Penalized regression and risk prediction in genome-wide association studies
نویسندگان
چکیده
منابع مشابه
Risk prediction using genome-wide association studies.
Over the last few years, many new genetic associations have been identified by genome-wide association studies (GWAS). There are potentially many uses of these identified variants: a better understanding of disease etiology, personalized medicine, new leads for studying underlying biology, and risk prediction. Recently, there has been some skepticism regarding the prospects of risk prediction u...
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Whole exome and whole genome sequencing are likely to be potent tools in the study of common diseases and complex traits. Despite this promise, some very difficult issues in data management and statistical analysis must be squarely faced. The number of rare variants identified by sequencing is apt to be much larger than the number of common variants encountered in current association studies. T...
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MOTIVATION In ordinary regression, imposition of a lasso penalty makes continuous model selection straightforward. Lasso penalized regression is particularly advantageous when the number of predictors far exceeds the number of observations. METHOD The present article evaluates the performance of lasso penalized logistic regression in case-control disease gene mapping with a large number of SN...
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Penalized regression methods are becoming increasingly popular in genome-wide association studies (GWAS) for identifying genetic markers associated with disease. However, standard penalized methods such as LASSO do not take into account the possible linkage disequilibrium between adjacent markers. We propose a novel penalized approach for GWAS using a dense set of single nucleotide polymorphism...
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Hui Yi*,§, Patrick Breheny†, Netsanet Imam*, Yongmei Liu** and Ina Hoeschele*,‡ * Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA § PhD Program in Genetics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA † Department of Biostatistics, University of Iowa, Iowa City, IA 52240, USA **Departments of Epidemiology & Prevention and Intern...
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ژورنال
عنوان ژورنال: Statistical Analysis and Data Mining: The ASA Data Science Journal
سال: 2013
ISSN: 1932-1864
DOI: 10.1002/sam.11183