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评估遗传风险评分值狭义有效性的概念和基准。

Concept and benchmarks for assessing narrow-sense validity of genetic risk score values.

机构信息

Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois.

State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.

出版信息

Prostate. 2019 Jul;79(10):1099-1105. doi: 10.1002/pros.23821. Epub 2019 Apr 29.

Abstract

BACKGROUND

While higher genetic risk score (GRS) has been statistically associated with increased disease risk (broad-sense validity), the concept and tools for assessing the validity of reported GRS values from tests (narrow-sense validity) are underdeveloped.

METHODS

We propose two benchmarks for assessing the narrow-sense validity of GRS. The baseline benchmark requires that the mean GRS value in a general population approximates 1.0. The calibration benchmark assesses the agreement between observed risks and estimated risks (GRS values). We assessed benchmark performance for three prostate cancer (PCa) GRS tests, derived from three SNP panels with increasing stringency of selection criteria, in a PCa chemoprevention trial where 714 of 3225 men were diagnosed with PCa during the 4-year follow-up.

RESULTS

GRS from Panels 1, 2, and 3 were all statistically associated with PCa risk; P = 5.58 × 10 , P = 1 × 10 , and P = 1.5 × 10 , respectively (broad-sense validity). For narrow-sense validity, the mean GRS value among men without PCa was 1.33, 1.09, and 0.98 for Panels 1, 2, and 3, respectively (baseline benchmark). For assessing the calibration benchmark, observed risks were calculated for seven groups of men with GRS values <0.3, 0.3-0.79, 0.8-1.19, 1.2-1.49, 1.5-1.99, 2-2.99, and ≥3. The calibration slope (higher is better) was 0.15, 0.12, and 0.60, and the bias score (lower is better) between the observed risks and GRS values was 0.08, 0.08, and 0.02 for Panels 1, 2, and 3, respectively.

CONCLUSION

Performance differed considerably among GRS tests. We recommend that all GRS tests be evaluated using the two benchmarks before clinical implementation for individual risk assessment.

摘要

背景

虽然较高的遗传风险评分(GRS)在统计学上与疾病风险增加相关(广义有效性),但评估测试中报告的 GRS 值的有效性的概念和工具(狭义有效性)还不够发达。

方法

我们提出了两种评估 GRS 狭义有效性的基准。基线基准要求一般人群中的平均 GRS 值接近 1.0。校准基准评估观察到的风险与估计的风险(GRS 值)之间的一致性。我们在一项前列腺癌(PCa)化学预防试验中评估了三种来自三个 SNP 面板的 PCa GRS 测试的基准性能,这些面板的选择标准越来越严格,在 4 年的随访中,3225 名男性中有 714 名被诊断为 PCa。

结果

来自面板 1、2 和 3 的 GRS 均与 PCa 风险呈统计学相关;P=5.58×10-5、P=1×10-3 和 P=1.5×10-2(广义有效性)。对于狭义有效性,无 PCa 男性的平均 GRS 值分别为 1.33、1.09 和 0.98,分别来自面板 1、2 和 3(基线基准)。为了评估校准基准,为 GRS 值<0.3、0.3-0.79、0.8-1.19、1.2-1.49、1.5-1.99、2-2.99 和≥3 的七组男性计算了观察到的风险。校准斜率(越高越好)分别为 0.15、0.12 和 0.60,观察到的风险与 GRS 值之间的偏差评分(越低越好)分别为 0.08、0.08 和 0.02,分别来自面板 1、2 和 3。

结论

GRS 测试之间的性能差异很大。我们建议在临床实施用于个体风险评估之前,使用这两个基准评估所有 GRS 测试。

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