Author

Elaine S. Cornell

University of Vermont

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 6 Genetic & Genomic Medicine· 1 Genetics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 9 Organism:human· 7 Research Focus:GWAS / association mapping· 4 Assay:proteomics· 4 Assay:whole-genome sequencing· 4 Research Focus:benchmarking· 3 Assay:DNA methylation· 3 Research Focus:gene regulatory network inference· 3

Frequent Co-Authors

Allison E. Ashley‐KochiD· 5 shared Álvaro AlonsoiD· 5 shared Brian S. CusteriD· 5 shared Cara L. CartyiD· 5 shared Christine M. AlbertiD· 5 shared Christy Chang· 5 shared Clary B. ClishiD· 5 shared Dan E. ArkingiD· 5 shared

Activity by Year

2018-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersGenomics

Allison E. Ashley‐KochORCID

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Author profile →

9 papers

Recent·Most cited

Multi-omic identification of key transcriptional regulatory programs during endurance exercise training in rats

Gregory R. Smith, Bingqing Zhao, Maléne E. Lindholm, Archana Natarajan Raja, Mark R. Viggars, Hanna Pinças, Nicole R. Gay, Yifei Sun, Sindhu Vangeti, Yongchao Ge, Venugopalan D. Nair, James A. Sanford, Mary Anne S. Amper, Mital Vasoya, Kevin S. Smith, , Ian R. Lanza

The paper identifies tissue-specific transcriptional regulatory programs in rats undergoing endurance exercise training by integrating chromatin accessibility, DNA methylation, and gene expression data.

Nature Communications · Mar 21, 2026Peer-reviewedGenomics

Mosaic Loss of Y chromosome associates with lung function, emphysema and epigenetic aging

Woei‐Yuh Saw, Kangjin Kim, Yichen Huang, Jeong Hyun Yun, Xiaolong Ma, Jason Bacon, Yash Pershad, Daniel A Levy, George T. O’Connor, Eric Boerwinkle, R. Graham Barr, Stephen S. Rich, Jerome I. Rotter, April P. Carson, Laura M. Raffield, , Michael Rutledge DeBaun

This study investigates the association between mosaic loss of Y chromosome (mLOY) and lung function, emphysema, and epigenetic aging in men across multiple cohorts.

American Journal of Respiratory and Critical Care Medicine · Mar 19, 2026Peer-reviewedGenetic & Genomic Medicine

Uncovering Cross-Cohort Molecular Features with Multi-Omics Integration Analysis

Min-Zhi Jiang, François Aguet, Kristin Ardlie, Jiawen Carmen Chen, Elaine S. Cornell, Dan Cruz, Peter Durda, Stacey Gabriel, Robert Edgardo Gerszten, Xiuqing Guo, Craig W Johnson, Silva Kasela, Leslie A. Lange, Tuuli Lappalainen, Yongmei Liu, , TOPMed Analysis Working Group

This paper improves multi-omics integration by enhancing orthogonality in canonical vectors and demonstrates transferability across cohorts for proteomics and methylomics data.

bioRxiv · Nov 10, 2022 · PreprintGenomics

Temporal dynamics of the multi-omic response to endurance exercise training across tissues

MoTrPAC Study Group, David Amar, Nicole R. Gay, Pierre M. Jean Beltran, Joshua Adkins, José Juan Almagro Armenteros, Euan Angus Ashley, Julián Ávila-Pacheco, Dam Bae, Nasim Bararpour, Charles Burant, Clary B. Clish, Gary Cutter, Surendra Dasari, Courtney Dennis, , Bailey E. Jackson

This study profiles multi-omic changes in multiple tissues of rats during endurance exercise training, identifying molecular adaptations and sex-specific responses across time.

bioRxiv · Sep 21, 2022 · PreprintMolecular Biology

Protein prediction for trait mapping in diverse populations

Ryan Schubert, Elyse Geoffroy, Isabelle Gregga, Ashley J. Mulford, François Aguet, Kristin Ardlie, Robert Edgardo Gerszten, Clary B. Clish, David Van Den Berg, Kent D. Taylor, Peter Durda, W. Craig Johnson, Elaine S. Cornell, Xiuqing Guo, Yongmei Liu, , Heather E. Wheeler

The paper develops genetic predictors of plasma protein abundance in diverse populations and demonstrates their utility in proteome-wide association studies (PWAS) for complex traits.

PLoS ONE · Feb 24, 2022Peer-reviewedGenomics

Whole-Genome Association Analyses of Sleep-disordered Breathing Phenotypes in the NHLBI TOPMed Program

Brian E. Cade, Jiwon Lee, Tamar Sofer, Heming Wang, Man Zhang, Han Chen, Sina A. Gharib, Daniel J. Gottlieb, Xiuqing Guo, Jacqueline M. Lane, Jingjing Liang, Xihong Lin, Hao Mei, Sanjay R. Patel, Shaun Purcell, , Scott E. Devine

The paper reports whole-genome association analyses of sleep-disordered breathing traits in the NHLBI TOPMed program, identifying rare and common variant associations.

Genome Medicine · Aug 26, 2021Peer-reviewedGenetics

Genome Sequencing Unveils a New Regulatory Landscape of Platelet Reactivity

Ali Reza Keramati, Ming‐Huei Chen, Benjamin A.T. Rodriguez, Lisa R. Yanek, Arunoday Bhan, Brady J. Gaynor, Kathleen A. Ryan, Jennifer A. Brody, Xue Yun Zhong, Qiang Wei, Namiko Abe, Gonçalo R. Abecasis, François Aguet, Christine M. Albert, Laura A. Almasy, , Paul S. de Vries

The paper uses whole genome sequencing to identify genetic loci associated with platelet aggregation, including novel variants in RGS18, SVEP1, and PEAR1.

Nature Communications · Jun 15, 2021Peer-reviewedGenomics

Deep-coverage whole genome sequences and blood lipids among 16,324 individuals

Pradeep Natarajan, Gina Marie Peloso, Seyedeh Maryam Zekavat, May E. Montasser, Andrea Ganna, Mark D. Chaffin, Amit V. Khera, Wei Zhou, Jonathan M. Bloom, J Engreitz, Jason Ernst, Jeffrey R. O’Connell, Sanni Ruotsalainen, Maris Alver, Ani W Manichaikul, , Sayantan Das

The paper analyzes whole genome sequences from 16,324 individuals to identify genetic variants associated with blood lipid levels and develops a polygenic score for LDL-C.

Nature Communications · Aug 17, 2018Peer-reviewedGenomics

Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

Seyedeh Maryam Zekavat, Sanni Ruotsalainen, Robert E. Handsaker, Maris Alver, Jonathan Bloom, Timothy Poterba, Cotton Seed, Jason Ernst, Mark D. Chaffin, J Engreitz, Gina Marie Peloso, Ani W Manichaikul, Chaojie Yang, Kathleen A. Ryan, Mao Fu, , Brian Custer

The paper uses whole genome sequencing to identify genetic variants associated with plasma lipoprotein(a) levels and finds high heritability and inter-ethnic differences in Lp(a) risk.

Nature Communications · Jun 28, 2018Peer-reviewedGenomics