Improving polygenic risk prediction from summary statistics by an empirical Bayes approach
نویسندگان
چکیده
منابع مشابه
Improving polygenic risk prediction from summary statistics by an empirical Bayes approach
Polygenic risk scores (PRS) from genome-wide association studies (GWAS) are increasingly used to predict disease risks. However some included variants could be false positives and the raw estimates of effect sizes from them may be subject to selection bias. In addition, the standard PRS approach requires testing over a range of p-value thresholds, which are often chosen arbitrarily. The predict...
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Let X be a random variable which for simplicity we shall assume to have discrete values x and which has a probability distribution depending in a known way on an unknown real parameter A, (1) p (xIX) =Pr [X = xIA =X], A-itself being a random variable with a priori distribution function (2) G (X) =Pr [A-< X. The unconditional probability distribution of X is then given by (3) PG(x) =Pr[X=xI =fP(...
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Polygenic scores (PGS) summarize the genetic contribution of a person’s genotype to a disease or phenotype. They are useful in a wide variety of analyses of genetic data. Many possible ways of calculating polygenic scores have been proposed, and recently there is much interest in methods that incorporate information available in published summary statistics. As there is no inherent information ...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2017
ISSN: 2045-2322
DOI: 10.1038/srep41262