(Q44971105)

7 December 2017

title

Inference from genome-wide association studies using a novel Markov model (English)

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genome-wide association study

7 December 2017

main subject

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1

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7 December 2017

George Davey Smith

3

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Jonathan Sterne

series ordinal

2

object named as

Jonathan A C Sterne

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7 December 2017

Peter J Green

4

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7 December 2017

publication date

1 September 2008

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7 December 2017

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7 December 2017

volume

32

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7 December 2017

issue

6

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7 December 2017

page(s)

497-504

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Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies

7 December 2017

cites work

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Inference from Iterative Simulation Using Multiple Sequences

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Monte Carlo sampling methods using Markov chains and their applications

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Linkage disequilibrium mapping identifies a 390 kb region associated with CYP2D6 poor drug metabolising activity

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

A block-free hidden Markov model for genotypes and its application to disease association.

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Equation of State Calculations by Fast Computing Machines

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

An integrated approach to the meta-analysis of genetic association studies using Mendelian randomization

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

A flexible Bayesian framework for modeling haplotype association with disease, allowing for dominance effects of the underlying causative variants

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Multipoint linkage-disequilibrium mapping narrows location interval and identifies mutation heterogeneity

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

A comparison of bayesian methods for haplotype reconstruction from population genotype data

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

A New Statistical Method for Haplotype Reconstruction from Population Data

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

The International HapMap Project

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

A haplotype map of the human genome

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

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

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Bayesian graphical models for genomewide association studies

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Assessing the probability that a positive report is false: an approach for molecular epidemiology studies

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Fine mapping of disease genes via haplotype clustering.

1 reference

https://api.crossref.org/works/10.1002%2FGEPI.20322

7 January 2021

Identifiers

DOI

10.1002/GEPI.20322

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7 December 2017

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