Role of polygenic risk scores in the association between chronotype and health risk behaviors

被引:1
|
作者
Zhang, Yi [1 ,2 ,3 ]
Li, Shuqin [1 ,2 ,3 ]
Xie, Yang [1 ,2 ,3 ]
Xiao, Wan [1 ,2 ,3 ]
Xu, Huiqiong [1 ,2 ,3 ]
Jin, Zhengge [1 ,2 ,3 ]
Li, Ruoyu [1 ,2 ,3 ]
Wan, Yuhui [1 ,2 ,3 ]
Tao, Fangbiao [1 ,2 ,3 ]
机构
[1] Anhui Med Univ, Sch Publ Hlth, Dept Maternal Child & Adolescent Hlth, 81 Meishan Rd, Hefei 230032, Anhui, Peoples R China
[2] NHC Key Lab Study Abnormal Gametes & Reprod Tract, 81 Meishan Rd, Hefei 230032, Anhui, Peoples R China
[3] MOE Key Lab Populat Hlth Life Cycle, 81 Meishan Rd, Hefei 230032, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Health risk behaviors; CLOCK-PRS; Chronotype; Gene-environment; MORNINGNESS-EVENINGNESS; INSTRUMENTAL VARIABLES; GENDER-DIFFERENCES; DEPRESSION; POLYMORPHISMS; DISORDER; STRESS; CLOCK; METAANALYSIS; PREDICTION;
D O I
10.1186/s12888-023-05337-z
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BackgroundThis study explores the association between chronotypes and adolescent health risk behaviors (HRBs) by testing how genetic background moderates these associations and clarifies the influence of chronotypes and polygenic risk score (PRS) on adolescent HRBs.MethodsUsing VOS-viewer software to select the corresponding data, this study used knowledge domain mapping to identify and develop the research direction with respect to adolescent risk factor type. Next, DNA samples from 264 students were collected for low-depth whole-genome sequencing. The sequencing detected HRB risk loci, 49 single nucleotide polymorphisms based to significant SNP. Subsequently, PRSs were assessed and divided into low, moderate, and high genetic risk according to the tertiles and chronotypes and interaction models were constructed to evaluate the association of interaction effect and clustering of adolescent HRBs. The chronotypes and the association between CLOCK-PRS and HRBs were examined to explore the association between chronotypes and mental health and circadian CLOCK-PRS and HRBs.ResultsFour prominent areas were displayed by clustering information fields in network and density visualization modes in VOS-viewer. The total score of evening chronotypes correlated with high-level clustering of HRBs in adolescents, co-occurrence, and mental health, and the difference was statistically significant. After controlling covariates, the results remained consistent. Three-way interactions between chronotype, age, and mental health were observed, and the differences were statistically significant. CLOCK-PRS was constructed to identify genetic susceptibility to the clustering of HRBs. The interaction of evening chronotypes and high genetic risk CLOCK-PRS was positively correlated with high-level clustering of HRBs and HRB co-occurrence in adolescents, and the difference was statistically significant. The interaction between the sub-dimensions of evening chronotypes and the high genetic CLOCK-PRS risk correlated with the outcome of the clustering of HRBs and HRB co-occurrence.ConclusionsThe interaction of PRS and chronotype and the HRBs in adolescents appear to have an association, and the three-way interaction between the CLOCK-PRS, chronotype, and mental health plays important roles for HRBs in adolescents.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Evaluating risk for alcohol use disorder: Polygenic risk scores and family history
    Lai, Dongbing
    Johnson, Emma C.
    Colbert, Sarah
    Pandey, Gayathri
    Chan, Grace
    Bauer, Lance
    Francis, Meredith W.
    Hesselbrock, Victor
    Kamarajan, Chella
    Kramer, John
    Kuang, Weipeng
    Kuo, Sally
    Kuperman, Samuel
    Liu, Yunlong
    McCutcheon, Vivia
    Pang, Zhiping
    Plawecki, Martin H.
    Schuckit, Marc
    Tischfield, Jay
    Wetherill, Leah
    Zang, Yong
    Edenberg, Howard J.
    Porjesz, Bernice
    Agrawal, Arpana
    Foroud, Tatiana
    ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, 2022, 46 (03): : 374 - 383
  • [22] The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores
    Page, Madeline L.
    Vance, Elizabeth L.
    Cloward, Matthew E.
    Ringger, Ed
    Dayton, Louisa
    Ebbert, Mark T. W.
    Miller, Justin B.
    Kauwe, John S. K.
    COMMUNICATIONS BIOLOGY, 2022, 5 (01) : 899
  • [23] Correlation between polygenic risk scores of depression and cortical morphology networks
    Gong, Qian
    Wang, Wei
    Nie, Zhaowen
    Ma, Simeng
    Zhou, Enqi
    Deng, Zipeng
    Xie, Xin-hui
    Lyu, Honggang
    Chen, Mian-mian
    Kang, Lijun
    Liu, Zhongchun
    JOURNAL OF PSYCHIATRY & NEUROSCIENCE, 2025, 50 (01): : E21 - E30
  • [24] Association between Child Abuse and Health Risk Behaviors among Chinese College Students
    Chen, Yi-lin
    Liu, Xing
    Huang, Yao
    Yu, Hong-jie
    Yuan, Shuai
    Ye, Yong-ling
    Li, Qing-xiao
    He, Qi-qiang
    JOURNAL OF CHILD AND FAMILY STUDIES, 2017, 26 (05) : 1380 - 1387
  • [25] Assessing agreement between different polygenic risk scores in the UK Biobank
    Clifton, Lei
    Collister, Jennifer A.
    Liu, Xiaonan
    Littlejohns, Thomas J.
    Hunter, David J.
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [26] Association between depression and health risk behaviors among university students, Karachi, Pakistan
    Rehman, Rehana
    Fatima, Kiran
    Hussain, Mehwish
    Sarim, Mohammad
    Gazzaz, Zohair Jamil
    Baig, Mukhtiar
    COGENT PSYCHOLOGY, 2021, 8 (01):
  • [27] Risk Stratification and Clinical Utility of Polygenic Risk Scores in Ophthalmology
    Qassim, Ayub
    Souzeau, Emmanuelle
    Hollitt, Georgie
    Hassall, Mark M.
    Siggs, Owen M.
    Craig, Jamie E.
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2021, 10 (06):
  • [28] Polygenic risk scores in the clinic: Translating risk into action COMMENT
    Lewis, Anna C. F.
    Green, Robert C.
    Vassy, Jason L.
    HUMAN GENETICS AND GENOMICS ADVANCES, 2021, 2 (04):
  • [29] Polygenic Risk Scores in Prostate Cancer Risk Assessment and Screening
    Byrne, Lindsey
    Toland, Amanda Ewart
    UROLOGIC CLINICS OF NORTH AMERICA, 2021, 48 (03) : 387 - 399
  • [30] Association of maternal polygenic risk scores for mental illness with perinatal risk factors for offspring mental illness
    Ratanatharathorn, Andrew
    Chibnik, Lori B.
    Koenen, Karestan C.
    Weisskopf, Marc G.
    Roberts, Andrea L.
    SCIENCE ADVANCES, 2022, 8 (50)