Emil Pedersen
Aarhus University
13 Papers
2 Citations
Emil Pedersen is an academic researcher from Aarhus University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 2 publications.
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Papers
Accounting for age of onset and family history improves power in genome-wide association studies
Emil Pedersen,Esben Agerbo,Oleguer Plana-Ripoll,Jakob Grove,Julie Werenberg Dreier,Katherine L. Musliner,Marie Bækvad-Hansen,Georgios Athanasiadis,Andrew J. Schork,Jonas Bybjerg-Grauholm,David M. Hougaard,Thomas Werge,Merete Nordentoft,Ole Mors,Søren Dalsgaard,Jakob Christensen,Anders D. Børglum,Preben Bo Mortensen,John J. McGrath,Florian Privé,Bjarni J. Vilhjálmsson +20 more
TL;DR: This article proposed LT-FH++, an extension of the liability threshold model conditioned on family history (LT-FH), which jointly accounts for age of onset and sex as well as family history.
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Accounting for age-of-onset and family history improves power in genome-wide association studies
Emil Pedersen,Esben Agerbo,Esben Agerbo,Oleguer Plana-Ripoll,Jakob Grove,Julie Werenberg Dreier,Katherine L. Musliner,Katherine L. Musliner,Marie Bækvad-Hansen,Marie Bækvad-Hansen,Georgios Athanasiadis,Andrew J. Schork,Andrew J. Schork,Jonas Bybjerg-Grauholm,Jonas Bybjerg-Grauholm,David M. Hougaard,David M. Hougaard,Thomas Werge,Thomas Werge,Thomas Werge,Merete Nordentoft,Merete Nordentoft,Ole Mors,Ole Mors,Søren Dalsgaard,Jakob Christensen,Jakob Christensen,Boerglum A,Boerglum A,Preben Bo Mortensen,Preben Bo Mortensen,John J. McGrath,John J. McGrath,John J. McGrath,Florian Privé,Bjarni J. Vilhjálmsson,Bjarni J. Vilhjálmsson +36 more
TL;DR: In this article, an extension of the liability threshold model conditioned on family history (LT-FH) was proposed, which jointly accounts for age-of-onset and sex, as well as family history.
Publicly Available Privacy-preserving Benchmarks for Polygenic Prediction
Menno J. Witteveen,Emil Pedersen,J. Meijsen,Michael Riis Andersen,Florian Privé,Doug Speed,Bjarni J. Vilhjálmsson +6 more
TL;DR: A publicly available benchmark for polygenic prediction is presented here, which allows researchers to both train and testpolygenic prediction methods using only summary-level information, thus preserving privacy, and can help establish a clear and unbiased standard for future polygenic score methods to compare against.
PA-FGRS is a novel estimator of pedigree-based genetic liability that complements genotype-based inferences into the genetic architecture of major depressive disorder
Mischa Lundberg,Vivek Appadurai,Henrik Ohlsson,Emil Pedersen,J. Steinbach,Julia Matthews,Sonja LaBianca,Xabier Calle Sánchez,J. Meijsen,Andres Ingasson,Alfonso A Buil Demur,Bjarni J. Vilhjálmsson,Jacqueline Flint,Silviu Alin Bacanu,Na Cai,Andrew Dahl,Noah Zaitlen,Thomas Werge,Kenneth S. Kendler,Andrew J. Schork +19 more
TL;DR: In this article , the Pearson-Aitken framework for family genetic risk scores (PA-FGRS) was proposed to estimate individuals' liabilities for major depressive disorder from extended genealogies of partially observed relatives.