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Evidence for 28 genetic disorders discovered by combining healthcare and research data.通过整合医疗保健和研究数据发现了 28 种遗传疾病的证据。
Nature. 2020 Oct;586(7831):757-762. doi: 10.1038/s41586-020-2832-5. Epub 2020 Oct 14.
2
The mutational constraint spectrum quantified from variation in 141,456 humans.从 141456 名人类个体的变异中量化的突变约束谱。
Nature. 2020 May;581(7809):434-443. doi: 10.1038/s41586-020-2308-7. Epub 2020 May 27.
3
Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism.大规模外显子组测序研究表明自闭症的神经生物学既有发育性变化也有功能性变化。
Cell. 2020 Feb 6;180(3):568-584.e23. doi: 10.1016/j.cell.2019.12.036. Epub 2020 Jan 23.
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The impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy.无义介导的 mRNA 衰变对遗传疾病、基因编辑和癌症免疫治疗的影响。
Nat Genet. 2019 Nov;51(11):1645-1651. doi: 10.1038/s41588-019-0517-5. Epub 2019 Oct 28.
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De Novo Heterozygous POLR2A Variants Cause a Neurodevelopmental Syndrome with Profound Infantile-Onset Hypotonia.从头突变的 POLR2A 变异导致伴有严重婴儿期起病的肌张力减退的神经发育综合征。
Am J Hum Genet. 2019 Aug 1;105(2):283-301. doi: 10.1016/j.ajhg.2019.06.016. Epub 2019 Jul 25.
6
Satb1 integrates DNA binding site geometry and torsional stress to differentially target nucleosome-dense regions.Satb1 通过整合 DNA 结合位点的几何形状和扭转力来有差异地靶向核小体密集区域。
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7
Heterozygous Variants in KMT2E Cause a Spectrum of Neurodevelopmental Disorders and Epilepsy.KMT2E 杂合变异导致一系列神经发育障碍和癫痫。
Am J Hum Genet. 2019 Jun 6;104(6):1210-1222. doi: 10.1016/j.ajhg.2019.03.021. Epub 2019 May 9.
8
Mutation update for the SATB2 gene.SATB2 基因突变更新。
Hum Mutat. 2019 Aug;40(8):1013-1029. doi: 10.1002/humu.23771. Epub 2019 Jun 18.
9
De Novo Mutations Affecting the Catalytic Cα Subunit of PP2A, PPP2CA, Cause Syndromic Intellectual Disability Resembling Other PP2A-Related Neurodevelopmental Disorders.影响 PP2A 催化 Cα 亚基(PPP2CA)的新生突变导致类似于其他 PP2A 相关神经发育障碍的综合征性智力障碍。
Am J Hum Genet. 2019 Jan 3;104(1):139-156. doi: 10.1016/j.ajhg.2018.12.002. Epub 2018 Dec 27.
10
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.人类表型本体(HPO)知识库和资源的扩展。
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突变特异性病理生理机制定义了与 SATB1 功能障碍相关的不同神经发育障碍。

Mutation-specific pathophysiological mechanisms define different neurodevelopmental disorders associated with SATB1 dysfunction.

机构信息

Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, the Netherlands; International Max Planck Research School for Language Sciences, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, the Netherlands.

Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6500 GL Nijmegen, the Netherlands.

出版信息

Am J Hum Genet. 2021 Feb 4;108(2):346-356. doi: 10.1016/j.ajhg.2021.01.007. Epub 2021 Jan 28.

DOI:10.1016/j.ajhg.2021.01.007
PMID:33513338
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7895900/
Abstract

Whereas large-scale statistical analyses can robustly identify disease-gene relationships, they do not accurately capture genotype-phenotype correlations or disease mechanisms. We use multiple lines of independent evidence to show that different variant types in a single gene, SATB1, cause clinically overlapping but distinct neurodevelopmental disorders. Clinical evaluation of 42 individuals carrying SATB1 variants identified overt genotype-phenotype relationships, associated with different pathophysiological mechanisms, established by functional assays. Missense variants in the CUT1 and CUT2 DNA-binding domains result in stronger chromatin binding, increased transcriptional repression, and a severe phenotype. In contrast, variants predicted to result in haploinsufficiency are associated with a milder clinical presentation. A similarly mild phenotype is observed for individuals with premature protein truncating variants that escape nonsense-mediated decay, which are transcriptionally active but mislocalized in the cell. Our results suggest that in-depth mutation-specific genotype-phenotype studies are essential to capture full disease complexity and to explain phenotypic variability.

摘要

虽然大规模的统计分析可以可靠地识别疾病与基因的关系,但它们无法准确捕捉基因型与表型的相关性或疾病机制。我们使用多条独立的证据表明,单个基因 SATB1 中的不同变体类型会导致临床表现重叠但明显不同的神经发育障碍。对携带 SATB1 变体的 42 个人进行临床评估,确定了明显的基因型与表型关系,这些关系与通过功能测定建立的不同病理生理机制相关。CUT1 和 CUT2 DNA 结合域中的错义变体导致更强的染色质结合、转录抑制增加,以及严重的表型。相比之下,预测导致杂合不足的变体与更轻微的临床表现相关。对于逃避无意义介导的衰变的具有提前终止蛋白的变体的个体,也观察到类似的轻微表型,这些变体转录活跃但在细胞内定位错误。我们的结果表明,深入的突变特异性基因型与表型研究对于捕捉疾病的复杂性和解释表型变异性至关重要。