Jirong Long

Deconvolution-based cell-type specific DNA methylation-wide and transcriptome-wide association studies identify risk CpG sites and genes associated with colorectal cancer risk

The paper uses deconvolution to identify cell-type-specific DNA methylation and gene expression associations with colorectal cancer risk, finding 178 CpG sites and 68 genes across 26 new loci.

Large-scale integration of omics and electronic health records to identify potential risk protein biomarkers and therapeutic drugs for cancer prevention

This study integrates large-scale omics and electronic health records to identify risk proteins and drugs for cancer prevention, finding 101 novel proteins and three drugs associated with reduced colorectal cancer risk.

Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing

The paper optimizes a reduced representation DNA methylation sequencing protocol for cost-effective, population-scale studies across species.

Genetically predicted gene expression effects on changes in red blood cell and plasma polyunsaturated fatty acids

This study uses GWAS and eQTL data to identify genetic effects on PUFA levels in RBCs and plasma, finding shared variants and differences in gene expression impacts.

Enhancing Disease Risk Gene Discovery by Integrating Transcription Factor-Linked Trans-located Variants into Transcriptome-Wide Association Analyses

This study introduces transTF-TWAS, a method that integrates transcription factor-linked trans-located variants into transcriptome-wide association analyses to improve disease risk gene discovery.

Large-scale alternative polyadenylation (APA)-wide association studies to identify putative susceptibility genes in human common cancers

The paper identifies 58 risk genes associated with common cancers by linking genetically predicted APA levels to cancer risk using GWAS data.

Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves cross-ancestry prediction

This study identifies 447 new genetic variants associated with prostate-specific antigen levels across multiple ancestries and shows improved cross-ancestry prediction of PSA, with implications for personalized prostate cancer screening.

Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

Integrating genome and epigenome data to identify tissue-specific DNA methylation biomarkers for cancer risk

The paper identifies tissue-specific DNA methylation biomarkers for cancer risk by integrating genome and epigenome data from the GTEx consortium and GWAS data.

Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

The Trans-Ancestral Genomic Architecture of Glycaemic Traits

This study identifies 242 genetic loci for glycaemic traits using trans-ancestry meta-analysis, finding 99 novel loci and improved fine-mapping resolution compared to single-ancestry analyses.

Identification of type 2 diabetes loci in 433,540 East Asian individuals

This paper identifies 56 new type 2 diabetes loci in 433,540 East Asian individuals through a meta-analysis of GWAS data.

Identification of Novel Common Breast Cancer Risk Variants in Latinas at the 6q25 Locus

The paper identifies three novel common breast cancer risk variants at the 6q25 locus in Latinas and replicates their association in diverse populations.