• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基因-表型关联的文本挖掘揭示了自闭症相关基因的新表型特征。

Text mining of gene-phenotype associations reveals new phenotypic profiles of autism-associated genes.

机构信息

Department of Informatics, University of Edinburgh, Edinburgh, EH8 9AB, UK.

Department of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.

出版信息

Sci Rep. 2021 Jul 27;11(1):15269. doi: 10.1038/s41598-021-94742-z.

DOI:10.1038/s41598-021-94742-z
PMID:34315992
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8316556/
Abstract

Autism is a spectrum disorder with wide variation in type and severity of symptoms. Understanding gene-phenotype associations is vital to unravel the disease mechanisms and advance its diagnosis and treatment. To date, several databases have stored a large portion of gene-phenotype associations which are mainly obtained from genetic experiments. However, a large proportion of gene-phenotype associations are still buried in the autism-related literature and there are limited resources to investigate autism-associated gene-phenotype associations. Given the abundance of the autism-related literature, we were thus motivated to develop Autism_genepheno, a text mining pipeline to identify sentence-level mentions of autism-associated genes and phenotypes in literature through natural language processing methods. We have generated a comprehensive database of gene-phenotype associations in the last five years' autism-related literature that can be easily updated as new literature becomes available. We have evaluated our pipeline through several different approaches, and we are able to rank and select top autism-associated genes through their unique and wide spectrum of phenotypic profiles, which could provide a unique resource for the diagnosis and treatment of autism. The data resources and the Autism_genpheno pipeline are available at: https://github.com/maiziezhoulab/Autism_genepheno .

摘要

自闭症是一种谱系障碍,其症状的类型和严重程度差异很大。了解基因-表型的关联对于揭示疾病机制、推进其诊断和治疗至关重要。迄今为止,已有几个数据库存储了大量的基因-表型关联,这些关联主要是从遗传实验中获得的。然而,很大一部分基因-表型关联仍然埋藏在自闭症相关文献中,用于研究自闭症相关基因-表型关联的资源有限。鉴于自闭症相关文献的丰富性,我们因此开发了 Autism_genepheno,这是一个文本挖掘管道,通过自然语言处理方法从文献中识别与自闭症相关的基因和表型的句子级提及。我们已经生成了过去五年自闭症相关文献中基因-表型关联的综合数据库,随着新文献的出现,该数据库可以轻松更新。我们通过几种不同的方法评估了我们的管道,我们能够通过它们独特且广泛的表型特征对自闭症相关基因进行排名和选择,这可能为自闭症的诊断和治疗提供独特的资源。数据资源和 Autism_genpheno 管道可在:https://github.com/maiziezhoulab/Autism_genepheno 获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/1f27ad1578e1/41598_2021_94742_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/ea2b2aefa919/41598_2021_94742_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/0626afe34bff/41598_2021_94742_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/d9c36c149f6b/41598_2021_94742_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/135ac2b1a0ff/41598_2021_94742_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/1f27ad1578e1/41598_2021_94742_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/ea2b2aefa919/41598_2021_94742_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/0626afe34bff/41598_2021_94742_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/d9c36c149f6b/41598_2021_94742_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/135ac2b1a0ff/41598_2021_94742_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/8316556/1f27ad1578e1/41598_2021_94742_Fig5_HTML.jpg

相似文献

1
Text mining of gene-phenotype associations reveals new phenotypic profiles of autism-associated genes.基因-表型关联的文本挖掘揭示了自闭症相关基因的新表型特征。
Sci Rep. 2021 Jul 27;11(1):15269. doi: 10.1038/s41598-021-94742-z.
2
Ontology based text mining of gene-phenotype associations: application to candidate gene prediction.基于本体论的基因-表型关联的文本挖掘:在候选基因预测中的应用。
Database (Oxford). 2019 Jan 1;2019. doi: 10.1093/database/baz019.
3
Heritable genotype contrast mining reveals novel gene associations specific to autism subgroups.遗传性基因型对比挖掘揭示了特定于自闭症亚组的新基因关联。
J Biomed Inform. 2018 Jan;77:50-61. doi: 10.1016/j.jbi.2017.11.016. Epub 2017 Nov 29.
4
Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.从电子病历中识别神经精神障碍的表型特征。
J Am Med Inform Assoc. 2013 Dec;20(e2):e297-305. doi: 10.1136/amiajnl-2013-001933. Epub 2013 Aug 16.
5
Assessment of curated phenotype mining in neuropsychiatric disorder literature.神经精神疾病文献中经过整理的表型挖掘评估。
Methods. 2015 Mar;74:90-6. doi: 10.1016/j.ymeth.2014.11.022. Epub 2014 Dec 5.
6
A random set scoring model for prioritization of disease candidate genes using protein complexes and data-mining of GeneRIF, OMIM and PubMed records.一种用于利用蛋白质复合物以及对基因功能信息(GeneRIF)、在线人类孟德尔遗传(OMIM)和医学期刊数据库(PubMed)记录进行数据挖掘来对疾病候选基因进行优先级排序的随机集评分模型。
BMC Bioinformatics. 2014 Sep 24;15(1):315. doi: 10.1186/1471-2105-15-315.
7
FunVar: A systematic pipeline to unravel the convergence patterns of genetic variants in ASD, a paradigmatic complex disease.FunVar:一个系统的管道,用于揭示 ASD 中遗传变异的趋同模式,ASD 是一种典型的复杂疾病。
J Biomed Inform. 2019 Oct;98:103273. doi: 10.1016/j.jbi.2019.103273. Epub 2019 Aug 24.
8
Multiplex gene and phenotype network to characterize shared genetic pathways of epilepsy and autism.多基因和表型网络分析癫痫和自闭症的共享遗传途径。
Sci Rep. 2021 Jan 13;11(1):952. doi: 10.1038/s41598-020-78654-y.
9
Linking common human diseases to their phenotypes; development of a resource for human phenomics.将常见人类疾病与其表型相联系;开发人类表型组学资源。
J Biomed Semantics. 2021 Aug 23;12(1):17. doi: 10.1186/s13326-021-00249-x.
10
PGxMine: Text mining for curation of PharmGKB.PGxMine:用于 PharmGKB 策管的文本挖掘。
Pac Symp Biocomput. 2020;25:611-622.

引用本文的文献

1
Twenty-first century mouse genetics is again at an inflection point.21世纪的小鼠遗传学再次处于一个转折点。
Lab Anim (NY). 2025 Jan;54(1):9-15. doi: 10.1038/s41684-024-01491-3. Epub 2024 Nov 26.
2
Creation and evaluation of full-text literature-derived, feature-weighted disease models of genetically determined developmental disorders.基于文献的全文本生成、特征加权的遗传性发育障碍疾病模型的建立与评估。
Database (Oxford). 2022 Jun 7;2022. doi: 10.1093/database/baac038.

本文引用的文献

1
A Bayesian factorization method to recover single-cell RNA sequencing data.一种贝叶斯因子分解方法,用于恢复单细胞 RNA 测序数据。
Cell Rep Methods. 2021 Dec 20;2(1):100133. doi: 10.1016/j.crmeth.2021.100133. eCollection 2022 Jan 24.
2
Genotype-Phenotype Predictions in Autism: Are We There Yet?自闭症的基因型-表型预测:我们做到了吗?
Am J Psychiatry. 2021 Jan 1;178(1):11-12. doi: 10.1176/appi.ajp.2020.20111589.
3
Clustering by phenotype and genome-wide association study in autism.孤独症的表型和全基因组关联研究聚类分析。
Transl Psychiatry. 2020 Aug 17;10(1):290. doi: 10.1038/s41398-020-00951-x.
4
Association of genes with phenotype in autism spectrum disorder.自闭症谱系障碍中基因与表型的关联
Aging (Albany NY). 2019 Nov 19;11(22):10742-10770. doi: 10.18632/aging.102473.
5
VariCarta: A Comprehensive Database of Harmonized Genomic Variants Found in Autism Spectrum Disorder Sequencing Studies.VariCarta:自闭症谱系障碍测序研究中发现的基因组变异的综合数据库。
Autism Res. 2019 Dec;12(12):1728-1736. doi: 10.1002/aur.2236. Epub 2019 Nov 9.
6
Phenotype-to-genotype approach reveals head-circumference-associated genes in an autism spectrum disorder cohort.表型-基因型方法揭示自闭症谱系障碍队列中与头围相关的基因。
Clin Genet. 2020 Feb;97(2):338-346. doi: 10.1111/cge.13665. Epub 2019 Nov 14.
7
Deconstructing the sources of genotype-phenotype associations in humans.剖析人类基因型-表型关联的来源。
Science. 2019 Sep 27;365(6460):1396-1400. doi: 10.1126/science.aax3710.
8
PhenPath: a tool for characterizing biological functions underlying different phenotypes.PhenPath:一个用于描述不同表型背后生物功能的工具。
BMC Genomics. 2019 Jul 16;20(Suppl 8):548. doi: 10.1186/s12864-019-5868-x.
9
Transcriptomic metaanalyses of autistic brains reveals shared gene expression and biological pathway abnormalities with cancer.自闭症大脑的转录组荟萃分析显示与癌症具有共同的基因表达和生物学途径异常。
Mol Autism. 2019 Apr 8;10:17. doi: 10.1186/s13229-019-0262-8. eCollection 2019.
10
Autistic Symptoms in Schizophrenia Spectrum Disorders: A Systematic Review and Meta-Analysis.精神分裂症谱系障碍中的自闭症症状:一项系统评价与荟萃分析。
Front Psychiatry. 2019 Feb 21;10:78. doi: 10.3389/fpsyt.2019.00078. eCollection 2019.