Localization of genes involved in the metabolic syndrome using multivariate linkage analysis. (Q33198472)

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24 November 2019

title

Localization of genes involved in the metabolic syndrome using multivariate linkage analysis (English)

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24 November 2019

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multivariate statistics

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2

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24 November 2019

author name string

Curtis Olswold

series ordinal

1

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24 November 2019

publication date

31 December 2003

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24 November 2019

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:14975125%20AND%20SRC:MED&resulttype=core&format=json

24 November 2019

volume

4 Suppl 1

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24 November 2019

page(s)

S57

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https://scigraph.springernature.com/pub.10.1186/1471-2156-4-s1-s57

24 November 2019

exact match

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cites work

Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III)

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Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the framingham heart study

21 June 2018

1 reference

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A comparison of power to detect a QTL in sib-pair data using multivariate phenotypes, mean phenotypes, and factor scores

21 June 2018

1 reference

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A twin-pronged attack on complex traits

21 June 2018

1 reference

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Robust variance-components approach for assessing genetic linkage in pedigrees

21 June 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866494

A multivariate method for detecting genetic linkage, with application to a pedigree with an adverse lipoprotein phenotype

21 June 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866494

The power of multivariate quantitative-trait loci linkage analysis is influenced by the correlation between variables

21 June 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866494

An EM algorithm for obtaining maximum likelihood estimates in the multi-phenotype variance components linkage model.

31 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866494

Multiple phenotype modeling in gene-mapping studies of quantitative traits: power advantages

31 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866494

Assessing linkage on chromosome 5 using components of variance approach: univariate versus multivariate.

31 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866494

Comparison of Multivariate Tests for Genetic Linkage

31 October 2018

1 reference

12 December 2020

The investigation of linkage between a quantitative trait and a marker locus

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12 December 2020

Increase in power through multivariate analyses

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12 December 2020

Bivariate quantitative trait linkage analysis: pleiotropy versus co-incident linkages

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12 December 2020

10.1186/1471-2156-4-S1-S57

Identifiers

DOI

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:14975125%20AND%20SRC:MED&resulttype=core&format=json

Dimensions Publication ID

24 November 2019

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https://scigraph.springernature.com/pub.10.1186/1471-2156-4-s1-s57

9 September 2019

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:14975125%20AND%20SRC:MED&resulttype=core&format=json

24 November 2019

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