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本文引用的文献

1
Epigenetics of dementia: understanding the disease as a transformation rather than a state.痴呆症的表观遗传学:将疾病理解为一种转变而非状态。
Lancet Neurol. 2016 Jun;15(7):760-774. doi: 10.1016/S1474-4422(16)00065-X. Epub 2016 May 9.
2
Microbiota and host determinants of behavioural phenotype in maternally separated mice.母婴分离小鼠行为表型的微生物群和宿主决定因素。
Nat Commun. 2015 Jul 28;6:7735. doi: 10.1038/ncomms8735.
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Transgenerational inheritance of metabolic disease.代谢性疾病的跨代遗传。
Semin Cell Dev Biol. 2015 Jul;43:131-140. doi: 10.1016/j.semcdb.2015.04.007. Epub 2015 Apr 29.
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Antidepressant action of HDAC inhibition in the prefrontal cortex.前额叶皮质中组蛋白去乙酰化酶抑制的抗抑郁作用。
Neuroscience. 2015 Jul 9;298:329-35. doi: 10.1016/j.neuroscience.2015.04.030. Epub 2015 Apr 20.
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Understanding type 2 diabetes: from genetics to epigenetics.了解2型糖尿病:从遗传学到表观遗传学。
Acta Diabetol. 2015 Oct;52(5):821-7. doi: 10.1007/s00592-015-0741-0. Epub 2015 Apr 5.
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The metabolic syndrome in a memory clinic population: relation with clinical profile and prognosis.记忆门诊人群中的代谢综合征:与临床特征及预后的关系
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Association of older paternal age with earlier onset among co-affected schizophrenia sib-pairs.在共同患精神分裂症的同胞对中,父亲年龄较大与发病较早之间的关联。
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Genome-wide methylome analyses reveal novel epigenetic regulation patterns in schizophrenia and bipolar disorder.全基因组甲基化组分析揭示了精神分裂症和双相情感障碍中新的表观遗传调控模式。
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跨代潜在早期生命关联调控将环境和遗传跨代统一起来。

Transgenerational latent early-life associated regulation unites environment and genetics across generations.

机构信息

Department of Psychiatry, Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA.

Department of Medical & Molecular Genetics, Indiana University School of Medicine, 320 West 15th Street, Indianapolis, IN 46202, USA.

出版信息

Epigenomics. 2016 Mar;8(3):373-87. doi: 10.2217/epi.15.117. Epub 2016 Mar 7.

DOI:10.2217/epi.15.117
PMID:26950428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4864244/
Abstract

The origin of idiopathic diseases is still poorly understood. The latent early-life associated regulation (LEARn) model unites environmental exposures and gene expression while providing a mechanistic underpinning for later-occurring disorders. We propose that this process can occur across generations via transgenerational LEARn (tLEARn). In tLEARn, each person is a 'unit' accumulating preclinical or subclinical 'hits' as in the original LEARn model. These changes can then be epigenomically passed along to offspring. Transgenerational accumulation of 'hits' determines a sporadic disease state. Few significant transgenerational hits would accompany conception or gestation of most people, but these may suffice to 'prime' someone to respond to later-life hits. Hits need not produce symptoms or microphenotypes to have a transgenerational effect. Testing tLEARn requires longitudinal approaches. A recently proposed longitudinal epigenome/envirome-wide association study would unite genetic sequence, epigenomic markers, environmental exposures, patient personal history taken at multiple time points and family history.

摘要

特发性疾病的起源仍知之甚少。潜在的生命早期相关调节(LEARn)模型将环境暴露和基因表达结合起来,为后来发生的疾病提供了一种机制基础。我们提出,这个过程可以通过跨代 LEARn(tLEARn)在代际间发生。在 tLEARn 中,每个人都是一个“单位”,像原始的 LEARn 模型一样积累临床前或亚临床“命中”。这些变化可以通过表观遗传传递给后代。“命中”的跨代积累决定了散发性疾病状态。很少有重大的跨代“命中”会伴随大多数人的受孕或妊娠,但这些可能足以“启动”某人对以后生活中的“命中”做出反应。“命中”不需要产生症状或微表型就具有跨代效应。测试 tLEARn 需要采用纵向方法。最近提出的纵向全基因组/环境关联研究将结合遗传序列、表观遗传标记、环境暴露、在多个时间点采集的患者个人病史和家族病史。