Ancestral diversity in lipoprotein(a) studies helps address evidence gaps. Lee, M. P, Dimos, S. F, Raffield, L. M, Wang, Z., Ballou, A. F, Downie, C. G, Arehart, C. H, Correa, A., de Vries, P. S, Du, Z., Gignoux, C. R, Gordon-Larsen, P., Guo, X., Haessler, J., Howard, A. G., Hu, Y., Kassahun, H., Kent, S. T, Lopez, J A. G, Monda, K. L, North, K. E, Peters, U., Preuss, M. H, Rich, S. S, Rhodes, S. L, Yao, J., Yarosh, R., Tsai, M. Y, Rotter, J. I, Kooperberg, C. L, Loos, R. J F, Ballantyne, C., Avery, C. L, & Graff, M. Open Heart, August, 2023.
Paper abstract bibtex 5 downloads 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 (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. CONCLUSIONS: Our results emphasise the merits of prioritising ancestral diversity when addressing Lp(a) evidence gaps.
@ARTICLE{Lee2023-cf,
title = "Ancestral diversity in lipoprotein(a) studies helps address
evidence gaps",
author = "Lee, Moa P and Dimos, Sofia F and Raffield, Laura M and Wang, Zhe
and Ballou, Anna F and Downie, Carolina G and Arehart,
Christopher H and Correa, Adolfo and de Vries, Paul S and Du,
Zhaohui and Gignoux, Christopher R and Gordon-Larsen, Penny and
Guo, Xiuqing and Haessler, Jeffrey and Howard, Annie Green and
Hu, Yao and Kassahun, Helina and Kent, Shia T and Lopez, J
Antonio G and Monda, Keri L and North, Kari E and Peters, Ulrike
and Preuss, Michael H and Rich, Stephen S and Rhodes, Shannon L
and Yao, Jie and Yarosh, Rina and Tsai, Michael Y and Rotter,
Jerome I and Kooperberg, Charles L and Loos, Ruth J F and
Ballantyne, Christie and Avery, Christy L and Graff, Mariaelisa",
abstract = "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 (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$\times$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.",
journal = "Open Heart",
volume = 10,
number = 2,
month = aug,
year = 2023,
keywords = "biomarkers; epidemiology; genetic association studies;
genome-wide association study",
language = "en",
pmid = {37648373},
url = {https://pubmed.ncbi.nlm.nih.gov/37648373/},
bdsk-url-1 = {https://doi.org/10.1136/openhrt-2023-002382}
}
% The entry below contains non-ASCII chars that could not be converted
% to a LaTeX equivalent.
Downloads: 5
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L","Graff, M."],"bibdata":{"bibtype":"article","type":"article","title":"Ancestral diversity in lipoprotein(a) studies helps address evidence gaps","author":[{"propositions":[],"lastnames":["Lee"],"firstnames":["Moa","P"],"suffixes":[]},{"propositions":[],"lastnames":["Dimos"],"firstnames":["Sofia","F"],"suffixes":[]},{"propositions":[],"lastnames":["Raffield"],"firstnames":["Laura","M"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Zhe"],"suffixes":[]},{"propositions":[],"lastnames":["Ballou"],"firstnames":["Anna","F"],"suffixes":[]},{"propositions":[],"lastnames":["Downie"],"firstnames":["Carolina","G"],"suffixes":[]},{"propositions":[],"lastnames":["Arehart"],"firstnames":["Christopher","H"],"suffixes":[]},{"propositions":[],"lastnames":["Correa"],"firstnames":["Adolfo"],"suffixes":[]},{"propositions":["de"],"lastnames":["Vries"],"firstnames":["Paul","S"],"suffixes":[]},{"propositions":[],"lastnames":["Du"],"firstnames":["Zhaohui"],"suffixes":[]},{"propositions":[],"lastnames":["Gignoux"],"firstnames":["Christopher","R"],"suffixes":[]},{"propositions":[],"lastnames":["Gordon-Larsen"],"firstnames":["Penny"],"suffixes":[]},{"propositions":[],"lastnames":["Guo"],"firstnames":["Xiuqing"],"suffixes":[]},{"propositions":[],"lastnames":["Haessler"],"firstnames":["Jeffrey"],"suffixes":[]},{"propositions":[],"lastnames":["Howard"],"firstnames":["Annie","Green"],"suffixes":[]},{"propositions":[],"lastnames":["Hu"],"firstnames":["Yao"],"suffixes":[]},{"propositions":[],"lastnames":["Kassahun"],"firstnames":["Helina"],"suffixes":[]},{"propositions":[],"lastnames":["Kent"],"firstnames":["Shia","T"],"suffixes":[]},{"propositions":[],"lastnames":["Lopez"],"firstnames":["J","Antonio","G"],"suffixes":[]},{"propositions":[],"lastnames":["Monda"],"firstnames":["Keri","L"],"suffixes":[]},{"propositions":[],"lastnames":["North"],"firstnames":["Kari","E"],"suffixes":[]},{"propositions":[],"lastnames":["Peters"],"firstnames":["Ulrike"],"suffixes":[]},{"propositions":[],"lastnames":["Preuss"],"firstnames":["Michael","H"],"suffixes":[]},{"propositions":[],"lastnames":["Rich"],"firstnames":["Stephen","S"],"suffixes":[]},{"propositions":[],"lastnames":["Rhodes"],"firstnames":["Shannon","L"],"suffixes":[]},{"propositions":[],"lastnames":["Yao"],"firstnames":["Jie"],"suffixes":[]},{"propositions":[],"lastnames":["Yarosh"],"firstnames":["Rina"],"suffixes":[]},{"propositions":[],"lastnames":["Tsai"],"firstnames":["Michael","Y"],"suffixes":[]},{"propositions":[],"lastnames":["Rotter"],"firstnames":["Jerome","I"],"suffixes":[]},{"propositions":[],"lastnames":["Kooperberg"],"firstnames":["Charles","L"],"suffixes":[]},{"propositions":[],"lastnames":["Loos"],"firstnames":["Ruth","J","F"],"suffixes":[]},{"propositions":[],"lastnames":["Ballantyne"],"firstnames":["Christie"],"suffixes":[]},{"propositions":[],"lastnames":["Avery"],"firstnames":["Christy","L"],"suffixes":[]},{"propositions":[],"lastnames":["Graff"],"firstnames":["Mariaelisa"],"suffixes":[]}],"abstract":"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 (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. CONCLUSIONS: Our results emphasise the merits of prioritising ancestral diversity when addressing Lp(a) evidence gaps.","journal":"Open Heart","volume":"10","number":"2","month":"August","year":"2023","keywords":"biomarkers; epidemiology; genetic association studies; genome-wide association study","language":"en","pmid":"37648373","url":"https://pubmed.ncbi.nlm.nih.gov/37648373/","bdsk-url-1":"https://doi.org/10.1136/openhrt-2023-002382","bibtex":"@ARTICLE{Lee2023-cf,\n title = \"Ancestral diversity in lipoprotein(a) studies helps address\n evidence gaps\",\n author = \"Lee, Moa P and Dimos, Sofia F and Raffield, Laura M and Wang, Zhe\n and Ballou, Anna F and Downie, Carolina G and Arehart,\n Christopher H and Correa, Adolfo and de Vries, Paul S and Du,\n Zhaohui and Gignoux, Christopher R and Gordon-Larsen, Penny and\n Guo, Xiuqing and Haessler, Jeffrey and Howard, Annie Green and\n Hu, Yao and Kassahun, Helina and Kent, Shia T and Lopez, J\n Antonio G and Monda, Keri L and North, Kari E and Peters, Ulrike\n and Preuss, Michael H and Rich, Stephen S and Rhodes, Shannon L\n and Yao, Jie and Yarosh, Rina and Tsai, Michael Y and Rotter,\n Jerome I and Kooperberg, Charles L and Loos, Ruth J F and\n Ballantyne, Christie and Avery, Christy L and Graff, Mariaelisa\",\n abstract = \"INTRODUCTION: The independent and causal cardiovascular disease\n risk factor lipoprotein(a) (Lp(a)) is elevated in >1.5 billion\n individuals worldwide, but studies have prioritised European\n populations. METHODS: Here, we examined how ancestrally diverse\n studies could clarify Lp(a)'s genetic architecture, inform\n efforts examining application of Lp(a) polygenic risk scores\n (PRS), enable causal inference and identify unexpected Lp(a)\n phenotypic effects using data from African (n=25 208), East Asian\n (n=2895), European (n=362 558), South Asian (n=8192) and\n Hispanic/Latino (n=8946) populations. RESULTS: Fourteen\n genome-wide significant loci with numerous population specific\n signals of large effect were identified that enabled construction\n of Lp(a) PRS of moderate (R2=15\\% in East Asians) to high\n (R2=50\\% in Europeans) accuracy. For all populations, PRS showed\n promise as a 'rule out' for elevated Lp(a) because certainty of\n assignment to the low-risk threshold was high (88.0\\%-99.9\\%)\n across PRS thresholds (80th-99th percentile). Causal effects of\n increased Lp(a) with increased glycated haemoglobin were\n estimated for Europeans (p value =1.4$\\times$10-6), although\n inverse effects in Africans and East Asians suggested the\n potential for heterogeneous causal effects. Finally,\n Hispanic/Latinos were the only population in which known\n associations with coronary atherosclerosis and ischaemic heart\n disease were identified in external testing of Lp(a) PRS\n phenotypic effects. CONCLUSIONS: Our results emphasise the merits\n of prioritising ancestral diversity when addressing Lp(a)\n evidence gaps.\",\n journal = \"Open Heart\",\n volume = 10,\n number = 2,\n month = aug,\n year = 2023,\n keywords = \"biomarkers; epidemiology; genetic association studies;\n genome-wide association study\",\n language = \"en\",\n pmid = {37648373},\n\turl = {https://pubmed.ncbi.nlm.nih.gov/37648373/},\n bdsk-url-1 = {https://doi.org/10.1136/openhrt-2023-002382}\n}\n\n% The entry below contains non-ASCII chars that could not be converted\n% to a LaTeX equivalent.\n","author_short":["Lee, M. P","Dimos, S. F","Raffield, L. M","Wang, Z.","Ballou, A. F","Downie, C. G","Arehart, C. H","Correa, A.","de Vries, P. S","Du, Z.","Gignoux, C. R","Gordon-Larsen, P.","Guo, X.","Haessler, J.","Howard, A. G.","Hu, Y.","Kassahun, H.","Kent, S. T","Lopez, J A. G","Monda, K. L","North, K. E","Peters, U.","Preuss, M. H","Rich, S. S","Rhodes, S. L","Yao, J.","Yarosh, R.","Tsai, M. Y","Rotter, J. 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