Author

the Million Veteran Program

Brown University

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

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 4 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 5 Research Focus:GWAS / association mapping· 4 Approach:statistical model· 4 Assay:GWAS summary statistics· 3 Approach:benchmark study· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

J. Michael GazianoiD· 4 shared Joel E. GelernteriD· 3 shared Murray B. SteiniD· 3 shared Daniel F. LeveyiD· 2 shared Joseph D. DeakiD· 2 shared Marco GalimbertiiD· 2 shared Qin HuiiD· 2 shared Renato A PolimantiiD· 2 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersGenetic & Genomic Medicine

J. Michael GazianoORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Introducing return of results in the Million Veteran Program: Design and pilot results of the MVP-ROAR Familial Hypercholesterolemia Study

Jason L. Vassy, Charles A. Brunette, Thomas Yi, Alicia Harrison, Mark P. Cardellino, Themistocles L. Assimes, Kurt Derek Christensen, Poornima Devineni, J. Michael Gaziano, Xin Gong, Qin Hui, Joshua W. Knowles, Sumitra Muralidhar, Pradeep Natarajan, Saiju Pyarajan, , the Million Veteran Program

The paper describes the design and pilot results of a study returning genetic results for familial hypercholesterolemia to MVP participants, showing a reduction in LDL-C after genetic counseling.

American Heart Journal · May 17, 2024Peer-reviewedGenetic & Genomic Medicine

Correction for Collider Bias in the Genome-wide Association Study of Diabetes-Related Heart Failure due to Bidirectional Relationship between Heart Failure and Type 2 Diabetes

Yan V. Sun, Chang Liu, Qin Hui, Jin J. Zhou, J. Michael Gaziano, Peter W.F. Wilson, the Million Veteran Program, Jacob Joseph, Lawrence S. Phillips

This paper corrects collider bias in a GWAS of diabetes-related heart failure, identifying novel loci and showing bidirectional genetic associations between T2D and HF.

medRxiv · Sep 22, 2023 · PreprintGenetic & Genomic Medicine

Genome-wide association study investigating short and long sleep duration: a cross-population meta-analysis

Isabelle Austin-Zimmerman, Daniel F. Levey, Olga Giannakopoulou, Joseph D. Deak, Marco Galimberti, Hang Zhou, Spiros Denaxas, Haritz Irizar, Karoline B. Kuchenbaecker, Andrew McQuillin, the Million Veteran Program, John Concato, Daniel J. Buysse, J. Michael Gaziano, Daniel J. Gottlieb, , Joel E. Gelernter

This paper identifies genetic loci associated with short and long sleep duration through a cross-population meta-analysis and explores their genetic correlations and causal relationships with depression.

medRxiv · Sep 9, 2022 · PreprintGenetic & Genomic Medicine

Genome-wide investigation of maximum habitual alcohol intake (MaxAlc) in 247,755 European and African Ancestry U.S. Veterans informs the relationship between habitual alcohol consumption and alcohol use disorder.

Joseph D. Deak, Daniel F. Levey, Frank R. Wendt, H. Zhou, Marco Galimberti, Henry R. Kranzler, J. Michael Gaziano, Murray B. Stein, Renato A Polimanti, The Million Veteran Program, J. Gelernter

This paper identifies 15 genome-wide significant loci for maximum habitual alcohol intake (MaxAlc) in 247,755 U.S. Veterans and shows strong genetic correlations with alcohol use disorder and psychiatric traits.

medRxiv · May 2, 2022 · PreprintGenetic & Genomic Medicine

Transcriptomic Organization of Human Posttraumatic Stress Disorder

Matthew J. Girgenti, Jiawei Wang, Dingjue Ji, Dianne A. Cruz, the Million Veteran Program, Murray B. Stein, Joel E. Gelernter, Keith Young, Bertrand R. Huber, Douglas E. Williamson, Matthew J. Friedman, John H. Krystal, Hongyu Zhao, Ronald S. Duman

This study identifies transcriptomic changes and genetic factors associated with PTSD using postmortem brain tissue and GWAS data, revealing sex differences and divergence from MDD.

Nature Neuroscience · Dec 21, 2020Peer-reviewedGenomics