Development and application of genomic control methods for genome-wide association studies using non-additive models. - Wikidata - wikimedia - TriplyDB

Development and application of genomic control methods for genome-wide association studies using non-additive models.

Development and application of genomic control methods for genome-wide association studies using non-additive models.

http://www.wikidata.org/entity/Q35072505

about

The GenABEL Project for statistical genomics Risk of false positive genetic associations in complex traits with underlying population structure: a case study Genome wide association studies using a new nonparametric model reveal the genetic architecture of 17 agronomic traits in an enlarged maize association panel The effect of rare variants on inflation of the test statistics in case-control analyses.Nonadditive Effects of Genes in Human Metabolomics.Genome-wide association analysis on normal hearing function identifies PCDH20 and SLC28A3 as candidates for hearing function and loss.Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes.Genetic dissection of bull fertility in US Jersey dairy cattle

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P2860

Development and application of genomic control methods for genome-wide association studies using non-additive models.

http://www.wikidata.org/entity/Q35072505

description

2013 nî lūn-bûn

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2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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Development and application of ...... ies using non-additive models.

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Development and application of ...... ies using non-additive models.

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Janina S Ried

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Tatiana I Axenovich

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P2860

Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations

Inference of population structure using multilocus genotype data

Estimating relatedness between individuals in general populations with a focus on their use in conservation programs

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Interrogating the major histocompatibility complex with high-throughput genomics

Principal components analysis corrects for stratification in genome-wide association studies

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Practical aspects of imputation-driven meta-analysis of genome-wide association studies

Genomic control for association studies

GenABEL: an R library for genome-wide association analysis

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Cornelia M. van Duijn

Harald Grallert

Yurii S. Aulchenko

Yakov A Tsepilov

Konstantin Strauch

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genome-wide association study

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