Abstract

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, h2) in a larger population (Framingham cohort). Quantile regression was used to test whether the offspring-parent (βOP) and full-sib (βFS) 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 2βOP/(1+ rspouse) and [(8βFSrspouse+ 1)0.5-1]/(2rspouse), where rspouse is the spouse correlation. HDL cholesterol heritability estimated from βOP increased significantly (P=4.2×10-5) from the 10th (h2 ± SE: 0.44±0.03), 25th (0.45±0.03), 50th (0.47±0.03), and 75th (0.56±0.04) to the 90th percentiles (0.65±0.06) of the offspring's age- and sex-adjusted HDL cholesterol distribution. Heritability estimated from βFS 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.

Highlights

  • Higher high-density lipoprotein (HDL) cholesterol is associated with lower coronary heart disease and stroke risk.[1]

  • We have shown that the effect size of a 47-SNP genetic risk score (GRSHDL) increased with the percentile of the HDL distribution, that is, whether HDL cholesterol concentrations were high or low relative to its population distributions.[10]

  • Apolipoprotein A1 concentrations were measured by noncompetitive enzyme-linked immunosorbent assay (ELISA), using affinity-purified polyclonal antibodies that were averaged for the third and fourth examinations, and HDL2 and HDL3 cholesterol concentrations were the average of the fourth and fifth examinations of the offspring cohort

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Summary

Introduction

Higher high-density lipoprotein (HDL) cholesterol is associated with lower coronary heart disease and stroke risk.[1]. The effect of the rs3764261 cholesterol ester transfer protein (CETP) risk allele was 2.4-fold greater at the 90th than 10th HDL percentile. We refer to this phenomenon as quantile-dependent expressivity (AKA quantile-dependent penetrance).[10,11,12,13,14]. 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). Quantile-specific heritability was estimated by 2bOP/(1 1 rspouse) and [(8bFSrspouse 1 1)0.521]/(2rspouse), where rspouse is the spouse correlation

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