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偏头痛的遗传学

Genetics of migraine.

作者信息

Anttila Verneri, Wessman Maija, Kallela Mikko, Palotie Aarno

机构信息

Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston; and Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.

Folkhälsan Institute of Genetics and Institute for Molecular Medicine (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

出版信息

Handb Clin Neurol. 2018;148:493-503. doi: 10.1016/B978-0-444-64076-5.00031-4.

Abstract

Genetics of migraine has recently undergone a major shift, moving in the space of a few years from having only a few known genes for rare Mendelian forms to 47 known common variant loci affecting the susceptibility of the common forms of migraine. This has largely been achieved by rapidly increasing sample sizes for genomewide association studies (GWAS), soon to be followed by the first wave of large-scale exome-sequencing studies. The large number of detected loci, chief among them TRPM8, PRDM16, and LRP1, have enabled a number of in silico analyses, which have shed light on the functional and tissue-level aspects of the common risk variants for migraine, including evidence for involvement of both vascular and neuronal mechanisms. Polygenic risk scores and other measures of genetic variance based on GWAS information are further opening the door to dissecting pharmacogenetics, functional etiology, and comorbidity. Heritability-based analyses are demonstrating strong links between migraine and other neuropsychiatric disorders and brain phenotypes, highlighting genetic links between migraine and major depressive disorder and attention-deficit hyperactivity disorder, among others. These recent successes in migraine genetics are starting to be mature enough to provide robust evidence of specific quantifiable genetic factors in common migraine.

摘要

偏头痛遗传学最近经历了重大转变,在短短几年内,从仅知道少数与罕见孟德尔形式相关的基因,发展到有47个已知的常见变异位点影响常见偏头痛形式的易感性。这在很大程度上是通过迅速增加全基因组关联研究(GWAS)的样本量实现的,随后很快将迎来第一波大规模外显子组测序研究。大量检测到的位点,其中主要有TRPM8、PRDM16和LRP1,使得一系列计算机模拟分析得以进行,这些分析揭示了偏头痛常见风险变异在功能和组织水平方面的情况,包括血管和神经元机制均有涉及的证据。基于GWAS信息的多基因风险评分和其他遗传方差测量方法,进一步为剖析药物遗传学、功能病因学和共病情况打开了大门。基于遗传力的分析表明偏头痛与其他神经精神疾病及脑表型之间存在紧密联系,突出了偏头痛与重度抑郁症、注意力缺陷多动障碍等疾病之间的遗传关联。偏头痛遗传学领域最近取得的这些成功已逐渐成熟,足以提供常见偏头痛中特定可量化遗传因素的有力证据。

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