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双相情感障碍中的拷贝数变异

Copy number variation in bipolar disorder.

作者信息

Green E K, Rees E, Walters J T R, Smith K-G, Forty L, Grozeva D, Moran J L, Sklar P, Ripke S, Chambert K D, Genovese G, McCarroll S A, Jones I, Jones L, Owen M J, O'Donovan M C, Craddock N, Kirov G

机构信息

School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK.

MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.

出版信息

Mol Psychiatry. 2016 Jan;21(1):89-93. doi: 10.1038/mp.2014.174. Epub 2015 Jan 6.

Abstract

Large (>100 kb), rare (<1% in the population) copy number variants (CNVs) have been shown to confer risk for schizophrenia (SZ), but the findings for bipolar disorder (BD) are less clear. In a new BD sample from the United Kingdom (n=2591), we have examined the occurrence of CNVs and compared this with previously reported samples of 6882 SZ and 8842 control subjects. When combined with previous data, we find evidence for a contribution to BD for three SZ-associated CNV loci: duplications at 1q21.1 (P=0.022), deletions at 3q29 (P=0.03) and duplications at 16p11.2 (P=2.3 × 10(-4)). The latter survives multiple-testing correction for the number of recurrent large CNV loci in the genome. Genes in 20 regions (total of 55 genes) were enriched for rare exonic CNVs among BD cases, but none of these survives correction for multiple testing. Finally, our data provide strong support for the hypothesis of a lesser contribution of very large (>500 kb) CNVs in BD compared with SZ, most notably for deletions >1 Mb (P=9 × 10(-4)).

摘要

大型(>100 kb)、罕见(在人群中<1%)的拷贝数变异(CNV)已被证明会增加精神分裂症(SZ)的患病风险,但双相情感障碍(BD)的相关研究结果尚不清楚。在一个来自英国的新BD样本(n = 2591)中,我们检测了CNV的发生率,并将其与之前报道的6882例SZ样本和8842例对照样本进行比较。结合之前的数据,我们发现三个与SZ相关的CNV位点对BD有影响:1q21.1处的重复(P = 0.022)、3q29处的缺失(P = 0.03)以及16p11.2处的重复(P = 2.3×10⁻⁴)。后者在对基因组中反复出现的大型CNV位点数量进行多重检验校正后仍具有统计学意义。在BD病例中,20个区域(共55个基因)的基因富含罕见的外显子CNV,但这些在多重检验校正后均无统计学意义。最后,我们的数据有力支持了这样一个假设:与SZ相比,非常大(>500 kb)的CNV对BD的影响较小,尤其是>1 Mb的缺失(P = 9×10⁻⁴)。

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