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[中国人群非综合征性唇裂伴或不伴腭裂的单核苷酸多态性遗传力]

[Single nucleotide polymorphism heritability of non-syndromic cleft lip with or without cleft palate in Chinese population].

作者信息

Xue Enci, Chen Xi, Wang Xueheng, Wang Siyue, Wang Mengying, Li Jin, Qin Xueying, Wu Yiqun, Li Nan, Li Jing, Zhou Zhibo, Zhu Hongping, Wu Tao, Chen Dafang, Hu Yonghua

机构信息

Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.

Department of Oral and Maxillofacial Surgery, Peking University School of Stomatology, Beijing 100081, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2024 Oct 18;56(5):775-780. doi: 10.19723/j.issn.1671-167X.2024.05.004.

Abstract

OBJECTIVE

To delve into the intricate relationship between common genetic variations across the entire genome and the risk of non-syndromic cleft lip with or without cleft palate (NSCL/P).

METHODS

Utilizing summary statistics data from genome-wide association studies (GWAS), a thorough investigation to evaluate the impact of common variations on the genome were undertook. This involved assessing single nucleotide polymorphism (SNP) heritability across the entire genome, as well as within specific genomic regions. To ensure the robustness of our analysis, stringent quality control measures were applied to the GWAS summary statistics data. Criteria for inclusion encompassed the absence of missing values, a minor allele frequency ≥1%, -values falling within the range of 0 to 1, and clear SNP strand orientation. SNP meeting these stringent criteria were then meticulously included in our analysis. The SNP heritability of NSCL/P was calculated using linkage disequilibrium score regression. Additionally, hierarchical linkage disequilibrium score regression to partition SNP heritability within coding regions, promoters, introns, enhancers, and super enhancers were employed, and the enrichment levels within different genomic regions using LDSC (v1.0.1) software were further elucidated.

RESULTS

Our study drew upon GWAS summary statistics data obtained from 806 NSCL/P trios, comprising a total of 2 418 individuals from the Chinese population. Following rigorous quality control procedures, 490 593 out of 492 993 SNP were deemed suitable for inclusion in SNP heritability calculations. The observed SNP heritability of NSCL/P was 0.55 (95%: 0.28-0.82). Adjusting for the elevated disease pre-valence within our sample, the SNP heritability scaled down to 0.37 (95%: 0.19-0.55) based on the prevalence observed in the general Chinese population. Notably, our enrichment analysis unveiled significant enrichment of SNP heritability within enhancer regions (15.70, =0.04) and super enhancer regions (3.18, =0.03).

CONCLUSION

Our study sheds light on the intricate interplay between common genetic variations and the risk of NSCL/P in the Chinese population. By elucidating the SNP heritability landscape across different genomic regions, we contribute valuable insights into the genetic basis of NSCL/P. The significant enrichment of SNP heritability within enhancer and super enhancer regions underscores the potential role of these regulatory elements in shaping the genetic susceptibility to NSCL/P. This paves the way for further research aimed at uncovering novel genetic pathogenic factors underlying NSCL/P pathogenesis.

摘要

目的

深入探究全基因组常见基因变异与非综合征性唇裂伴或不伴腭裂(NSCL/P)风险之间的复杂关系。

方法

利用全基因组关联研究(GWAS)的汇总统计数据,对常见变异对基因组的影响进行了全面调查。这包括评估全基因组以及特定基因组区域内的单核苷酸多态性(SNP)遗传力。为确保分析的稳健性,对GWAS汇总统计数据应用了严格的质量控制措施。纳入标准包括无缺失值、次要等位基因频率≥1%、-值在0至1范围内以及明确的SNP链方向。符合这些严格标准的SNP随后被精心纳入我们的分析。使用连锁不平衡评分回归计算NSCL/P的SNP遗传力。此外,采用分层连锁不平衡评分回归来划分编码区、启动子、内含子、增强子和超级增强子内的SNP遗传力,并使用LDSC(v1.0.1)软件进一步阐明不同基因组区域内的富集水平。

结果

我们的研究借鉴了来自806个NSCL/P三联体的GWAS汇总统计数据,这些三联体共包括2418名中国人群个体。经过严格的质量控制程序后,492993个SNP中的490593个被认为适合纳入SNP遗传力计算。观察到的NSCL/P的SNP遗传力为0.55(95%:0.28 - 0.82)。根据我们样本中升高的疾病患病率进行调整后,基于中国普通人群中观察到的患病率,SNP遗传力降至0.37(95%:0.19 - 0.55)。值得注意的是,我们的富集分析揭示了增强子区域(15.70,=0.04)和超级增强子区域(3.18,=0.03)内SNP遗传力的显著富集。

结论

我们的研究揭示了中国人群中常见基因变异与NSCL/P风险之间的复杂相互作用。通过阐明不同基因组区域的SNP遗传力情况,我们为NSCL/P的遗传基础提供了有价值的见解。增强子和超级增强子区域内SNP遗传力的显著富集强调了这些调控元件在塑造NSCL/P遗传易感性方面的潜在作用。这为进一步研究揭示NSCL/P发病机制背后的新的遗传致病因素铺平了道路。

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The UCSC Genome Browser database: 2019 update.UCSC 基因组浏览器数据库:2019 年更新。
Nucleic Acids Res. 2019 Jan 8;47(D1):D853-D858. doi: 10.1093/nar/gky1095.

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