Association in Multifactorial Traits: How to Deal with Rare Observations? - Wikidata - wikimedia - TriplyDB

Association in Multifactorial Traits: How to Deal with Rare Observations?

Association in Multifactorial Traits: How to Deal with Rare Observations?

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Estimating haplotype effects on dichotomous outcome for unphased genotype data using a weighted penalized log-likelihood approach.

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Association in Multifactorial Traits: How to Deal with Rare Observations?

http://www.wikidata.org/entity/Q58485801

description

im Jahr 2004 veröffentlichter wissenschaftlicher Artikel

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scientific article published on 01 January 2004

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wetenschappelijk artikel

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наукова стаття, опублікована у 2004

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name

Association in Multifactorial Traits: How to Deal with Rare Observations?

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Association in Multifactorial Traits: How to Deal with Rare Observations?

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type

label

Association in Multifactorial Traits: How to Deal with Rare Observations?

@en

Association in Multifactorial Traits: How to Deal with Rare Observations?

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Association in Multifactorial Traits: How to Deal with Rare Observations?

@en

Association in Multifactorial Traits: How to Deal with Rare Observations?

@nl

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Association in multifactorial traits: how to deal with rare observations?

@en

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Essioux L

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

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Are rare variants responsible for susceptibility to complex diseases?

Statistical significance for hierarchical clustering in genetic association and microarray expression studies

Score tests for association between traits and haplotypes when linkage phase is ambiguous

A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to HLA in type 1 diabetes

A log-linear approach to case-parent-triad data: assessing effects of disease genes that act either directly or through maternal effects and that may be subject to parental imprinting.

A method for the assessment of disease associations with single-nucleotide polymorphism haplotypes and environmental variables in case-control studies

On the identification of disease mutations by the analysis of haplotype similarity and goodness of fit.

Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.

Haplotype variation and linkage disequilibrium in 313 human genes.

A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation.

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73-81

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scholarly article

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10.1159/000083028

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2

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58

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Françoise Clerget-Darpoux

Anne-Sophie Jannot

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2004-01-01T00:00:00Z

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15711087

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