D
Daniel Wegmann
Researcher at University of Fribourg
Publications - 80
Citations - 5342
Daniel Wegmann is an academic researcher from University of Fribourg. The author has contributed to research in topics: Population & Approximate Bayesian computation. The author has an hindex of 31, co-authored 72 publications receiving 4703 citations. Previous affiliations of Daniel Wegmann include University of California, Los Angeles & Swiss Institute of Bioinformatics.
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Journal ArticleDOI
An Abundance of Rare Functional Variants in 202 Drug Target Genes Sequenced in 14,002 People
Matthew R. Nelson,Daniel Wegmann,Margaret G. Ehm,Darren Kessner,Pamela L. St. Jean,Claudio J. Verzilli,Judong Shen,Zheng-Zheng Tang,Silviu Alin Bacanu,Dana Fraser,Liling Warren,Jennifer L. Aponte,Matthew Zawistowski,Xiao Liu,Hao Zhang,Yong Zhang,Jun Li,Yun Li,Li Li,Peter Woollard,Simon Topp,Matthew D. Hall,Keith Nangle,Jun Wang,Gonçalo R. Abecasis,Lon R. Cardon,Sebastian Zöllner,John C. Whittaker,Stephanie L. Chissoe,John Novembre,Vincent Mooser +30 more
TL;DR: It is concluded that because of rapid population growth and weak purifying selection, human populations harbor an abundance of rare variants, many of which are deleterious and have relevance to understanding disease risk.
Journal ArticleDOI
Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis
Eli A. Stahl,Daniel Wegmann,Gosia Trynka,Javier Gutierrez-Achury,Ron Do,Ron Do,Benjamin F. Voight,Peter Kraft,Robert Chen,Robert Chen,Henrik Källberg,Fina A S Kurreeman,Fina A S Kurreeman,Diabetes Genetics Replication,Diabetes Genetics Replication,Sekar Kathiresan,Sekar Kathiresan,Cisca Wijmenga,Peter K. Gregersen,Lars Alfredsson,Katherine A. Siminovitch,Jane Worthington,Paul I.W. de Bakker,Soumya Raychaudhuri,Soumya Raychaudhuri,Robert M. Plenge,Robert M. Plenge +26 more
TL;DR: The genetic architecture underlying genome-wide association study (GWAS) data for rheumatoid arthritis is modeled and a new method using polygenic risk-score analyses to infer the total liability-scale variance explained by associated GWAS SNPs is developed.
Journal ArticleDOI
Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood
TL;DR: The principal idea is to relax the tolerance within MCMC to permit good mixing, but retain a good approximation to the posterior by a combination of subsampling the output and regression adjustment, which will realize substantial computational advances over standard ABC.
Journal ArticleDOI
Early farmers from across Europe directly descended from Neolithic Aegeans
Zuzana Hofmanová,Susanne Kreutzer,Garrett Hellenthal,Christian Sell,Yoan Diekmann,David Díez-del-Molino,Lucy van Dorp,Saioa López,Athanasios Kousathanas,Athanasios Kousathanas,Vivian Link,Vivian Link,Karola Kirsanow,Lara M. Cassidy,Rui Martiniano,Melanie Strobel,Amelie Scheu,Amelie Scheu,Kostas Kotsakis,Paul Halstead,Sevi Triantaphyllou,Nina Kyparissi-Apostolika,Dushka Urem-Kotsou,Christina Ziota,Fotini Adaktylou,Shyamalika Gopalan,Dean Bobo,Laura Winkelbach,Jens Blöcher,Martina Unterländer,Christoph Leuenberger,Çiler Çilingiroğlu,Barbara Horejs,Fokke Gerritsen,Stephen Shennan,Daniel G. Bradley,Mathias Currat,Krishna R. Veeramah,Daniel Wegmann,Daniel Wegmann,Mark G. Thomas,Christina Papageorgopoulou,Joachim Burger +42 more
TL;DR: This study demonstrates a direct genetic link between Mediterranean and Central European early farmers and those of Greece and Anatolia, extending the European Neolithic migratory chain all the way back to southwestern Asia.
Journal ArticleDOI
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Daniel Wegmann,Daniel Wegmann,Christoph Leuenberger,Samuel Neuenschwander,Laurent Excoffier,Laurent Excoffier +5 more
TL;DR: ABCtoolbox allows a user to perform all the necessary steps of a full ABC analysis, from parameter sampling from prior distributions, data simulations, computation of summary statistics, estimation of posterior distributions, model choice, validation of the estimation procedure, and visualization of the results.