Yang Wu

Large-scale genome- and phenome-wide analyses reveal the genetic architecture, pathophysiology and comorbidity of restless legs syndrome

This study identifies 15 novel RLS-associated loci and links them to neurodevelopmental programs, while revealing over 100 comorbidities and brain structural associations through genome- and phenome-wide analyses.

Genome-wide fine-mapping improves identification of causal variants

This paper improves causal variant identification by genome-wide fine-mapping, showing it outperforms existing methods and identifies new causal variants for complex traits.

The enhanced multi-tissue atlas of regulatory effects in cattle

The paper presents CattleGTEx, a resource characterizing regulatory effects in cattle, resolving GWAS signals and providing insights into adaptive evolution and selection.

Joint Bayesian modelling of molecular QTL and GWAS effects improves polygenic prediction for complex traits

Calibration and refinement of ACMG/AMP criteria for variant classification with BayesQuantify

BayesQuantify refines ACMG/AMP variant classification criteria using Bayesian methods, providing objective thresholds for evidence levels across multiple datasets.

Transcriptional and translational genetic control in blood contributes significantly to complex trait heritability and polygenic prediction

The paper evaluates the contribution of expression, splicing, and protein QTL in blood to SNP-based heritability and polygenic prediction across 27 traits, finding they capture significant portions of genetic variation.

Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors

This paper introduces DENTIST, a method to reduce errors and heterogeneity in GWAS summary data, improving analyses like COJO and fine-mapping.

Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data

This study predicts promoter-anchored chromatin interactions using DNA methylation QTL data from a human cohort, finding overlaps with experimental data and associations with complex traits.

Genomic evaluation of circulating proteins for drug target characterisation and precision medicine

The paper identifies pQTLs for cardiovascular proteins and uses them to evaluate drug targets and suggest new candidates for precision medicine.

Bayesian analysis of GWAS summary data reveals differential signatures of natural selection across human complex traits and functional genomic categories

Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank

The paper identifies genetic variants associated with phenotypic variability and shows they exhibit genotype-by-environment interactions for obesity-related traits using UK Biobank data.

Cross-disorder analysis of schizophrenia and 19 immune diseases reveals genetic correlation

This paper identifies shared genetic risk factors between schizophrenia and 19 immune diseases, including three variants with pleiotropic effects and significant genetic correlations for several immune diseases.

Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

Novel susceptibility loci and genetic regulation mechanisms for type 2 diabetes

This study identifies 139 common and 4 rare genetic variants associated with type 2 diabetes through GWAS and integrates gene expression and epigenomic data to highlight potential functional genes and regulatory mechanisms.

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

The paper identifies gene targets for brain-related traits using transcriptomic and methylomic data from blood, finding strong correlations between genetic effects in brain and blood tissues.

Widespread signatures of negative selection in the genetic architecture of human complex traits

The paper estimates the joint distribution of effect size and MAF for genetic variants in 28 complex traits and detects widespread negative selection signatures.

Causal associations between risk factors and common diseases inferred from GWAS summary data

This study uses genetic data to identify causal relationships between risk factors and common diseases, finding protective and bidirectional effects.

Improving the Efficiency of Genomic Selection in Chinese Simmental beef cattle

This study improves genomic selection efficiency in Chinese Simmental beef cattle by optimizing kinship matrix estimation using SNP data and feature selection in GBLUP.