Transcriptome-wide association studies (TWAS) integrate genome-wide association studies
(GWAS) and gene expression datasets to identify gene–trait associations. In this Perspective…

Genome-wide association studies (GWAS) have identified over 100 risk loci for schizophrenia,
but the causal mechanisms remain largely unknown. We performed a transcriptome-wide …

… , which is significantly lower when compared with 84% for N eQTL = 500 (Mann–Whitney
U-… We model a quantitative trait for n individuals y by a linear combination of expression levels …

Although genome-wide association studies (GWASs) have identified thousands of risk loci
for many complex traits and diseases, the causal variants and genes at these loci remain …

Although genetic correlations between complex traits provide valuable insights into
epidemiological and etiological studies, a precise quantification of which genomic regions …

Tissue-specific regulatory regions harbor substantial genetic risk for disease. Because brain
development is a critical epoch for neuropsychiatric disease susceptibility, we characterized …

We report targeted sequencing of 63 known prostate cancer risk regions in a multi-ancestry
study of 9,237 men and use the data to explore the contribution of low-frequency variation to …

… framework under a \(\chi _{n - 1}^2\) distribution. Here, the number of studies is \(n = 2\),
so our heterogeneity p-values reflect a one-tailed test under a \(\chi _1^2\) distribution. …

… Here we integrate the largest PrCa GWAS (N = 142,392) with gene expression measured
in 45 tissues (N = 4458), including normal and tumor prostate, to perform a multi-tissue …

… Given genotype measurements across N individuals at M SNPs and assuming N > M, the …
pop ), we set d GWAS = 0.5 and selected a random set of controls to satisfy N case = N control . …