Author

Tanya M. Teslovich

Regeneron (United States)

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· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Assay:whole-exome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:simulation· 1

Frequent Co-Authors

Colm T. O’DushlaineiD· 3 shared Aris BarasiD· 2 shared David J. CareyiD· 2 shared Frederick E. Dewey· 2 shared Hyun Min KangiD· 2 shared Joseph B. LeaderiD· 2 shared Adolfo CorreaiD· 1 shared Alan R. ShuldineriD· 1 shared

Activity by Year

2018-2018 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersGenetics

Colm T. O’DushlaineORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintJul 31, 2018

Genetic discovery and translational decision support from exome sequencing of 20,791 type 2 diabetes cases and 24,440 controls from five ancestries

Jason A. Flannick, Josep Maria Mercader, Christian Fuchsberger…·Markku Laakso

This study identifies rare genetic variants associated with type 2 diabetes using exome sequencing of 20,791 cases and 24,440 controls, and provides a Bayesian framework to improve variant prioritization.

3 citations

humanwhole-exome sequencing

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GeneticsNature GeneticsPeer-reviewedJul 26, 2018

Genome-wide association study of 1 million people identifies 111 loci for atrial fibrillation

Jonas Bille Nielsen, Rósa B. Þórólfsdóttir, Lars G. Fritsche…·Cristen J. Willer

This study identifies 111 genetic loci and 163 risk variants associated with atrial fibrillation using a GWAS of over 1 million individuals.

876 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsThe American Journal of Human GeneticsPeer-reviewedMay 1, 2018

Profiling and leveraging relatedness in a precision medicine cohort of 92,455 exomes

Jeffrey C. Staples, Evan K. Maxwell, Nehal Gosalia…·Jeffrey G. Reid

The paper analyzes cryptic relatedness in a large exome cohort, identifies numerous close relationships, reconstructs pedigrees, and demonstrates their utility in improving mutation phasing and identifying de novo mutations.

68 citationstop 3%

humanwhole-exome sequencing

𝕏 PostBluesky