Associations between electronic devices use and common mental traits: A gene-environment interaction model using the UK Biobank data

被引:5
|
作者
Ye, Jing [1 ]
Cheng, Shiqiang [1 ]
Chu, Xiaomeng [1 ]
Wen, Yan [1 ]
Cheng, Bolun [1 ]
Liu, Li [1 ]
Liang, Chujun [1 ]
Kafle, Om Prakash [1 ]
Jia, Yumeng [1 ]
Wu, Cuiyan [1 ]
Wang, Sen [1 ]
Wang, Xi [1 ]
Ning, Yujie [1 ]
Zhang, Feng [1 ]
机构
[1] Xi An Jiao Tong Univ, Hlth Sci Ctr, Natl Hlth & Family Planning Commiss, Sch Publ Hlth,Key Lab Trace Elements & Endem Dis, Xian 710061, Peoples R China
关键词
alcohol drinking; anxiety; depression; electronic devices use; smoking; GENOME-WIDE ASSOCIATION; MAJOR DEPRESSION; HEALTH SURVEY; SUSCEPTIBILITY; HERITABILITY; TELEVISION; EXPRESSION; DISORDERS; BEHAVIORS; EPISTASIS;
D O I
10.1111/adb.13111
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background Electronic devices use has been reported to be associated with depression. However, limited effort has been provided to elucidate the associations between electronic devices use and mental traits in interaction with genetic factors. Methods We first conducted an observational study consisting of 138 976-383 742 participants for TV watching, 29 636-38 599 participants for computer using and 118 61-330 985 participants for computer playing in the UK Biobank cohort. A linear regression model was used to evaluate the associations between common mental traits and electronic devices use. Subsequently, a genome-wide gene-environment interaction study (GWEIS) was performed by PLINK2.0 to estimate the interaction effects of genes and electronic devices use on the risks of the four mental traits. Results In the UK Biobank cohort, significant associations were observed between electronic devices use and mental traits (all P < 1.0 x 10(-9)), including depression score (B = 0.094 for TV watching), anxiety score (B = 0.051 for TV watching), cigarette smoking (B = 0.046 for computer using) and alcohol drinking (B = 0.010 for computer playing). GWEIS identified multiple mental traits associated loci, interacting with electronic devices use, such as DCDC2 (rs115986722, P = 4.10 x 10(-10)) for anxiety score and TV watching, PRKCE (rs56181965, P = 9.64 x 10(-10)) for smoking and computer using and FRMD4A (rs56227933, P = 7.42 x 10(-11)) for depression score and computer playing. Conclusions Our findings suggested that electronic devices use was associated with common mental traits and provided new clues for understanding genetic architecture of mental traits.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] A Data-smoothing Approach to Graphical Displays and Testing of Gene-environment Interaction Using Data from Case-parent Trios
    Shin, Ji-Hyung
    Infante-Rivard, Claire
    McNeney, Brad
    Graham, Jinko
    GENETIC EPIDEMIOLOGY, 2012, 36 (07) : 760 - 760
  • [42] Using publicly available data to investigate causal associations between substance use and mental health
    Gage, S.
    Jones, H.
    Taylor, A.
    Zammit, S.
    Munafo, M.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2016, 26 : S57 - S58
  • [43] An Opportunity for Prevention: Associations Between the Life's Essential 8 Score and Cardiovascular Incidence Using Prospective Data from UK Biobank
    Petermann-Rocha, Fanny
    Deo, Salil
    Celis-Morales, Carlos
    Ho, Frederick K.
    Bahuguna, Pankaj
    McAllister, David
    Sattar, Naveed
    Pell, Jill P.
    CURRENT PROBLEMS IN CARDIOLOGY, 2023, 48 (04)
  • [44] Associations between primary care recorded cannabis use and mental ill health in the UK: a population-based retrospective cohort study using UK primary care data
    Keerthy, Deepiksana
    Chandan, Joht Singh
    Abramovaite, Juste
    Gokhale, Krishna Margadhamane
    Bandyopadhyay, Siddhartha
    Day, Ed
    Marwaha, Steven
    Broome, Matthew R.
    Nirantharakumar, Krishnarajah
    Humpston, Clara
    PSYCHOLOGICAL MEDICINE, 2023, 53 (05) : 2106 - 2115
  • [45] Detection of Epistatic and Gene-Environment Interactions Underlying Three Quality Traits in Rice Using High-Throughput Genome-Wide Data
    Xu, Haiming
    Jiang, Beibei
    Cao, Yujie
    Zhang, Yingxin
    Zhan, Xiaodeng
    Shen, Xihong
    Cheng, Shihua
    Lou, Xiangyang
    Cao, Liyong
    BIOMED RESEARCH INTERNATIONAL, 2015, 2015
  • [46] Gene-Environment Interaction between CD14/TLR4 Polymorphisms and Use of Antibiotics in Infancy increases the Risk of Allergic Diseases
    Park, K.
    Lee, H.
    Seo, J.
    Kim, H.
    Kang, M.
    Kwon, J.
    Song, Y.
    Kim, B.
    Lee, S.
    Hong, S.
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2012, 129 (02) : AB137 - AB137
  • [47] Analysis of Sex-Specific Gene-by-Cohort and Genetic Correlation-by-Cohort Interaction in Educational and Reproductive Outcomes Using the UK Biobank Data
    Zheng, Boyan
    Fletcher, Jason
    Song, Jie
    Lu, Qiongshi
    JOURNAL OF HEALTH AND SOCIAL BEHAVIOR, 2023,
  • [48] Fish oil supplementation modifies the associations between genetically predicted and observed concentrations of blood lipids: a cross-sectional gene-diet interaction study in UK Biobank
    Sun, Yitang
    Mcdonald, Tryggvi
    Baur, Abigail
    Xu, Huifang
    Bateman, Naveen Brahman
    Shen, Ye
    Li, Changwei
    Ye, Kaixiong
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2024, 120 (03): : 540 - 549
  • [49] The propensity for aggressive behavior and lifetime incarceration risk: A test for gene-environment interaction (G x E) using whole-genome data
    Barnes, J. C.
    Liu, Hexuan
    Motz, Ryan T.
    Tanksley, Peter T.
    Kail, Rachel
    Beckley, Amber L.
    Belsky, Daniel W.
    Domingue, Benjamin W.
    Moffitt, Terrie E.
    Pratt, Travis C.
    Wertz, Jasmin
    AGGRESSION AND VIOLENT BEHAVIOR, 2019, 49
  • [50] Associations between community cultural engagement and life satisfaction, mental distress and mental health functioning using data from the UK Household Longitudinal Study (UKHLS): are associations moderated by area deprivation?
    Mak, Hei Wan
    Coulter, Rory
    Fancourt, Daisy
    BMJ OPEN, 2021, 11 (09):