• 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

利用 GWAS 减法研究非认知技能的遗传结构。

Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction.

机构信息

Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, the Netherlands.

出版信息

Nat Genet. 2021 Jan;53(1):35-44. doi: 10.1038/s41588-020-00754-2. Epub 2021 Jan 7.

DOI:10.1038/s41588-020-00754-2
PMID:33414549
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC7116735/
Abstract

Little is known about the genetic architecture of traits affecting educational attainment other than cognitive ability. We used genomic structural equation modeling and prior genome-wide association studies (GWASs) of educational attainment (n = 1,131,881) and cognitive test performance (n = 257,841) to estimate SNP associations with educational attainment variation that is independent of cognitive ability. We identified 157 genome-wide-significant loci and a polygenic architecture accounting for 57% of genetic variance in educational attainment. Noncognitive genetics were enriched in the same brain tissues and cell types as cognitive performance, but showed different associations with gray-matter brain volumes. Noncognitive genetics were further distinguished by associations with personality traits, less risky behavior and increased risk for certain psychiatric disorders. For socioeconomic success and longevity, noncognitive and cognitive-performance genetics demonstrated associations of similar magnitude. By conducting a GWAS of a phenotype that was not directly measured, we offer a view of genetic architecture of noncognitive skills influencing educational success.

摘要

除了认知能力之外,人们对影响受教育程度的特征的遗传结构知之甚少。我们使用基因组结构方程模型和之前的全基因组关联研究(n=1,131,881 名受教育程度和 n=257,841 名认知测试表现)来估计与认知能力无关的受教育程度变化的 SNP 关联。我们确定了 157 个全基因组显著位点和一个多基因结构,解释了受教育程度遗传变异的 57%。非认知遗传学在与认知表现相同的大脑组织和细胞类型中得到了丰富,但与灰质脑容量的关联不同。非认知遗传学进一步通过与人格特质、较少的冒险行为和某些精神障碍的风险增加相关而得以区分。对于社会经济成功和长寿,非认知和认知表现遗传学的关联具有相似的重要性。通过对未直接测量的表型进行全基因组关联研究,我们提供了一个影响教育成功的非认知技能遗传结构的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/c7a9c35a986d/EMS114662-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/a1317b0b3600/EMS114662-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/d8d2aff5ee31/EMS114662-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/ecf66ff5e489/EMS114662-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/851fa9f1c13e/EMS114662-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/c7a9c35a986d/EMS114662-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/a1317b0b3600/EMS114662-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/d8d2aff5ee31/EMS114662-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/ecf66ff5e489/EMS114662-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/851fa9f1c13e/EMS114662-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19e/7116735/c7a9c35a986d/EMS114662-f005.jpg

相似文献

1
Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction.利用 GWAS 减法研究非认知技能的遗传结构。
Nat Genet. 2021 Jan;53(1):35-44. doi: 10.1038/s41588-020-00754-2. Epub 2021 Jan 7.
2
GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium.全基因组关联研究荟萃分析揭示了一般认知功能的新基因座和遗传关联:COGENT联盟的报告
Mol Psychiatry. 2017 Mar;22(3):336-345. doi: 10.1038/mp.2016.244. Epub 2017 Jan 17.
3
The Genetics of Success: How Single-Nucleotide Polymorphisms Associated With Educational Attainment Relate to Life-Course Development.成功的遗传学:与受教育程度相关的单核苷酸多态性如何与生命历程发展相关联。
Psychol Sci. 2016 Jul;27(7):957-72. doi: 10.1177/0956797616643070. Epub 2016 Jun 1.
4
Genome-wide association study of traumatic brain injury in U.S. military veterans enrolled in the VA million veteran program.在美国退伍军人事务部百万老兵计划中纳入的美国退伍军人创伤性脑损伤的全基因组关联研究。
Mol Psychiatry. 2024 Jan;29(1):97-111. doi: 10.1038/s41380-023-02304-8. Epub 2023 Oct 24.
5
Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151).英国生物银行中认知功能与受教育程度的全基因组关联研究(N = 112151)。
Mol Psychiatry. 2016 Jun;21(6):758-67. doi: 10.1038/mp.2016.45. Epub 2016 Apr 5.
6
Enrichment of genetic markers of recent human evolution in educational and cognitive traits.在教育和认知特征中富集近期人类进化的遗传标记。
Sci Rep. 2018 Aug 22;8(1):12585. doi: 10.1038/s41598-018-30387-9.
7
Charting the shared genetic architecture of Alzheimer's disease, cognition, and educational attainment, and associations with brain development.绘制阿尔茨海默病、认知和教育程度的共享遗传结构,以及与大脑发育的关联。
Neurobiol Dis. 2024 Dec;203:106750. doi: 10.1016/j.nbd.2024.106750. Epub 2024 Nov 27.
8
Dissecting the shared genetic basis of migraine and mental disorders using novel statistical tools.利用新型统计工具剖析偏头痛与精神障碍的共有遗传基础。
Brain. 2022 Mar 29;145(1):142-153. doi: 10.1093/brain/awab267.
9
Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment.一般认知能力与教育成就基因位点之间关联的独立证据。
Am J Med Genet B Neuropsychiatr Genet. 2015 Jul;168B(5):363-73. doi: 10.1002/ajmg.b.32319. Epub 2015 May 7.
10
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.

引用本文的文献

1
Disentangling multivariate relationships between cognition, language and social traits: structures of G, E, and .理清认知、语言和社会特质之间的多变量关系:G、E和……的结构
bioRxiv. 2025 Jul 29:2025.07.26.666154. doi: 10.1101/2025.07.26.666154.
2
Measurement characteristics and genome-wide correlates of lifetime brain atrophy estimated from a single MRI.通过单次磁共振成像(MRI)估计的终生脑萎缩的测量特征及全基因组相关性。
Nat Commun. 2025 Jul 21;16(1):6725. doi: 10.1038/s41467-025-61978-6.
3
Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.

本文引用的文献

1
Phenotypic Annotation: Using Polygenic Scores to Translate Discoveries From Genome-Wide Association Studies From the Top Down.表型注释:利用多基因评分从基因组全关联研究的发现进行自上而下的转化。
Curr Dir Psychol Sci. 2019 Feb;28(1):82-90. doi: 10.1177/0963721418807729. Epub 2019 Jan 9.
2
Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits.对 19629 个人进行全基因组关联分析,确定了影响区域脑容量的变异,并与认知和精神健康特征一起细化了它们的遗传共构。
Nat Genet. 2019 Nov;51(11):1637-1644. doi: 10.1038/s41588-019-0516-6. Epub 2019 Nov 1.
3
重新评估使用加权线性模型通过减法实现多代全基因组关联研究的有效性:对埃文斯等人的回应
BMC Res Notes. 2025 Jun 26;18(1):248. doi: 10.1186/s13104-025-07327-8.
4
Woolf et al's "GWAS by subtraction" is not useful for cross-generational Mendelian randomization studies.伍尔夫等人的“减法全基因组关联研究”对跨代孟德尔随机化研究并无用处。
BMC Res Notes. 2025 Jun 26;18(1):247. doi: 10.1186/s13104-025-07326-9.
5
The Role of SLC39A8.p.(Ala391Thr) in Schizophrenia Symptom Severity and Cognitive Ability: Cross-Sectional Studies of Schizophrenia and the General UK Population.溶质载体家族39成员8基因p.(丙氨酸391苏氨酸)在精神分裂症症状严重程度和认知能力中的作用:精神分裂症与英国普通人群的横断面研究
Am J Med Genet B Neuropsychiatr Genet. 2025 Jun 18:e33037. doi: 10.1002/ajmg.b.33037.
6
Preschool musicality is associated with school-age communication abilities through genes related to rhythmicity.学前音乐能力通过与节奏感相关的基因与学龄期的沟通能力相关联。
NPJ Sci Learn. 2025 Jun 13;10(1):39. doi: 10.1038/s41539-025-00329-y.
7
Predicting Thoracic Aortic Dissection in a Diverse Biobank Using a Polygenic Risk Score.使用多基因风险评分在多样化生物样本库中预测胸主动脉夹层。
JACC Adv. 2025 May;4(5):101743. doi: 10.1016/j.jacadv.2025.101743.
8
Stability of general cognitive ability from infancy to adulthood: A combined twin and genomic investigation.从婴儿期到成年期一般认知能力的稳定性:一项双胞胎与基因组联合研究。
Proc Natl Acad Sci U S A. 2025 May 27;122(21):e2426531122. doi: 10.1073/pnas.2426531122. Epub 2025 May 19.
9
Genome-wide association studies of binge eating behaviour and anorexia nervosa yield insights into the unique and shared biology of eating disorder phenotypes.暴饮暴食行为和神经性厌食症的全基因组关联研究揭示了饮食失调表型的独特和共同生物学机制。
medRxiv. 2025 May 8:2025.01.31.25321397. doi: 10.1101/2025.01.31.25321397.
10
Reproductive and cognitive phenotypes in carriers of recessive pathogenic variants.隐性致病变异携带者的生殖和认知表型
Nat Hum Behav. 2025 May 15. doi: 10.1038/s41562-025-02204-7.
Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health traits (n = 17,706).
大规模全基因组关联研究揭示了脑白质微观结构的遗传结构以及与认知和精神健康特征的遗传重叠 (n = 17,706)。
Mol Psychiatry. 2021 Aug;26(8):3943-3955. doi: 10.1038/s41380-019-0569-z. Epub 2019 Oct 30.
4
The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs.荷兰双胞胎登记处:基于双胞胎和双胞胎家庭设计的纵向研究。
Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31.
5
Analysis of polygenic risk score usage and performance in diverse human populations.多基因风险评分在不同人群中的使用和表现分析。
Nat Commun. 2019 Jul 25;10(1):3328. doi: 10.1038/s41467-019-11112-0.
6
Cohort Profile: The National Longitudinal Study of Adolescent to Adult Health (Add Health).队列简介:青少年到成人健康的全国纵向研究(“加健康”研究)
Int J Epidemiol. 2019 Oct 1;48(5):1415-1415k. doi: 10.1093/ije/dyz115.
7
Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits.基因组结构方程模型为复杂性状的多变量遗传结构提供了深入的了解。
Nat Hum Behav. 2019 May;3(5):513-525. doi: 10.1038/s41562-019-0566-x. Epub 2019 Apr 8.
8
Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.对 1331010 个人的失眠进行全基因组分析,确定了新的风险基因座和功能途径。
Nat Genet. 2019 Mar;51(3):394-403. doi: 10.1038/s41588-018-0333-3. Epub 2019 Feb 25.
9
Identification of common genetic risk variants for autism spectrum disorder.孤独症谱系障碍常见遗传风险变异的鉴定。
Nat Genet. 2019 Mar;51(3):431-444. doi: 10.1038/s41588-019-0344-8. Epub 2019 Feb 25.
10
Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences.对超过 100 万人的风险容忍度和冒险行为进行全基因组关联分析,确定了数百个位点和共同的遗传影响。
Nat Genet. 2019 Feb;51(2):245-257. doi: 10.1038/s41588-018-0309-3. Epub 2019 Jan 14.