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对Lam等人所著《大规模认知全基因组关联研究荟萃分析揭示组织特异性神经表达和潜在的益智药物靶点》的进一步评论

A Further Comment on 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' by Lam et al.

作者信息

Hill W D

机构信息

Centre for Cognitive Ageing and Cognitive Epidemiology,University of Edinburgh,Edinburgh,UK.

出版信息

Twin Res Hum Genet. 2018 Dec;21(6):538-545. doi: 10.1017/thg.2018.55. Epub 2018 Oct 8.

DOI:10.1017/thg.2018.55
PMID:30293537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6390408/
Abstract

Lam et al. (2018) respond to a commentary of their paper entitled 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' Lam et al. (2017). While Lam et al. (2018) have now provided the recommended quality control metrics for their paper, problems remain. Specifically, Lam et al. (2018) do not dispute that the results of their multi-trait analysis of genome-wide association study (MTAG) analysis has produced a phenotype with a genetic correlation of one with three measures of education, but do claim the associations found are specific to the trait of cognitive ability. In this brief paper, it is empirically demonstrated that the phenotype derived by Lam et al. (2017) is more genetically similar to education than cognitive ability. In addition, it is shown that of the genome-wide significant loci identified by Lam et al. (2017) are loci that are associated with education rather than with cognitive ability.

摘要

林等人(2018年)回应了对他们题为《大规模认知全基因组关联研究荟萃分析揭示组织特异性神经表达和潜在的益智药物靶点》的论文的一篇评论(林等人,2017年)。虽然林等人(2018年)现在已经为他们的论文提供了推荐的质量控制指标,但问题仍然存在。具体而言,林等人(2018年)并不否认他们的全基因组关联研究多性状分析(MTAG)的结果产生了一种与三种教育测量指标遗传相关性为1的表型,但他们声称所发现的关联是认知能力这一性状所特有的。在这篇简短的论文中,通过实证证明,林等人(2017年)得出的表型在遗传上与教育比与认知能力更为相似。此外,研究表明,林等人(2017年)确定的全基因组显著位点是与教育相关而非与认知能力相关的位点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/5449f16b4fee/S1832427418000555_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/db07a7cba06a/S1832427418000555_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/4982acee8c5e/S1832427418000555_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/c9c9cbed4c89/S1832427418000555_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/5449f16b4fee/S1832427418000555_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/db07a7cba06a/S1832427418000555_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/4982acee8c5e/S1832427418000555_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/c9c9cbed4c89/S1832427418000555_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9d6/6390408/5449f16b4fee/S1832427418000555_fig4.jpg

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Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.对 300486 人的研究确定了 148 个独立的遗传位置,影响一般认知功能。
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