Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …

Polycystic Ovary Syndrome (PCOS) is a complex condition with mechanisms likely to involve
the interaction between genetics and lifestyle. Familial clustering of PCOS symptoms is well …

During the past decade, findings of genome-wide association studies (GWAS) improved our
knowledge and understanding of disease genetics. To date, thousands of SNPs have been …

Polygenic risk scores (PRS) estimate the genetic risk of an individual for a complex disease
based on many genetic variants across the whole genome. In this study, we compared a …

Despite advances in the characterization of developmental dyslexia (DD), several questions
regarding the interplay between DD-susceptibility genes and environmental risk factors …

Most crops are sensitive to salt stress, but their degree of susceptibility varies among
species and cultivars. In order to understand the salt stress adaptability of Brassica napus to …

Background The popular statistics-based Genome-wide association studies (GWAS) have
provided deep insights into the field of complex disorder genetics. However, its clinical …

Meta-analysis has been established as an effective approach to combining summary
statistics of several genome-wide association studies (GWAS). However, the accuracy of …

Researchers have long been presented with the challenge imposed by the role of genetic
heterogeneity in drug response. For many years, Pharmacogenomics and …

Background In the pig production industry, artificial insemination (AI) plays an important role
in enlarging the beneficial impact of elite boars. Understanding the genetic architecture and …