The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases (Q33240664)

24 July 2017

The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases (English)

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24 July 2017

6

Edith J M Feskens

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24 July 2017

3

Nico Nagelkerke

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24 July 2017

A Geert Heidema

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24 July 2017

Jolanda M A Boer

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2

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24 July 2017

Edwin C M Mariman

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4

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24 July 2017

Daphne L van der A

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5

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24 July 2017

21 April 2006

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24 July 2017

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24 July 2017

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24 July 2017

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Creative Commons Attribution 2.0 Generic

24 July 2017

start time

21 April 2006

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

1 reference

April 2022 Public Data File from Crossref

exact match

https://scigraph.springernature.com/pub.10.1186/1471-2156-7-23

0 references

cites work

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21 June 2018

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21 June 2018

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Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases

21 June 2018

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Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity

21 June 2018

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New strategies for identifying gene-gene interactions in hypertension

21 June 2018

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A perspective on epistasis: limits of models displaying no main effect

21 June 2018

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Trimming, weighting, and grouping SNPs in human case-control association studies

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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Multifactor-dimensionality reduction shows a two-locus interaction associated with Type 2 diabetes mellitus.

31 October 2018

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31 October 2018

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31 October 2018

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Assessing optimal neural network architecture for identifying disease-associated multi-marker genotypes using a permutation test, and application to calpain 10 polymorphisms associated with diabetes.

31 October 2018

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Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions.

31 October 2018

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The relationship between plasma t-PA and PAI-1 levels is dependent on epistatic effects of the ACE I/D and PAI-1 4G/5G polymorphisms

31 October 2018

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Neural network analysis of complex traits.

31 October 2018

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Identifying SNPs predictive of phenotype using random forests

31 October 2018

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Multilocus analysis of hypertension: A hierarchical approach

31 October 2018

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12 December 2020

Statistical multilocus methods for disequilibrium analysis in complex traits

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12 December 2020

Multi-locus interactions predict risk for post-PTCA restenosis: an approach to the genetic analysis of common complex disease

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12 December 2020

A comparison of combinatorial partitioning and linear regression for the detection of epistatic effects of the ACE I/D and PAI-1 4G/5G polymorphisms on plasma PAI-1 levels

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12 December 2020

Identifiers

DOI

10.1186/1471-2156-7-23

1 reference

Dimensions Publication ID

24 July 2017

1 reference

https://scigraph.springernature.com/pub.10.1186/1471-2156-7-23

9 September 2019

1 reference

24 July 2017

1 reference