Brett Vanderwerff
University of Michigan
4 Papers
Brett Vanderwerff is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 2, co-authored 4 publications.
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Papers
Global Biobank Meta-analysis Initiative: powering genetic discovery across human diseases
Wei Zhou,Wei Zhou,Masahiro Kanai,Kuan-Han H. Wu,Rasheed Humaira,Rasheed Humaira,Rasheed Humaira,Kristin Tsuo,Kristin Tsuo,Jibril B Hirbo,Ying Wang,Ying Wang,Arjun Bhattacharya,Huiling Zhao,Shinichi Namba,Ida Surakka,Brooke N. Wolford,Valeria Lo Faro,Valeria Lo Faro,Valeria Lo Faro,Esteban A Lopera-Maya,Kristi Läll,Marie-Julie Favé,Sinéad B. Chapman,Juha Karjalainen,Mitja I. Kurki,Maasha Mutaamba,Ben Michael Brumpton,Sameer Chavan,Tzu-Ting Chen,Michelle Daya,Yi Ding,Yi Ding,Yen-Chen Anne Feng,Christopher R. Gignoux,Sarah E. Graham,Whitney E. Hornsby,Nathan Ingold,Ruth E. Johnson,Ruth E. Johnson,Triin Laisk,Kuang Lin,Jun Lv,Iona Y Millwood,Priit Palta,Priit Palta,Anita Pandit,Michael Preuss,Unnur Thorsteinsdottir,Jasmina Uzunovic,Matthew Zawistowski,Xue Zhong,Archie Campbell,Kristy Crooks,Geertruida H. de Bock,Nicholas J. Douville,Sarah Finer,Lars G. Fritsche,Chris Griffiths,Yu Guo,Karen A. Hunt,Takahiro Konuma,Takahiro Konuma,Riccardo E. Marioni,Jansonius Nomdo,Snehal Patil,Nicholas M. Rafaels,Anne Richmond,Jonathan A. Shortt,Peter Straub,Ran Tao,Brett Vanderwerff,Kathleen C. Barnes,Marike Boezen,Zhengming Chen,Chia-Yen Chen,Judy H. Cho,George Davey Smith,Hilary K. Finucane,Hilary K. Finucane,Lude Franke,Eric R. Gamazon,Eric R. Gamazon,Andrea Ganna,Andrea Ganna,Andrea Ganna,Tom R. Gaunt,Tian Ge,Hailiang Huang,Hailiang Huang,Jennifer E. Huffman,Clara Lajonchere,Matthew Law,Liming Li,Cecilia M. Lindgren,Ruth J. F. Loos,Stuart MacGregor,Koichi Matsuda,Catherine M. Olsen,David J. Porteous,Jordan A. Shavit,Harold Snieder,Richard C. Trembath,Judith M. Vonk,David C. Whiteman,Stephen J. Wicks,Cisca Wijmenga,John Wright,Jie Zheng,Xiang Zhou,Philip Awadalla,Philip Awadalla,Michael Boehnke,Nancy J. Cox,Daniel H. Geschwind,Caroline Hayward,Kristian Hveem,Eimear E. Kenny,Yen-Feng Lin,Yen-Feng Lin,Reedik Mägi,Hilary C. Martin,Sarah E. Medland,Yukinori Okada,Aarno Palotie,Aarno Palotie,Aarno Palotie,Bogdan Pasaniuc,Serena Sanna,Serena Sanna,Jordan W. Smoller,Kari Stefansson,David A. van Heel,Robin G. Walters,Sebastian Zoellner,BioMe,BioVU,Estonian Biobank,FinnGen,Generation Scotland,LifeLines,Mass General Brigham Biobank,Michigan Genomics Initiative,Qimr Berghofer Biobank,Taiwan Biobank,UK Biobank,Alicia R. Martin,Alicia R. Martin,Cristen J. Willer,Mark J. Daly,Benjamin M. Neale,Benjamin M. Neale +151 more
TL;DR: The Global Biobank Meta-analysis Initiative (GBMI) as mentioned in this paper is a collaborative network of 19 biobanks from 4 continents representing more than 2.1 million consented individuals with genetic data linked to electronic health records.
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Why are rare variants hard to impute? Coalescent models reveal theoretical limits in existing algorithms.
TL;DR: A coalescent model of imputing rare variants, leveraging the joint genealogy of the sample to be imputed and reference individuals is developed, providing a framework for developing new imputation algorithms and for interpreting rare variant association analyses.
Genome-wide analysis of 944,133 individuals provides insights into the etiology of hemorrhoidal disease
Tenghao Zheng,Tenghao Zheng,David Ellinghaus,David Ellinghaus,Simonas Juzenas,François Cossais,Greta Burmeister,Gabriele Mayr,Isabella Friis Jørgensen,Maris Teder-Laving,Anne Heidi Skogholt,Karina Banasik,Thomas Becker,Frank Bokelmann,Søren Brunak,Stephan Buch,Hartmut Clausnizer,Christian Datz,Frauke Degenhardt,Marek Doniec,Christian Erikstrup,Tõnu Esko,Michael Forster,Norbert Frey,Lars G. Fritsche,Maiken Elvestad Gabrielsen,Tobias Gräßle,Tobias Gräßle,Andrea Gsur,Justus Gross,Jochen Hampe,Alexander Hendricks,Sebastian Hinz,Kristian Hveem,Johannes Jongen,Ralf Junker,Tom H. Karlsen,Georg Hemmrich-Stanisak,Wolfgang Kruis,Juozas Kupcinskas,Tilman Laubert,Matthias Laudes,Fabian H. Leendertz,Fabian H. Leendertz,Wolfgang Lieb,Verena Limperger,Nikolaos Margetis,Kerstin Mätz-Rensing,Christopher Georg Németh,Eivind Ness-Jensen,Eivind Ness-Jensen,Eivind Ness-Jensen,Ulrike Nowak-Göttl,Anita Pandit,Ole Birger Pedersen,Hans Günter Peleikis,Kenneth Peuker,Cristina Leal Rodríguez,Malte C. Rühlemann,Bodo Schniewind,Martin Schulzky,Jurgita Skieceviciene,Jürgen Tepel,Laurent F. Thomas,Florian Uellendahl-Werth,Henrik Ullum,Ilka Vogel,Henry Völzke,Lorenzo von Fersen,Witigo von Schoenfels,Brett Vanderwerff,Julia Wilking,Michael Wittig,Sebastian Zeissig,Myrko Zobel,Matthew Zawistowski,Vladimir Vacic,Olga V. Sazonova,Elizabeth S. Noblin,Thilo Wedel,Volker Kahlke,Clemens Schafmayer,Mauro D'Amato,Mauro D'Amato,Mauro D'Amato,Andre Franke +85 more
TL;DR: Hemorrhoidal disease has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction, a GWAS meta-analysis of 218,920 HEM patients and 725,213 controls of European ancestry concludes.
Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease
Tenghao Zheng,David Ellinghaus,David Ellinghaus,Simonas Juzenas,Simonas Juzenas,François Cossais,Greta Burmeister,Gabriele Mayr,Isabella Friis Jørgensen,Maris Teder-Laving,Anne Heidi Skogholt,Sisi Chen,Peter R. Strege,Go Ito,Go Ito,Karina Banasik,Thomas Becker,Frank Bokelmann,Søren Brunak,Stephan Buch,Hartmut Clausnitzer,Christian Datz,Frauke Degenhardt,Marek Doniec,Christian Erikstrup,Tõnu Esko,Michael Forster,Norbert Frey,Lars G. Fritsche,Maiken Elvestad Gabrielsen,Tobias Gräßle,Tobias Gräßle,Andrea Gsur,Justus Gross,Jochen Hampe,Alexander Hendricks,Sebastian Hinz,Kristian Hveem,Johannes Jongen,Ralf Junker,Tom H. Karlsen,Georg Hemmrich-Stanisak,Wolfgang Kruis,Juozas Kupcinskas,Tilman Laubert,Philip Rosenstiel,Christoph Röcken,Matthias Laudes,Fabian H. Leendertz,Fabian H. Leendertz,Wolfgang Lieb,Verena Limperger,Nikolaos Margetis,Kerstin Mätz-Rensing,Christopher Georg Németh,Eivind Ness-Jensen,Ulrike Nowak-Göttl,Anita Pandit,Ole Birger Pedersen,Hans Günter Peleikis,Kenneth Peuker,Cristina Leal Rodríguez,Malte C. Rühlemann,Bodo Schniewind,Martin Schulzky,Jurgita Skieceviciene,Jürgen Tepel,Laurent F. Thomas,Florian Uellendahl-Werth,Henrik Ullum,Ilka Vogel,Henry Völzke,Lorenzo von Fersen,Witigo von Schönfels,Brett Vanderwerff,Julia Wilking,Michael Wittig,Sebastian Zeissig,Myrko Zobel,Matthew Zawistowski,Vladimir Vacic,Olga V. Sazonova,Elizabeth S. Noblin,Gianrico Farrugia,Arthur Beyder,Thilo Wedel,Volker Kahlke,Clemens Schafmayer,Mauro D'Amato,Andre Franke +89 more
TL;DR: The first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for Haemorrhoidal disease (HEM) was conducted by as mentioned in this paper.