{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:27:19Z","timestamp":1767918439371,"version":"3.49.0"},"reference-count":38,"publisher":"Oxford University Press (OUP)","issue":"19","funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Despite the widespread popularity of genome-wide association studies (GWAS) for genetic mapping of complex traits, most existing GWAS methodologies are still limited to the use of static phenotypes measured at a single time point. In this work, we propose a new method for association mapping that considers dynamic phenotypes measured at a sequence of time points. Our approach relies on the use of Time-Varying Group Sparse Additive Models (TV-GroupSpAM) for high-dimensional, functional regression.<\/jats:p>\n               <jats:p>Results: This new model detects a sparse set of genomic loci that are associated with trait dynamics, and demonstrates increased statistical power over existing methods. We evaluate our method via experiments on synthetic data and perform a proof-of-concept analysis for detecting single nucleotide polymorphisms associated with two phenotypes used to assess asthma severity: forced vital capacity, a sensitive measure of airway obstruction and bronchodilator response, which measures lung response to bronchodilator drugs.<\/jats:p>\n               <jats:p>Availability and Implementation: Source code for TV-GroupSpAM freely available for download at http:\/\/www.cs.cmu.edu\/~mmarchet\/projects\/tv_group_spam, implemented in MATLAB.<\/jats:p>\n               <jats:p>Contact: \u00a0epxing@cs.cmu.edu<\/jats:p>\n               <jats:p>Supplementary Information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw347","type":"journal-article","created":{"date-parts":[[2016,6,14]],"date-time":"2016-06-14T02:00:59Z","timestamp":1465869659000},"page":"2903-2910","source":"Crossref","is-referenced-by-count":19,"title":["A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits"],"prefix":"10.1093","volume":"32","author":[{"given":"Micol","family":"Marchetti-Bowick","sequence":"first","affiliation":[{"name":"1 Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA,"}]},{"given":"Junming","family":"Yin","sequence":"additional","affiliation":[{"name":"2 Department of Management Information Systems, University of Arizona, Tucson, AZ, USA"}]},{"given":"Judie A.","family":"Howrylak","sequence":"additional","affiliation":[{"name":"3 Division of Pulmonary and Critical Care Medicine, Penn State University, Milton S. 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