Author

Michael S Kobor

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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Genomics· 3

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1

Frequent Co-Authors

Sarah M Mah· 3 shared Brenna M Henn· 2 shared Hunter B Fraser· 2 shared Julia L MacIsaac· 2 shared Marcus W Feldman· 2 shared Oana Carja· 2 shared Alain FromentiD· 1 shared Etienne Patin· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersGenomics

Sarah M Mah

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3 papers

Recent·Most cited

Trends in DNA methylation with age replicate across diverse human populations

Shyamalika Gopalan, Oana Carja, Maud Fagny, Etienne Patin, Justin W Myrick, Lisa McEwen, Sarah M Mah, Michael S Kobor, Alain Froment, Marcus W Feldman, Lluis Quintana-Murci, Brenna M Henn

The paper identifies age-related DNA methylation patterns in African hunter-gatherer populations and shows that genetic variation at meQTLs influences these associations.

bioRxiv · Sep 2, 2016Genomics

Worldwide patterns of human epigenetic variation

Oana Carja, Julia L MacIsaac, Sarah M Mah, Brenna M Henn, Michael S Kobor, Marcus W Feldman, Hunter B Fraser

The paper measures DNA methylation across diverse human populations and finds it is more population-specific than gene expression levels, suggesting stronger genetic control of methylation.

bioRxiv · Jul 5, 2015Genomics

A pooling-based approach to mapping genetic variants associated with DNA methylation

Irene Miriam Kaplow, Julia L MacIsaac, Sarah M Mah, Lisa M McEwen, Michael S Kobor, Hunter B Fraser

This paper introduces a pooling-based method to map genetic variants associated with DNA methylation, achieving genome-wide coverage and higher statistical power while reducing cost and variability.

bioRxiv · Apr 15, 2015Genomics