2002
DOI: 10.1097/00125817-200211001-00003
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Genetics in medical practice

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Cited by 16 publications
(9 citation statements)
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“…In fact, after two decades of work, with substantial funding, GWAS have uncovered numerous reproducible associations of common genetic variants, mostly single nucleotide polymorphisms (SNPs; sometimes called “simple nucleotide polymorphisms” to include small insertion or deletion variants), with human traits and diseases. It is true that the cumulative effects of disease-associated SNPs have failed to account for the majority of complex-trait heritability [2], but mature GWAS data for many diseases now typically account for more than 10% of such heritability, and this information is starting to have clinical applications, particularly when combined into polygenic risk scores. For example, while the odds ratio (OR) for a given SNP genotype at a GWAS peak (the “GWAS index SNP”) is often <1.2 and seldom >1.4, meta-analyses of, for example, cancer GWAS have shown that the combined effects of a large number of susceptibility loci may become large enough to be useful for risk prediction and targeted prevention, including the provision of more frequent screening [35].…”
Section: Successes From Gwas and Challenges For Post-gwasmentioning
confidence: 99%
“…In fact, after two decades of work, with substantial funding, GWAS have uncovered numerous reproducible associations of common genetic variants, mostly single nucleotide polymorphisms (SNPs; sometimes called “simple nucleotide polymorphisms” to include small insertion or deletion variants), with human traits and diseases. It is true that the cumulative effects of disease-associated SNPs have failed to account for the majority of complex-trait heritability [2], but mature GWAS data for many diseases now typically account for more than 10% of such heritability, and this information is starting to have clinical applications, particularly when combined into polygenic risk scores. For example, while the odds ratio (OR) for a given SNP genotype at a GWAS peak (the “GWAS index SNP”) is often <1.2 and seldom >1.4, meta-analyses of, for example, cancer GWAS have shown that the combined effects of a large number of susceptibility loci may become large enough to be useful for risk prediction and targeted prevention, including the provision of more frequent screening [35].…”
Section: Successes From Gwas and Challenges For Post-gwasmentioning
confidence: 99%
“…Physicians of all specialties are increasingly using genomic tools, including whole genome and whole exome sequencing (13) and genotyping for risk variants and pharmacogenomics variants (4, 5). These tools often identify incidental or secondary findings that have important implications for disease, but are unrelated to the original purposes of testing.…”
Section: Introductionmentioning
confidence: 99%
“…Changes are already occurring in the provision of genetic services and the redefinition of professional roles [4,5,6,7,8], with a strong tendency to favour the integration of genetic medicine into other specialties [9] and into primary care [10,11,12,13,14,15]. In fact, the UK [16], many states in the USA [17,18], and some Canadian provinces such as Ontario [19] and Quebec [20] have developed plans for restructuring their genetic services.…”
Section: Introductionmentioning
confidence: 99%