外显率R包在基于家庭的研究中用于估计年龄特定风险。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2025-07-08 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbaf154
Nicolas Kubista, Danielle Braun, Giovanni Parmigiani
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引用次数: 0

摘要

动机:可靠的外显率(携带遗传变异者的年龄特异性风险)估计工具和软件对于改善遗传综合征的临床决策和风险评估至关重要。然而,在基于家庭的研究中,缺乏实现贝叶斯估计方法的易于使用的外显率估计软件。结果:我们引入了外显率,一个在CRAN上可用的开源R包,使用家族史系谱数据来估计年龄特异性外显率。该软件包使用贝叶斯估计方法,允许通过载波分布参数的先验规范合并先验知识。它还包括在估计过程中计算缺失年龄的选项,解决谱系数据集中并不罕见的不完整年龄信息。我们的开源软件为研究人员提供了一个灵活和用户友好的工具,以估计复杂的基于家庭的研究外显率,促进改进遗传综合征的遗传风险评估。可用性和实现:外显包在CRAN上免费提供。源代码和文档可从https://github.com/nicokubi/penetrance获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The <i>penetrance</i> R package for estimation of age specific risk in family-based studies.

The penetrance R package for estimation of age specific risk in family-based studies.

Motivation: Reliable tools and software for penetrance (age-specific risk among those who carry a genetic variant) estimation are critical to improving clinical decision making and risk assessment for hereditary syndromes. However, there is a lack of easily usable software for penetrance estimation in family-based studies that implements a Bayesian estimation approach.

Results: We introduce penetrance, an open-source R package available on CRAN, to estimate age-specific penetrance using family-history pedigree data. The package uses a Bayesian estimation approach, allowing for the incorporation of prior knowledge through the specification of priors for the parameters of the carrier distribution. It also includes options to impute missing ages during the estimation process, addressing incomplete age information which is not uncommon in pedigree datasets. Our open-source software provides a flexible and user-friendly tool for researchers to estimate penetrance in complex family-based studies, facilitating improved genetic risk assessment in hereditary syndromes.

Availability and implementation: The penetrance package is freely available on CRAN. Source code and documentation are available at https://github.com/nicokubi/penetrance.

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