M
Michael Boehnke
Researcher at University of Michigan
Publications - 540
Citations - 155551
Michael Boehnke is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Type 2 diabetes. The author has an hindex of 152, co-authored 511 publications receiving 136681 citations. Previous affiliations of Michael Boehnke include SUNY Downstate Medical Center & Norwegian University of Science and Technology.
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Journal Article
Statistical methods for multipoint radiation hybrid mapping.
TL;DR: Alternative nonparametric and maximum-likelihood methods for the analysis of RHs that use information on many loci simultaneously, including information on partially typed hybrids are described, which provides a statistically more efficient solution to the locus-ordering problem.
Journal ArticleDOI
Accurate Inference of Relationships in Sib-Pair Linkage Studies
Michael Boehnke,Nancy J. Cox +1 more
TL;DR: The number of markers required to accurately infer relationships typically encountered in a sib-pair study is explored, as a function of marker allele frequencies, marker spacing, and genotyping error rate, and it is concluded that very accurate inference of relationships can be achieved, given the marker data from even part of a genome scan.
Journal ArticleDOI
Large-scale association analyses identify host factors influencing human gut microbiome composition
Alexander Kurilshikov,Carolina Medina-Gomez,Rodrigo Bacigalupe,Djawad Radjabzadeh,Jun Wang,Jun Wang,Ayse Demirkan,Ayse Demirkan,Caroline I. Le Roy,Juan Antonio Raygoza Garay,Casey T. Finnicum,Xingrong Liu,Daria V. Zhernakova,Marc Jan Bonder,Tue H. Hansen,Fabian Frost,Malte C. Rühlemann,Williams Turpin,Jee-Young Moon,Han-Na Kim,Kreete Lüll,Elad Barkan,Shiraz A. Shah,Myriam Fornage,Joanna Szopinska-Tokov,Zachary D. Wallen,Dmitrii Borisevich,Lars Agréus,Anna Andreasson,Corinna Bang,Larbi Bedrani,Jordana T. Bell,Hans Bisgaard,Michael Boehnke,Dorret I. Boomsma,Robert D. Burk,Annique Claringbould,Kenneth Croitoru,Gareth E. Davies,Gareth E. Davies,Cornelia M. van Duijn,Cornelia M. van Duijn,Liesbeth Duijts,Gwen Falony,Jingyuan Fu,Adriaan van der Graaf,Torben Hansen,Georg Homuth,David A. Hughes,Richard G. IJzerman,Matthew A. Jackson,Matthew A. Jackson,Vincent W. V. Jaddoe,Marie Joossens,Torben Jørgensen,Daniel Keszthelyi,Rob Knight,Markku Laakso,Matthias Laudes,Lenore J. Launer,Wolfgang Lieb,Aldons J. Lusis,Ad A.M. Masclee,Henriette A. Moll,Zlatan Mujagic,Qi Qibin,Daphna Rothschild,Hocheol Shin,Søren J. Sørensen,Claire J. Steves,Jonathan Thorsen,Nicholas J. Timpson,Raul Y. Tito,Sara Vieira-Silva,Uwe Völker,Henry Völzke,Urmo Võsa,Kaitlin H Wade,Susanna Walter,Kyoko Watanabe,Stefan Weiss,Frank Ulrich Weiss,Omer Weissbrod,Harm-Jan Westra,Gonneke Willemsen,Haydeh Payami,Daisy Jonkers,Alejandro Arias Vasquez,Eco J. C. de Geus,Katie A. Meyer,Jakob Stokholm,Eran Segal,Elin Org,Cisca Wijmenga,Hyung Lae Kim,Robert C. Kaplan,Tim D. Spector,André G. Uitterlinden,Fernando Rivadeneira,Andre Franke,Markus M. Lerch,Lude Franke,Serena Sanna,Serena Sanna,Mauro D'Amato,Oluf Pedersen,Andrew D. Paterson,Robert Kraaij,Jeroen Raes,Alexandra Zhernakova +109 more
TL;DR: In this article, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts) and found high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples.
Journal ArticleDOI
Exome array analysis identifies new loci and low-frequency variants influencing insulin processing and secretion
Jeroen R. Huyghe,Anne U. Jackson,Marie P. Fogarty,Martin L. Buchkovich,Alena Stančáková,Heather M. Stringham,Xueling Sim,Lingyao Yang,Christian Fuchsberger,Henna Cederberg,Peter S. Chines,Tanya M. Teslovich,Jane Romm,Hua Ling,Ivy McMullen,Roxann G. Ingersoll,Elizabeth W. Pugh,Kimberly F. Doheny,Benjamin M. Neale,Benjamin M. Neale,Mark J. Daly,Mark J. Daly,Johanna Kuusisto,Laura J. Scott,Hyun Min Kang,Francis S. Collins,Gonçalo R. Abecasis,Richard M. Watanabe,Michael Boehnke,Markku Laakso,Karen L. Mohlke +30 more
TL;DR: Exome array genotyping is a valuable approach to identify low-frequency variants that contribute to complex traits and it is demonstrated that the interpretation of single-variant and gene-based tests needs to consider the effects of noncoding SNPs both nearby and megabases away.
Journal Article
Allele frequency estimation from data on relatives.
TL;DR: A method for allele frequency estimation for data on relatives that is based on standard methods of pedigree analysis that makes use of all available marker information while correctly taking into account the dependence between relatives is described.