Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund and Malmö, Sweden.
Eur J Neurol. 2016 Dec;23(12):1722-1728. doi: 10.1111/ene.13086. Epub 2016 Jul 29.
Genome-wide association (GWA) studies have identified a few risk loci for ischaemic stroke, but these variants explain only a small part of the genetic contribution to the disease. Coding variants associated with amino acid substitutions or premature termination of protein synthesis could have a large effect on disease risk. We performed an exome array analysis for ischaemic stroke.
Patients with ischaemic stroke (n = 2385) and control subjects (n = 6077) from three Swedish studies were genotyped with the Illumina HumanOmniExpressExome BeadChip. Single-variant association analysis and gene-based tests were performed of exome variants with minor allele frequency of < 5%. A separate GWA analysis was also performed, based on 700 000 genotyped common markers and subsequent imputation.
No exome variant or gene was significantly associated with all ischaemic stroke after Bonferroni correction (all P > 1.8 × 10 for single-variant and >4.15 × 10 for gene-based analysis). The strongest association in single-variant analysis was found for a missense variant in the DNAH11 gene (rs143362381; P = 5.01 × 10 ). In gene-based tests, the strongest association was for the ZBTB20 gene (P = 7.9 × 10 ). The GWA analysis showed that the sample was homogenous (median genomic inflation factor = 1.006). No genome-wide significant association with overall ischaemic stroke risk was found. However, previously reported associations for the PITX2 and ZFHX3 gene loci with cardioembolic stroke subtype were replicated (P = 7 × 10 and 6 × 10 ).
This exome array analysis did not identify any single variants or genes reaching the pre-defined significance level for association with ischaemic stroke. Further studies on exome variants should be performed in even larger, well-defined and subtyped samples.
全基因组关联(GWA)研究已经确定了一些缺血性中风的风险位点,但这些变体仅解释了疾病遗传贡献的一小部分。与氨基酸替换或蛋白质合成提前终止相关的编码变体可能对疾病风险有很大影响。我们进行了缺血性中风的外显子组分析。
来自三个瑞典研究的缺血性中风患者(n = 2385)和对照受试者(n = 6077)使用 Illumina HumanOmniExpressExome BeadChip 进行基因分型。对频率小于 5%的外显子变体进行了单变体关联分析和基于基因的检验。还进行了基于 700000 个已分型常见标记物和随后的内插的单独 GWA 分析。
在 Bonferroni 校正后,没有外显子变体或基因与所有缺血性中风显著相关(单变体分析的所有 P > 1.8×10,基于基因的分析的所有 P > 4.15×10)。单变体分析中最强的关联是 DNAH11 基因中的错义变体(rs143362381;P = 5.01×10)。基于基因的检验中最强的关联是 ZBTB20 基因(P = 7.9×10)。GWA 分析表明,该样本是同质的(中位数基因组膨胀因子= 1.006)。未发现与总体缺血性中风风险的全基因组显著关联。然而,先前报道的 PITX2 和 ZFHX3 基因座与心源性脑栓塞亚型的关联得到了复制(P = 7×10 和 6×10)。
这项外显子组分析没有发现任何与缺血性中风相关的单一变体或基因达到预先定义的关联显著性水平。应该在更大、定义更明确和亚型更明确的样本中进一步研究外显子变体。