Publications by authors named "Matthew Zawistowski"

25Publications

Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility.

Authors:
Maria Teresa Landi D Timothy Bishop Stuart MacGregor Mitchell J Machiela Alexander J Stratigos Paola Ghiorzo Myriam Brossard Donato Calista Jiyeon Choi Maria Concetta Fargnoli Tongwu Zhang Monica Rodolfo Adam J Trower Chiara Menin Jacobo Martinez Andreas Hadjisavvas Lei Song Irene Stefanaki Richard Scolyer Rose Yang Alisa M Goldstein Miriam Potrony Katerina P Kypreou Lorenza Pastorino Paola Queirolo Cristina Pellegrini Laura Cattaneo Matthew Zawistowski Pol Gimenez-Xavier Arantxa Rodriguez Lisa Elefanti Siranoush Manoukian Licia Rivoltini Blair H Smith Maria A Loizidou Laura Del Regno Daniela Massi Mario Mandala Kiarash Khosrotehrani Lars A Akslen Christopher I Amos Per A Andresen Marie-Françoise Avril Esther Azizi H Peter Soyer Veronique Bataille Bruna Dalmasso Lisa M Bowdler Kathryn P Burdon Wei V Chen Veryan Codd Jamie E Craig Tadeusz Dębniak Mario Falchi Shenying Fang Eitan Friedman Sarah Simi Pilar Galan Zaida Garcia-Casado Elizabeth M Gillanders Scott Gordon Adele Green Nelleke A Gruis Johan Hansson Mark Harland Jessica Harris Per Helsing Anjali Henders Marko Hočevar Veronica Höiom David Hunter Christian Ingvar Rajiv Kumar Julie Lang G Mark Lathrop Jeffrey E Lee Xin Li Jan Lubiński Rona M Mackie Maryrose Malt Josep Malvehy Kerrie McAloney Hamida Mohamdi Anders Molven Eric K Moses Rachel E Neale Srdjan Novaković Dale R Nyholt Håkan Olsson Nicholas Orr Lars G Fritsche Joan Anton Puig-Butille Abrar A Qureshi Graham L Radford-Smith Juliette Randerson-Moor Celia Requena Casey Rowe Nilesh J Samani Marianna Sanna Dirk Schadendorf Hans-Joachim Schulze Lisa A Simms Mark Smithers Fengju Song Anthony J Swerdlow Nienke van der Stoep Nicole A Kukutsch Alessia Visconti Leanne Wallace Sarah V Ward Lawrie Wheeler Richard A Sturm Amy Hutchinson Kristine Jones Michael Malasky Aurelie Vogt Weiyin Zhou Karen A Pooley David E Elder Jiali Han Belynda Hicks Nicholas K Hayward Peter A Kanetsky Chad Brummett Grant W Montgomery Catherine M Olsen Caroline Hayward Alison M Dunning Nicholas G Martin Evangelos Evangelou Graham J Mann Georgina Long Paul D P Pharoah Douglas F Easton Jennifer H Barrett Anne E Cust Goncalo Abecasis David L Duffy David C Whiteman Helen Gogas Arcangela De Nicolo Margaret A Tucker Julia A Newton-Bishop Ketty Peris Stephen J Chanock Florence Demenais Kevin M Brown Susana Puig Eduardo Nagore Jianxin Shi Mark M Iles Matthew H Law

Nat Genet 2020 05 27;52(5):494-504. Epub 2020 Apr 27.

Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

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http://dx.doi.org/10.1038/s41588-020-0611-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255059PMC
May 2020

Leveraging summary statistics to make inferences about complex phenotypes in large biobanks.

Pac Symp Biocomput 2019 ;24:391-402

Department of Math, Computer Science, and Statistics, Dordt College, Sioux Center, IA 51250, USA

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417828PMC
January 2020

Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative.

Am J Hum Genet 2018 06 17;102(6):1048-1061. Epub 2018 May 17.

Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA; Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI 48109, USA; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA; University of Michigan Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address:

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https://linkinghub.elsevier.com/retrieve/pii/S00029297183013
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http://dx.doi.org/10.1016/j.ajhg.2018.04.001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992124PMC
June 2018

Evaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees.

Proc Natl Acad Sci U S A 2018 01 26;115(2):379-384. Epub 2017 Dec 26.

South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX 78520.

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http://dx.doi.org/10.1073/pnas.1705859115DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777025PMC
January 2018

The Veterans Affairs Cardiac Risk Score: Recalibrating the Atherosclerotic Cardiovascular Disease Score for Applied Use.

Med Care 2017 09;55(9):864-870

*Veterans Affairs Center for Clinical Management Research †Department of Internal Medicine and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.

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http://dx.doi.org/10.1097/MLR.0000000000000781DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561663PMC
September 2017

A rare coding allele in is protective for psoriatic arthritis.

Ann Rheum Dis 2017 Jul 13;76(7):1321-1324. Epub 2017 May 13.

Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, University of Manchester, Manchester, UK.

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http://dx.doi.org/10.1136/annrheumdis-2016-210592DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530346PMC
July 2017

Corrected ROC analysis for misclassified binary outcomes.

Stat Med 2017 06 28;36(13):2148-2160. Epub 2017 Feb 28.

Veterans Affairs Center for Clinical Management Research, Ann Arbor, 48105, MI, U.S.A.

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http://dx.doi.org/10.1002/sim.7260DOI Listing
June 2017

Characterization of ADME gene variation in 21 populations by exome sequencing.

Pharmacogenet Genomics 2017 03;27(3):89-100

aGlaxoSmithKline Research and Development, Durham, North Carolina bGlaxoSmithKline Research and Development, King of Prussia, Pennsylvania cDepartment of Biostatistics and/or Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA dGlaxoSmithKline Research and Development, Sydney, New South Wales, Australia eSeoul National University fDNA Link Inc., Seoul, Korea gKyushu University, Fukuoka, Japan.

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http://dx.doi.org/10.1097/FPC.0000000000000260DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287433PMC
March 2017

Methods for association analysis and meta-analysis of rare variants in families.

Genet Epidemiol 2015 May 4;39(4):227-38. Epub 2015 Mar 4.

Department of Biostatistics, Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.

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http://doi.wiley.com/10.1002/gepi.21892
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http://dx.doi.org/10.1002/gepi.21892DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459524PMC
May 2015

Analysis of rare variant population structure in Europeans explains differential stratification of gene-based tests.

Eur J Hum Genet 2014 Sep 8;22(9):1137-44. Epub 2014 Jan 8.

1] Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA [2] Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.

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http://dx.doi.org/10.1038/ejhg.2013.297DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4135410PMC
September 2014

A geometric framework for evaluating rare variant tests of association.

Genet Epidemiol 2013 May 21;37(4):345-57. Epub 2013 Mar 21.

Department of Statistics, Harvard University, Cambridge, MA, USA.

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http://dx.doi.org/10.1002/gepi.21722DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3718063PMC
May 2013

A coalescent model for genotype imputation.

Genetics 2012 Aug 17;191(4):1239-55. Epub 2012 May 17.

Department of Biology, Stanford University, Stanford, California 94305, USA.

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http://www.genetics.org/content/191/4/1239.full.pdf
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http://www.genetics.org/cgi/doi/10.1534/genetics.111.137984
Publisher Site
http://dx.doi.org/10.1534/genetics.111.137984DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416004PMC
August 2012