Center for Genetic Medicine, Northwestern University, Chicago, United States of America.
Northwestern Institute on Complex Systems (NICO), Northwestern University, Evanston, United States of America.
PLoS Biol. 2018 Sep 18;16(9):e2006643. doi: 10.1371/journal.pbio.2006643. eCollection 2018 Sep.
Biomedical research has been previously reported to primarily focus on a minority of all known genes. Here, we demonstrate that these differences in attention can be explained, to a large extent, exclusively from a small set of identifiable chemical, physical, and biological properties of genes. Together with knowledge about homologous genes from model organisms, these features allow us to accurately predict the number of publications on individual human genes, the year of their first report, the levels of funding awarded by the National Institutes of Health (NIH), and the development of drugs against disease-associated genes. By explicitly identifying the reasons for gene-specific bias and performing a meta-analysis of existing computational and experimental knowledge bases, we describe gene-specific strategies for the identification of important but hitherto ignored genes that can open novel directions for future investigation.
先前有研究报告表明,生物医学研究主要集中在少数已知基因上。在这里,我们证明这些关注差异在很大程度上可以仅从一组可识别的基因的化学、物理和生物学特性来解释。结合来自模式生物的同源基因的知识,这些特征使我们能够准确预测单个人类基因的出版物数量、首次报道的年份、美国国立卫生研究院(NIH)授予的资助水平以及针对疾病相关基因的药物开发。通过明确识别基因特异性偏差的原因,并对现有的计算和实验知识库进行荟萃分析,我们描述了针对重要但迄今被忽视的基因的基因特异性鉴定策略,这些基因可以为未来的研究开辟新的方向。