Author

Justin M. Luningham

Emory UniversityORCID 0000-0002-5037-9149Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Approach:statistical model· 1

Frequent Co-Authors

Jingjing YangiD· 2 shared Aron S. BuchmaniD· 1 shared David A. A BennettiD· 1 shared Holly E. PooreiD· 1 shared Irwin D. WaldmaniD· 1 shared Junyu CheniD· 1 shared Philip L. De JageriD· 1 shared Shizhen TangiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersGenetics

Jingjing YangORCID

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2 papers

Recent·Most cited

Bayesian transcriptome-wide association study method leveraging both cis- and trans- eQTL information through summary statistics

Justin M. Luningham, Junyu Chen, Shizhen Tang, Philip L. De Jager, David A. A Bennett, Aron S. Buchman, Jingjing Yang

This paper introduces BGW-TWAS, a Bayesian method for transcriptome-wide association studies that incorporates both cis- and trans-eQTL information, improving power and identifying novel associations with Alzheimer's disease.

The American Journal of Human Genetics · Sep 21, 2020Peer-reviewedGenetics

Testing Structural Models of Psychopathology at the Genomic Level

Irwin D. Waldman, Holly E. Poore, Justin M. Luningham, Jingjing Yang

This study tests structural models of psychopathology using genetic correlations from GWAS, finding a four-factor model better fits the data than a bifactor model.

World Psychiatry · Sep 15, 2020Peer-reviewedGenomics