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SNP imputation in association studies
Eran Halperin and Dietrich Stephan
Nat Biotech 27 (4), 349-51 (Apr 2009)
Posted by merpublic and 1 other to GWAS snp on Tue Jun 30 2009 at 23:40 UTC | info | related
 
High marks for GWAS
Stephen Chanock
Nat Genet 41 (7), 765-6 (Jul 2009)
Posted by jhamilton1616 to GWAS on Tue Jun 30 2009 at 17:58 UTC | info | related
 
PLoS Genetics: Genome-Wide Analyses of Exonic Copy Number Variants in a Family-Based Study Point to Novel Autism Susceptibility Genes
dx.plos.org
Posted by jhamilton1616 to GWAS on Tue Jun 30 2009 at 17:43 UTC | info | related
 
PLoS Genetics: Genome-Wide Association Scan Meta-Analysis Identifies Three Loci Influencing Adiposity and Fat Distribution
dx.plos.org
Posted by jhamilton1616 to GWAS on Tue Jun 30 2009 at 17:42 UTC | info | related
 
Narcolepsy is strongly associated with the T-cell receptor alpha locus
Joachim Hallmayer et al.
Nat Genet 41 (6), 708-11 (Jun 2009)
 
Narcolepsy is strongly associated with the T-cell receptor alpha locus
Joachim Hallmayer et al.
Nat Genet 41 (6), 708-11 (Jun 2009)
 
Increasing power in association studies by using linkage disequilibrium structure and molecular function as prior information
Eleazar Eskin
Genome Research 18 (4), 653-60 (01 Apr 2008)
(private-note)I presented this for journal club on 10/28/08. Very modest improvements, but very slick means of making improvement sound bigger. On the whole, great idea to threshold differently at each loci
Posted by jessopher and 3 others to GWAS on Sat May 23 2009 at 03:14 UTC | info | related
 
Genomewide Association Studies: History, Rationale, and Prospects for Psychiatric Disorders
Psychiatric GWAS Consortium Coordinating Committee
American Journal of Psychiatry 166 (5), 540-56 (01 May 2009)
Posted by SunnyR with 1 comment to GWAS on Fri May 22 2009 at 13:09 UTC | info | related
 
Genome-wide association study of blood pressure and hypertension.
Daniel Levy et al.
Nature genetics, (10 May 2009)
Posted by wclathe to Disease genome GWAS on Mon May 18 2009 at 21:23 UTC | info | related
 
Genetic architecture of quantitative traits in mice, flies, and humans
Genome Research 19 (5), 723 (01 May 2009)
We compare and contrast the genetic architecture of quantitative phenotypes in two genetically well-characterized model organisms, the laboratory mouse, Mus musculus, and the fruit fly, Drosophila melanogaster, with that found in our own species from recent successes in genome-wide association studies. We show that the current model of large numbers of loci, each of small effect, is true for all species examined, and that discrepancies can be largely explained by differences in the experimental designs used. We argue that the distribution of effect size of common variants is the same for all phenotypes regardless of species, and we discuss the importance of epistasis, pleiotropy, and gene by environment interactions. Despite substantial advances in mapping quantitative trait loci, the identification of the quantitative trait genes and ultimately the sequence variants has proved more difficult, so that our information on the molecular basis of quantitative variation remains limited. Nevertheless, available data indicate that many variants lie outside genes, presumably in regulatory regions of the genome, where they act by altering gene expression. As yet there are very few instances where homologous quantitative trait loci, or quantitative trait genes, have been identified in multiple species, but the availability of high-resolution mapping data will soon make it possible to test the degree of overlap between species.
Posted by FlorianMarkowetz and 1 other to GWAS on Sun May 10 2009 at 16:21 UTC | info | related

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