The Genetic Analysis Workshop 16 Problem 3: simulation of heritable longitudinal cardiovascular phenotypes based on actual genome-wide single-nucleotide polymorphisms in the Framingham Heart Study
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Association of an NFKB1 intron SNP (rs4648068) with gastric cancer patients in the Han Chinese populationThe robustness of generalized estimating equations for association tests in extended family data.Genetic Analysis Workshop 16: Strategies for genome-wide association study analyses.Growth mixture modeling as an exploratory analysis tool in longitudinal quantitative trait loci analysis.Family-based analysis of a myocardial infarction endophenotype: comparison of sampling designs.Comparison between single-marker analysis using Merlin and multi-marker analysis using LASSO for Framingham simulated data.Genetics Analysis Workshop 16 Problem 2: the Framingham Heart Study data.Genome-wide association analysis of Framingham Heart Study data for the Genetics Analysis Workshop 16: effects due to medication useEvaluation of random forests performance for genome-wide association studies in the presence of interaction effects.Selection of important variables by statistical learning in genome-wide association analysis.Power and false-positive rates for the restricted partition method (RPM) in a large candidate gene data set.Different models and single-nucleotide polymorphisms signal the simulated weak gene-gene interaction for a quantitative trait using haplotype-based and mixed models testing.Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohortApplication of three-level linear mixed-effects model incorporating gene-age interactions for association analysis of longitudinal family dataGenome-wide association analyses of quantitative traits: the GAW16 experience.Analysis of multiple phenotypesSummary of contributions to GAW Group 15: family-based samples are useful in identifying common polymorphisms associated with complex traitsGenetic Analysis Workshop 16: introduction to workshop summaries.Phenotype definition and development--contributions from Group 7.Genetic simulation tools for post-genome wide association studies of complex diseasesMining gold dust under the genome wide significance level: a two-stage approach to analysis of GWAS.The challenge of detecting epistasis (G x G interactions): Genetic Analysis Workshop 16Improving the signal-to-noise ratio in genome-wide association studies.A confidence set inference method for identifying SNPs that regulate quantitative phenotypes.
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P2860
The Genetic Analysis Workshop 16 Problem 3: simulation of heritable longitudinal cardiovascular phenotypes based on actual genome-wide single-nucleotide polymorphisms in the Framingham Heart Study
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2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
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2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
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2009年论文
@wuu
name
The Genetic Analysis Workshop ...... in the Framingham Heart Study
@ast
The Genetic Analysis Workshop ...... in the Framingham Heart Study
@en
The Genetic Analysis Workshop ...... in the Framingham Heart Study.
@nl
type
label
The Genetic Analysis Workshop ...... in the Framingham Heart Study
@ast
The Genetic Analysis Workshop ...... in the Framingham Heart Study
@en
The Genetic Analysis Workshop ...... in the Framingham Heart Study.
@nl
prefLabel
The Genetic Analysis Workshop ...... in the Framingham Heart Study
@ast
The Genetic Analysis Workshop ...... in the Framingham Heart Study
@en
The Genetic Analysis Workshop ...... in the Framingham Heart Study.
@nl
P2093
P2860
P921
P1433
P1476
The Genetic Analysis Workshop ...... in the Framingham Heart Study
@en
P2093
Aldi T Kraja
Andrew Van Brunt
E Warwick Daw
Robert Culverhouse
P2860
P2888
P356
10.1186/1753-6561-3-S7-S4
P478
P577
2009-12-15T00:00:00Z
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P6179
1002888728