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65,324 results

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Page 1
Overview of Statistical Methods for Genome-Wide Association Studies (GWAS).
Hayes B. Hayes B. Methods Mol Biol. 2013;1019:149-69. doi: 10.1007/978-1-62703-447-0_6. Methods Mol Biol. 2013. PMID: 23756890 Review.
This chapter provides an overview of statistical methods for genome-wide association studies (GWAS) in animals, plants, and humans. The simplest form of GWAS, a marker-by-marker analysis, is illustrated with a simple example. ...
This chapter provides an overview of statistical methods for genome-wide association studies (GWAS) in animals, …
Five years of GWAS discovery.
Visscher PM, Brown MA, McCarthy MI, Yang J. Visscher PM, et al. Am J Hum Genet. 2012 Jan 13;90(1):7-24. doi: 10.1016/j.ajhg.2011.11.029. Am J Hum Genet. 2012. PMID: 22243964 Free PMC article. Review.
The past five years have seen many scientific and biological discoveries made through the experimental design of genome-wide association studies (GWASs). These studies were aimed at detecting variants at genomic loci that are associated with complex traits in …
The past five years have seen many scientific and biological discoveries made through the experimental design of genome-wide
Reducing GWAS Complexity.
Hazelett DJ, Conti DV, Han Y, Al Olama AA, Easton D, Eeles RA, Kote-Jarai Z, Haiman CA, Coetzee GA. Hazelett DJ, et al. Cell Cycle. 2016;15(1):22-4. doi: 10.1080/15384101.2015.1120928. Cell Cycle. 2016. PMID: 26771711 Free PMC article. Review.
Genome-wide association studies (GWAS) have revealed numerous genomic 'hits' associated with complex phenotypes. ...
Genome-wide association studies (GWAS) have revealed numerous genomic 'hits' associated with complex phenotypes.
An Introduction to Genome-Wide Association Studies: GWAS for Dummies.
Uitterlinden AG. Uitterlinden AG. Semin Reprod Med. 2016 Jul;34(4):196-204. doi: 10.1055/s-0036-1585406. Epub 2016 Aug 11. Semin Reprod Med. 2016. PMID: 27513020
Although the genetic origin of many human diseases and phenotypes has been long and widely recognized, identification of the causative gene alleles has been limited, slow, and cumbersome. This has changed substantially with the introduction of genome-wide associa
Although the genetic origin of many human diseases and phenotypes has been long and widely recognized, identification of the causative gene …
GWAS to the people.
[No authors listed] [No authors listed] Nat Med. 2018 Oct;24(10):1483. doi: 10.1038/s41591-018-0231-3. Nat Med. 2018. PMID: 30297896 No abstract available.
An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci.
Mountjoy E, Schmidt EM, Carmona M, Schwartzentruber J, Peat G, Miranda A, Fumis L, Hayhurst J, Buniello A, Karim MA, Wright D, Hercules A, Papa E, Fauman EB, Barrett JC, Todd JA, Ochoa D, Dunham I, Ghoussaini M. Mountjoy E, et al. Nat Genet. 2021 Nov;53(11):1527-1533. doi: 10.1038/s41588-021-00945-5. Epub 2021 Oct 28. Nat Genet. 2021. PMID: 34711957 Free PMC article.
Genome-wide association studies (GWASs) have identified many variants associated with complex traits, but identifying the causal gene(s) is a major challenge. In the present study, we present an open resource that provides systematic fine mapping and g
Genome-wide association studies (GWASs) have identified many variants associated with complex traits, but identifying t
GWAS.
Flint J. Flint J. Curr Biol. 2013 Apr 8;23(7):R265-6. doi: 10.1016/j.cub.2013.01.040. Curr Biol. 2013. PMID: 23578868 Free article. No abstract available.
Genome-Wide Association Studies.
Dehghan A. Dehghan A. Methods Mol Biol. 2018;1793:37-49. doi: 10.1007/978-1-4939-7868-7_4. Methods Mol Biol. 2018. PMID: 29876890 Review.
Genetic association studies have made a major contribution to our understanding of the genetics of complex disorders over the last 10 years through genome-wide association studies (GWAS). In this chapter, we review the key concepts that underlie …
Genetic association studies have made a major contribution to our understanding of the genetics of complex disorders over the last 10 …
Demystifying non-coding GWAS variants: an overview of computational tools and methods.
Schipper M, Posthuma D. Schipper M, et al. Hum Mol Genet. 2022 Oct 20;31(R1):R73-R83. doi: 10.1093/hmg/ddac198. Hum Mol Genet. 2022. PMID: 35972862 Free PMC article. Review.
Genome-wide association studies (GWAS) have found the majority of disease-associated variants to be non-coding. ...In this review, we give an overview of current tools and methods for the analysis of non-coding GWAS variants in disease. We provi
Genome-wide association studies (GWAS) have found the majority of disease-associated variants to be non-coding.
Statistical methods for genome-wide association studies.
Wang MH, Cordell HJ, Van Steen K. Wang MH, et al. Semin Cancer Biol. 2019 Apr;55:53-60. doi: 10.1016/j.semcancer.2018.04.008. Epub 2018 May 1. Semin Cancer Biol. 2019. PMID: 29727703 Review.
Genome-wide association studies (GWAS) detect common genetic variants associated with complex disorders. ...This review introduces the pipeline of statistical methods used in GWAS analysis, from data quality control, association tests, po
Genome-wide association studies (GWAS) detect common genetic variants associated with complex disorders. ...This
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