Author

Oluf Pedersen

University of Copenhagen

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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Genetic & Genomic Medicine· 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 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Allan R LinnebergiD· 2 shared Niels GrarupiD· 2 shared Torben Hansen· 2 shared Abdonas Tamosiunas· 1 shared Abigail SvedeniD· 1 shared Adelaida Sánchez-Gálvez· 1 shared Adolfo CorreaiD· 1 shared Alanna C. MorrisoniD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Allan R LinnebergORCID

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2 papers

Recent·Most cited

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Julia K. Goodrich, Moriel Singer‐Berk, Rachel Son, Abigail Sveden, Jordan C. Wood, Eleina M. England, Joanne B. Cole, Ben Weisburd, Nick Watts, Lizz Caulkins, Peter Dornbos, Ryan Koesterer, Zachary Zappala, Haichen Zhang, Kristin A. Maloney, , Kerrin S. Small

The paper evaluates penetrance and variable expressivity of monogenic metabolic conditions using exome data from 77,184 individuals, finding that monogenic variants have larger effect sizes than polygenic scores but low penetrance.

Nature Communications · Jun 9, 2021Peer-reviewedGenetic & Genomic Medicine

Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Amand Floriaan Schmidt, Michael Vaclav Holmes, David Preiss, Daniel I. Swerdlow, Spiros Denaxas, Ghazaleh Fatemifar, Rupert Faraway, Chris Finan, R Thomas Lumbers, Albert Henry, Dennis Valentine, Zammy Fairhurst-Hunter, Fernando Pires Hartwig, Bernardo Lessa Horta, Elina Hyppönen, , Albert Hofman D

The paper analyzes genetic variants at the PCSK9 locus to assess their phenotypic effects on lipid levels and disease outcomes, finding concordance with PCSK9 inhibitor trials for myocardial infarction but discordance for type 2 diabetes.

BMC Cardiovascular Disorders · Oct 29, 2019Peer-reviewedGenetics