Author

Jamie Matthews

University of California, Los Angeles

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· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1

Frequent Co-Authors

Alfonso BuiliD· 1 shared Andrés IngasoniD· 1 shared Andrew Joseph SchorkiD· 1 shared Andy W. DahliD· 1 shared Bjarni Jóhann VilhjálmssoniD· 1 shared Emil M. PederseniD· 1 shared Henrik OhlssoniD· 1 shared Jette SteinbachiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alfonso BuilORCID

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1 paper

Recent·Most cited

PA-FGRS is a novel estimator of pedigree-based genetic liability that complements genotype-based inferences into the genetic architecture of major depressive disorder

Morten Dybdahl Krebs, Kajsa-Lotta Georgii Hellberg, Mischa Lundberg, Vivek Appadurai, Henrik Ohlsson, Emil M. Pedersen, Jette Steinbach, Jamie Matthews, Sonja LaBianca, Xabier Calle, Joeri J. Meijsen, Andrés Ingason, Alfonso Buil, Bjarni Jóhann Vilhjálmsson, Jonathan Flint C, , Andrew Joseph Schork

The paper introduces PA-FGRS, a method to estimate genetic liability from family records, and shows it improves MDD classification and GWAS power when combined with genotypes.

medRxiv · Jun 23, 2023 · PreprintGenetic & Genomic Medicine