Author

John S. Anderson

University of Utah

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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Genetics· 3 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:polygenic risk· 2 Approach:matrix factorization· 1 Organism:mouse· 1 Approach:simulation· 1

Frequent Co-Authors

Anna R. DochertyiD· 3 shared Amanda V. BakianiD· 2 shared Andrey A. ShabaliniD· 2 shared Brooks R KeeshiniD· 2 shared Daniel E. AdkinsiD· 2 shared Danli CheniD· 2 shared Douglas GrayiD· 2 shared Emily DiBlasiiD· 2 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Anna R. DochertyORCID

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Author profile →

4 papers

Recent·Most cited

Genome-wide association study of suicide death and polygenic prediction of clinical antecedents

Anna R. Docherty, Andrey A. Shabalin, Emily DiBlasi, Eric T. Monson, Niamh Mullins, Daniel E. Adkins, Silviu‐Alin Bacanu, Amanda V. Bakian, Sheila E. Crowell, Danli Chen, Todd M. Darlington, William Brandon Callor, Erik D. Christensen, Douglas Gray, Brooks R Keeshin, , Hilary H Coon

This paper conducts a genome-wide association study of suicide death and shows polygenic scores predict suicide case-control status and related psychiatric traits.

American Journal of Psychiatry · Oct 1, 2020Peer-reviewedGenetics

Genomewide significant regions in 43 Utah high-risk families implicate multiple genes involved in risk for completed suicide

Hilary H Coon, Todd M. Darlington, Emily DiBlasi, William Brandon Callor, Elliott Ferris, Alison M. Fraser, Zhe Yu, Nancy William, Sujan Chandra Das, Sheila E. Crowell, Danli Chen, John S. Anderson, Michael Klein, Leslie Jerominski, Dale S. Cannon, , Douglas Gray

The paper identifies 207 genes associated with completed suicide using genomic data from 43 high-risk Utah families, finding four significant variants linked to suicide risk.

Molecular Psychiatry · Oct 23, 2018Peer-reviewedGenetics

Pathway-based polygenic risk implicates GO: 17144 drug metabolism in recurrent depressive disorder

Anna R. Docherty, Arden Moscati, Tim B. Bigdeli, Alexis C. Edwards, Roseann Elizabeth Peterson, Fuzhong Yang, Daniel E. Adkins, John S. Anderson, Jonathan Flint C, Kenneth S. Kendler, Silviu‐Alin Bacanu

The paper uses GWAS data to identify polygenic risk scores for drug metabolism pathways, finding that the GO:17144 pathway is significantly predictive of recurrent depressive disorder.

bioRxiv · Oct 26, 2017 · PreprintGenetics

Motivational, proteostatic and transcriptional deficits precede synapse loss, gliosis and neurodegeneration in the B6.HttQ111/+ model of Huntington’s disease

Robert M. Bragg, Sydney R. Coffey, Rory M. Weston, Seth A. Ament, Jeffrey P. Cantle, Shawn Minnig, Cory C. Funk, Dominic D. Shuttleworth, Emily L. Woods, Bonnie R. Sullivan, Lindsey Jones, Anne Glickenhaus, John S. Anderson, Michael D. Anderson, Stephen B. Dunnett, , Jeffrey B. Carroll

This study shows that B6.HttQ111/+ mice exhibit early transcriptional and proteostatic deficits before synapse loss and neurodegeneration in HD.

Scientific Reports · Feb 8, 2017Peer-reviewedNeuroscience