Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
J Clin Lipidol. 2020 Jul-Aug;14(4):448-458.e0. doi: 10.1016/j.jacl.2020.05.099. Epub 2020 May 29.
We have previously shown that the effect of a high-density lipoprotein (HDL) genetic risk score depends on whether the phenotype (HDL cholesterol) is high or low relative to its distribution (quantile-dependent expressivity).
Evidence for quantile-dependent expressivity was sought using a more inclusive genetic measure (quantile-specific heritability, h) in a larger population (Framingham cohort).
Quantile regression was used to test whether the offspring-parent (β) and full-sib (β) regression slopes increased with the percentiles of the offspring's HDL distribution in 10,650 parent-offspring pairs and 2130 sibships. Quantile-specific heritability was estimated by 2β/(1 + r) and [(8βr + 1)-1]/(2r), where r is the spouse correlation.
HDL cholesterol heritability estimated from β increased significantly (P = 4.2 × 10) from the 10 (h ± SE: 0.44 ± 0.03), 25 (0.45 ± 0.03), 50 (0.47 ± 0.03), and 75 (0.56 ± 0.04) to the 90 percentiles (0.65 ± 0.06) of the offspring's age- and sex-adjusted HDL cholesterol distribution. Heritability estimated from β also increased significantly with the percentiles of the offspring's HDL cholesterol (P = .002), apo A1 (P = .006), HDL2 cholesterol (P = .003), and HDL3 cholesterol distribution (P = .02). Consistent with quantile-dependent expressivity, published pharmacologic and nutritional interventions that raised (eg, statin, fibrates, estrogen replacement therapy, efavirenz, and dietary fat) or lowered HDL cholesterol concentrations (tamoxifen, dietary carbohydrate) correspondingly increased and decreased genetic effects.
HDL cholesterol heritability increased with increasing percentile of the offspring's HDL distribution. Whereas precision medicine is based on the premise that genetic markers identify patients most likely to benefit from drugs and diet, quantile-dependent expressivity postulates that the strong signals from these genetic markers simply trace the heritability increase with increasing plasma HDL concentrations. Thus, quantile-dependent expressivity provides an alternative interpretation to these genotype-specific effects.
我们之前已经表明,高密度脂蛋白(HDL)遗传风险评分的效果取决于表型(HDL 胆固醇)相对于其分布(分位数依赖性表达)是高还是低。
使用更具包容性的遗传测量(分位数特异性遗传度,h)在更大的人群(弗雷明汉队列)中寻求分位数依赖性表达的证据。
使用 10650 对父母-子女和 2130 对兄弟姐妹对,采用分位数回归来检验子女 HDL 分布的百分位数是否会增加子女-父母(β)和全同胞(β)回归斜率。分位数特异性遗传度通过 2β/(1 + r)和[(8βr + 1)-1]/(2r)来估计,其中 r 是配偶相关性。
从β估计的 HDL 胆固醇遗传度从子女 HDL 胆固醇年龄和性别调整分布的第 10(h ± SE:0.44 ± 0.03)、25(0.45 ± 0.03)、50(0.47 ± 0.03)和 75(0.56 ± 0.04)百分位显著增加(P = 4.2×10)到第 90 百分位(0.65 ± 0.06)。从β估计的遗传度也随着子女 HDL 胆固醇(P =.002)、载脂蛋白 A1(P =.006)、HDL2 胆固醇(P =.003)和 HDL3 胆固醇分布(P =.02)的百分位显著增加。与分位数依赖性表达一致,已发表的药理学和营养干预措施可升高(例如他汀类药物、贝特类药物、雌激素替代疗法、依非韦伦和饮食脂肪)或降低 HDL 胆固醇浓度(他莫昔芬、饮食碳水化合物),相应地增加和减少遗传效应。
HDL 胆固醇遗传度随着子女 HDL 分布百分位的增加而增加。虽然精准医学基于遗传标记识别最有可能从药物和饮食中获益的患者的前提,但分位数依赖性表达假设这些遗传标记的强信号仅追踪遗传度随血浆 HDL 浓度增加而增加。因此,分位数依赖性表达为这些特定于基因型的效应提供了另一种解释。