A Critical Appraisal of the Scientific Basis of Commercial Genomic Profiles Used to Assess Health Risks and Personalize Health Interventions

摘要: Predictive genomic profiling used to produce personalized nutrition and other lifestyle health recommendations is currently offered directly consumers. By examining previous meta-analyses HuGE reviews, we assessed the scientific evidence supporting purported gene-disease associations for genes included in profiles online. We identified seven companies that offer predictive profiling. searched PubMed reviews of studies published from 2000 through June 2007 which genotypes people with a disease were compared those healthy or general-population control group. The tested at least 69 different polymorphisms 56 genes. Of tested, 24 (43%) not reviewed meta-analyses. For remaining 32 genes, found 260 examined 160 unique polymorphism-disease associations, only 60 (38%) be statistically significant. Even significant involved 29 28 diseases, generally modest, synthetic odds ratios ranging 0.54 0.88 protective variants 1.04 3.2 risk variants. Furthermore, cardiogenomic more frequently associated noncardiovascular diseases than cardiovascular though two five osteogenomic did show disease, bone diseases. There insufficient conclude are useful measuring genetic common developing diet prevention.