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Genome-Wide Association Studies (GWAS)
2022Genome-wide association studies (GWAS) are designed to find associations between genomic variants and a phenotype, usually a complex multifactorial disease. The idea for association studies in a large cohort was floated after linkage analysis, which proved extremely successful in the identification of causative genes for rare disorders, but it did not ...
Hafiza Noor Ul Ayan, Muhammad Tariq
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Genome-Wide Association Studies (GWAS)
2012Genome-wide association studies (GWAS) have revolutionized our understanding of common diseases at the molecular level. This chapter discusses these strategies and describes key recent successes in stroke.
Guillaume Pare, Matthew P. A. Henderson
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Statistical Perspectives for Genome-Wide Association Studies (GWAS)
2014In this chapter we consider some key elements in conducting a successful genome-wide association study or GWAS. The first step is to design the study well (Subheading 3.1), paying particular attention to case and control selection and achieving adequate sample size to deal with the large burden of multiple testing.
Jennifer H, Barrett +2 more
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Bioinformatics Challenges in Genome-Wide Association Studies (GWAS)
2014Genome-wide association studies (GWAS) are a powerful tool for investigators to examine the human genome to detect genetic risk factors, reveal the genetic architecture of diseases and open up new opportunities for treatment and prevention. However, despite its successes, GWAS have not been able to identify genetic loci that are effective classifiers ...
Rishika, De +2 more
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Genome-Wide Association Studies (GWAS) of Adiposity
2016Adiposity is strongly heritable and one of the leading risk factors for type 2 diabetes, cardiovascular disease, cancer, and premature death. In the past 8 years, genome-wide association studies (GWAS) have greatly increased our understanding of the genes and biological pathways that regulate adiposity by identifying more than 100 novel susceptibility ...
Oskari Kilpeläinen, Tuomas +1 more
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Planning and Executing a Genome Wide Association Study (GWAS)
2009In recent years, genome-wide association approaches have proven a powerful and successful strategy to identify genetic contributors to complex traits, including a number of endocrine disorders. Their success has meant that genome wide association studies (GWAS) are fast becoming the default study design for discovery of new genetic variants that ...
Michèle M, Sale +2 more
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Genome-wide association study (GWAS) for molar–incisor hypomineralization (MIH)
Clinical Oral Investigations, 2013This genome-wide association study (GWAS) investigated the relationship between molar-incisor hypomineralization (MIH) and possible genetic loci. Clinical and genetic data from the 10-year follow-up of 668 children from the Munich GINI-plus and LISA-plus birth cohort studies were analyzed.The dental examinations included the diagnosis of MIH according ...
Jan, Kühnisch +7 more
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Validation of Genome-Wide Association Studies (GWAS) Results
2013Validation of the results of genome-wide association studies or genomic selection studies is an essential component of the experimental program. Validation allows users to quantify the benefit of applying gene tests or genomic prediction, relative to the costs of implementing the program.
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GWA-Portal: Genome-Wide Association Studies Made Easy
2018Genome-wide association studies (GWAS) are an effective method for investigating the genetics of natural phenotypic variation in many different model organisms.Here we present GWA-Portal, an interactive web application that enables researchers to upload their phenotypes and easily carry out GWAS directly in the browser.
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Building an open Genome Wide Association Study (GWAS) platform
2013 IEEE International Conference on Cluster Computing (CLUSTER), 2013We demonstrated how a flexible Genome Wide Association Study (GWAS) platform was built using the iPlant Collaborative Cyber-infrastructure. The platform is open for end users to add additional analysis tools. With the platform, customized GWAS workflows can be built in both iPlant Discovery Environment and BioExtract server.
Liya Wang +3 more
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