Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses.
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Detecting immigrants in a highly genetically homogeneous spiny lobster population (Palinurus elephas) in the northwest Mediterranean SeaGenome-wide association study heterogeneous cohort homogenization via subject weight knock-downRNA-Seq identifies SNP markers for growth traits in rainbow troutMaximizing genetic differentiation in core collections by PCA-based clustering of molecular marker data.Adjustment for local ancestry in genetic association analysis of admixed populations.Chemical genomics for studying parasite gene function and interaction.Effective sample size: Quick estimation of the effect of related samples in genetic case-control association analyses.Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome.Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize.A genome-wide association study of seed composition traits in wild soybean (Glycine soja)The maize leaf lipidome shows multilevel genetic control and high predictive value for agronomic traits.PedWiz: a web-based tool for pedigree informatics.Evaluation of the lasso and the elastic net in genome-wide association studies.Challenges in reproducibility of genetic association studies: lessons learned from the obesity field.Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection.Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traitsA practical guide to environmental association analysis in landscape genomics.Bayesian shrinkage analysis of QTLs under shape-adaptive shrinkage priors, and accurate re-estimation of genetic effects.Deciphering the genomic architecture of the stickleback brain with a novel multilocus gene-mapping approach.Genetic heterogeneity underlying variation in a locally adaptive clinal trait in Pinus sylvestris revealed by a Bayesian multipopulation analysis.Evaluation of multi-locus models for genome-wide association studies: a case study in sugar beet.Combined linkage disequilibrium and linkage mapping: Bayesian multilocus approach.On statistical methods for estimating heritability in wild populations.Comparison of biometrical approaches for QTL detection in multiple segregating families.Haplotypes of the inducible nitric oxide synthase gene are strongly associated with exhaled nitric oxide levels in adults: a population-based study.Epigenetic variation predicts regional and local intraspecific functional diversity in a perennial herb.A novel linkage-disequilibrium corrected genomic relationship matrix for SNP-heritability estimation and genomic prediction.Robustness of Bayesian multilocus association models to cryptic relatedness.Design Considerations for Genetic Linkage and Association Studies.Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions.Association mapping and gene-gene interaction for stem rust resistance in CIMMYT spring wheat germplasm.Genome-wide mapping of quantitative trait loci in admixed populations using mixed linear model and Bayesian multiple regression analysis.Genome-wide association mapping for wood characteristics inPopulusidentifies an array of candidate single nucleotide polymorphisms
P2860
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P2860
Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Overview of techniques to acco ...... mic data association analyses.
@ast
Overview of techniques to acco ...... mic data association analyses.
@en
type
label
Overview of techniques to acco ...... mic data association analyses.
@ast
Overview of techniques to acco ...... mic data association analyses.
@en
prefLabel
Overview of techniques to acco ...... mic data association analyses.
@ast
Overview of techniques to acco ...... mic data association analyses.
@en
P2860
P356
P1433
P1476
Overview of techniques to acco ...... omic data association analyses
@en
P2093
M J Sillanpää
P2860
P2888
P304
P356
10.1038/HDY.2010.91
P407
P577
2010-07-14T00:00:00Z
P5875
P6179
1007969924