GWAS summary statistics

Nuclear Mitochondrial Interaction Test Reveals Sex-Dependent Mitochondrial SNPs Interacting with Klotho Variants on Diabetes Risk

The paper identifies mitochondrial SNPs interacting with Klotho variants to influence diabetes risk, showing sex-dependent effects using the NuMIT method.

A meta-analysis of clinically ascertained lipoedema cohorts from the UK and Spain identifies overlapping susceptibility loci with the UK Biobank

This study meta-analyzes lipoedema cohorts from the UK and Spain with UK Biobank data, identifying overlapping susceptibility loci and rare SNPs associated with the disorder.

Pathways from Polygenic Risk to Suicidality: Effects of Alcohol Use Disorder and Childhood Adversity

The paper examines how polygenic risk for suicide attempts interacts with alcohol use disorder and childhood adversity to influence suicide attempt risk.

OmiGA: A Toolkit for Ultra-efficient Molecular Trait Analysis in Complex Populations

OmiGA improves molQTL mapping in complex populations by using an efficient linear mixed model, enhancing power and reducing false positives.

Machine learning and burden analyses highlight novel candidate genes in Parkinson's disease

The paper integrates machine learning and rare variant burden analysis to identify novel candidate genes for Parkinson's disease.

Bridging the Genomic Equity Gap with Context-Enhanced Risk Stratification in American Indians: the Strong Heart Study

The paper improves risk prediction for cardiometabolic traits in American Indians by integrating polygenic scores with lifestyle and clinical context variables, enhancing model discrimination for coronary heart disease.

Genome-wide analysis implicates inner ear development in Meniere's disease

This study identifies genetic loci associated with Meniere's disease and links them to inner ear development and retinoic acid metabolism.

Uncovering the Genetic Architecture of Optic Nerve Integrity Estimates through Genome-wide Association Study Meta-analyses

This study performs genome-wide association meta-analyses on optic nerve structure biomarkers, identifying novel loci and potential drug targets independent of intraocular pressure.

Genomic insights into substance use and disinhibitory disorders

This study identifies 1,294 genomic regions and 961 effector genes associated with externalizing disorders, revealing neural mechanisms and polygenic predictors of variance in these conditions.

Genome-wide association study meta-analysis identifies susceptibility loci informing Ewing sarcoma etiology and potential mechanisms of risk

This study identifies 14 susceptibility loci for Ewing sarcoma through a genome-wide association meta-analysis, revealing genetic interactions with somatic EWSR1::FLI1 fusions.

Practical utility of sequence-to-omics models for improving the reproducibility of genetic fine-mapping

This study evaluates sequence-to-omics models to improve reproducibility in genetic fine-mapping across eQTL datasets, showing reduced replication failure rates and enhanced SNP prioritization.

Migration genetics link excitatory neurons to ancient selection and economic growth

This study identifies genetic loci associated with migration distance and links them to neurodevelopmental genes, cognition, and economic growth.

A Genetic Atlas of Relationships Between Circulating Metabolites and Liability to Psychiatric Conditions

The paper investigates genetic correlations and causal relationships between 249 circulating metabolites and 10 psychiatric conditions, identifying 1,100 trait pairings with potential clinical implications.

Gene-drug interactions identify genomic loci that enhance statin effectiveness in lowering LDL cholesterol.

The paper identifies gene-statin interactions that enhance statin effectiveness in lowering LDL cholesterol using genome-wide analyses in the UK Biobank and All of Us.

PAD-associated genetic variants are more strongly associated with surgical intervention than premature onset

This study identifies PAD-associated SNPs with stronger associations with surgical intervention than premature onset using UK Biobank data.

Farm animal evolution demonstrates hidden molecular basis of human traits

The paper investigates missing regulation by comparing trait-associated variants in cattle and pigs to human genetics, finding increased regulatory variant ascertainment in livestock.

Transcriptome-wide association study and fly experiments uncover the role of CoA synthase in ageing across species.

The paper performs a transcriptome-wide association study on human lifespan and validates findings in Drosophila, identifying COASY as a gene involved in ageing across species.

Genetic Modifiers of Cognitive Function: Novel Genetic Associations with Memory, Executive Function, and Attention in the Long Life Family Study

This study identifies genetic variants associated with cognitive domains like memory and attention using GWAS in the Long Life Family Study, finding domain-specific genetic architecture.

Multi-ancestry conditional and joint analysis (Manc-COJO) applied to GWAS summary statistics

This paper introduces Manc-COJO, a method for multi-ancestry conditional and joint analysis of GWAS summary statistics, improving detection of independent signals and reducing false positives.

A Most Powerful Test for Gene-Gene Interaction in the Presence of Main Effects

The paper develops a statistically optimal test for gene-gene interaction that accounts for main effects, showing improved power over existing methods in simulations and identifying pathway-related SNP pairs in IBD data.

Is SORL1 a common genetic target across neurodegenerative diseases?: A multi-ancestry biobank scale assessment

This study investigates the role of SORL1 genetic variants in AD, RD, and PD across diverse populations, identifying variants associated with risk but no significant cumulative effect.

Polymorphisms in Intron 1 of HLA-DRA Differentially Associate with Type 1 Diabetes and Celiac Disease and Implicate Involvement of Complement System Genes C4A and C4B

The paper identifies tri-SNP haplotypes in HLA-DRA associated with type 1 diabetes and celiac disease, and links them to differences in complement system genes C4A and C4B.

Expanded Chromatin Accessibility Mapping Explains Genetic Variation Associated with Complex Traits in Liver

The paper integrates chromatin accessibility data with GWAS to identify regulatory mechanisms underlying blood lipid traits, finding 20% of signals lack proposed mechanisms.

Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model

The paper introduces mvSuSiE, a multi-trait fine-mapping method that improves causal SNP identification by jointly analyzing multiple traits, discovering more causal SNPs and narrower credible sets compared to single-trait approaches.

Matching Heterogeneous Cohorts by Projected Principal Components Reveals Two Novel Alzheimer's Disease-Associated Genes in the Hispanic Population

Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

Integrating multi-omics and multi-context QTL data with GWAS reveals the genetic architecture of complex traits and improves the discovery of risk genes

This study develops M-cTWAS to integrate multi-omics and multi-context QTL data with GWAS, improving the discovery of risk genes for complex traits.

Assessing the repurposing potential of disease-modifying antirheumatic drug targets to reduce Alzheimer's disease risk: a pQTL-based Mendelian randomization and colocalization analysis

This study uses pQTL-based Mendelian randomization and colocalization to assess if DMARD targets reduce Alzheimer's disease risk, finding only FCGR3B shows increased risk with higher plasma levels.

Major depression and atherosclerotic disease: Linking shared genetics to pathways in blood, brain, heart, and atherosclerotic plaques

This study identifies shared genetic risk between major depression and atherosclerotic diseases and links causal gene expression changes in blood, brain, and heart tissues to depression etiology.

Unifying the genetic landscape of common and rare diseases via latent neighborhoods

This paper develops a deep-learning method to unify genetic evidence from common and rare diseases by integrating diverse data sources and identifying shared genetic mechanisms.