首次对非洲原住民中风进行的全基因组关联研究为缺血性中风生物学提供了新的功能性见解。

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY
Rufus O Akinyemi, Hemant K Tiwari, Vinodh Srinivasasainagendra, Onoja Akpa, Fred S Sarfo, Albert Akpalu, Kolawole Wahab, Reginald Obiako, Morenikeji Komolafe, Lukman Owolabi, Godwin O Osaigbovo, Olga A Mamaeva, Brian A Halloran, Joshua Akinyemi, Daniel Lackland, Olugbo Y Obiabo, Taofik Sunmonu, Innocent I Chukwuonye, Oyedunni Arulogun, Carolyn Jenkins, Abiodun Adeoye, Atinuke Agunloye, Okechukwu S Ogah, Godwin Ogbole, Adekunle Fakunle, Ezinne Uvere, Motunrayo M Coker, Akinkunmi Okekunle, Osahon Asowata, Samuel Diala, Mayowa Ogunronbi, Osi Adeleye, Ruth Laryea, Raelle Tagge, Sunday Adeniyi, Nathaniel Adusei, Wisdom Oguike, Paul Olowoyo, Olayinka Adebajo, Abimbola Olalere, Olayinka Oladele, Joseph Yaria, Bimbo Fawale, Philip Ibinaye, Olalekan Oyinloye, Yaw Mensah, Omotola Oladimeji, Josephine Akpalu, Benedict Calys-Tagoe, Hamisu A Dambatta, Adesola Ogunniyi, Rajesh Kalaria, Donna Arnett, Charles Rotimi, Bruce Ovbiagele, Mayowa O Owolabi
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引用次数: 0

摘要

背景:非洲血统人群是全球中风发病率最高的人群,但这些人群中风的遗传基础却不清楚。中风调查研究和教育网络(SIREN)是一项多中心研究,涉及西非的 16 个地点。我们首次对非洲原住民的中风进行了全基因组关联研究(GWAS):病例是连续招募的、同意接受神经影像学确诊为缺血性中风的成年人(年龄大于 18 岁)。无中风对照组通过当地验证的无中风状态验证问卷进行确认。使用 H3Africa 阵列进行 DNA 基因分型,并在初步质量控制后,将 GWAS 数据集归入 BioData Catalyst 的 NIH Trans-Omics for Precision Medicine (TOPMed) release2。此外,我们还进行了精细图谱绘制、跨种族荟萃分析和硅功能表征,以确定可能具有功能解释的因果变异:结果:在将基础模型中的高血压、糖尿病、血脂异常和心脏状况作为协变量进行调整后,我们观察到第 3 号染色体上 AADACL2 和 miRNA (MIR5186) 基因附近的 SNPs 存在全基因组范围的显着关联(P 值小于 5.0E-8)。5 号染色体上 miRNA (MIR4458) 基因附近的 SNPs 也与中风有关(P 值小于 1.0E-6)。AADACL2、MIR5186 和 MIR4458 基因附近的假定基因具有保护性和新颖性。2 号染色体上与中风相关的 SNPs 与最近的基因 LINC01854 相距超过 77 kb,7 号染色体上的 SNPs 与最近的基因 LINC01446 相距超过 116 kb(P 值<1.0E-6)。此外,我们还观察到 STXBP5-AS1(6 号染色体)、GALTN9(12 号染色体)、FANCA(16 号染色体)和 DLGAP1(18 号染色体)基因中的 SNPs(P 值<1.0E-6)。基因 AADACL2 和 MIR4458 附近的两个基因组区域在精细作图后仍具有显著性:我们的研究结果确定了调控miRNA、基因间非编码DNA和内含子非编码RNA在缺血性中风生物学中的潜在作用。这些发现揭示了新的分子靶点,有望帮助弥补目前在基于非洲血统的准确中风遗传风险预测和开发预防或治疗中风的新靶向干预措施方面存在的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel functional insights into ischemic stroke biology provided by the first genome-wide association study of stroke in indigenous Africans.

Background: African ancestry populations have the highest burden of stroke worldwide, yet the genetic basis of stroke in these populations is obscure. The Stroke Investigative Research and Educational Network (SIREN) is a multicenter study involving 16 sites in West Africa. We conducted the first-ever genome-wide association study (GWAS) of stroke in indigenous Africans.

Methods: Cases were consecutively recruited consenting adults (aged > 18 years) with neuroimaging-confirmed ischemic stroke. Stroke-free controls were ascertained using a locally validated Questionnaire for Verifying Stroke-Free Status. DNA genotyping with the H3Africa array was performed, and following initial quality control, GWAS datasets were imputed into the NIH Trans-Omics for Precision Medicine (TOPMed) release2 from BioData Catalyst. Furthermore, we performed fine-mapping, trans-ethnic meta-analysis, and in silico functional characterization to identify likely causal variants with a functional interpretation.

Results: We observed genome-wide significant (P-value < 5.0E-8) SNPs associations near AADACL2 and miRNA (MIR5186) genes in chromosome 3 after adjusting for hypertension, diabetes, dyslipidemia, and cardiac status in the base model as covariates. SNPs near the miRNA (MIR4458) gene in chromosome 5 were also associated with stroke (P-value < 1.0E-6). The putative genes near AADACL2, MIR5186, and MIR4458 genes were protective and novel. SNPs associations with stroke in chromosome 2 were more than 77 kb from the closest gene LINC01854 and SNPs in chromosome 7 were more than 116 kb to the closest gene LINC01446 (P-value < 1.0E-6). In addition, we observed SNPs in genes STXBP5-AS1 (chromosome 6), GALTN9 (chromosome 12), FANCA (chromosome 16), and DLGAP1 (chromosome 18) (P-value < 1.0E-6). Both genomic regions near genes AADACL2 and MIR4458 remained significant following fine mapping.

Conclusions: Our findings identify potential roles of regulatory miRNA, intergenic non-coding DNA, and intronic non-coding RNA in the biology of ischemic stroke. These findings reveal new molecular targets that promise to help close the current gaps in accurate African ancestry-based genetic stroke's risk prediction and development of new targeted interventions to prevent or treat stroke.

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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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