Ancestral diversity in lipoprotein(a) studies helps address evidence gaps

• Published in: Open heart Vol. 10; no. 2; p. e002382
• Main Authors: Lee, Moa P, Dimos, Sofia F, Raffield, Laura M, Wang, Zhe, Ballou, Anna F, Downie, Carolina G, Arehart, Christopher H, Correa, Adolfo, de Vries, Paul S, Du, Zhaohui, Gignoux, Christopher R, Gordon-Larsen, Penny, Guo, Xiuqing, Haessler, Jeffrey, Howard, Annie Green, Hu, Yao, Kassahun, Helina, Kent, Shia T, Lopez, J Antonio G, Monda, Keri L, North, Kari E, Peters, Ulrike, Preuss, Michael H, Rich, Stephen S, Rhodes, Shannon L, Yao, Jie, Yarosh, Rina, Tsai, Michael Y, Rotter, Jerome I, Kooperberg, Charles L, Loos, Ruth J F, Ballantyne, Christie, Avery, Christy L, Graff, Mariaelisa
• Format: Journal Article
• Language: English
• Published: England British Cardiovascular Society 01.08.2023; BMJ Publishing Group LTD; BMJ Publishing Group
• Series: Original research
• Subjects: Atherosclerosis; Biobanks; biomarkers; Cardiac Risk Factors and Prevention; Cardiovascular disease; Clinical trials; Coronary Artery Disease - diagnosis; Coronary Artery Disease - epidemiology; Coronary Artery Disease - genetics; Ecosystems; epidemiology; Evidence Gaps; genetic association studies; genome-wide association study; Genomes; Humans; Laboratory animals; Lipoprotein(a) - genetics; Lipoproteins; Multiculturalism & pluralism; Myocardial Ischemia; Pathogenesis; Population; Public health; Risk Factors; Statistical analysis; United Kingdom > UK; epidemiology; genetic association studies; biomarkers; genome-wide association study
• ISSN: 2053-3624; 2398-595X; 2053-3624
• DOI: 10.1136/openhrt-2023-002382

IntroductionThe independent and causal cardiovascular disease risk factor lipoprotein(a) (Lp(a)) is elevated in >1.5 billion individuals worldwide, but studies have prioritised European populations.MethodsHere, we examined how ancestrally diverse studies could clarify Lp(a)’s genetic architecture, inform efforts examining application of Lp(a) polygenic risk scores (PRS), enable causal inference and identify unexpected Lp(a) phenotypic effects using data from African (n=25 208), East Asian (n=2895), European (n=362 558), South Asian (n=8192) and Hispanic/Latino (n=8946) populations.ResultsFourteen genome-wide significant loci with numerous population specific signals of large effect were identified that enabled construction of Lp(a) PRS of moderate (R2=15% in East Asians) to high (R2=50% in Europeans) accuracy. For all populations, PRS showed promise as a ‘rule out’ for elevated Lp(a) because certainty of assignment to the low-risk threshold was high (88.0%–99.9%) across PRS thresholds (80th–99th percentile). Causal effects of increased Lp(a) with increased glycated haemoglobin were estimated for Europeans (p value =1.4×10−6), although inverse effects in Africans and East Asians suggested the potential for heterogeneous causal effects. Finally, Hispanic/Latinos were the only population in which known associations with coronary atherosclerosis and ischaemic heart disease were identified in external testing of Lp(a) PRS phenotypic effects.ConclusionsOur results emphasise the merits of prioritising ancestral diversity when addressing Lp(a) evidence gaps.