Author

Lili Liu

Columbia UniversityORCID 0000-0002-2622-9669Unclaimed 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· 5 Approach:statistical model· 5 Assay:GWAS summary statistics· 3 Research Focus:gene regulatory network inference· 2 Research Focus:GWAS / association mapping· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Atlas KhaniD· 4 shared Krzysztof KirylukiD· 4 shared Ali G. GharaviiD· 3 shared Francesca ZanoniiD· 3 shared Jun Y. ZhangiD· 3 shared Simone Sanna‐CherchiiD· 3 shared Adele MitrottiiD· 2 shared Andrew S. BombackiD· 2 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenetic & Genomic Medicine

Atlas KhanORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Atlas of glomerular disease-specific genetic effects on blood transcriptome

Lili Liu, C H Wang, Oleksandr Kravets, Damian Fermin, Felix H. Eichinger, Francesca Zanoni, Atlas Khan, Jun Y. Zhang, Yan Ouyang, Qin Li, Patrick Hamilton, Philip A. Kalra, Rajkumar Chinnadurai, Kimberly J. Reidy, Jeffrey B. Kopp, , Krzysztof Kiryluk

The paper generates disease-specific genetic effect maps on the blood transcriptome for five glomerular diseases using whole genome and transcriptome sequencing data from the CureGN cohort.

medRxiv · Jul 20, 2026 · PreprintGenetic & Genomic Medicine

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

Nikhil K. Khankari, Timothy Su, Qiuyin Cai, Lili Liu, Elizabeth A. Jasper, Jacklyn N. Hellwege, Harvey J. Murff, Martha J. Shrubsole, Jirong Long, Todd L. Edwards, Wei Zheng

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.

Genetic Epidemiology · Jan 15, 2025Peer-reviewedGenetic & Genomic Medicine

Strong protective effect of the APOL1 p.N264K variant against G2-associated FSGS and kidney disease

Yask Gupta, David J. Friedman, Michelle T. McNulty, Atlas Khan, Brandon M. Lane, Chen Wang, Juntao Ke, Gina Ying Jin, Benjamin Wooden, Andrea L. Uscinski Knob, Tze Yin Lim, Gerald B. Appel, Kinsie Huggins, Lili Liu, Adele Mitrotti, , Simone Sanna‐Cherchi

The paper shows the APOL1 p.N264K variant reduces the risk of FSGS and kidney disease in individuals with G2 APOL1 risk alleles.

Nature Communications · Nov 30, 2023Peer-reviewedGenetic & Genomic Medicine

Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits

Lili Liu, Atlas Khan, Elena Sánchez, Francesca Zanoni, Yifu Li, Nicholas J. Steers, Olivia Balderes, Jun Y. Zhang, Priya Krithivasan, Robert A. LeDesma, Clara J. Fischman, Scott Joseph Hebbring, John B. Harley, Halima Moncrieffe, Leah Claire Kottyan, , Krzysztof Kiryluk

This study identifies 20 genome-wide significant loci associated with serum IgA levels and finds genetic correlations with various immune and metabolic traits.

Nature Communications · Nov 11, 2022Peer-reviewedGenetic & Genomic Medicine

GWAS defines pathogenic signaling pathways and prioritizes drug targets for IgA nephropathy

Krzysztof Kiryluk, Elena Sánchez, Shu‐Feng Zhou, Francesca Zanoni, Lili Liu, Nikol Mladkova, Atlas Khan, Maddalena Marasà, Jun Y. Zhang, Olivia Balderes, Simone Sanna‐Cherchi, Andrew S. Bomback, Pietro A. Canetta, Gerald B. Appel, Jai Radhakrishnan, , Claudia Izzi

This study identifies 30 genome-wide significant risk loci for IgA nephropathy, links them to inflammatory pathways, and prioritizes drug targets.

medRxiv · Nov 19, 2021 · PreprintGenetic & Genomic Medicine