Cargando…

Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries

Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetics of ischemic stroke (60...

Descripción completa

Detalles Bibliográficos
Autores principales: Surakka, Ida, Wu, Kuan-Han, Hornsby, Whitney, Wolford, Brooke N., Shen, Fred, Zhou, Wei, Huffman, Jennifer E., Pandit, Anita, Hu, Yao, Brumpton, Ben, Skogholt, Anne Heidi, Gabrielsen, Maiken E., Walters, Robin G., Hveem, Kristian, Kooperberg, Charles, Zöllner, Sebastian, Wilson, Peter W.F., Sutton, Nadia R., Daly, Mark J., Neale, Benjamin M., Willer, Cristen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435368/
https://www.ncbi.nlm.nih.gov/pubmed/37601974
http://dx.doi.org/10.1016/j.xgen.2023.100345
_version_ 1785092079734489088
author Surakka, Ida
Wu, Kuan-Han
Hornsby, Whitney
Wolford, Brooke N.
Shen, Fred
Zhou, Wei
Huffman, Jennifer E.
Pandit, Anita
Hu, Yao
Brumpton, Ben
Skogholt, Anne Heidi
Gabrielsen, Maiken E.
Walters, Robin G.
Hveem, Kristian
Kooperberg, Charles
Zöllner, Sebastian
Wilson, Peter W.F.
Sutton, Nadia R.
Daly, Mark J.
Neale, Benjamin M.
Willer, Cristen J.
author_facet Surakka, Ida
Wu, Kuan-Han
Hornsby, Whitney
Wolford, Brooke N.
Shen, Fred
Zhou, Wei
Huffman, Jennifer E.
Pandit, Anita
Hu, Yao
Brumpton, Ben
Skogholt, Anne Heidi
Gabrielsen, Maiken E.
Walters, Robin G.
Hveem, Kristian
Kooperberg, Charles
Zöllner, Sebastian
Wilson, Peter W.F.
Sutton, Nadia R.
Daly, Mark J.
Neale, Benjamin M.
Willer, Cristen J.
author_sort Surakka, Ida
collection PubMed
description Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetics of ischemic stroke (60,176 cases, 1,310,725 controls) as part of the Global Biobank Meta-analysis Initiative (GBMI) and further combined the results with previously published MegaStroke. Five novel loci for ischemic stroke (LAMC1, CALCRL, PLSCR1, CDKN1A, and SWAP70) were identified after replication in four additional datasets. One previously reported locus showed significant ancestry heterogeneity (ABO), and one showed significant sex heterogeneity (ALDH2). The ALDH2 association was male specific (males p = 1.67e−24, females p = 0.126) and was additionally observed only in the East Asian ancestry (male) samples. These findings emphasize the need for more diverse datasets with large sample sizes to further understand the genetic predisposition of stroke in different ancestry and sex groups.
format Online
Article
Text
id pubmed-10435368
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-104353682023-08-19 Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries Surakka, Ida Wu, Kuan-Han Hornsby, Whitney Wolford, Brooke N. Shen, Fred Zhou, Wei Huffman, Jennifer E. Pandit, Anita Hu, Yao Brumpton, Ben Skogholt, Anne Heidi Gabrielsen, Maiken E. Walters, Robin G. Hveem, Kristian Kooperberg, Charles Zöllner, Sebastian Wilson, Peter W.F. Sutton, Nadia R. Daly, Mark J. Neale, Benjamin M. Willer, Cristen J. Cell Genom Article Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetics of ischemic stroke (60,176 cases, 1,310,725 controls) as part of the Global Biobank Meta-analysis Initiative (GBMI) and further combined the results with previously published MegaStroke. Five novel loci for ischemic stroke (LAMC1, CALCRL, PLSCR1, CDKN1A, and SWAP70) were identified after replication in four additional datasets. One previously reported locus showed significant ancestry heterogeneity (ABO), and one showed significant sex heterogeneity (ALDH2). The ALDH2 association was male specific (males p = 1.67e−24, females p = 0.126) and was additionally observed only in the East Asian ancestry (male) samples. These findings emphasize the need for more diverse datasets with large sample sizes to further understand the genetic predisposition of stroke in different ancestry and sex groups. Elsevier 2023-06-19 /pmc/articles/PMC10435368/ /pubmed/37601974 http://dx.doi.org/10.1016/j.xgen.2023.100345 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Surakka, Ida
Wu, Kuan-Han
Hornsby, Whitney
Wolford, Brooke N.
Shen, Fred
Zhou, Wei
Huffman, Jennifer E.
Pandit, Anita
Hu, Yao
Brumpton, Ben
Skogholt, Anne Heidi
Gabrielsen, Maiken E.
Walters, Robin G.
Hveem, Kristian
Kooperberg, Charles
Zöllner, Sebastian
Wilson, Peter W.F.
Sutton, Nadia R.
Daly, Mark J.
Neale, Benjamin M.
Willer, Cristen J.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
title Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
title_full Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
title_fullStr Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
title_full_unstemmed Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
title_short Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
title_sort multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435368/
https://www.ncbi.nlm.nih.gov/pubmed/37601974
http://dx.doi.org/10.1016/j.xgen.2023.100345
work_keys_str_mv AT surakkaida multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT wukuanhan multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT hornsbywhitney multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT wolfordbrooken multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT shenfred multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT zhouwei multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT huffmanjennifere multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT panditanita multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT huyao multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT brumptonben multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT skogholtanneheidi multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT gabrielsenmaikene multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT waltersrobing multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT hveemkristian multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT kooperbergcharles multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT zollnersebastian multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT wilsonpeterwf multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT suttonnadiar multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT dalymarkj multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT nealebenjaminm multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT willercristenj multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries
AT multiancestrymetaanalysisidentifies5novellociforischemicstrokeandrevealsheterogeneityofeffectsbetweensexesandancestries