(Q33198441)

23 July 2017

title

Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition (English)

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23 July 2017

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1

Susan L Slager

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23 July 2017

Stephen J Iturria

2

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23 July 2017

publication date

31 December 2003

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23 July 2017

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23 July 2017

volume

4 Suppl 1

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23 July 2017

page(s)

S13

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Extension of variance components approach to incorporate temporal trends and longitudinal pedigree data analysis.

23 July 2017

cites work

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866447

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

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866447

Multipoint quantitative-trait linkage analysis in general pedigrees

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866447

Analysing repeated measurements with possibly missing observations by modelling marginal distributions

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1866447

10.1186/1471-2156-4-S1-S13

28 July 2018

Identifiers

DOI

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Dimensions Publication ID

23 July 2017

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https://scigraph.springernature.com/pub.10.1186/1471-2156-4-s1-s13

9 September 2019

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23 July 2017

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