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基因型组合对银屑病的影响:一种穷举算法视角

Genotype combination contributes to psoriasis: An exhaustive algorithm perspective.

作者信息

Dou Jinfa, Guo Huimin, Cheng Fang, Huang Hequn, Fu Liying, Li Longnian, Yang Chao, Ye Lei, Wen Leilei, Cheng Yuyan, Tang Lili, Zhu Caihong, Zhu Zhengwei, Wang Wenjun, Sheng Yujun, Wang Zaixing, Liu Shengxiu, Fan Xing, Zuo Xianbo, Zhou Fusheng, Sun Liangdan, Zheng Xiaodong, Zhang Xuejun

机构信息

Institute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.

Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.

出版信息

PLoS One. 2017 Oct 11;12(10):e0186067. doi: 10.1371/journal.pone.0186067. eCollection 2017.

Abstract

Researchers have learned that nearly all conditions and diseases have a genetic component. With the benefit of technological advances, many single-nucleotide polymorphisms (SNPs) have been found to be associated with the risk of complex disorders by using genome wide association studies (GWASs). Disease-associated SNPs are sometimes shared by healthy controls and cannot clearly distinguish affected individuals from unaffected ones. The combined effects of multiple independent SNPs contribute to the disease process, but revealing the relationship between genotype and phenotype based on the combinations remains a great challenge. In this study, by considering the disease prevalence rate, we conducted an exhaustive process to identify whether a genotype combination pattern would have a decisive effect on complex disorders. Based on genotype data for 68 reported SNPs in 8,372 psoriasis patients and 8,510 healthy controls, we found that putative causal genotype combination patterns (CGCPs) were only present in psoriasis patients, not in healthy subjects. These results suggested that psoriasis might be contributed by combined genotypes, complementing the traditional modest susceptibility of a single variant in a single gene for a complex disease. This work is the first systematic study to analyze genotype combinations based on the reported susceptibility genes, considering each individual among the cases and controls from the Chinese population, and could potentially advance disease-gene mapping and precision medicine due to the causality relationship between the candidate CGCPs and complex diseases.

摘要

研究人员已经了解到,几乎所有的病症和疾病都有遗传成分。受益于技术进步,通过全基因组关联研究(GWAS)发现了许多单核苷酸多态性(SNP)与复杂疾病的风险相关。与疾病相关的SNP有时在健康对照中也会出现,无法明确区分患病个体和未患病个体。多个独立SNP的综合作用促成了疾病进程,但基于这些组合揭示基因型与表型之间的关系仍然是一项巨大挑战。在本研究中,通过考虑疾病患病率,我们进行了详尽的过程来确定一种基因型组合模式是否会对复杂疾病产生决定性影响。基于8372例银屑病患者和8510例健康对照中68个已报道SNP的基因型数据,我们发现推定的因果基因型组合模式(CGCP)仅存在于银屑病患者中,而不存在于健康受试者中。这些结果表明,银屑病可能是由组合基因型导致的,补充了传统上单一基因中单个变异对复杂疾病的适度易感性。这项工作是首次基于已报道的易感基因对基因型组合进行系统研究,考虑了中国人群病例和对照中的每一个个体,并且由于候选CGCP与复杂疾病之间的因果关系,可能会推动疾病基因图谱绘制和精准医学的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcb2/5636117/94434569403f/pone.0186067.g001.jpg

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