نتایج جستجو برای: genome wide association study

تعداد نتایج: 4629884  

Journal: :Bioinformatics 2007
Manhong Dai Pinglang Wang Elvis Jakupovic Stanley J. Watson Fan Meng

UNLABELLED The Web-Based GeneChip Analysis System (WGAS) is developed to overcome limitations in analysis setup efficiency, data and procedure sharing, as well as security issues in existing commercial and public domain solutions. It also incorporates unique functions and resources for more accurate and flexible GeneChip analysis. AVAILABILITY WGAS is freely available at: http://arrayanalysis...

Journal: :Oncology 2010
Zsofia K Stadler David J Gallagher Peter Thom Kenneth Offit

Genome-wide association studies (GWAS) have emerged as a new approach for investigating the genetic basis of complex diseases. In oncology, genome-wide studies of nearly all common malignancies have been performed and more than 100 genetic variants associated with increased risks have been identified. GWAS approaches are powerful research tools that are revealing novel pathways important in car...

Journal: :Neuroscience letters 2013
Guiyou Liu Shuyan Zhang Zhiyou Cai You Li Lili Cui Guoda Ma Yongshuai Jiang Liangcai Zhang Rennan Feng Mingzhi Liao Zugen Chen Bin Zhao Keshen Li

Large-scale genome-wide association studies (GWAS) identified BIN1 gene rs744373 polymorphism to be significantly associated with Alzheimer's disease (AD) in Caucasian ancestry. Recently, this polymorphism was also investigated in East Asian population. However, no study reported significant association. We consider that the failure to replicate significant association between rs744373 polymorp...

2016
Kristina M. Hettne Mark Thompson Herman H. H. B. M. van Haagen Eelke van der Horst Rajaram Kaliyaperumal Eleni Mina Zuotian Tatum Jeroen F. J. Laros Erik M. van Mulligen Martijn Schuemie Emmelien Aten Tong Shu Li Richard Bruskiewich Benjamin M. Good Andrew I. Su Jan A. Kors Johan den Dunnen Gert-Jan B. van Ommen Marco Roos Peter A.C. ‘t Hoen Barend Mons Erik A. Schultes Tudor Groza

High-throughput experimental methods such as medical sequencing and genome-wide association studies (GWAS) identify increasingly large numbers of potential relations between genetic variants and diseases. Both biological complexity (millions of potential gene-disease associations) and the accelerating rate of data production necessitate computational approaches to prioritize and rationalize pot...

Journal: :Genetic epidemiology 2007
Kathryn Roeder B Devlin Larry Wasserman

The potential of genome-wide association analysis can only be realized when they have power to detect signals despite the detrimental effect of multiple testing on power. We develop a weighted multiple testing procedure that facilitates the input of prior information in the form of groupings of tests. For each group a weight is estimated from the observed test statistics within the group. Diffe...

2015
Rooksana E. Noorai Leigh Anne Clark

Genome-wide association study in collies identifies a novel locus for dermatomyositis"

2011
Allan J Motyer Chris McKendry Sally Galbraith Susan R Wilson

Model selection procedures for simultaneous analysis of all single-nucleotide polymorphisms in genome-wide association studies are most suitable for making full use of the data for a complex disease study. In this paper we consider a penalized regression using the LASSO procedure and show that post-processing of the penalized-regression results with subsequent stepwise selection may lead to imp...

2016
Suzanne H. Gage George Davey Smith Jennifer J. Ware Jonathan Flint Marcus R. Munafò Greg Gibson

As our understanding of genetics has improved, genome-wide association studies (GWAS) have identified numerous variants associated with lifestyle behaviours and health outcomes. However, what is sometimes overlooked is the possibility that genetic variants identified in GWAS of disease might reflect the effect of modifiable risk factors as well as direct genetic effects. We discuss this possibi...

Journal: :Neuron 2014
Anna C. Need David B. Goldstein

The new GWAS from the Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) clearly validates a genetic approach to understanding schizophrenia. The challenge now remains to track down the contributing genes and to develop appropriate models to elucidate the biological effects of the contributing variants.

Journal: :Genetic epidemiology 2010
Hua Tang David O Siegmund Nicholas A Johnson Isabelle Romieu Stephanie J London

Current genome-wide association studies (GWAS) often involve populations that have experienced recent genetic admixture. Genotype data generated from these studies can be used to test for association directly, as in a non-admixed population. As an alternative, these data can be used to infer chromosomal ancestry, and thus allow for admixture mapping. We quantify the contribution of allele-based...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید