Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
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Ancestral diversity in lipoprotein(a) studies helps address evidence gaps. / 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.
In: Open Heart, Vol. 10, No. 2, e002382, 2023.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
AU - Lee, Moa P.
AU - Dimos, Sofia F.
AU - Raffield, Laura M.
AU - Wang, Zhe
AU - Ballou, Anna F.
AU - Downie, Carolina G.
AU - Arehart, Christopher H.
AU - Correa, Adolfo
AU - De Vries, Paul S.
AU - Du, Zhaohui
AU - Gignoux, Christopher R.
AU - Gordon-Larsen, Penny
AU - Guo, Xiuqing
AU - Haessler, Jeffrey
AU - Howard, Annie Green
AU - Hu, Yao
AU - Kassahun, Helina
AU - Kent, Shia T.
AU - Lopez, J. Antonio G.
AU - Monda, Keri L.
AU - North, Kari E.
AU - Peters, Ulrike
AU - Preuss, Michael H.
AU - Rich, Stephen S.
AU - Rhodes, Shannon L.
AU - Yao, Jie
AU - Yarosh, Rina
AU - Tsai, Michael Y.
AU - Rotter, Jerome I.
AU - Kooperberg, Charles L.
AU - Loos, Ruth J.F.
AU - Ballantyne, Christie
AU - Avery, Christy L.
AU - Graff, Mariaelisa
N1 - Publisher Copyright: © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023
Y1 - 2023
N2 - Introduction The 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. Methods Here, 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. Results Fourteen genome-wide significant loci with numerous population specific signals of large effect were identified that enabled construction of Lp(a) PRS of moderate (R 2 =15% in East Asians) to high (R 2 =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. Conclusions Our results emphasise the merits of prioritising ancestral diversity when addressing Lp(a) evidence gaps.
AB - Introduction The 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. Methods Here, 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. Results Fourteen genome-wide significant loci with numerous population specific signals of large effect were identified that enabled construction of Lp(a) PRS of moderate (R 2 =15% in East Asians) to high (R 2 =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. Conclusions Our results emphasise the merits of prioritising ancestral diversity when addressing Lp(a) evidence gaps.
KW - biomarkers
KW - epidemiology
KW - genetic association studies
KW - genome-wide association study
U2 - 10.1136/openhrt-2023-002382
DO - 10.1136/openhrt-2023-002382
M3 - Journal article
C2 - 37648373
AN - SCOPUS:85170665617
VL - 10
JO - Open Heart
JF - Open Heart
SN - 2398-595X
IS - 2
M1 - e002382
ER -
ID: 367907621