Meta-Analysis of Gene Popularity: Less Than Half of Gene Citations Stem from Gene Regulatory Networks.
Meta-Analysis of Gene Popularity: Less Than Half of Gene Citations Stem from Gene Regulatory Networks.
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DOI：
10.3390/genes12020319
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发表时间：
2021-02-23
期刊：
影响因子：
3.5
通讯作者：
Henriksson J
中科院分区：
文献类型：
--
作者：
Mihai IS;Das D;Maršalkaite G;Henriksson J
选择一个基因进行进一步研究的原因可能因历史势头和资金可用性而异，从而导致所有基因之间的注意力分配不平等。然而，在评估一个基因的受欢迎程度时，某些生物学特征往往被忽视。在这里，我们提出了一项荟萃分析，分析了不同基因被研究的原因和程度，重点是基因特异性的生物学特征。从无偏见的数据集，我们可以定义基因的生物学特性，这些特性可能会合理地影响它们的感知重要性。我们使用线性和非线性计算方法来估计基因流行度，然后比较它们的相对重要性。我们发现大约25%的研究是历史积极反馈的结果，我们可以认为这是社会强化。在其余特征中，基因家族成员是最具指示性的，其次是疾病相关性，最后是调控途径相关性。直到20世纪90年代，疾病相关性一直是一个重要的驱动因素，之后重点转移到探索每一个基因。我们还提供了一种资源，允许人们研究强化的影响，这可能指导我们对尚未得到相应关注的基因的研究。
The reasons for selecting a gene for further study might vary from historical momentum to funding availability, thus leading to unequal attention distribution among all genes. However, certain biological features tend to be overlooked in evaluating a gene’s popularity. Here we present a meta-analysis of the reasons why different genes have been studied and to what extent, with a focus on the gene-specific biological features. From unbiased datasets we can define biological properties of genes that reasonably may affect their perceived importance. We make use of both linear and nonlinear computational approaches for estimating gene popularity to then compare their relative importance. We find that roughly 25% of the studies are the result of a historical positive feedback, which we may think of as social reinforcement. Of the remaining features, gene family membership is the most indicative followed by disease relevance and finally regulatory pathway association. Disease relevance has been an important driver until the 1990s, after which the focus shifted to exploring every single gene. We also present a resource that allows one to study the impact of reinforcement, which may guide our research toward genes that have not yet received proportional attention.
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影响因子：
46.9
作者：
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者：
Newell, Evan W.
影响因子：
14.9
作者：
Ritchie ME;Phipson B;Wu D;Hu Y;Law CW;Shi W;Smyth GK
通讯作者：
Smyth GK
影响因子：
5.6
作者：
Romero, Luz;Portillo-Salido, Enrique
通讯作者：
Portillo-Salido, Enrique
影响因子：
3.9
作者：
Bailón-Moreno, R;Jurado-Alameda, E;Courtial, JP
通讯作者：
Courtial, JP
DOI：
10.1016/s0140-6736(17)32152-9
发表时间：
2017-09-16
期刊：
Lancet (London, England)
影响因子：
--
作者：
GBD 2016 Causes of Death Collaborators
通讯作者：
GBD 2016 Causes of Death Collaborators