Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …

The depletion of disruptive variation caused by purifying natural selection (constraint) has
been widely used to investigate protein-coding genes underlying human disorders,,–, but …

We assembled an ancestrally diverse collection of genome-wide association studies
(GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls …

Metabolic processes can influence disease risk and provide therapeutic targets. By
conducting genome-wide association studies of 1,091 blood metabolites and 309 metabolite …

Abstract Characterization of the genetic landscape of Alzheimer's disease (AD) and related
dementias (ADD) provides a unique opportunity for a better understanding of the associated …

It has been 15 years since the advent of the genome-wide association study (GWAS) era.
Here, we review how this experimental design has realized its promise by facilitating an …

To capture the full spectrum of genetic risk for autism, we performed a two-stage analysis of
rare de novo and inherited coding variants in 42,607 autism cases, including 35,130 new …

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–
50% of phenotypic variation in human height, but identifying the specific variants and …

A major goal in human genetics is to use natural variation to understand the phenotypic
consequences of altering each protein-coding gene in the genome. Here we used exome …