نتایج جستجو برای: genome wide association study
تعداد نتایج: 4629884 فیلتر نتایج به سال:
We define an analogue of BGG category O for generalized Weyl algebras. We prove several properties that show that even when the dimension of the ground ring is greater than one, the (graded) representation theory still has the flavor of the infinite dimensional representation theory of semisimple lie algebras. We then apply these results to the strong graded Morita problem for GWAs and give a c...
In recent years, genome-wide association studies (GWAS) have identified many loci that are shared among common disorders and this has raised interest in pleiotropy. For performing appropriate analysis, several methods have been proposed, e.g. conducting a look-up in external sources or exploiting GWAS results by meta-analysis based methods. We recently proposed the Compare & Contrast Meta-Analy...
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, ...
Meta-analysis of genome-wide association studies (GWASs) has led to the discoveries of many common variants associated with complex human diseases. There is a growing recognition that identifying "causal" rare variants also requires large-scale meta-analysis. The fact that association tests with rare variants are performed at the gene level rather than at the variant level poses unprecedented c...
There are several errors in mathematical expressions in theIntroduction under the subheading GWAS Plus: GCTA. In the final sentence of the second paragraph, the expression for the distribution of u is incorrect. The subscript n should be an m and the subscript epsilon should be a u. The correct distribution is: u∼Nmð0; IσuÞ. In the second sentence of the sixth paragraph, the expression for the ...
Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, SP 14884-900, Brazil The University of Queensland, Queensland Alliance for Agriculture and Food innovation, Centre for Animal Science, Brisbane, Qld 4062, Australia CSIRO Food Futures Flagship and Animal, Health and Food Sciences, 306 Carmody Road, St Lucia, QLD 4067, Australia Faculdade de Medicina Vete...
Nada A. Al-Tassan, Nicola Whiffin, Fay J. Hosking, Claire Palles, Susan M. Farrington, Sara E. Dobbins, Rebecca Harris, Maggie Gorman, Albert Tenesa, Brian F. Meyer, Salma M. Wakil, Ben Kinnersley, Harry Campbell, Lynn Martin, Christopher G. Smith, Shelley Idziaszczyk, Ella Barclay, Timothy S. Maughan, Richard Kaplan, Rachel Kerr, David Kerr, Daniel D. Buchanan, Aung Ko Win, John Hopper, Mark J...
We introduce a method for learning pairwise interactions in a linear regression or logistic regression model in a manner that satisfies strong hierarchy: whenever an interaction is estimated to be nonzero, both its associated main effects are also included in the model. We motivate our approach by modeling pairwise interactions for categorical variables with arbitrary numbers of levels, and the...
Local adaptation is critical for species persistence in the face of rapid environmental change, but its genetic basis is not well understood. Growing the model plant Arabidopsis thaliana in field experiments in four sites across the species' native range, we identified candidate loci for local adaptation from a genome-wide association study of lifetime fitness in geographically diverse accessio...
Genetic pleiotropy refers to the situation in which a single gene influences multiple traits and so it is considered as a major factor that underlies genetic correlation among traits. To identify pleiotropy, an important focus in genome-wide association studies (GWAS) is on finding genetic variants that are simultaneously associated with multiple traits. On the other hand, longitudinal designs ...
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