caa a22 4500 445861436 CHVBK 20180317145444.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s00439-011-0960-6 doi (NATIONALLICENCE)springer-10.1007/s00439-011-0960-6 A dynamic model for genome-wide association studies [Elektronische Daten] [Kiranmoy Das, Jiahan Li, Zhong Wang, Chunfa Tong, Guifang Fu, Yao Li, Meng Xu, Kwangmi Ahn, David Mauger, Runze Li, Rongling Wu] Although genome-wide association studies (GWAS) are widely used to identify the genetic and environmental etiology of a trait, several key issues related to their statistical power and biological relevance have remained unexplored. Here, we describe a novel statistical approach, called functional GWAS or fGWAS, to analyze the genetic control of traits by integrating biological principles of trait formation into the GWAS framework through mathematical and statistical bridges. fGWAS can address many fundamental questions, such as the patterns of genetic control over development, the duration of genetic effects, as well as what causes developmental trajectories to change or stop changing. In statistics, fGWAS displays increased power for gene detection by capitalizing on cumulative phenotypic variation in a longitudinal trait over time and increased robustness for manipulating sparse longitudinal data. Springer-Verlag, 2011 Das Kiranmoy Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut Li Jiahan Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut Wang Zhong Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut Tong Chunfa Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut Fu Guifang Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut Li Yao Department of Statistics, West Virginia University, Morgantown, WV, USA aut Xu Meng Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut Ahn Kwangmi Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut Mauger David Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut Li Runze Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut Wu Rongling Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut Human Genetics Springer-Verlag 129/6(2011-06-01), 629-639 0340-6717 129:6<629 2011 129 439 https://doi.org/10.1007/s00439-011-0960-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00439-011-0960-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Das Kiranmoy Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut NATIONALLICENCE 700 1- Li Jiahan Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut NATIONALLICENCE 700 1- Wang Zhong Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut NATIONALLICENCE 700 1- Tong Chunfa Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut NATIONALLICENCE 700 1- Fu Guifang Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut NATIONALLICENCE 700 1- Li Yao Department of Statistics, West Virginia University, Morgantown, WV, USA aut NATIONALLICENCE 700 1- Xu Meng Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut NATIONALLICENCE 700 1- Ahn Kwangmi Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut NATIONALLICENCE 700 1- Mauger David Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA, USA aut NATIONALLICENCE 700 1- Li Runze Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut NATIONALLICENCE 700 1- Wu Rongling Department of Statistics, The Pennsylvania State University, University Park, PA, USA aut NATIONALLICENCE 773 0- Human Genetics Springer-Verlag 129/6(2011-06-01), 629-639 0340-6717 129:6<629 2011 129 439 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer