Author

Bhuminder Singh

Vanderbilt UniversityORCID 0000-0003-1357-2158Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:fine-mapping· 2 Research Focus:GWAS / association mapping· 2 Approach:benchmark study· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Ken S. LauiD· 3 shared Qiuyin CaiiD· 3 shared Ulrike PetersiD· 3 shared Wanqing WeniD· 3 shared Xiao‐Ou ShuiD· 3 shared Xingyi GuoiD· 3 shared Zhijun YiniD· 3 shared Chao Li· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Ken S. LauORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintNov 1, 2026

Single-cell transcriptome-wide association analysis reveals epithelial cell-specific genetic susceptibility to colorectal cancer

Qing Li, Chao Li, Linshuoshuo Lyu…·Xingyi Guo

The paper performs single-cell transcriptome-wide association analysis to identify cell-type-specific genetic susceptibility genes for colorectal cancer, finding 546 gene-cell-type associations and 347 candidate susceptibility genes.

DOI 10.64898/2026.10.29.26366877

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintJun 12, 2026

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

Qing Li, Lili Xu, Jifeng Wang…·Xingyi Guo

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.

DOI 10.64898/2026.06.11.26355460

humanDNA methylation

𝕏 PostBluesky

Genetic & Genomic MedicineThe American Journal of Human GeneticsPeer-reviewedDec 2, 2025

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

Qing Li, Qingyuan Song, Zhishan Chen…·Xingyi Guo

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.

4 citations

humanGWAS summary statistics

𝕏 PostBluesky