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Genome-wide association study of Idiopathic Pulmonary Fibrosis susceptibility using clinically-curated European-ancestry datasets

Chin D, Hernandez-Beeftink T, Donoghue L, Guillen-Guio B, Leavy OC, Adegunsoye A, Booth HL, CleanUP-IPF Investigators of the Pulmonary Trials Cooperative, Fahy WA, Fingerlin TE, Gooptu B, Hall IP, Hart SP, Hill MR, Hirani N, Hubbard RB, Johnson S, Kaminski N, Lorenzo-Salazar JM, Ma S, McAnulty RJ, McCarthy M, Stockwell AD, Maher TM, Millar AB, Molyneaux PL, Molina-Molina M, Navaratnam V, Neighbors M, Oldham JM, Parfrey H, Saini G, Sayers I, Sheng XR, Stewart ID, Strek ME, Tobin MD, Whyte MK, Zarcone MC, Zhang Y, Martinez F, Yaspan BL, Reynolds CJ, Schwartz DA, Flores C, Noth I, Jenkins RG, Allen RJ, Wain LV.   +48 more
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Genome-Wide Association Studies

2010
Genome-wide association (GWA) studies are best understood as an extension of candidate gene association studies, scaled up to cover hundreds of thousands of markers across the genome in samples usually of several thousand cases and controls. The GWA approach allows the detection of much smaller effect sizes than with previous linkage-based genome-wide ...
Nadia Solovieff, Paola Sebastiani
  +8 more sources

Genome-Wide Association Studies

2012
A host of data on genetic variation from the Human Genome and International HapMap projects, and advances in high-throughput genotyping technologies, have made genome-wide association (GWA) studies technically feasible. GWA studies help in the discovery and quantification of the genetic components of disease risks, many of which have not been unveiled ...
Tun-Hsiang Yang, Mark A. Kon, Charles DeLisi   +2 more
openaire   +5 more sources

Genome-Wide Association Studies

Cold Spring Harbor Protocols, 2009
INTRODUCTIONThe goal of association studies is to discover genetic variation that differs in frequency between cases and controls or between individuals with different phenotypic values. Until a few years ago, the only method available for such studies was low-throughput analysis in which a single gene was selected and either genotyped for known ...
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R for Genome-Wide Association Studies

2013
In recent years R has become de facto statistical programming language of choice for statisticians and it is also arguably the most widely used generic environment for analysis of high-throughput genomic data. In this chapter we discuss some approaches to improve performance of R when working with large SNP datasets.
Cedric Gondro, Seung Hwan Lee, Laercio R. Porto-Neto, Laercio R. Porto-Neto   +3 more
openaire   +4 more sources

Genome-Wide Association Studies of Cancer

Future Oncology, 2007
Genome-wide association studies provide a new and powerful approach to investigate the effect of inherited genetic variation on the risk of human disease. These studies rely on high throughput DNA microarray technology to genotype hundreds of thousands of genetic variants across the human genome.
Eric Jorgenson, John S. Witte
openaire   +2 more sources

Genome-Wide Association Studies

2018
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 the GWAS approach.
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The Genome-Wide Association Study

2017
Jatropha (Jatropha curcas L.) is a promising biofuel producer for supporting the fight against global warming and has thus attracted the attention in recent years. However, as yet, we do not have a deep and comprehensive understanding of this species. Genome-wide association studies (GWASs) have been used to improve our understanding of various plant ...
Kiichi Fukui, Kyuya Harada, Suguru Tsuchimoto, Haiyan Li   +3 more
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