Suppr超能文献

巴基斯坦人群的遗传研究揭示了与室间隔缺损(VSD)相关的新关联。

Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs).

机构信息

Institute of Microbiology and Molecular Genetics, University of the Punjab, 54590, Lahore, Pakistan.

出版信息

BMC Pediatr. 2023 Feb 9;23(1):67. doi: 10.1186/s12887-023-03851-3.

Abstract

BACKGROUND

With prevalence up to 4%, Ventricular Septal Defect (VSD) is one of the leading causes of neonatal deaths. VSD is a common complex genetic disorder that has been associated with many genetic determinants. Variants from genes for the transcription factors including T-Box TBX5 and NFATc1 (nuclear factor of activated T cells, cytoplasmic 1), Vascular endothelial growth factor (VEGF), ISLET1 (encoded by the ISL1 gene) and enzyme MTHFR, a methylene tetrahydrofolate reductase were selected. Genetic risk score (GRS) is a widely accepted approach used to convert the genetic data into prediction and assessment tool for disease susceptibility.

METHODS

A total of 200 participants were recruited for the current study, 100 VSD patients and 100 controls. Genotyping of the ISL1: rs1017, NFATc1: rs7240256, VEGF: rs36208048, TBX5: rs11067075, and MTHFR: rs1801133 variants was performed using tetra primer ARMS PCR and PCR-RFLP. For the statistical analysis, the software SPSS version 23 was used. Genotypic frequencies of cases and controls were calculated using chi-square (χ²) whereas allelic frequencies were calculated by using the SNPStats tool. The association of GRS quartiles with VSD was examined using binary logistic regression. Adjusted p-value 0.01 was used as significance threshold for all analyses.

RESULTS

The ISL1 (OD: 0.242, CI: 0.158-0.37, p-value: 2.15 × 10 :), NFATc1 (OD: 2.53, CI: 1.64-3.89, p-value: 2.11 × 10), TBX5 (OD: 2.24, CI: 1.47-3.41, p-value:1.6 × 10) and MTHFR (OD: 10.46, CI: 5.68-19.26, p-value: 2.09 × 10:) variants were found to be in association with VSD. In contrast, the VEGF (OD: 0.952, CI: 0.56-1.62, p-value: 0.8921) variant did not show significance association with the VSD. For cases, the mean GRS score was 3.78 ± 1.285 while in controls it was 2.95 ± 1.290 (p-value: 0.479, CI: 0.474-1.190). Comparison of GRS between cases and control showed that mean GRS of cases was 1.90 ± 0.480 while in controls it was 1.68 ± 0.490 (p-value: 0.001, CI: 0.086-0.354). Higher quartiles were more prevalent in cases whereas lower quartiles were more prevalent in controls.

CONCLUSION

GRS of these five loci was strongly associated with VSD. Moreover, genetic risk score can provide better information for the association between variants and disease as compared to a single SNP. We also illustrated that the cumulative power of GRS is greater over the single SNP effect. This is a pilot scale study with a relatively small sample size whose findings should be replicated in a larger sample size for the unique local Pakistani population.

摘要

背景

室间隔缺损(VSD)的患病率高达 4%,是导致新生儿死亡的主要原因之一。VSD 是一种常见的复杂遗传性疾病,与许多遗传决定因素有关。选择了包括 T 盒转录因子 TBX5 和 NFATc1(核因子活化 T 细胞,细胞质 1)、血管内皮生长因子(VEGF)、ISLET1(由 ISL1 基因编码)和酶 MTHFR 在内的转录因子基因的变体。遗传风险评分(GRS)是一种广泛接受的方法,用于将遗传数据转化为疾病易感性的预测和评估工具。

方法

本研究共招募了 200 名参与者,100 名 VSD 患者和 100 名对照。使用四引物 ARMS PCR 和 PCR-RFLP 对 ISL1:rs1017、NFATc1:rs7240256、VEGF:rs36208048、TBX5:rs11067075 和 MTHFR:rs1801133 变体进行基因分型。使用 SPSS 版本 23 软件进行统计分析。使用卡方(χ²)计算病例和对照组的基因型频率,使用 SNPStats 工具计算等位基因频率。使用二元逻辑回归检查 GRS 四分位数与 VSD 的关联。所有分析均使用调整后的 p 值 0.01 作为显著性阈值。

结果

ISL1(OD:0.242,CI:0.158-0.37,p 值:2.15×10-6)、NFATc1(OD:2.53,CI:1.64-3.89,p 值:2.11×10-6)、TBX5(OD:2.24,CI:1.47-3.41,p 值:1.6×10-6)和 MTHFR(OD:10.46,CI:5.68-19.26,p 值:2.09×10-6)变体与 VSD 相关。相比之下,VEGF(OD:0.952,CI:0.56-1.62,p 值:0.8921)变体与 VSD 无显著关联。对于病例,平均 GRS 评分 3.78±1.285,而在对照组中为 2.95±1.290(p 值:0.479,CI:0.474-1.190)。病例与对照组之间的 GRS 比较显示,病例的平均 GRS 为 1.90±0.480,而对照组为 1.68±0.490(p 值:0.001,CI:0.086-0.354)。较高的四分位数在病例中更为普遍,而较低的四分位数在对照组中更为普遍。

结论

这五个基因座的 GRS 与 VSD 密切相关。此外,与单个 SNP 相比,遗传风险评分可以为变体与疾病之间的关联提供更好的信息。我们还表明,GRS 的累积功率大于单个 SNP 的效应。这是一项具有相对较小样本量的试点规模研究,其发现应在更大的特定巴基斯坦人群样本中进行复制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/985e/9909889/c11ea6d2d307/12887_2023_3851_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验