Nadezhda M Belonogova1, Gulnara R Svishcheva2, Tatiana I Axenovich3. 1. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk. 2. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk Vavilov Institute of General Genetics, the Russian Academy of Sciences, Moscow, Russia. 3. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk Novosibirsk State University, Novosibirsk, Russia.
Abstract
UNLABELLED: Several approaches to the region-based association analysis of quantitative traits have recently been developed and successively applied. However, no software package has been developed that implements all of these approaches for either independent or structured samples. Here we introduce FREGAT (Family REGional Association Tests), an R package that can handle family and population samples and implements a wide range of region-based association methods including burden tests, functional linear models, and kernel machine-based regression. FREGAT can be used in genome/exome-wide region-based association studies of quantitative traits and candidate gene analysis. FREGAT offers many useful options to empower its users and increase the effectiveness and applicability of region-based association analysis. AVAILABILITY AND IMPLEMENTATION: https://cran.r-project.org/web/packages/FREGAT/index.html SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Online. CONTACT: belon@bionet.nsc.ru.
UNLABELLED: Several approaches to the region-based association analysis of quantitative traits have recently been developed and successively applied. However, no software package has been developed that implements all of these approaches for either independent or structured samples. Here we introduce FREGAT (Family REGional Association Tests), an R package that can handle family and population samples and implements a wide range of region-based association methods including burden tests, functional linear models, and kernel machine-based regression. FREGAT can be used in genome/exome-wide region-based association studies of quantitative traits and candidate gene analysis. FREGAT offers many useful options to empower its users and increase the effectiveness and applicability of region-based association analysis. AVAILABILITY AND IMPLEMENTATION: https://cran.r-project.org/web/packages/FREGAT/index.html SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Online. CONTACT: belon@bionet.nsc.ru.
Authors: Mabel Bohorquez; Ruta Sahasrabudhe; Angel Criollo; María Carolina Sanabria-Salas; Alejandro Vélez; Jorge Mario Castro; Juan Ricardo Marquez; Gilbert Mateus; Fernando Bolaños; Cesar Panqueva; Jose Ignacio Restrepo; Juan Dario Puerta; Raul Murillo; María Mercedes Bravo; Gustavo Hernández; Angela Rios; Rodrigo Prieto; Ian Tomlinson; Magdalena Echeverry; Luis G Carvajal-Carmona Journal: Medicine (Baltimore) Date: 2016-10 Impact factor: 1.889
Authors: Nadezhda M Belonogova; Gulnara R Svishcheva; James F Wilson; Harry Campbell; Tatiana I Axenovich Journal: PLoS One Date: 2018-01-08 Impact factor: 3.240