Suppr超能文献

全基因组关联研究检测到精神分裂症的新易感基因和跨人群/疾病的遗传效应共享。

Genome-Wide Association Study Detected Novel Susceptibility Genes for Schizophrenia and Shared Trans-Populations/Diseases Genetic Effect.

机构信息

Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.

Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.

出版信息

Schizophr Bull. 2019 Jun 18;45(4):824-834. doi: 10.1093/schbul/sby140.

Abstract

Genome-wide association studies (GWASs) have identified >100 susceptibility loci for schizophrenia (SCZ) and demonstrated that SCZ is a polygenic disorder determined by numerous genetic variants but with small effect size. We conducted a GWAS in the Japanese (JPN) population (a) to detect novel SCZ-susceptibility genes and (b) to examine the shared genetic risk of SCZ across (East Asian [EAS] and European [EUR]) populations and/or that of trans-diseases (SCZ, bipolar disorder [BD], and major depressive disorder [MDD]) within EAS and between EAS and EUR (trans-diseases/populations). Among the discovery GWAS subjects (JPN-SCZ GWAS: 1940 SCZ cases and 7408 controls) and replication dataset (4071 SCZ cases and 54479 controls), both comprising JPN populations, 3 novel susceptibility loci for SCZ were identified: SPHKAP (Pbest = 4.1 × 10-10), SLC38A3 (Pbest = 5.7 × 10-10), and CABP1-ACADS (Pbest = 9.8 × 10-9). Subsequent meta-analysis between our samples and those of the Psychiatric GWAS Consortium (PGC; EUR samples) and another study detected 12 additional susceptibility loci. Polygenic risk score (PRS) prediction revealed a shared genetic risk of SCZ across populations (Pbest = 4.0 × 10-11) and between SCZ and BD in the JPN population (P ~ 10-40); however, a lower variance-explained was noted between JPN-SCZ GWAS and PGC-BD or MDD within/across populations. Genetic correlation analysis supported the PRS results; the genetic correlation between JPN-SCZ and PGC-SCZ was ρ = 0.58, whereas a similar/lower correlation was observed between the trans-diseases (JPN-SCZ vs JPN-BD/EAS-MDD, rg = 0.56/0.29) or trans-diseases/populations (JPN-SCZ vs PGC-BD/MDD, ρ = 0.38/0.12). In conclusion, (a) Fifteen novel loci are possible susceptibility genes for SCZ and (b) SCZ "risk" effect is shared with other psychiatric disorders even across populations.

摘要

全基因组关联研究(GWAS)已经确定了超过 100 个精神分裂症(SCZ)易感基因,并表明 SCZ 是一种由许多遗传变异决定的多基因疾病,但效应大小较小。我们在日本(JPN)人群中进行了 GWAS,以检测新的 SCZ 易感基因,并检查 SCZ 在(东亚 [EAS] 和欧洲 [EUR])人群中的共享遗传风险,或 EAS 内的跨疾病(SCZ、双相情感障碍 [BD] 和重度抑郁症 [MDD])和 EAS 与 EUR 之间的跨疾病/人群(跨疾病/人群)的遗传风险。在发现 GWAS 受试者(JPN-SCZ GWAS:1940 例 SCZ 病例和 7408 例对照)和复制数据集(4071 例 SCZ 病例和 54479 例对照)中,这两个数据集均包含 JPN 人群,确定了 3 个新的 SCZ 易感基因:SPHKAP(Pbest = 4.1×10-10)、SLC38A3(Pbest = 5.7×10-10)和 CABP1-ACADS(Pbest = 9.8×10-9)。在我们的样本与精神疾病 GWAS 联盟(PGC;EUR 样本)和另一项研究的样本之间进行的后续荟萃分析中,检测到了另外 12 个易感基因。多基因风险评分(PRS)预测显示,SCZ 在人群之间存在共享的遗传风险(Pbest = 4.0×10-11),在 JPN 人群中,SCZ 与 BD 之间存在遗传风险(P~10-40);然而,在 JPN-SCZ GWAS 与 PGC-BD 或 MDD 之间,人群内/人群之间的解释方差较低。遗传相关性分析支持 PRS 结果;JPN-SCZ 和 PGC-SCZ 之间的遗传相关性为 ρ=0.58,而在跨疾病(JPN-SCZ 与 JPN-BD/EAS-MDD,rg=0.56/0.29)或跨疾病/人群(JPN-SCZ 与 PGC-BD/MDD,ρ=0.38/0.12)之间观察到类似/较低的相关性。总之,(a)15 个新的基因座可能是 SCZ 的易感基因,(b)SCZ“风险”效应在人群之间甚至与其他精神疾病共享。

相似文献

3
Characterizing the polygenic overlaps of bipolar disorder subtypes with schizophrenia and major depressive disorder.
J Affect Disord. 2022 Jul 15;309:242-251. doi: 10.1016/j.jad.2022.04.097. Epub 2022 Apr 26.
10
Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.
Biol Psychiatry. 2022 Jan 1;91(1):102-117. doi: 10.1016/j.biopsych.2021.02.972. Epub 2021 Mar 23.

引用本文的文献

1
Heritability and genetic contribution analysis of structural-functional coupling in human brain.
Imaging Neurosci (Camb). 2024 Oct 30;2. doi: 10.1162/imag_a_00346. eCollection 2024.
2
Genetic implication of GABA receptors in the etiology of neurological and psychiatric disorders.
Front Pharmacol. 2025 Jul 18;16:1634128. doi: 10.3389/fphar.2025.1634128. eCollection 2025.
3
5
SNP-associated differential methylation in : insights into genetic-epigenetic interactions.
Epigenomics. 2025 Jun;17(9):579-588. doi: 10.1080/17501911.2025.2513215. Epub 2025 May 30.
6
Using human genetics to understand the epidemiological association between neuroticism and lung cancer.
Transl Lung Cancer Res. 2025 Apr 30;14(4):1104-1117. doi: 10.21037/tlcr-24-950. Epub 2025 Apr 15.
7
HORNET: tools to find genes with causal evidence and their regulatory networks using eQTLs.
Bioinform Adv. 2025 Apr 18;5(1):vbaf068. doi: 10.1093/bioadv/vbaf068. eCollection 2025.
8
Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.
Nat Hum Behav. 2025 Mar;9(3):609-624. doi: 10.1038/s41562-024-02091-4. Epub 2025 Jan 3.
9
Whole exome sequencing identified six novel genes for depressive symptoms.
Mol Psychiatry. 2025 May;30(5):1925-1936. doi: 10.1038/s41380-024-02804-1. Epub 2024 Oct 29.
10

本文引用的文献

1
Genome-wide association study identifies 30 loci associated with bipolar disorder.
Nat Genet. 2019 May;51(5):793-803. doi: 10.1038/s41588-019-0397-8. Epub 2019 May 1.
2
Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia.
Nat Genet. 2017 Nov;49(11):1576-1583. doi: 10.1038/ng.3973. Epub 2017 Oct 9.
3
Genetic effects influencing risk for major depressive disorder in China and Europe.
Transl Psychiatry. 2017 Mar 28;7(3):e1074. doi: 10.1038/tp.2016.292.
6
Transethnic Genetic-Correlation Estimates from Summary Statistics.
Am J Hum Genet. 2016 Jul 7;99(1):76-88. doi: 10.1016/j.ajhg.2016.05.001. Epub 2016 Jun 16.
7
Partitioning heritability by functional annotation using genome-wide association summary statistics.
Nat Genet. 2015 Nov;47(11):1228-35. doi: 10.1038/ng.3404. Epub 2015 Sep 28.
8
An atlas of genetic correlations across human diseases and traits.
Nat Genet. 2015 Nov;47(11):1236-41. doi: 10.1038/ng.3406. Epub 2015 Sep 28.
9
Genome-wide association study of schizophrenia in Ashkenazi Jews.
Am J Med Genet B Neuropsychiatr Genet. 2015 Dec;168(8):649-59. doi: 10.1002/ajmg.b.32349. Epub 2015 Jul 21.
10
Sparse whole-genome sequencing identifies two loci for major depressive disorder.
Nature. 2015 Jul 30;523(7562):588-91. doi: 10.1038/nature14659. Epub 2015 Jul 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验