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Researchers explored the associations between autozygosity, measured as the fraction of the genome in runs of homozygosity (FROH), and common diseases, focusing on populations with high consanguinity rates.
A team led by researchers at Johns Hopkins Bloomberg School of Public Health and the National Cancer Institute has developed a new algorithm for genetic risk-scoring for major diseases across diverse ancestry populations that holds promise for reducing health care disparities.
A receding hairline, a total loss of hair from the crown, and ultimately, the classical horseshoe-shaped pattern of baldness: Previous research into male pattern hair loss, also termed androgenetic alopecia, has implicated multiple common genetic variants.
AlphaMissense, an adaptation of AlphaFold, offers a highly accurate model for predicting the pathogenicity of human proteome-wide missense variants at the single amino acid level. The model outperforms existing methods, providing valuable insights for diagnosing rare diseases and developing targeted therapies.
Researchers at Ann & Robert H. Lurie Children's Hospital discovered a genetic biomarker, α-tryptase, that predicts the severity of food allergies, potentially revolutionizing allergy management.
Researchers at The Ohio State University Wexner Medical Center and College of Medicine led the creation of evidence-based consensus guidelines for genetic testing and counseling for patients with amyotrophic lateral sclerosis (ALS), a neurodegenerative disease that affects the cells in the brain and spine.
Your happiness levels aren't only based on external events. Genome testing can reveal how happy and optimistic you are predisposed to be. A leading testing expert reveals how variations of a key gene, CNR1, may have a significant impact on your level of happiness.