使用MERLIN对GenRED数据(复发性早发性抑郁症遗传学)进行二次分析。

IF 3.5 3区 医学 Q1 CLINICAL NEUROLOGY
Mutaz Amin, Claudia Gragnoli
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引用次数: 0

摘要

抑郁症的家族相关性是一个关键的方面,有证据表明有大量的遗传成分。调查家庭中的遗传模式可以为抑郁症的遗传基础提供有价值的见解。为了获得抑郁症遗传学基础的新视角,我们对复发性早发性抑郁症遗传学(GenRED)数据集进行了一项新的分析,该数据集包括683个美国高加索家庭,每个家庭有一个先证家族患有复发性早发性重度抑郁症,至少有一个兄弟姐妹患有抑郁症。使用MERLIN工具,我们确定了37个与早发性复发性抑郁症有显著联系的基因组标记。这些发现不同于先前使用不同分析工具对GenRED进行的分析。我们的研究结果强调了在同一数据集上使用不同分析工具可能产生的变异性和潜在差异。考虑到微卫星发生复制、突变和扩增错误的可能性,我们的两点分析比以前的多点分析更可靠。另外,一个限制是基因混合;对同质性更强的族群进行研究是有必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secondary analysis of GenRED data (Genetics of Recurrent Early-Onset major Depression) using MERLIN.

The familial relevance of depression is a critical aspect, with evidence suggesting a substantial hereditary component. Investigating the inheritance patterns within families can provide valuable insights into the genetic underpinnings of depression. To gain a new perspective on the genetics underpinning of depression, we conducted a novel analysis of the Genetics of Recurrent Early-onset Depression (GenRED) dataset including 683 U.S. Caucasian families, each with one proband with recurrent early-onset major depression and at least one sibling with depression. Using the MERLIN tool, we identified 37 genomic markers with nominal significance linkage to early-onset recurrent depression. The findings differ from prior analyses of GenRED using a different analytical tool. Our findings highlight the variability and potential discrepancies that can arise from using different analytical tools on the same dataset. Given the chance of microsatellites undergoing duplication, mutations, and amplification errors, our two-point analysis can be more robust compared to the previous multipoint analysis. Also, one limitation is genetic admixture; studies with more homogenous ethnic groups are warranted.

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来源期刊
CiteScore
8.80
自引率
4.30%
发文量
154
审稿时长
6-12 weeks
期刊介绍: The original papers published in the European Archives of Psychiatry and Clinical Neuroscience deal with all aspects of psychiatry and related clinical neuroscience. Clinical psychiatry, psychopathology, epidemiology as well as brain imaging, neuropathological, neurophysiological, neurochemical and moleculargenetic studies of psychiatric disorders are among the topics covered. Thus both the clinician and the neuroscientist are provided with a handy source of information on important scientific developments.
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