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空间约束基因调控确定了子痫前期、高血压和蛋白尿的关键遗传贡献。

Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria†.

机构信息

Liggins Institute, The University of Auckland, Auckland, New Zealand.

The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.

出版信息

Biol Reprod. 2023 Apr 11;108(4):659-670. doi: 10.1093/biolre/ioad016.

Abstract

Preeclampsia (PE) is a relatively common but severe pregnancy disorder (with very limited effective treatments) characterized by hypertension (HTN) and usually proteinuria (PRO) or other organ damage. Genome-wide association studies (GWAS) of PE, HTN, and PRO have mostly identified risk loci single nucleotide polymorphisms (SNPs) located in noncoding genomic regions, likely impacting the regulation of distal gene expression. The latest GWAS associated (P < 1 × 10-6) SNPs to PE (n = 25), HTN (n = 1926), and PRO (n = 170). Our algorithmic analysis (CoDeS3D) used chromatin connection data (Hi-C) derived from 70 cell lines followed by analysis of two expression quantitative trail loci (eQTL) cohorts: GTEx (838 donors, 54 tissues, totaling 15 253 samples) and DICE (91 donors, 13 blood tissue types). We identified spatially constrained eQTLs which implicate gene targets in PE (n = 16), HTN (n = 3561), and PRO (n = 335). By overlapping these target genes and their molecular pathways (protein-protein interaction networks), we identified shared functional impacts between PE and HTN, which are significantly enriched for regulatory interactions which target genes intolerant to loss-of-function mutations. While the disease-associated SNP loci mostly do not overlap, the regulatory signals (target genes and pathways) overlap, informing on PE risk mechanisms. This demonstrates a model in which genetic predisposition to HTN and PRO lays a molecular groundwork toward risk for PE pathogenesis. This overlap at the gene regulatory network level identifies possible shared therapeutic targets for future study.

摘要

子痫前期 (PE) 是一种相对常见但严重的妊娠疾病(治疗方法非常有限),其特征是高血压 (HTN) 和通常的蛋白尿 (PRO) 或其他器官损伤。PE、HTN 和 PRO 的全基因组关联研究 (GWAS) 主要鉴定了位于非编码基因组区域的风险位点单核苷酸多态性 (SNP),这些 SNP 可能影响远端基因表达的调控。最新的 GWAS 将与 PE(n=25)、HTN(n=1926)和 PRO(n=170)相关联的 SNP(P<1×10-6)进行了关联。我们的算法分析 (CoDeS3D) 使用了源自 70 种细胞系的染色质连接数据 (Hi-C),然后分析了两个表达数量性状基因座 (eQTL) 队列:GTEx(838 个供体,54 种组织,共 15253 个样本)和 DICE(91 个供体,13 种血液组织类型)。我们鉴定了空间约束性 eQTL,这些 eQTL 暗示了与 PE(n=16)、HTN(n=3561)和 PRO(n=335)相关的基因靶点。通过重叠这些靶基因及其分子途径(蛋白质-蛋白质相互作用网络),我们鉴定了 PE 和 HTN 之间存在共享的功能影响,这些影响显著富集了针对不能耐受功能丧失突变的基因的调节相互作用。虽然疾病相关的 SNP 位点大多不重叠,但调节信号(靶基因和途径)重叠,提示了 PE 风险机制的信息。这证明了一个模型,即 HTN 和 PRO 的遗传易感性为 PE 发病机制的风险奠定了分子基础。这种基因调控网络水平的重叠确定了未来研究可能的共同治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea0/10106839/2cacc0c8f350/ioad016ga1.jpg

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