Author

Philip D. Harvey

University of MiamiORCID 0000-0002-9501-9366Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Organism:human· 6 Research Focus:GWAS / association mapping· 4 Assay:GWAS summary statistics· 4 Assay:electronic health records· 3 Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Research Focus:differential expression· 1

Frequent Co-Authors

Ayman H. FanousiD· 4 shared Mihaela AslaniD· 4 shared Tim B. BigdeliiD· 4 shared Georgios VoloudakisiD· 3 shared Panos RoussosiD· 3 shared Peter B. BarriD· 3 shared Roseann Elizabeth PetersoniD· 3 shared Sandra Sanchez‐RoigeiD· 3 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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4 shared papersGenetic & Genomic Medicine

Ayman H. FanousORCID

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Genomic and transcriptomic insights into antipsychotic-induced changes in total cholesterol and body mass index in a multi-ancestry cohort of the US veterans

Hamed Kazemi, John E. Drake, Silviu‐Alin Bacanu, Benjamin H. McMahon, Khushbu Agarwal, Alejandro Zuniga, Sutanay Choudhury, Hamed Abbaszadegan, Sayera Dhaubhadel, Kory A. Johnson, Julie A. Kreyenbuhl, Stephen R. Marder, Philip D. Harvey, Vladimir I. Vladimirov, Million Veterans Program, , Ayman H. Fanous

The paper conducts a GWAS on antipsychotic-induced changes in total cholesterol and BMI in a multi-ancestry cohort, identifying genetic loci and pathways associated with these metabolic effects.

medRxiv · Jul 22, 2026 · PreprintGenetic & Genomic Medicine

Combinatorial effects of gene dosage, polygenic background and environment on complex traits

Molly Sacks, Marieke Klein, Tim Bigdeli, Mart Kals, Matthew T. Oetjens, Florian Bénitière, Jacquelyn Johnson, Adam Maihofer, Margit Nõukas, Michael Francis, Bryan Gorman, Iskander Said, Giulio Genovese, Georgios Voloudakis, Kyriacos Markianos, , Jonathan L. Sebat

The paper examines how gene dosage, polygenic background, and environment influence complex traits like height and BMI using large-scale data from multiple cohorts.

medRxiv · May 1, 2026 · PreprintGenetic & Genomic Medicine

The Externalizing Spectrum and Suicide Risk: Insights from Genomics and Electronic Health Records in over 500,000 Veterans

Peter B. Barr, Mallory E. Stephenson, Holly E. Poore, Chris Chatzinakos, Maissa Trabilsy, Xuejun Qin, Allison E. Ashley‐Koch, Elizabeth R. Hauser, Jacquelyn Leigh Meyers, Roseann Elizabeth Peterson, Sandra Sanchez‐Roige, Travis T. Mallard, Danielle M. Dick, K. Paige Harden, Mihaela Aslan, , Nathan A. Kimbrel

This study identifies a genetic link between externalizing traits and suicide risk using genomic data and electronic health records from over 500,000 veterans.

medRxiv · Aug 19, 2025 · PreprintGenetic & Genomic Medicine

Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort

Peter B. Barr, Tim B. Bigdeli, Jacquelyn Leigh Meyers, Roseann Elizabeth Peterson, Sandra Sanchez‐Roige, Travis T. Mallard, Danielle M. Dick, K. Paige Harden, Anna V. Wilkinson, David P. Graham, David A. Nielsen, Alan C. Swann, Rachele K. Lipsky, Thomas R. Kosten, Mihaela Aslan, , Aimee R. Mayeda

This study identifies correlates of risk for disinhibited behaviors in veterans using polygenic scores and electronic health records, finding strong associations with substance use disorders and related health outcomes.

JAMA Psychiatry · Nov 8, 2023Peer-reviewedGenetic & Genomic Medicine

Detecting and Adjusting for Hidden Biases due to Phenotype Misclassification in Genome-Wide Association Studies

David Burstein, Gabriel E. Hoffman, Sonali Gupta, Suzannah De Almeida, Deepika Dayal Mathur, Sanan Venkatesh, Karen Therrien, Ayman H. Fanous, Tim B. Bigdeli, Philip D. Harvey, Panos Roussos, Georgios Voloudakis

This paper introduces PheMED, a tool to quantify effect size dilution in GWAS due to phenotypic misclassification, and demonstrates its applications in improving meta-analysis.

medRxiv · Jan 17, 2023 · PreprintGenetic & Genomic Medicine

Genome-wide association study meta-analysis of suicide attempt identifies twelve genome-wide significant loci and implicates genetic risks for specific health factors

Anna R. Docherty, Niamh Mullins, Allison E. Ashley‐Koch, Xuejun Qin, Jonathan R. I. Coleman, Andrey A. Shabalin, Jooeun Kang, Balasz Murnyak, Frank R. Wendt, Mark J. Adams, Adrián I. Campos, Emily DiBlasi, Janice M. Fullerton, Henry R. Kranzler, Amanda V. Bakian, , Laura M. Thornton

This paper conducts a multi-ancestry GWAS meta-analysis of suicide attempt, identifying 12 genome-wide significant loci and finding shared genetic risks with ADHD, smoking, and risk tolerance.

medRxiv · Jul 3, 2022 · PreprintGenetic & Genomic Medicine

Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression in the VA Health Care System

Tim B. Bigdeli, Georgios Voloudakis, Peter B. Barr, Bryan R. Gorman, Giulio Genovese, Roseann Elizabeth Peterson, David Burstein, Vlad I. Velicu, Yuli Li, Rishab Gupta, Manuel Mattheisen, Simone Tomasi, Nallakkandi Rajeevan, Frederick G. Sayward, Krishnan Radhakrishnan, , Panos Roussos

The paper validates polygenic risk scores for schizophrenia, bipolar disorder, and depression using VA EHR data and shows their association with disease risk and hospitalization.

medRxiv · Feb 16, 2022 · PreprintGenetic & Genomic Medicine