| Title: |
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries |
| Authors: |
Surakka, I; Wu, K-H; Hornsby, W; Wolford, BN; Shen, F; Zhou, W; Huffman, JE; Pandit, A; Hu, Y; Brumpton, B; Skogholt, AH; Gabrielsen, ME; Walters, RG; Hveem, K; Kooperberg, C; Zöllner, S; Wilson, PWF; Sutton, NR; Daly, MJ; Neale, BM; Willer, CJ |
| Publisher Information: |
Cell Press |
| Publication Year: |
2023 |
| Collection: |
Oxford University Research Archive (ORA) |
| 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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://doi.org/10.1016/j.xgen.2023.100345 |
| DOI: |
10.1016/j.xgen.2023.100345 |
| Availability: |
https://doi.org/10.1016/j.xgen.2023.100345; https://ora.ox.ac.uk/objects/uuid:807da6c9-48af-4672-a152-9d3f3061a601 |
| Rights: |
info:eu-repo/semantics/openAccess ; CC Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) |
| Accession Number: |
edsbas.CD3A4A53 |
| Database: |
BASE |