Author

Kristen J. Sutton

University of Colorado AnschutzORCID 0000-0002-3704-3560Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetics· 2 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 4 Assay:GWAS summary statistics· 3 Research Focus:GWAS / association mapping· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Joanne B. ColeiD· 3 shared Adrian M. Stewart· 2 shared Alaa Radwan· 2 shared Alan W. Franklin· 2 shared Andrew Monte· 2 shared Ann Nadrash· 2 shared Anna Tanaka· 2 shared Audrey E. HendricksiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetics

Joanne B. ColeORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Primary-Level Meta-Analysis of Diversity Outbred Mice Identifies a Fasting Plasma Trimethylamine N-Oxide (TMAO) Locus Modified by Sex and Diet

Kristen J. Sutton, Levi W. Evans, Erik Gertz, Dawson Budke, M. Nazmul Huda, Phoebe Yam, Myungsuk Kim, Jennifer M. Rutkowsky, Diana M. Shih, Jaana Hartiala, Daniel Pomp, Aldons Jake Lusis, Hooman Allayee, Brian J. Bennett

The paper identifies a TMAO locus on mouse chromosome 12 modified by sex and diet through a meta-analysis of 1,482 Diversity Outbred mice.

bioRxiv · Jun 24, 2026 · PreprintGenetics

X chromosome association analyses using multiple models identifies 18 genetic loci influencing dietary intake in UK Biobank

Maizy S. Brasher, Kristen J. Sutton, William B. Patterson, Joanne B. Cole

This paper identifies 18 novel X chromosome loci associated with dietary intake traits using multiple X-WAS models in the UK Biobank.

bioRxiv · Apr 27, 2026 · PreprintGenetics

Modeling the genomic architecture of adiposity and anthropometrics across the lifespan

Christopher H. Arehart, Meng Hsuan Lin, Raine A Gibson, Heather D. Anderson, Aquilante CL, Kelsey L. Arbogast, Ian M. Brooks, Tonya M. Brunetti, Judith Brutus-Lestin, Elizabeth E. Burke, Emily M. Casteel, Joanne B. Cole, Curtis R. Coughlin, Kristy Crooks, Jacob Crawford, , Luke M. Evans

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

Nature Communications · Aug 13, 2025Peer-reviewedGenetic & Genomic Medicine

Characterizing substructure via mixture modeling in large-scale genetic summary statistics

Hayley R Stoneman, Adelle Price, Nikole Scribner Trout, Riley Lamont, Souha Tifour, Nikita V. Pozdeyev, Heather D. Anderson, Christina L. Aquilante, Kelsey Arbogast, Christopher H. Arehart, Ian M. Brooks, Tonya M. Brunetti, Judith Brutus-Lestin, Elizabeth E. Burke, Emily M. Casteel, , Katie M. Marker

Summix2 uses mixture modeling to estimate and adjust for substructure in genetic summary data, improving the robustness and equity of research using diverse datasets.

The American Journal of Human Genetics · Jan 16, 2025Peer-reviewedGenomics