Literature DB >> 16875915

Identification of excess clustering of coronary heart diseases among extended pedigrees in a genealogical population database.

Benjamin D Horne1, Nicola J Camp, Joseph B Muhlestein, Lisa A Cannon-Albright.   

Abstract

BACKGROUND: First-degree family history of early coronary artery disease (CAD) and myocardial infarction (MI) is prognostic among disease-free individuals but may be unreliable. This study evaluated deaths caused by CAD, MI, hypertensive heart disease (HtnHD), and congestive heart failure (CHF) among close and distant relatives.
METHODS: The Utah Population Database contains >2.2 million individual records with genealogy data and 250,000 linked death certificates. Deaths caused by CAD (n = 28,469), MI (n = 26,468), HtnHD (n = 3933), and CHF (n = 11,784) were studied. Familial relative risks (FRRs) were assessed for first- and second-degree relatives. Familiality was also evaluated using the Genealogical Index of Familiality (GIF), which considers close and distant genetic relationships in the Utah Population Database.
RESULTS: Familial relative risks in first-degree (FRR = 1.25, P < .0001) and second-degree (FRR = 1.06, P = .0002) relatives were significant for early age at MI death (<65 years old). Genealogical Index of Familiality analysis demonstrated excess relatedness for deaths caused by MI (case GIF 2.93, mean control GIF 2.73, P < .001) and CHF (2.92 vs 2.66, P < .001). For early age at death, GIFs were significant for MI (3.06 vs 2.54, P < .001), HtnHD (3.22 vs 2.44, P = .003), and CHF (2.64 vs 2.23, P = .003).
CONCLUSIONS: Deaths caused by MI and CHF demonstrate a heritable component in close and distant relatives. For MI, CHF, and HtnHD, for which findings were more pronounced in early age at death, gene discovery may be most effective among early-onset clusters. Excess relatedness was not found for CAD death--perhaps because of heterogeneity within the phenotype--suggesting that this may be a suboptimal phenotype for genetic study.

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Year:  2006        PMID: 16875915     DOI: 10.1016/j.ahj.2005.12.028

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  11 in total

Review 1.  Genetics and heritability of coronary artery disease and myocardial infarction.

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Journal:  Clin Res Cardiol       Date:  2006-10-10       Impact factor: 5.460

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Authors:  Deborah T Blumenthal; Lisa A Cannon-Albright
Journal:  Neurology       Date:  2008-09-23       Impact factor: 9.910

3.  Severity of inducible myocardial ischemia predicts incident acute coronary syndromes in asymptomatic individuals with a family history of premature coronary artery disease.

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4.  Relation of subclinical coronary artery atherosclerosis to cerebral white matter disease in healthy subjects from families with early-onset coronary artery disease.

Authors:  Brian G Kral; Paul Nyquist; Dhananjay Vaidya; David Yousem; Lisa R Yanek; Elliot K Fishman; Lewis C Becker; Diane M Becker
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5.  Complex genotype sarcomas display familial inheritance independent of known cancer predisposition syndromes.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-01-17       Impact factor: 4.254

6.  A heritable predisposition to pituitary tumors.

Authors:  William T Couldwell; Lisa Cannon-Albright
Journal:  Pituitary       Date:  2010-06       Impact factor: 4.107

7.  Incidence of coronary artery disease in siblings of patients with premature coronary artery disease: 10 years of follow-up.

Authors:  Dhananjay Vaidya; Lisa R Yanek; Taryn F Moy; Thomas A Pearson; Lewis C Becker; Diane M Becker
Journal:  Am J Cardiol       Date:  2007-08-16       Impact factor: 2.778

8.  Population-based family history-specific risks for colorectal cancer: a constellation approach.

Authors:  David P Taylor; Randall W Burt; Marc S Williams; Peter J Haug; Lisa A Cannon-Albright
Journal:  Gastroenterology       Date:  2009-12-21       Impact factor: 22.682

9.  Use of a genealogical database demonstrates heritability of pulmonary fibrosis.

Authors:  Mary Beth Scholand; Hilary Coon; Roger Wolff; Lisa Cannon-Albright
Journal:  Lung       Date:  2013-07-19       Impact factor: 2.584

10.  Genetic analysis of low BMI phenotype in the Utah Population Database.

Authors:  William R Yates; Craig Johnson; Patrick McKee; Lisa A Cannon-Albright
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

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