Author

Paul J McLaren

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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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Amalio TelentiiD· 2 shared Jacques FellayiD· 2 shared Antonio RauselliD· 1 shared Chanson Brumme· 1 shared Ioannis Xenarios· 1 shared Istvan Bartha· 1 shared Pejman MohammadiiD· 1 shared Richard Harrigan· 1 shared

Activity by Year

2014-2017 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 19 mutual co-author links

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2 shared papersGenetics

Amalio TelentiORCID

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2 papers

Recent·Most cited

GeneticsPLOS Computational BiologyPeer-reviewedFeb 9, 2017

Estimating the respective contributions of human and viral genetic variation to HIV control

Istvan Bartha, Paul J McLaren, Chanson Brumme…·Jacques Fellay

The paper estimates that viral genetic factors explain 29% and human factors 8.4% of variation in HIV-1 set point viral load, with a total heritability of 30%.

DOI 10.1371/journal.pcbi.1005339

humanvirus

BioinformaticsPLoS Computational BiologyPeer-reviewedJul 24, 2014

Analysis of stop-gain and frameshift variants in human innate immunity genes

Antonio Rausell, Pejman Mohammadi, Paul J McLaren…·Amalio Telenti

The paper develops a Bayesian classification scheme to rank the pathogenicity of stop-gain and frameshift variants in innate immunity genes using sequence-based features and validates it against known disease variants.

DOI 10.1371/journal.pcbi.1003757

humanwhole-exome sequencing