Results 211 to 220 of about 1,303,219 (221)

Genome-Wide Association Studies (GWAS)

2023
Most of the breeding targets are quantitative traits. In exploring the quantitative trait locus (QTL) system of a trait, linkage mapping was established using sparse polymerase chain reaction (PCR) markers. With the genome-wide sequencing technology advanced, genome-wide association study (GWAS) was developed for natural (germplasm) populations using ...
Jianbo, He, Junyi, Gai
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An Overview of Genome-Wide Association Studies

2018
Genome-wide association study (GWAS) is a powerful study design to identify genetic variants of a trait and, in particular, detect the association between common single-nucleotide polymorphisms (SNPs) and common human diseases such as heart disease, inflammatory bowel disease, type 2 diabetes, and psychiatric disorders.
Lin He, Lei Cai, Michelle Chang
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Genome-Wide Association Study in Humans

2009
Genome-wide association studies have opened a new era in the study of the genetic basis of common, multifactorial diseases and traits. Before the introduction of this approach only a handful of common genetic variants showed consistent association for any phenotype.
J. Gustav Smith, Christopher Newton-Cheh
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Genome-wide association studies in atherothrombosis

European Journal of Internal Medicine, 2010
Atherothrombotic diseases are complex diseases, arising from the interaction between several genetic and environmental factors. Until recently, the genetic basis of complex diseases in general, and of atherothrombosis in particular, were poorly characterized.
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Genome-wide association studies in pharmacogenomics

Nature Reviews Genetics, 2010
Genome-wide association (GWA) studies for pharmacogenomics-related traits are increasingly being performed to identify loci that affect either drug response or susceptibility to adverse drug reactions. Until now, only the largest effects have been detected, partly because of the challenges of obtaining large numbers of cases for pharmacogenomic studies.
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Study Designs for Genome‐Wide Association Studies

2008
Advances in high-throughput genotyping and a flood of data on human genetic variation from the Human Genome and HapMap projects have made genome-wide association studies technically feasible. However, researchers designing such studies face a number of challenges, including how to avoid subtle systematic biases and how to achieve sufficient statistical
Peter Kraft, David G. Cox
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Genome-Wide Association Studies

JAMA, 2019
Jerome I. Rotter, Xiuqing Guo
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Genome Wide Association Studies

2015
In this chapter we will discuss genome wide association studies (GWAS) using SNP. GWAS present some challenges for biostatistics and bioinformatics—the sheer dimensionality of the data can create storage/retrieval and analysis problems. Quality control and data preprocessing are also important steps in GWAS.
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The road to genome-wide association studies

Nature Reviews Genetics, 2008
The recent crop of results from genome-wide association studies might seem like a sudden development. However, this blooming follows a long germination period during which the necessary concepts, resources and techniques were developed and assembled.
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Genome-wide association study for osteoarthritis

The Lancet, 2013
Fei Luo, Jianzhong Xu, Fei Dai, Xuehui Wu, Hao Pang   +4 more
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