• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

与100天练习期间学习情况的基因关联。

Genetic associations with learning over 100 days of practice.

作者信息

Youn Cherry, Grotzinger Andrew D, Lill Christina M, Bertram Lars, Schmiedek Florian, Lövdén Martin, Lindenberger Ulman, Nivard Michel, Harden K Paige, Tucker-Drob Elliot M

机构信息

Department of Psychology, University of Texas at Austin, Austin, TX, USA.

Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany.

出版信息

NPJ Sci Learn. 2022 May 4;7(1):7. doi: 10.1038/s41539-022-00121-2.

DOI:10.1038/s41539-022-00121-2
PMID:35508486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9068685/
Abstract

Cognitive performance is both heritable and sensitive to environmental inputs and sustained practice over time. However, it is currently unclear how genetic effects on cognitive performance change over the course of learning. We examine how polygenic scores (PGS) created from genome-wide association studies of educational attainment and cognitive performance are related to improvements in performance across nine cognitive tests (measuring perceptual speed, working memory, and episodic memory) administered to 131 adults (N = 51, ages = 20-31, and N = 80, ages = 65-80 years) repeatedly across 100 days. We observe that PGS associations with performance on a given task can change over the course of learning, with the specific pattern of change in associations differing across tasks. PGS correlations with pre-test to post-test scores may mask variability in how soon learning occurs over the course of practice. The associations between PGS and learning do not appear to simply reconstitute patterns of association between baseline performance and subsequent learning. Associations involving PGSs, however, were small with large confidence intervals. Intensive longitudinal research such as that described here may be of substantial value for clarifying the genetics of learning when implemented as far larger scale.

摘要

认知能力既具有遗传性,又对环境输入以及长期的持续练习敏感。然而,目前尚不清楚基因对认知能力的影响在学习过程中是如何变化的。我们研究了从教育程度和认知能力的全基因组关联研究中创建的多基因分数(PGS),与对131名成年人(N = 51,年龄 = 20 - 31岁,N = 80,年龄 = 65 - 80岁)在100天内重复进行的九项认知测试(测量感知速度、工作记忆和情景记忆)中的能力提升之间的关系。我们观察到,PGS与特定任务表现之间的关联在学习过程中可能会发生变化,且关联变化的具体模式因任务而异。PGS与测试前到测试后分数的相关性可能会掩盖在练习过程中学习发生的时间差异。PGS与学习之间的关联似乎并非简单地重构基线表现与后续学习之间的关联模式。然而,涉及PGS的关联较小,置信区间较大。像这里所描述的密集纵向研究,如果以更大规模实施,可能对于阐明学习的遗传学具有重要价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/5bbf5915ebf1/41539_2022_121_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/77f0b0e38337/41539_2022_121_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/49e0ed1407d3/41539_2022_121_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/41a5402607e5/41539_2022_121_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/ef38c47c2344/41539_2022_121_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/5bbf5915ebf1/41539_2022_121_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/77f0b0e38337/41539_2022_121_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/49e0ed1407d3/41539_2022_121_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/41a5402607e5/41539_2022_121_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/ef38c47c2344/41539_2022_121_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d8/9068685/5bbf5915ebf1/41539_2022_121_Fig5_HTML.jpg

相似文献

1
Genetic associations with learning over 100 days of practice.与100天练习期间学习情况的基因关联。
NPJ Sci Learn. 2022 May 4;7(1):7. doi: 10.1038/s41539-022-00121-2.
2
Using multivariate endophenotypes to identify psychophysiological mechanisms associated with polygenic scores for substance use, schizophrenia, and education attainment.利用多变量内表型来识别与物质使用、精神分裂症和教育程度的多基因分数相关的心理生理机制。
Psychol Med. 2021 Mar 18;52(16):1-11. doi: 10.1017/S0033291721000763.
3
Associations Between Polygenic Scores for Cognitive and Non-cognitive Factors of Educational Attainment and Measures of Behavior, Psychopathology, and Neuroimaging in the Adolescent Brain Cognitive Development Study.青少年大脑认知发展研究中教育成就的认知和非认知因素多基因得分与行为、精神病理学及神经影像学测量之间的关联
medRxiv. 2023 Oct 28:2023.10.27.23297675. doi: 10.1101/2023.10.27.23297675.
4
The relationship between cognitive decline and a genetic predictor of educational attainment.认知能力下降与教育程度遗传预测指标之间的关系。
Soc Sci Med. 2019 Oct;239:112549. doi: 10.1016/j.socscimed.2019.112549. Epub 2019 Sep 13.
5
Polygenic scores for smoking and educational attainment have independent influences on academic success and adjustment in adolescence and educational attainment in adulthood.吸烟和教育程度的多基因分数对青少年时期的学业成功和适应以及成年后的教育程度有独立的影响。
PLoS One. 2021 Aug 17;16(8):e0255348. doi: 10.1371/journal.pone.0255348. eCollection 2021.
6
Educational attainment polygenic scores, socioeconomic factors, and cortical structure in children and adolescents.教育程度多基因评分、社会经济因素与儿童和青少年的皮质结构。
Hum Brain Mapp. 2022 Nov;43(16):4886-4900. doi: 10.1002/hbm.26034. Epub 2022 Jul 27.
7
Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment.认知和大脑发育受到社会经济地位和教育成就多基因评分的独立影响。
Proc Natl Acad Sci U S A. 2020 Jun 2;117(22):12411-12418. doi: 10.1073/pnas.2001228117. Epub 2020 May 19.
8
Polygenic Scores Clarify the Relationship Between Mental Health and Gender Diversity.多基因评分阐明了心理健康与性别多样性之间的关系。
Biol Psychiatry Glob Open Sci. 2024 Jan 24;4(2):100291. doi: 10.1016/j.bpsgos.2024.100291. eCollection 2024 Mar.
9
Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease.机器学习优化的血细胞性状多基因评分可识别性别特异性轨迹以及与疾病的遗传相关性。
Cell Genom. 2022 Jan 12;2(1):None. doi: 10.1016/j.xgen.2021.100086.
10
Alcohol and nicotine polygenic scores are associated with the development of alcohol and nicotine use problems from adolescence to young adulthood.酒精和尼古丁多基因评分与青少年到青年期酒精和尼古丁使用问题的发展有关。
Addiction. 2022 Apr;117(4):1117-1127. doi: 10.1111/add.15697. Epub 2021 Oct 24.

引用本文的文献

1
Genetics of cognitive performance, education and learning: from research to policy?认知能力、教育与学习的遗传学:从研究到政策?
NPJ Sci Learn. 2022 May 4;7(1):8. doi: 10.1038/s41539-022-00124-z.

本文引用的文献

1
Education and Cognitive Functioning Across the Life Span.教育与全生命周期认知功能
Psychol Sci Public Interest. 2020 Aug;21(1):6-41. doi: 10.1177/1529100620920576.
2
Working memory training involves learning new skills.工作记忆训练涉及学习新技能。
J Mem Lang. 2016 Sep 12;105:19-42. doi: 10.1016/j.jml.2018.10.003. Epub 2018 Dec 1.
3
Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood.从出生到成年的体重和肥胖轨迹的多基因预测。
Cell. 2019 Apr 18;177(3):587-596.e9. doi: 10.1016/j.cell.2019.03.028.
4
Genomic prediction of cognitive traits in childhood and adolescence.儿童和青少年认知特征的基因组预测。
Mol Psychiatry. 2019 Jun;24(6):819-827. doi: 10.1038/s41380-019-0394-4. Epub 2019 Apr 11.
5
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.从一项涉及 110 万人的教育程度全基因组关联研究中发现基因并进行多基因预测。
Nat Genet. 2018 Jul 23;50(8):1112-1121. doi: 10.1038/s41588-018-0147-3.
6
How Much Does Education Improve Intelligence? A Meta-Analysis.教育对智力的提升有多大作用?一项元分析。
Psychol Sci. 2018 Aug;29(8):1358-1369. doi: 10.1177/0956797618774253. Epub 2018 Jun 18.
7
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。
Nat Commun. 2018 May 29;9(1):2098. doi: 10.1038/s41467-018-04362-x.
8
Age differences in coupling of intraindividual variability in mnemonic strategies and practice-related associative recall improvements.记忆策略中个体内部变异性与练习相关的联想回忆改善之间耦合的年龄差异。
Psychol Aging. 2017 Sep;32(6):557-571. doi: 10.1037/pag0000177. Epub 2017 Jun 1.
9
Predicting educational achievement from DNA.从DNA预测学业成就。
Mol Psychiatry. 2017 Feb;22(2):267-272. doi: 10.1038/mp.2016.107. Epub 2016 Jul 19.
10
Rethinking expertise: A multifactorial gene-environment interaction model of expert performance.重新思考专业知识:专家表现的多因素基因-环境相互作用模型。
Psychol Bull. 2016 Apr;142(4):427-46. doi: 10.1037/bul0000033. Epub 2015 Dec 21.