Weihua Meng

This study uses single-cell RNA sequencing to analyze human retinal samples and identifies microglial states and neural-immune interactions in diabetic retinopathy.

The paper identifies cell-type-specific aging signatures in human retinal cells using single-cell RNA sequencing and machine learning, revealing molecular changes and vulnerabilities associated with aging.

The paper constructs a single-cell transcriptomic atlas of the human retina from Chinese donors, identifying 10 cell types and subtypes, and mapping their molecular programs and biological functions.

The paper generates a scRNA-seq reference atlas of living and early post-mortem human retina, revealing distinct transcriptional dynamics and a novel mlCone cluster.

This study identifies a novel genetic variant associated with widespread pain using UK Biobank data and finds sex-specific genetic differences.

The paper identifies cell-type-specific biomarkers for diabetic retinopathy using single-cell transcriptomics and machine learning, achieving high classification accuracy across disease states.

This study identifies 13 genetic loci associated with gout using GWAS in the UK Biobank, with four novel loci, and finds sex-specific genetic influences and associations with metabolic and immune traits.

This study identifies 7 genetic loci associated with hip pain using GWAS on 221,127 UK Biobank participants, with the strongest SNP in EXD3.

This paper conducts a GWAS on 441,757 UK Biobank participants to identify genetic variants associated with knee pain, finding 10 significant loci, including eight novel ones, and sex-specific associations.

This paper conducts a multi-ancestry GWAS to identify genetic loci influencing NLR and develops a PRS to assess its causal association with DR, finding no significant causal link.

This study conducts a genome-wide association study to identify genetic variants linked to neck or shoulder pain, finding five significant loci including two novel ones and sex-specific associations.

This study performs a meta-analysis of GWAS on self-reported headache and migraine, identifying four new risk loci for headaches using 397,385 samples.

This study identifies 3 genetic loci associated with neck or shoulder pain using UK Biobank data, with partial replication in Generation Scotland.

This study identifies genetic correlations between eight pain phenotypes and depression, major depressive disorders, and neuroticism using UK Biobank data and LDSC methods.

This study identifies two genetic loci, GDF5 and COL27A1, associated with knee pain through a genome-wide association analysis in the UK Biobank and replication in other cohorts.

This study identifies 28 genetic loci associated with broadly-defined headache using UK Biobank data, including 14 new loci and 14 previously linked to migraine.

This study identifies genetic and environmental factors contributing to chronic pain and its link to major depressive disorder using data from Generation Scotland and UK Biobank.