Two-phase designs for joint quantitative-trait-dependent and genotype-dependent sampling in post-GWAS regional sequencing.

about

Two-phase designs for joint quantitative-trait-dependent and genotype-dependent sampling in post-GWAS regional sequencing.

Item

http://www.wikidata.org/entity/Q47312205

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Two-phase designs for joint qu ...... post-GWAS regional sequencing.

@en

Two-phase designs for joint qu ...... post-GWAS regional sequencing.

@nl

type

Item

label

Two-phase designs for joint qu ...... post-GWAS regional sequencing.

@en

Two-phase designs for joint qu ...... post-GWAS regional sequencing.

@nl

prefLabel

Two-phase designs for joint qu ...... post-GWAS regional sequencing.

@en

Two-phase designs for joint qu ...... post-GWAS regional sequencing.

@nl

P1476

Two-phase designs for joint qu ...... post-GWAS regional sequencing.

@en

P2093

Radu V Craiu

http://www.w3.org/2001/XMLSchema#string

Shelley B Bull

http://www.w3.org/2001/XMLSchema#string

P2860

Two-phase and family-based designs for next-generation sequencing studies

Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19.

Identification of low frequency and rare variants for hypertension using sparse-data methods

Are quantitative trait-dependent sampling designs cost-effective for analysis of rare and common variants?

Using extreme phenotype sampling to identify the rare causal variants of quantitative traits in association studies.

Re-ranking sequencing variants in the post-GWAS era for accurate causal variant identification

Semiparametric inference for a 2-stage outcome-auxiliary-dependent sampling design with continuous outcome.

Quantitative trait analysis in sequencing studies under trait-dependent sampling.

Two-phase designs to follow-up genome-wide association signals with DNA resequencing studies

Bayesian refinement of association signals for 14 loci in 3 common diseases.

P304

104-116

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1002/GEPI.22099

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Osvaldo Espin-Garcia

P577

2017-12-14T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29239496

http://www.w3.org/2001/XMLSchema#string

P932

5814750

http://www.w3.org/2001/XMLSchema#string