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Accepted (AM)Open Access (License Unspecified), Open
Journal article
A new estimate of family disease history providing improved prediction of disease risks
Statistics in medicine, v 28(8), pp 1269-1283
15 Apr 2009
PMID: 19170247
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Complex diseases often aggregate within families and using the history of family members' disease can potentially increase the accuracy of the risk assessment and allow clinicians to better target on high risk individuals. However, available family risk scores do not reflect the age of disease onset, gender and family structures simultaneously. In this paper, we propose an alternative approach for a family risk score, the stratified log-rank family score (SLFS), which incorporates the age of disease onset of family members, gender differences and the relationship among family members. Via simulation, we demonstrate that the new SLFS is more closely associated with the true family risk for the disease and more robust to family sizes than two existing methods. We apply our proposed method and the two existing methods to a study of stroke and heart disease. The results show that assessing family history can improve the prediction of disease risks and the SLFS has strongest positive associations with both myocardial infarction and stroke. Copyright (C) 2009 John Wiley & Sons, Ltd.
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Details
- Title
- A new estimate of family disease history providing improved prediction of disease risks
- Creators
- Rui Feng - University of Alabama at BirminghamLeslie A. McClure - University of Alabama at BirminghamHemant K. Tiwari - University of Alabama at BirminghamGeorge Howard - University of Alabama at Birmingham
- Publication Details
- Statistics in medicine, v 28(8), pp 1269-1283
- Publisher
- Wiley
- Number of pages
- 15
- Grant note
- Department of Health and Human Services R01HL080477 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) U01 NS041588 / National Institute of Neurological Disorders and Stroke; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA U01NS041588 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000264645400005
- Scopus ID
- 2-s2.0-65649109258
- Other Identifier
- 991019231735204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Mathematical & Computational Biology
- Medical Informatics
- Medicine, Research & Experimental
- Public, Environmental & Occupational Health
- Statistics & Probability