4 0 |u https://doi.org/10.2202/1544-6115.1067  |q text/html  |z Onlinezugriff via DOI 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a DeMeo  |D Dawn L.  |u Brigham and Women  |4 aut 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a Silverman  |D Edwin K.  |u Brigham and Women  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a MacGregor  |D Alex  |u St Thomas' Hospital, London  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Weiss  |D Scott T.  |u Harvard Medical School  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Laird  |D Nan M.  |u Harvard School of Public Health  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Statistical Applications in Genetics and Molecular Biology  |d De Gruyter  |g 3/1(2004-08-12), 1-27  |q 3:1<1  |1 2004  |2 3  |o sagmb 
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