Author

Evan M. Fletcher

University of California, DavisORCID 0000-0002-9761-3131Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Charles S DeCarliiD· 2 shared Myriam FornageiD· 2 shared Aaron L. GoldmaniD· 1 shared Adrián I. CamposiD· 1 shared Alejandro Arias VásqueziD· 1 shared Alexa BeiseriD· 1 shared Alexander KnaackiD· 1 shared Anders Martin DaleiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Charles S DeCarliORCID

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Author profile →

3 papers

Recent·Most cited

Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries

Luis M. García‐Marín, Adrián I. Campos, Santiago Díaz‐Torres, Jill A. Rabinowitz, Zuriel Ceja, Brittany L. Mitchell, Katrina L. Grasby, Jackson G. Thorp, Ingrid Agartz, Saud Alhusaini, David J. Ames, Philippe Amouyel, Ole A. Andreassen, Konstantinos Arfanakis, Alejandro Arias Vásquez, , Michelle Luciano A

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

Nature Genetics · Oct 21, 2024Peer-reviewedGenetic & Genomic Medicine

New phenotype discovery method by unsupervised deep representation learning empowers genetic association studies of brain imaging

Khush Patel, Ziqian Xie, Hao Yuan, Sheikh Muhammad Saiful Islam, Wanheng Zhang, Assaf Gottlieb, Han Chen, Luca Giancardo, Alexander Knaack, Evan M. Fletcher, Myriam Fornage, Shuiwang Ji, Degui Zhi

This paper introduces an unsupervised deep learning method to derive brain imaging phenotypes from MRI data, identifying new genetic loci associated with these endophenotypes.

medRxiv · Dec 10, 2022 · PreprintGenetic & Genomic Medicine

Brain signatures for neuropsychological and everyday memory achieve high replicability and explanatory power in two data cohorts

Evan M. Fletcher, Sarah Tomaszewski Farias, Charles S DeCarli, Brandon E. Gavett, Keith F. Widaman, Fransia S. De Leon, Dan Mungas

The paper develops brain signatures for memory-related cognition and tests their replicability and explanatory power across two cohorts.

bioRxiv · Feb 16, 2022 · PreprintNeuroscience