Genome-wide association studies (GWAS) are commonly used to identify genomic variants
that are associated with complex traits, and estimate the magnitude of this association for …

Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the
known genetic risk has been traced to rare variants, principally copy number variants …

We suppose that the statistician observes some large number of estimates zi, each with its
own unobserved expectation parameter μi. The largest few of the zi's are likely to …

Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …

Major depressive disorder (MDD) is a common complex trait with enormous public health
significance. As part of the Genetic Association Information Network initiative of the US …

Genomewide association studies are now a widely used approach in the search for loci that
affect complex traits. After detection of significant association, estimates of penetrance and …

Investigation of the genetic architecture of gene expression traits has aided interpretation of
disease and trait-associated genetic variants; however, key aspects of expression …

As research in genetics has advanced, some findings have been unexpected or shown to be
inconsistent between studies or datasets. The reasons these inconsistencies arise are …

Genetic association studies are a powerful tool to detect genetic variants that predispose to
human disease. Once an associated variant is identified, investigators are also interested in …

In genome-wide association studies (GWAS), hundreds of thousands of genetic markers
(SNPs) are tested for association with a trait or phenotype. Reported effects tend to be larger …