Ancestry, Lipoprotein(a), and Cardiovascular Risk Thresholds

JACC Review Topic of the Week

Sotirios Tsimikas, MD; Santica M. Marcovina, PHD, SCD

Disclosures

J Am Coll Cardiol. 2022;80(9):934-946. 

In This Article

Abstract and Introduction

Abstract

This study reviews ancestral differences in the genetics of the LPA gene, risk categories of elevated lipoprotein(a) [Lp(a)] as defined by guidelines, ancestry-specific Lp(a) risk, absolute and proportional risk, predictive value of risk thresholds among different ancestries, and differences between laboratory vs clinical accuracy in Lp(a) assays. For clinical decision-making, the preponderance of evidence suggests that the predictive value of Lp(a) does not vary sufficiently to mandate the use of ancestry-specific risk thresholds. This paper interprets the literature on Lp(a) and ancestral risk to support: 1) clinicians on understanding cardiovascular disease risk in different ancestral groups; 2) trialists for the design of clinical trials to ensure adequate ancestral diversity to support broad conclusions of drug effects; 3) regulators in the evaluation of the design and interpretation of results of Lp(a)-lowering trials with different Lp(a) inclusion thresholds; and 4) clinical laboratories to measure Lp(a) by assays that discriminate risk thresholds appropriately.

Introduction

With a rapidly accumulating evidence base over the last decade, lipoprotein(a) [Lp(a)] is now generally accepted as a genetic, independent risk factor for cardiovascular disease (CVD) and aortic stenosis.[1,2] This is reflected by at least 7 national and international societies recommending the measurement of Lp(a) levels in either all adults at least once or in subjects in intermediate- or high-risk categories based on clinical characteristics. The development of new therapeutic modalities to inhibit translation of LPA messenger RNA in the hepatocyte[3] has allowed the testing of the "Lp(a) hypothesis," namely that lowering Lp(a) levels will lead to a reduction in CVD events. A major unresolved issue in the field is the appropriate interpretation of current data of risk thresholds according to ancestry. The relevance of this issue is reflected by the clinically significant differences in population mean Lp(a) levels.[4] Elevated Lp(a) may influence absolute risk across populations with differences in population mean Lp(a) levels and also influence proportional risk at the individual level irrespective of the population mean prevalence.

This review summarizes and interprets the literature on ancestral differences in Lp(a) levels, their measurement with current techniques, and their potential impact in the emerging field of Lp(a) in clinical trials, regulatory implications, clinical investigation, and clinical care.[5]

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