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Evaluation of the discriminative accuracy of genomic profiling in the prediction of common complex diseases

机译:评价基因组图谱对普通复杂疾病的预测的准确性

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摘要

Genetic testing for susceptibility to common diseases based on a combination of genetic markers may be needed because the effect size associated with each genetic marker is small. Whether or not a genome profile based on a combination of markers could yield a useful test can be evaluated by assessing the discriminative accuracy. The authors present a simple method to calculate the clinical discriminative accuracy of a genomic profile when the relative risk and genotype frequency of each genotype are known. In addition, the clinical discriminative accuracy of a genetic test is presented for given values of the heritability and prevalence of the disease and for the population-attributable fraction of the combined genetic markers. For given values of relative risk and genotype frequency, the discriminative accuracy increases with increasing heritability but declines with increasing prevalence of the disease. For a given value of population-attributable fraction, the discriminative accuracy increases with increasing relative risks, but declines with increasing genotype frequency. On the basis of population-attributable fraction and estimates of heritability of disease, the number of risk genotypes required to have a reasonable clinical discriminative accuracy is much higher than the genome profiles available at present.
机译:由于与每个遗传标记物相关的效应量很小,可能需要基于遗传标记物的遗传测试对常见疾病的易感性。基于标记组合的基因组图谱是否可以产生有用的检测结果,可以通过评估判别准确性来进行评估。当已知每种基因型的相对风险和基因型频率时,作者提出一种简单的方法来计算基因组图谱的临床判别准确性。另外,针对给定的疾病遗传力和患病率值以及组合遗传标记的归因于人群的比例,提出了遗传测试的临床判别准确性。对于相对危险度和基因型频率的给定值,判别准确性随着遗传力的增加而增加,但随着疾病流行率的增加而下降。对于给定的人口归因分数值,判别准确性随着相对风险的增加而增加,但随着基因型频率的增加而下降。根据人群可归因的分数和疾病遗传力的估计,具有合理的临床判别准确性所需的风险基因型数量远高于目前可用的基因组图谱。

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