Literature DB >> 17436307

An application of the patient rule-induction method for evaluating the contribution of the Apolipoprotein E and Lipoprotein Lipase genes to predicting ischemic heart disease.

Greg Dyson1, Ruth Frikke-Schmidt, Børge G Nordestgaard, Anne Tybjaerg-Hansen, Charles F Sing.   

Abstract

Different combinations of genetic and environmental risk factors are known to contribute to the complex etiology of ischemic heart disease (IHD) in different subsets of individuals. We employed the Patient Rule-Induction Method (PRIM) to select the combination of risk factors and risk factor values that identified each of 16 mutually exclusive partitions of individuals having significantly different levels of risk of IHD. PRIM balances two competing objectives: (1) finding partitions where the risk of IHD is high and (2) maximizing the number of IHD cases explained by the partitions. A sequential PRIM analysis was applied to data on the incidence of IHD collected over 8 years for a sample of 5,455 unrelated individuals from the Copenhagen City Heart Study (CCHS) to assess the added value of variation in two candidate susceptibility genes beyond the traditional, lipid and body mass index risk factors for IHD. An independent sample of 362 unrelated individuals also from the city of Copenhagen was used to test the model obtained for each of the hypothesized partitions. Copyright (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17436307      PMCID: PMC2045699          DOI: 10.1002/gepi.20225

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  33 in total

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2.  Nomenclature for the description of human sequence variations.

Authors:  J T den Dunnen; S E Antonarakis
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3.  Controlling false-negative errors in microarray differential expression analysis: a PRIM approach.

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Authors:  Charles F Sing; Jari H Stengård; Sharon L R Kardia
Journal:  Arterioscler Thromb Vasc Biol       Date:  2003-05-01       Impact factor: 8.311

6.  Impact of alcohol intake on measures of lipid metabolism depends on context defined by gender, body mass index, cigarette smoking, and apolipoprotein E genotype.

Authors:  Suzanne Lussier-Cacan; Aline Bolduc; Marianne Xhignesse; Théophile Niyonsenga; Charles F Sing
Journal:  Arterioscler Thromb Vasc Biol       Date:  2002-05-01       Impact factor: 8.311

7.  Complex adaptive systems and human health: the influence of common genotypes of the apolipoprotein E (ApoE) gene polymorphism and age on the relational order within a field of lipid metabolism traits.

Authors:  K E Zerba; R E Ferrell; C F Sing
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8.  Coronary heart disease risk factors ranked by importance for the individual and community. A 21 year follow-up of 12 000 men and women from The Copenhagen City Heart Study.

Authors:  P Schnohr; J S Jensen; H Scharling; B G Nordestgaard
Journal:  Eur Heart J       Date:  2002-04       Impact factor: 29.983

9.  Effect of gender on phenotypic expression of the S447X mutation in LPL: the Copenhagen City Heart Study.

Authors:  Hans H Wittrup; Børge G Nordestgaard; Rolf Steffensen; Gorm Jensen; Anne Tybjaerg-Hansen
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10.  Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project.

Authors:  R M Conroy; K Pyörälä; A P Fitzgerald; S Sans; A Menotti; G De Backer; D De Bacquer; P Ducimetière; P Jousilahti; U Keil; I Njølstad; R G Oganov; T Thomsen; H Tunstall-Pedoe; A Tverdal; H Wedel; P Whincup; L Wilhelmsen; I M Graham
Journal:  Eur Heart J       Date:  2003-06       Impact factor: 29.983

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  9 in total

1.  Subgroups at high risk for ischaemic heart disease:identification and validation in 67 000 individuals from the general population.

Authors:  Ruth Frikke-Schmidt; Anne Tybjærg-Hansen; Greg Dyson; Christiane L Haase; Marianne Benn; Børge G Nordestgaard; Charles F Sing
Journal:  Int J Epidemiol       Date:  2014-10-30       Impact factor: 7.196

2.  Common clinical practice versus new PRIM score in predicting coronary heart disease risk.

Authors:  Ruth Frikke-Schmidt; Anne Tybjærg-Hansen; Peter Schnohr; Gorm B Jensen; Børge G Nordestgaard
Journal:  Atherosclerosis       Date:  2010-07-27       Impact factor: 5.162

3.  Is life law-like?

Authors:  Kenneth M Weiss; Anne V Buchanan
Journal:  Genetics       Date:  2011-08       Impact factor: 4.562

4.  Context-dependent associations between variation in risk of ischemic heart disease and variation in the 5' promoter region of the apolipoprotein E gene in Danish women.

Authors:  Jari H Stengård; Greg Dyson; Ruth Frikke-Schmidt; Anne Tybjaerg-Hansen; Borge G Nordestgaard; Charles F Sing
Journal:  Circ Cardiovasc Genet       Date:  2009-12-03

5.  Efficient identification of context dependent subgroups of risk from genome-wide association studies.

Authors:  Greg Dyson; Charles F Sing
Journal:  Stat Appl Genet Mol Biol       Date:  2014-04-01

6.  Validated context-dependent associations of coronary heart disease risk with genotype variation in the chromosome 9p21 region: the Atherosclerosis Risk in Communities study.

Authors:  Christine M Lusk; Greg Dyson; Andrew G Clark; Christie M Ballantyne; Ruth Frikke-Schmidt; Anne Tybjærg-Hansen; Eric Boerwinkle; Charles F Sing
Journal:  Hum Genet       Date:  2014-06-03       Impact factor: 4.132

7.  Modifications to the Patient Rule-Induction Method that utilize non-additive combinations of genetic and environmental effects to define partitions that predict ischemic heart disease.

Authors:  Greg Dyson; Ruth Frikke-Schmidt; Børge G Nordestgaard; Anne Tybjaerg-Hansen; Charles F Sing
Journal:  Genet Epidemiol       Date:  2009-05       Impact factor: 2.135

8.  A PRIM approach to predictive-signature development for patient stratification.

Authors:  Gong Chen; Hua Zhong; Anton Belousov; Viswanath Devanarayan
Journal:  Stat Med       Date:  2014-10-27       Impact factor: 2.373

9.  An Application of the Patient Rule-Induction Method to Detect Clinically Meaningful Subgroups from Failed Phase III Clinical Trials.

Authors:  Greg Dyson
Journal:  Int J Clin Biostat Biom       Date:  2021-06-28
  9 in total

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