Genome‐wide association studies (GWAS) have developed into a powerful and ubiquitous
tool for the investigation of complex traits. In large part, this was fueled by advances in …

Genome-wide association studies (GWAS) involve testing genetic variants across the
genomes of many individuals to identify genotype–phenotype associations. GWAS have …

Polycystic ovary syndrome (PCOS) is among the most common disorders in women of
reproductive age, affecting up to 15% worldwide, depending on the diagnostic criteria …

Agriculture and climate change are internally correlated with each other in various aspects,
as climate change is the main cause of biotic and abiotic stresses, which have adverse …

Deep learning, a state-of-the-art machine learning approach, has shown outstanding
performance over traditional machine learning in identifying intricate structures in complex …

The molecular processes underlying human health and disease are highly complex. Often,
genetic and environmental factors contribute to a given disease or phenotype in a non …

Mendelian randomization (MR) is a burgeoning field that involves the use of genetic variants
to assess causal relationships between exposures and outcomes. MR studies can be …

Next-generation sequencing has provided a more complete picture of the composition of the
human transcriptome indicating that much of the “blueprint” is a vastness of poorly …

Genome-wide association studies (GWAS) provide an agnostic approach for investigating
the genetic basis of complex diseases. In oncology, GWAS of nearly all common …

Genomic research involving human genetics and evolutionary biology relies heavily on
linkage disequilibrium (LD) to investigate population-specific genetic structure, functionally …