Author

COGA Collaborators

Philadelphia VA Medical Center

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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Genetic & Genomic Medicine· 3 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 5 Assay:GWAS summary statistics· 5 Organism:human· 5 Approach:statistical model· 5 Research Focus:fine-mapping· 2 Research Focus:polygenic risk· 2 Approach:benchmark study· 1 Approach:matrix factorization· 1

Frequent Co-Authors

Danielle M. DickiD· 4 shared Joel E. GelernteriD· 4 shared Emma C. JohnsoniD· 3 shared Henry R. KranzleriD· 3 shared Holly E. PooreiD· 3 shared Peter B. BarriD· 3 shared Travis T. MallardiD· 3 shared Abraham A. PalmeriD· 2 shared

Activity by Year

2020-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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

Curved chords = mutual co-authorship

4 shared papersGenetic & Genomic Medicine

Danielle M. DickORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Multi-ancestry genome-wide association study and meta-analysis of stimulant use disorder reveals biology and relationships to other psychiatric disorders

S L Beck, Joseph D. Deak, Daniel F. Levey, Tian Ge, Paul W. Jeffries, Dongbing Lai, Travis T. Mallard, Louisa J Degenhardt, Penelope A. Lind, Trine Tollerup Nielsen, Justin D. Tubbs, Leah Flury Wetherill, Emma C. Johnson, Alexander Samir Hatoum, COGA Collaborators, , Joel E. Gelernter

This paper conducts a multi-ancestry GWAS of stimulant use disorder, identifies 19 genome-wide significant loci, and finds genetic correlations with other psychiatric and substance use disorders.

medRxiv · Jun 10, 2026 · PreprintGenetic & Genomic Medicine

Genomic insights into substance use and disinhibitory disorders

Camille Michèle Williams, Holly E. Poore, Diego Londoño-Correa, Yuchen Ning, Natasia S. Courchesne‐Krak, Maia Choi, Justin D. Tubbs, Matthew Rosenblatt, Peter T. Tanksley, Fazil Alıev, Nathaniel Y. Bell, Joseph D. Deak, Jean Gonzalez, Mariela V. Jennings, Emma C. Johnson, , Travis T. Mallard

This study identifies 1,294 genomic regions and 961 effector genes associated with externalizing disorders, revealing neural mechanisms and polygenic predictors of variance in these conditions.

medRxiv · Feb 9, 2026 · PreprintGenetic & Genomic Medicine

Substance use disorders exhibit unique and disorder specific genetic associations with externalizing and internalizing psychopathology

Holly E. Poore, Maia Choi, David Zald, Denise A. Hien, COGA Collaborators, Peter B. Barr, Danielle M. Dick

This study identifies genetic relationships between substance use disorders and externalizing/internalizing psychopathology, finding that internalizing contributes uniquely to SUD risk.

medRxiv · Jan 22, 2026 · PreprintGenetic & Genomic Medicine

Robust inference and widespread genetic correlates from a large-scale genetic association study of human personality

Ted Schwaba, Margaret L. Clapp Sullivan, Wonuola A. Akingbuwa, Kerli Ilves, Peter T. Tanksley, Camille Michèle Williams, Yavor Dragostinov, Wangjingyi Liao, Lindsay S. Ackerman, Josephine C. M. Fealy, Gibran Hemani, Javier de la Fuente, Priya Gupta, Murray B. Stein, Joel E. Gelernter, , Aino I. L. Saarinen

This study identifies 1,257 genetic variants associated with human personality traits using large-scale GWAS and finds widespread genetic correlations with behaviors and life outcomes.

bioRxiv · May 16, 2025 · PreprintGenomics

Multivariate genomic analysis of 1.5 million people identifies genes related to addiction, antisocial behavior, and health

Richard Karlsson Linnér, Travis T. Mallard, Peter B. Barr, Sandra Sanchez‐Roige, James W. Madole, Morgan N. Driver, Holly E. Poore, Andrew David Grotzinger, Jorim J. Tielbeek, Emma C. Johnson, Mengzhen Liu, Hang Zhou, Rachel L. Kember, Joëlle A. Pasman, Karin J. H. Verweij, , Danielle M. Dick

The paper uses multivariate genomic analysis of 1.5 million people to identify genetic loci related to addiction, antisocial behavior, and health, finding over 500 loci enriched for brain-expressed genes.

bioRxiv · Oct 16, 2020 · PreprintGenetics