Systematic review of genetic risk score in coronary heart disease and other diseases
Abstract
In order to better take advantage of the abundant results from large-scale genomic association studies, investigators are turning to a genetic risk score (GRS) method in order to combine the information from common modest-effect risk alleles into an efficient risk assessment statistic. The statistical properties of these GRSs are poorly understood. As a first step toward a better understanding of GRSs, a systematic analysis of recent investigations using a GRS was undertaken. GRS studies were searched in the areas of coronary heart disease (CHD), cancer, and other common diseases using bibliographic databases and by hand-searching reference lists and journals. Twenty-one independent case-control studies, cohort studies, and simulation studies (12 in CHD, 9 in other diseases) were identified. The underlying statistical assumptions of the GRS using the experience of the Framingham risk score were investigated. Improvements in the construction of a GRS guided by the concept of composite indicators are discussed. The GRS will be a promising risk assessment tool to improve prediction and diagnosis of common diseases.
Subject Area
Biostatistics|Genetics|Epidemiology
Recommended Citation
Sun, Jia, "Systematic review of genetic risk score in coronary heart disease and other diseases" (2009). Texas Medical Center Dissertations (via ProQuest). AAI1467317.
https://digitalcommons.library.tmc.edu/dissertations/AAI1467317