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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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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. |
format | Online Article Text |
id | pubmed-10471864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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