نتایج جستجو برای: wide association study

تعداد نتایج: 4492963  

Journal: :Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2015
Robert Szulkin Robert Karlsson Thomas Whitington Markus Aly Henrik Gronberg Rosalind A Eeles Douglas F Easton Zsofia Kote-Jarai Ali Amin Al Olama Sara Benlloch Kenneth Muir Graham G Giles Melissa C Southey Liesel M FitzGerald Brian E Henderson Fredrick R Schumacher Christopher A Haiman Csilla Sipeky Teuvo L J Tammela Børge G Nordestgaard Timothy J Key Ruth C Travis David E Neal Jenny L Donovan Freddie C Hamdy Paul D P Pharoah Nora Pashayan Kay-Tee Khaw Janet L Stanford Stephen N Thibodeau Shannon K McDonnell Daniel J Schaid Christiane Maier Walther Vogel Manuel Luedeke Kathleen Herkommer Adam S Kibel Cezary Cybulski Jan Lubiński Wojciech Kluźniak Lisa Cannon-Albright Hermann Brenner Volker Herrmann Bernd Holleczek Jong Y Park Thomas A Sellers Hui-Yi Lim Chavdar Slavov Radka P Kaneva Vanio I Mitev Amanda Spurdle Manuel R Teixeira Paula Paulo Sofia Maia Hardev Pandha Agnieszka Michael Andrzej Kierzek Jyotsna Batra Judith A Clements Demetrius Albanes Gerald L Andriole Sonja I Berndt Stephen Chanock Susan M Gapstur Edward L Giovannucci David J Hunter Peter Kraft Loic Le Marchand Jing Ma Alison M Mondul Kathryn L Penney Meir J Stampfer Victoria L Stevens Stephanie J Weinstein Antonia Trichopoulou Bas H Bueno-de-Mesquita Anne Tjønneland David G Cox Lovise Maehle Johanna Schleutker Sara Lindström Fredrik Wiklund

BACKGROUND Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. METHODS We performed a genome-wide survival analysis of cause-specific death in 24,023 prostate cancer patients (3,513 disease-specific deaths) from the PRACTICAL and BPC3 consortia. ...

2011
Min Chen Judy Cho Hongyu Zhao

Genome-wide association studies (GWAS) examine a large number of markers across the genome to identify associations between genetic variants and disease. Most published studies examine only single markers, which may be less informative than considering multiple markers and multiple genes jointly because genes may interact with each other to affect disease risk. Much knowledge has been accumulat...

2014
George Tucker Alkes L. Price Bonnie Berger

Using a reduced subset of SNPs in a linear mixed model can improve power for genome-wide association studies, yet this can result in insufficient correction for population stratification. We propose a hybrid approach using principal components that does not inflate statistics in the presence of population stratification and improves power over standard linear mixed models.

2015
Sarah L. Spain Jeffrey C. Barrett

Genome-wide association studies (GWAS) have identified thousands of robust and replicable genetic associations for complex disease. However, the identification of the causal variants that underlie these associations has been more difficult. This problem of fine-mapping association signals predates GWAS, but the last few years have seen a surge of studies aimed at pinpointing causal variants usi...

2009
Vipin Gupta K. N. Saraswathy Rajesh Khadgawat M. P. Sachdeva

Genome-Wide Association studies (GWAS) have brought a revolutionary change or paradigm shift in detecting novel variants for complex disorders and shifting the burden of finding the biological relevance of these newly discovered variants on biochemists and physiologists, hence it is a movement from forward to reverse genetics. Here we discuss the role of such studies with GWAS designs from anth...

Journal: :Biometrical journal. Biometrische Zeitschrift 2008
Andreas Ziegler Inke R König John R Thompson

To search the entire human genome for association is a novel and promising approach to unravelling the genetic basis of complex genetic diseases. In these genome-wide association studies (GWAs), several hundreds of thousands of single nucleotide polymorphisms (SNPs) are analyzed at the same time, posing substantial biostatistical and computational challenges. In this paper, we discuss a number ...

2017
Lam C Tsoi Philip E Stuart Chao Tian Johann E Gudjonsson Sayantan Das Matthew Zawistowski Eva Ellinghaus Jonathan N Barker Vinod Chandran Nick Dand Kristina Callis Duffin Charlotta Enerbäck Tõnu Esko Andre Franke Dafna D Gladman Per Hoffmann Külli Kingo Sulev Kõks Gerald G Krueger Henry W Lim Andres Metspalu Ulrich Mrowietz Sören Mucha Proton Rahman Andre Reis Trilokraj Tejasvi Richard Trembath John J Voorhees Stephan Weidinger Michael Weichenthal Xiaoquan Wen Nicholas Eriksson Hyun M Kang David A Hinds Rajan P Nair Gonçalo R Abecasis James T Elder

Psoriasis is a complex disease of skin with a prevalence of about 2%. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for psoriasis to date, including data from eight different Caucasian cohorts, with a combined effective sample size >39,000 individuals. We identified 16 additional psoriasis susceptibility loci achieving genome-wide significance, increasing the ...

2015
Julian Hecker Dmitry Prokopenko Christoph Lange Heide Löhlein Fier

quantify their contribution to the inflation of test statistics in GWAS. In this communication, we extend the LD Score regression approach by applying the generalized estimation equations (GEE) framework, which is capable of incorporating more external information from reference panels about the correlation structure of test statistics. We apply our GEE approach and LD Score regression to simul...

Journal: :The British journal of psychiatry : the journal of mental science 2013
Ann L Collins Patrick F Sullivan

Genome-wide association studies (GWAS) have been the focus of considerable effort in psychiatry. These efforts have markedly increased knowledge of the genetic basis of psychiatric disorders, and yielded empirical data on genetic architecture critical to addressing long-standing debates in the field. There is a now a clear path to increased knowledge of the 'parts lists' for these disorders.

2012
Anna A.E. Vinkhuyzen Sophie van der Sluis Hermine H. M. Maes Danielle Posthuma

Heritability estimates of general intelligence in adulthood generally range from 75 to 85%, with all heritability due to additive genetic influences, while genetic dominance and shared environmental factors are absent, or too small to be detected. These estimates are derived from studies based on the classical twin design and are based on the assumption of random mating. Yet, considerable posit...

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