Genome Wide Association Analysis
Effects of covariates and interactions on a genome wide association analysis of rheumatoid arthritis
... the genome-wide association analysis (GWAA) of RA using Genetic Analysis Workshop 16 Problem 1 data and a logistic regression approach as implemented in ...conducting association ...
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Genome-wide association analysis of stalk biomass and anatomical traits in maize.
... Genome-wide association analysis Imputed data of the 899,784 detected SNPs was used for GWAS of the stalk ...whole genome rese- quencing SNP calls. The imputed and whole genome ...
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Statistical and Computational Methods for Genome-Wide Association Analysis
... Purpose Here, we develop a statistical framework and computational tool to integrate regulatory and functional genomic datasets with GWAS summary statistics to identify causal genes and biological mechanisms underlying ...
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Genome-wide Association Analysis of Eye Movement Dysfunction in Schizophrenia
... eQTL analysis used linear regression to delineate the effects of genotype against the expression level of genes around the ...eQTL association with THEM4 in 2 brain regions (FCTX and ...
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Assessing statistical significance in multivariable genome wide association analysis
... Additionally, we investigate whether the SNPs identified using the standard analysis with PLINK (Purcell et al., 2007) map into our groups. The size of the group is in a way inversely proportional to the strength ...
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Assessing statistical significance in multivariable genome wide association analysis
... 3.2.6 Bipolar disorder (BD) For BD, the WTCCC identified only one SNP strongly associated to the phenotype: rs420259. While we did not identify it in a small group, it is present in the large group found to be ...
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Selection of important variables by statistical learning in genome wide association analysis
... need to explicitly model each possible interaction terms repeatedly. This feature makes it most suitable for large- scale studies such as GWAS. However, direct application of RF to 500 k or even 50 k SNPs may not be ...
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Bias, Precision and Power of Some Techniques in Genome-Wide Association Analysis
... I feel extremely privileged to have been a part of the Boehnke-Scott group and to have gotten to know it’s wonderful members. Dawn Keene and Peggy White, your ever- present helpfulness in matters bureaucratic (and ...
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Genome-wide association analysis identifies a meningioma risk locus at 11p15.5.
... of association between the directly genotyped and imputed SNPs and meningioma were performed using logistic regression under an additive genetics model using SNPTEST version ...the analysis the first two ...
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Genome wide association studies: a primer
... Rothstein MA (2005). Science and society : applications of behavioural genetics : outpacing the science ? Nature Reviews Genetics 6, 793–798. Saxena R, Voight BF, Lyssenko V, Burtt NP, de Bakker PI, Chen H, Roix JJ, ...
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Genome wide linkage and association analysis of rheumatoid arthritis in a Canadian population
... conducted genome-wide linkage analysis with 128 affected individuals from 60 families in a Canadian cohort that were genotyped using the Illumina linkage panel and genome-wide ...
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Meta analysis of genome wide association studies.pdf
... have been identified for T2D 10,11 . Despite these advances toward a better understanding of the genetic basis of T2D, its heritability has not been fully explained 12 . In addition, most of the T2D loci were detected ...
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Arecent meta-analysis of genome-wide association
... Loci associated with abnormalities in early insulin secretion. Genetic defects in pathways primarily involved in insulin secretion are expected to cause higher glucose levels. Of all examined loci, the glucose-raising ...
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SNP2GO: Functional Analysis of Genome-Wide Association Studies
... A third case, not usually considered in GWAS, is the over- dispersion of candidate SNPs, in which the number of geno- mic regions carrying at least one candidate SNP is larger than expected. Therefore, detection of a ...
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Genome wide association study for multiple phenotype analysis
... Abstract Genome-wide association studies often collect multiple phenotypes for complex ...marginal analysis of each phenotype and are also able to identify loci with pleiotropic ...score-based ...
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Statistical analysis of genome-wide association (GWAS) data
... Association does not imply causation • Suppose that genotypes at a particular SNP are significantly associated with disease • This may be because the SNP is associated with some other factor (a confounder), which ...
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Gene based bin analysis of genome wide association studies
... genetic association of a given SNP is a statisti- cal feature and does not explain by itself a ...the association can be refined by fine-scale genotyping technologies or ideally by full ...bias ...
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Type Package Title genome-wide SNP association analysis
... quiet do not print warning messages bcast If the argument times > 1, progress is reported once in bcast replicas Details In the analysis of empirical significance, first time the function qtscore is called and ...
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Meta-analysis of genome-wide association studies of anxiety disorders
... analysis (38), we were limited in our ability to conduct additional post-hoc analyses such as GPRS and GREML that require the use of raw GWAS data. Reassuringly, results obtained by applying LD score regression to ...
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Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects
... Several papers have addressed statistical issues in the meta-analysis of GWAS data. 6–9 One important issue in GWAS meta-analysis that has received little attention is the overlap of study subjects, i.e., ...
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