Latest Articles for Genetic Variants

Adjusting HWE methods can improve genetic variant analysis in large samples.

A new model improves accuracy in low-pass sequencing genetic studies.

A study reveals how genetic factors contribute to congenital heart disease development.

Recent genome studies reveal significant genetic differences among dog breeds.

Research reveals how multiple genetic changes contribute to ALS risk and diagnosis.

Discover how genetic variations shape cichlid diversity in Lake Malawi.

New insights into recessive genetic contributions to common diseases are revealed through extensive research.

Study reveals how blood lipids connect major depressive disorder and heart attacks.

This study reveals how gradual changes in gene expression affect cellular function and health.

New methods improve how genetic variants are assessed for health risks.

Study reveals genetic links to seizures in patients with rare conditions.

New tools are improving the analysis of genetic variants for better patient outcomes.

BEATRICE improves identification of causal genetic variants using advanced techniques.

Research uncovers genetic changes in NF1 tumors to guide future treatments.

Explore how genetics helps clarify health outcomes in research.

Research examines genetic risk for Parkinson's across diverse backgrounds.

TWAS methods help identify genes linked to diseases and traits.

New methods enhance understanding of gene activity and its health implications.

This study assesses new methods for analyzing genetic variations and their health impacts.

New tools and resources enhance genetic risk assessment and research efforts.

Research reveals genetic factors influencing MASLD and liver health.

UCSF Health implements pharmacogenomics for tailored patient treatment.

A new tool simplifies polygenic scoring for genetics and health research.

New methods in genetic testing reveal insights into inborn errors of immunity.

Research reveals links between mitochondrial proteins and polycystic ovary syndrome.

Investigating how a single gene can influence multiple health traits.

Research uncovers genetic factors affecting coronary artery disease and gene expression.

Research reveals genetic links between atrial fibrillation and heart function.

GV-Rep aims to improve the analysis of genetic variants for patient care.

VariantKG aids researchers in analyzing genetic data and understanding health impacts.

Researchers analyze yeast genetics to predict traits using machine learning.

New models enhance predictions of gene function using individual genomic data.

RatXcan reveals links between rat genetics and traits like body length and BMI.

A new method improves predictions of gene expression using gene regulatory networks.

A look at how genes and environment shape health traits.

Discover how genetic studies reveal connections between traits and diseases.

A new method enhances identification of genetic variants related to Alzheimer's disease.

This article examines confounding in epidemiology and the role of Mendelian Randomisation.

An overview of how BTS improves GWAS analysis for genetic research.

Research improves prediction models for Type 2 Diabetes risk using genetic data.