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表型全基因组孟德尔随机化分析血浆蛋白质组对复杂疾病的影响。

Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.

机构信息

MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.

Proteome MR writing group, .

出版信息

Nat Genet. 2020 Oct;52(10):1122-1131. doi: 10.1038/s41588-020-0682-6. Epub 2020 Sep 7.

Abstract

The human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from MR, 130 (31.5%) were not supported by results of colocalization analyses, suggesting that genetic confounding due to linkage disequilibrium is widespread in naïve phenome-wide association studies of proteins. Combining MR and colocalization evidence in cis-only analyses, we identified 111 putatively causal effects between 65 proteins and 52 disease-related phenotypes ( https://www.epigraphdb.org/pqtl/ ). Evaluation of data from historic drug development programs showed that target-indication pairs with MR and colocalization support were more likely to be approved, evidencing the value of this approach in identifying and prioritizing potential therapeutic targets.

摘要

人类蛋白质组是治疗靶点的主要来源。最近对血浆蛋白质组的遗传关联分析使我们能够系统地评估血浆蛋白水平变化的因果后果。在这里,我们使用两样本孟德尔随机化(MR)和共定位分析来估计 1002 种蛋白质对 225 种表型的影响。在 MR 证据支持的 413 种关联中,有 130 种(31.5%)不支持共定位分析的结果,这表明在蛋白质的 naive 全基因组关联研究中,由于连锁不平衡导致的遗传混杂是普遍存在的。通过 cis-only 分析结合 MR 和共定位证据,我们在 65 种蛋白质和 52 种与疾病相关的表型之间确定了 111 种可能的因果关系(https://www.epigraphdb.org/pqtl/ )。对历史药物开发项目数据的评估表明,具有 MR 和共定位支持的靶标-适应证对更有可能获得批准,这证明了这种方法在识别和优先考虑潜在治疗靶点方面的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f14/7610464/bfa9eb8d2f9d/EMS118445-f001.jpg

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