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关于吸烟及其他成瘾易感性基因的连锁分析和关联分析的趋同研究结果。

Converging findings from linkage and association analyses on susceptibility genes for smoking and other addictions.

作者信息

Yang J, Li M D

机构信息

State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, VA, USA.

出版信息

Mol Psychiatry. 2016 Aug;21(8):992-1008. doi: 10.1038/mp.2016.67. Epub 2016 May 10.

Abstract

Experimental approaches to genetic studies of complex traits evolve with technological advances. How do discoveries using different approaches advance our knowledge of the genetic architecture underlying complex diseases/traits? Do most of the findings of newer techniques, such as genome-wide association study (GWAS), provide more information than older ones, for example, genome-wide linkage study? In this review, we address these issues by developing a nicotine dependence (ND) genetic susceptibility map based on the results obtained by the approaches commonly used in recent years, namely, genome-wide linkage, candidate gene association, GWAS and targeted sequencing. Converging and diverging results from these empirical approaches have elucidated a preliminary genetic architecture of this intractable psychiatric disorder and yielded new hypotheses on ND etiology. The insights we obtained by putting together results from diverse approaches can be applied to other complex diseases/traits. In sum, developing a genetic susceptibility map and keeping it updated are effective ways to keep track of what we know about a disease/trait and what the next steps may be with new approaches.

摘要

复杂性状基因研究的实验方法随着技术进步而不断发展。使用不同方法的研究发现如何推动我们对复杂疾病/性状潜在遗传结构的认识?诸如全基因组关联研究(GWAS)等新技术的大多数发现是否比诸如全基因组连锁研究等旧技术提供更多信息?在本综述中,我们通过基于近年来常用方法(即全基因组连锁、候选基因关联、GWAS和靶向测序)获得的结果,构建尼古丁依赖(ND)遗传易感性图谱来解决这些问题。这些实证方法得出的趋同和分歧结果阐明了这种难治性精神疾病的初步遗传结构,并产生了关于ND病因的新假设。我们通过整合不同方法的结果所获得的见解可应用于其他复杂疾病/性状。总之,构建并更新遗传易感性图谱是跟踪我们对一种疾病/性状的了解以及新方法后续步骤的有效途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4778/4956568/a4b72e3092ab/nihms-767542-f0001.jpg

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