Abstract：
RNA has gained a substantial amount of attention within the forensic field over the last decade. There is evidence that RNAs are differentially expressed with biological age. Since RNA can be co-extracted with DNA from the same piece of evidence, RNA-based analysis appears as a promising molecular alternative for predicting the biological age and hence inferring the chronological age of a person. Using RNA-Seq data we searched for markers in blood potentially associated with age. We used our own RNA-Seq data from dried blood stains as well as publicly available RNA-Seq data from whole blood, and compared two different approaches to select candidate markers. The first approach focused on individual gene analysis with DESeq2 to select the genes most correlated with age, while the second approach employed lasso regression to select a set of genes for optimal prediction of age. We present two lists with 270 candidate markers, one for each approach.
摘要：
在过去的十年中，RNA在法医领域获得了大量关注。有证据表明，RNA随着生物年龄的增长而差异表达。由于RNA可以与DNA从同一证据中共同提取，基于RNA的分析似乎是预测生物年龄并因此推断人的实际年龄的有前途的分子替代方案。使用RNA-Seq数据，我们搜索了血液中可能与年龄相关的标志物。我们使用了我们自己的来自干血染色的RNA-Seq数据以及来自全血的公开RNA-Seq数据，并比较了两种不同的选择候选标记的方法。第一种方法侧重于使用DESeq2进行个体基因分析，以选择与年龄最相关的基因，而第二种方法采用套索回归来选择一组基因来进行年龄的最佳预测。我们提供了两个列表，其中包含270个候选标记，一种方法。
