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51227 名儿科个体综合表型数据中神经发育障碍个体共病的患病率。

Prevalence of comorbidities in individuals with neurodevelopmental disorders from the aggregated phenomics data of 51,227 pediatric individuals.

机构信息

Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.

Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.

出版信息

Nat Med. 2024 Jul;30(7):1994-2003. doi: 10.1038/s41591-024-03005-7. Epub 2024 May 14.

Abstract

The prevalence of comorbidities in individuals with neurodevelopmental disorders (NDDs) is not well understood, yet these are important for accurate diagnosis and prognosis in routine care and for characterizing the clinical spectrum of NDD syndromes. We thus developed PhenomAD-NDD, an aggregated database containing the comorbid phenotypic data of 51,227 individuals with NDD, all harmonized into Human Phenotype Ontology (HPO), with in total 3,054 unique HPO terms. We demonstrate that almost all congenital anomalies are more prevalent in the NDD population than in the general population, and the NDD baseline prevalence allows for an approximation of the enrichment of symptoms. For example, such analyses of 33 genetic NDDs show that 32% of enriched phenotypes are currently not reported in the clinical synopsis in the Online Mendelian Inheritance in Man (OMIM). PhenomAD-NDD is open to all via a visualization online tool and allows us to determine the enrichment of symptoms in NDD.

摘要

神经发育障碍(NDD)患者合并症的流行情况尚不清楚,但这些对于常规护理中的准确诊断和预后以及 NDD 综合征的临床谱特征具有重要意义。因此,我们开发了 PhenomAD-NDD,这是一个包含 51227 名 NDD 患者合并表型数据的综合数据库,所有数据都已统一到人类表型本体论(HPO)中,共包含 3054 个独特的 HPO 术语。我们证明,几乎所有先天性异常在 NDD 人群中的患病率都高于普通人群,而 NDD 的基线患病率允许对症状的富集进行近似估计。例如,对 33 种遗传性 NDD 的此类分析表明,32%的富集表型目前未在在线孟德尔遗传在线数据库(OMIM)的临床概要中报告。PhenomAD-NDD 通过可视化在线工具向所有人开放,并使我们能够确定 NDD 中症状的富集情况。

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