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精准精神病学中未满足的需求。

Unmet needs in precision psychiatry.

作者信息

Sand Philipp G, Poeppl Timm B, Roessler Vera

机构信息

Department of Psychiatry, University of Regensburg, Regensburg 93053, Bavaria, Germany.

Centre of Psychiatry, Psychotherapy and Special Education, Bezirkskrankenhaus Kaufbeuren, Kaufbeuren 87600, Bavaria, Germany.

出版信息

World J Psychiatry. 2025 Sep 19;15(9):108222. doi: 10.5498/wjp.v15.i9.108222.

Abstract

A recent meta-analysis has suggested a promoter variant may predict antidepressant response. The present review comments on the claims made in view of sensitivity issues and issues pertaining to genetic exposure. We also alert to errors in the original data that had been carried over. Specifically, primers meant to amplify the gene aligned to the gene sequence. Alleles had been confounded owing to DNA strand ambiguities and demographic information proved inaccurate. In the light of these findings, adherence to PRISMA guidelines and use of the Newcastle-Ottawa Scale did not safeguard against bias. More after action reviews are encouraged to identify factors likely to interfere with estimates of genetic risk in large data sets. These may result from pooling of ethnic groups, the use of binary data or other formats that are not human-readable, the introduction of surrogate identifiers and a failure to reverse-engineer previously published experimental protocols. Unless the above challenges are met, sequence variants are unlikely to inform personalized medicine strategies in psychiatry.

摘要

最近的一项荟萃分析表明,一种启动子变体可能预测抗抑郁药反应。本综述针对敏感性问题以及与基因暴露相关的问题对这些说法进行评论。我们还提醒注意被沿用的原始数据中的错误。具体而言,用于扩增与该基因序列比对的基因的引物。由于DNA链的不确定性,等位基因被混淆,并且人口统计学信息被证明不准确。鉴于这些发现,遵守PRISMA指南和使用纽卡斯尔-渥太华量表并不能防止偏差。鼓励进行更多事后审查,以识别可能干扰大数据集中遗传风险估计的因素。这些可能源于不同种族群体的合并、使用二进制数据或其他不可读的格式、引入替代标识符以及未能对先前发表的实验方案进行逆向工程。除非应对上述挑战,否则序列变体不太可能为精神病学中的个性化医疗策略提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6aa8/12417984/ac464fd80158/wjp-15-9-108222-g001.jpg

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