Author

Daniel M. Evans

University of British ColumbiaORCID 0000-0002-8188-8667Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Anita DattaiD· 1 shared Aspasia Michoulas· 1 shared Bruce BjörnsoniD· 1 shared C DeGuzman· 1 shared Clara van KarnebeekiD· 1 shared Corneliu BolboceaniD· 1 shared Cyrus G. BoelmaniD· 1 shared Elena Lopez‐RangeliD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Anita DattaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 5, 2020

ACE 2 Coding Variants: A Potential X-linked Risk Factor for COVID-19 Disease

William T. Gibson, Daniel M. Evans, Jianghong An, Steven J.M. Jones

The paper investigates rare ACE2 coding variants as potential X-linked risk factors for COVID-19, showing their frequency and impact on SARS-CoV-2 binding in different populations.

42 citations

humanstatistical model

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GeneticsFrontiers in NeurologyPeer-reviewedMay 21, 2019

Diagnostic Yield And Treatment Impact Of Targeted Exome Sequencing In Early-Onset Epilepsy

Michelle K. Demos, Ilaria Guella, C DeGuzman…·Matthew James Farrer

This study evaluates the diagnostic yield and treatment impact of targeted whole-exome sequencing in early-onset epilepsy, finding a 34% diagnostic rate with faster diagnosis and cost savings when used early.

100 citationstop 1%

humanwhole-exome sequencing

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