… variant is associated with the trait analyzed. GWASs typically focus on associations between
… single-nucleotide polymorphisms (SNPs), which are the most common type of genetic …

… A technological advance that assessed hundreds of thousands of DNA differences (single-nucleotide
polymorphisms, SNPs) enabled an atheoretical approach to identify associations …

… single nucleotide polymorphism. These changes in a single position are used as an effective
genetic … Even creating machine learning models to select true SNPs directly from sequence …

… This is enabled by the massively polygenic architecture of many complex outcomes, and that
individual scores based on aggregate single-nucleotide polymorphisms (SNPs) associated …

… Methods S1 section in the online supplemental materials for details), genotypic data for
515,100 genotyped or imputed single-nucleotide polymorphisms (SNPs; info = 1) was available. …

… able to genotype inexpensively and quickly the most common type of inherited DNA difference,
a difference in a single nucleotide base, called a single-nucleotide polymorphism (SNP). …

Purpose To determine the added predictive ability of genome-wide significant single nucleotide
polymorphisms (SNPs) in refraction prediction in children and investigate the earliest …

… discrimination of coeliac disease from controls (ROC-AUC = 0.87-0.89 in validation) across
cohorts of multiple European origins using a genome-wide risk score in a machine learning …

… ) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952
approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A …

… single-nucleotide polymorphisms (sSNPs) and nonsynonymous single-nucleotide polymorphisms
(… There is an integrative machine learning approach that produces an in silico model of …