Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study

Abstract Cardiovascular diseases are associated with combinations of phenotypic traits, which are in turn caused by a combination of environmental and genetic factors. Because of the diversity of pathways that may lead to cardiovascular diseases, we examined the so-called intermediate phenotypes, wh...
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Gespeichert in:

Autor*in:	Waaijenborg, Sandra [verfasserIn] Zwinderman, Aeilko H

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2009

Schlagwörter:	Canonical Correlation Canonical Correlation Analysis Canonical Variate Framingham Heart Study Weighted Linear Combination

Anmerkung:	© Waaijenborg and Zwinderman; licensee BioMed Central Ltd. 2009

Übergeordnetes Werk:	Enthalten in: BMC proceedings - London : BioMed Central, 2007, 3(2009), Suppl 7 vom: 15. Dez.
Übergeordnetes Werk:	volume:3 ; year:2009 ; number:Suppl 7 ; day:15 ; month:12

Links:	Volltext

DOI / URN:	10.1186/1753-6561-3-S7-S47

Katalog-ID:	SPR028430697

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allfieldsSound	10.1186/1753-6561-3-S7-S47 doi (DE-627)SPR028430697 (SPR)1753-6561-3-S7-S47-e DE-627 ger DE-627 rakwb eng Waaijenborg, Sandra verfasserin aut Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Waaijenborg and Zwinderman; licensee BioMed Central Ltd. 2009 Abstract Cardiovascular diseases are associated with combinations of phenotypic traits, which are in turn caused by a combination of environmental and genetic factors. Because of the diversity of pathways that may lead to cardiovascular diseases, we examined the so-called intermediate phenotypes, which are often repeatedly measured. We developed a penalized nonlinear canonical correlation analysis to associate multiple repeatedly measured traits with high-dimensional single-nucleotide polymorphism data. Canonical Correlation (dpeaa)DE-He213 Canonical Correlation Analysis (dpeaa)DE-He213 Canonical Variate (dpeaa)DE-He213 Framingham Heart Study (dpeaa)DE-He213 Weighted Linear Combination (dpeaa)DE-He213 Zwinderman, Aeilko H aut Enthalten in BMC proceedings London : BioMed Central, 2007 3(2009), Suppl 7 vom: 15. Dez. (DE-627)559080840 (DE-600)2411867-9 1753-6561 nnns volume:3 year:2009 number:Suppl 7 day:15 month:12 https://dx.doi.org/10.1186/1753-6561-3-S7-S47 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2009 Suppl 7 15 12
language	English
source	Enthalten in BMC proceedings 3(2009), Suppl 7 vom: 15. Dez. volume:3 year:2009 number:Suppl 7 day:15 month:12
sourceStr	Enthalten in BMC proceedings 3(2009), Suppl 7 vom: 15. Dez. volume:3 year:2009 number:Suppl 7 day:15 month:12
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institution	findex.gbv.de
topic_facet	Canonical Correlation Canonical Correlation Analysis Canonical Variate Framingham Heart Study Weighted Linear Combination
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author	Waaijenborg, Sandra
spellingShingle	Waaijenborg, Sandra misc Canonical Correlation misc Canonical Correlation Analysis misc Canonical Variate misc Framingham Heart Study misc Weighted Linear Combination Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study
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topic_title	Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study Canonical Correlation (dpeaa)DE-He213 Canonical Correlation Analysis (dpeaa)DE-He213 Canonical Variate (dpeaa)DE-He213 Framingham Heart Study (dpeaa)DE-He213 Weighted Linear Combination (dpeaa)DE-He213
topic	misc Canonical Correlation misc Canonical Correlation Analysis misc Canonical Variate misc Framingham Heart Study misc Weighted Linear Combination
topic_unstemmed	misc Canonical Correlation misc Canonical Correlation Analysis misc Canonical Variate misc Framingham Heart Study misc Weighted Linear Combination
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title	Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study
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title_full	Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study
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title_sort	associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the framingham heart study
title_auth	Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study
abstract	Abstract Cardiovascular diseases are associated with combinations of phenotypic traits, which are in turn caused by a combination of environmental and genetic factors. Because of the diversity of pathways that may lead to cardiovascular diseases, we examined the so-called intermediate phenotypes, which are often repeatedly measured. We developed a penalized nonlinear canonical correlation analysis to associate multiple repeatedly measured traits with high-dimensional single-nucleotide polymorphism data. © Waaijenborg and Zwinderman; licensee BioMed Central Ltd. 2009
abstractGer	Abstract Cardiovascular diseases are associated with combinations of phenotypic traits, which are in turn caused by a combination of environmental and genetic factors. Because of the diversity of pathways that may lead to cardiovascular diseases, we examined the so-called intermediate phenotypes, which are often repeatedly measured. We developed a penalized nonlinear canonical correlation analysis to associate multiple repeatedly measured traits with high-dimensional single-nucleotide polymorphism data. © Waaijenborg and Zwinderman; licensee BioMed Central Ltd. 2009
abstract_unstemmed	Abstract Cardiovascular diseases are associated with combinations of phenotypic traits, which are in turn caused by a combination of environmental and genetic factors. Because of the diversity of pathways that may lead to cardiovascular diseases, we examined the so-called intermediate phenotypes, which are often repeatedly measured. We developed a penalized nonlinear canonical correlation analysis to associate multiple repeatedly measured traits with high-dimensional single-nucleotide polymorphism data. © Waaijenborg and Zwinderman; licensee BioMed Central Ltd. 2009
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title_short	Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study
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