GWAS summary statistics

This study uses Mendelian randomization to show loneliness causally increases schizophrenia and depression risk, partially mediated by inflammatory pathways.

The paper identifies shared genetic loci between cortical morphology and psychiatric disorders, finding regional and global effects with directional heterogeneity.

This study identifies sex-specific molecular targets in Parkinson's disease through multi-omic integration, revealing sexually dimorphic pathways and gene associations.

This study identifies two independent BMI-associated variants at the GLP1R locus with distinct associations with T2D risk, suggesting heterogeneous genetic mechanisms.

This study identifies six genome-wide significant risk loci for tic disorders and links genetic risk to specific brain cell types and circuits.

The paper examines APOE ε4 allele frequencies across 9,524 individuals from 83 Indian populations, revealing significant variation and associations with lipid phenotypes.

The paper examines how intersectional sociodemographic factors affect genetic risk estimates from polygenic scores across multiple diseases.

This study identifies shared genetic loci between chronic pain and depression using genome-wide association data, revealing potential molecular mechanisms underlying their comorbidity.

This paper introduces LDeconv, a method to adjust GWAS summary statistics for linkage disequilibrium, reducing false positives while preserving true associations.

This study identifies genetic variants associated with lower extremity amputation risk in peripheral artery disease using GWAS from the All of Us Research Program.

This paper introduces two new methods for gene discovery using conditional genome-wide associations and validates three novel genes affecting flowering time in Arabidopsis.

GMIP-PLSR improves GWAS gene prioritization by integrating multi-omics data using PLSR to address multicollinearity, outperforming PoPS in NAFLD case studies.

This paper develops a multi-stage graph attention network to improve Alzheimer's disease classification from genome-wide association data by capturing epistatic interactions and enhancing interpretability.

The paper identifies cell-type-specific genes regulating sleep by mapping GWAS variants to effector genes in human and Drosophila models, revealing ruby/AP3B2 as a conserved glial regulator.

This study identifies a non-coding variant at 2p24.2 that increases susceptibility to NSCLP by disrupting FOXP2-mediated LLPS and impairing MYCN transcriptional activation.

The paper benchmarks SNP annotation tools and gene models across the genome, showing discrepancies in annotation and their impact on pathway analysis.

This paper identifies shared genetic loci between kidney function and Alzheimer disease across ancestries, revealing both horizontal and vertical pleiotropy with APOE as the only shared locus.

PAVS is a database of phenotype-associated variants from Saudi Arabian rare disease patients, enabling gene prioritization through phenotype-based similarity search.

This study identifies a novel genetic locus near SOX5 and reveals causal links between psychiatric and metabolic factors in anorexia nervosa using integrative GWAS and cross-trait analysis.

WebGWAS provides a web tool to quickly generate approximate GWAS summary statistics for custom phenotypes without requiring individual-level data.

The paper develops a multi-kernel mixed model to analyze indirect genetic effects (IGEs) in plant genotypes, finding evidence of intergenotypic competition in aspen and apple trees.

This study benchmarks 86 heritability estimation configurations and evaluates their impact on polygenic risk score performance across 10 UK Biobank phenotypes.

This study uses functionality-informed fine mapping to identify causal variants and pathways contributing to coronary artery disease risk using GWAS summary statistics from over a million individuals.

PopGenAgent streamlines population genetics analyses by organizing tasks into a structured workflow, enabling reproducible and transparent multi-step analyses with preserved intermediate results.

The paper uses population-scale Ig genetics to identify genetic associations and map their effects on the human B-cell system, revealing new genes and regulatory mechanisms in humoral immunity.

This study identifies 282 genetic loci associated with insulin resistance through multi-trait GWAS, highlighting adipose-specific and systemic regulators and potential therapeutic targets.

This study evaluates genetic ancestry report concordance across providers, compares ancestry to self-identified race/ethnicity, and explores perspectives on integrating ancestry data into EHRs.

The paper introduces MystraColoc, a Bayesian algorithm for multi-trait colocalisation, showing improved performance in clustering genetic association signals across GWAS datasets.

SILO improves detection of disease susceptible variants in short IBD segments, outperforming existing models in simulated and real data.