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Dementia key gene identification with multi-layered SNP-gene-disease network
Bioinformatics ( IF 5.8 ) Pub Date : 2020-12-29 , DOI: 10.1093/bioinformatics/btaa814
Dong-gi Lee 1 , Myungjun Kim 1 , Sang Joon Son 2 , Chang Hyung Hong 2 , Hyunjung Shin 1
Affiliation  

Recently, various approaches for diagnosing and treating dementia have received significant attention, especially in identifying key genes that are crucial for dementia. If the mutations of such key genes could be tracked, it would be possible to predict the time of onset of dementia and significantly aid in developing drugs to treat dementia. However, gene finding involves tremendous cost, time and effort. To alleviate these problems, research on utilizing computational biology to decrease the search space of candidate genes is actively conducted.

中文翻译:

多层SNP-基因-疾病网络识别痴呆关键基因

近来,用于诊断和治疗痴呆的各种方法受到了极大的关注,尤其是在鉴定对于痴呆至关重要的关键基因中。如果可以追踪此类关键基因的突变,则可以预测痴呆症的发作时间,并显着帮助开发治疗痴呆症的药物。然而,基因发现涉及巨大的成本,时间和精力。为了减轻这些问题,积极地进行了利用计算生物学来减少候选基因的搜索空间的研究。
更新日期:2020-12-31
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