(Q43533838)

24 November 2017

title

SECA: SNP effect concordance analysis using genome-wide association summary results (English)

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genome-wide association study

24 November 2017

main subject

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Dale R Nyholt

1

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language of work or name

English

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publication date

1 April 2014

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24 November 2017

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24 November 2017

volume

30

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24 November 2017

issue

14

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24 November 2017

page(s)

2086-2088

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Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors

24 November 2017

cites work

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTU171

Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTU171

Ethical and practical challenges of sharing data from genome-wide association studies: the eMERGE Consortium experience

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTU171

PLINK: a tool set for whole-genome association and population-based linkage analyses

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTU171

Abundant pleiotropy in human complex diseases and traits.

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTU171

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTU171

Genomic inflation factors under polygenic inheritance

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTU171

10.1093/BIOINFORMATICS/BTU171

21 January 2018

Identifiers

DOI

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journals/bioinformatics/Nyholt14

24 November 2017

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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