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CalPen(外显率计算器),一个用于估计复杂遗传疾病外显率的网络工具。

CalPen (Calculator of Penetrance), a web-based tool to estimate penetrance in complex genetic disorders.

机构信息

Department of Biological Sciences, Hyderabad, India.

出版信息

PLoS One. 2020 Jan 29;15(1):e0228156. doi: 10.1371/journal.pone.0228156. eCollection 2020.

DOI:10.1371/journal.pone.0228156
PMID:31995602
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6988981/
Abstract

Mutations conferring susceptibility to complex disorders also occur in healthy individuals but at significantly lower frequencies than in patients, indicating that these mutations are not completely penetrant. Therefore, it is important to estimate the penetrance or the likelihood of developing a disease in presence of a mutation. Recently, a method to calculate penetrance and its credible intervals was developed on the basis of the Bayesian method and since been used in literature. However, in the present form, this approach demands programming skills for its utility. Here, we developed 'CalPen', a web-based tool for straightforward calculation of penetrance and its credible intervals by entering the number of mutations identified in controls and patients, and the number of patients and controls studied. For validation purposes, we show that CalPen-derived penetrance values are in good agreement with the published values. As further demonstration of its utility, we used schizophrenia as an example of complex disorder and estimated penetrance values for 15 different copy number variants (CNVs) reported in 39,059 patients and 55,084 controls, and 145 SNPs reported in 45,405 patients and 122,761 controls. CNVs showed an average penetrance of 7% with 22q11.21 CNVs having highest value (20%) and 15q11.2 deletions with lowest value (1.4%). Most SNPs, on the other hand showed a penetrance of 0.7% with rs1801028 having the highest penetrance (1.6%). In summary, CalPen is an accurate and user-friendly web-based tool useful in human genetic research to ascertain the ability of the mutation/ variant to cause a complex genetic disorder.

摘要

突变赋予了个体易患复杂疾病的倾向,但在健康个体中出现的频率明显低于患者,这表明这些突变并非完全外显。因此,估计在存在突变的情况下发生疾病的外显率或可能性非常重要。最近,一种基于贝叶斯方法的计算外显率及其置信区间的方法已经开发出来,并在文献中得到了应用。然而,目前这种方法需要编程技能才能使用。在这里,我们开发了“CalPen”,这是一个基于网络的工具,可以通过输入在对照和患者中鉴定的突变数量、研究的患者和对照数量,轻松计算外显率及其置信区间。为了验证目的,我们表明 CalPen 衍生的外显率值与已发表的值非常吻合。作为其用途的进一步证明,我们以精神分裂症为例,对在 39059 名患者和 55084 名对照中报道的 15 种不同拷贝数变异(CNV)以及在 45405 名患者和 122761 名对照中报道的 145 个 SNP 进行了估计。CNV 显示出 7%的平均外显率,其中 22q11.21 CNV 的值最高(约 20%),15q11.2 缺失的最低(约 1.4%)。另一方面,大多数 SNP 的外显率为 0.7%,其中 rs1801028 的外显率最高(1.6%)。总之,CalPen 是一种准确且易于使用的基于网络的工具,可用于人类遗传研究,以确定突变/变体引起复杂遗传疾病的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6d/6988981/b4ee5baa9161/pone.0228156.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6d/6988981/cf04f2b90ce9/pone.0228156.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6d/6988981/b4ee5baa9161/pone.0228156.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6d/6988981/cf04f2b90ce9/pone.0228156.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6d/6988981/b4ee5baa9161/pone.0228156.g002.jpg

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