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

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 archite...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471864/
https://www.ncbi.nlm.nih.gov/pubmed/37648373
http://dx.doi.org/10.1136/openhrt-2023-002382
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author 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
author_facet 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
author_sort Lee, Moa P
collection PubMed
description 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.
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spelling pubmed-104718642023-09-02 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 Open Heart Cardiac Risk Factors and Prevention 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. BMJ Publishing Group 2023-08-30 /pmc/articles/PMC10471864/ /pubmed/37648373 http://dx.doi.org/10.1136/openhrt-2023-002382 Text en © 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. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Cardiac Risk Factors and Prevention
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
Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
title Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
title_full Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
title_fullStr Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
title_full_unstemmed Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
title_short Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
title_sort ancestral diversity in lipoprotein(a) studies helps address evidence gaps
topic Cardiac Risk Factors and Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471864/
https://www.ncbi.nlm.nih.gov/pubmed/37648373
http://dx.doi.org/10.1136/openhrt-2023-002382
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