IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i3p1352-d734116.html
   My bibliography  Save this article

Single Nucleotide Polymorphism of TWIST2 May Be a Modifier for the Association between High-Density Lipoprotein Cholesterol and Blood Lead (Pb) Level

Author

Listed:
  • Chen-Cheng Yang

    (Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
    Department of Occupational Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
    Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan)

  • Chia-Yen Dai

    (Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan)

  • Kuei-Hau Luo

    (Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan)

  • Kuo-Wei Lee

    (Department of Neurology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan)

  • Cheng-Hang Wu

    (Department of Family Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan)

  • Chih-Hsing Hung

    (Environmental and Occupational Medicine Center, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan)

  • Hung-Yi Chuang

    (Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
    Department of Public Health and Environmental Medicine, Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan)

  • Chao-Hung Kuo

    (Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan)

Abstract

The association between lead (Pb) exposure and lower high-density lipoprotein cholesterol (HDL-C) was reported; however, the mechanism was unclear. Our purpose was to investigate the association of Pb, lipid profile, and to study the associated SNPs using a genome-wide association study (GWAS). A total of 511 participants were recruited to check blood Pb levels, lipid profile, and genotypes with Taiwan Biobank version 2.0 (TWB2). Our main result shows that HDL-C was significantly negatively associated with blood Pb levels, adjusted for gender, body mass index (BMI), and potential confounders. In addition, via the TWB2 GWAS, only two SNPs were found, including rs150813626 (single-nucleotide variation in the TWIST2 gene on chromosome 2), and rs1983079 (unclear SNP on chromosome 3). Compared to the rs150813626 GG carriers, the AA and AG carriers were significantly and negatively associated with HDL-C. We analyzed the interaction of rs150813626 SNP and blood Pb, and the HDL-C was consistently and negatively associated with blood Pb, male, BMI, and the rs150813626 AA and AG carriers. Moreover, the rs150813626 AA and blood Pb interaction was significantly and positively associated with HDL-C. In conclusion, the SNPs rs150813626 and rs1983079 were significantly associated with HDL-C in Pb-exposed workers. Furthermore, the interaction of rs150813626 AA and blood Pb had a positive influence on HDL-C. TWIST may inhibit osteoblast maturation, which might relate to bone Pb deposition and calcium metabolism. The mechanism needs more investigation in the future.

Suggested Citation

  • Chen-Cheng Yang & Chia-Yen Dai & Kuei-Hau Luo & Kuo-Wei Lee & Cheng-Hang Wu & Chih-Hsing Hung & Hung-Yi Chuang & Chao-Hung Kuo, 2022. "Single Nucleotide Polymorphism of TWIST2 May Be a Modifier for the Association between High-Density Lipoprotein Cholesterol and Blood Lead (Pb) Level," IJERPH, MDPI, vol. 19(3), pages 1-10, January.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1352-:d:734116
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/3/1352/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/3/1352/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jian Yang & Ruth J. F. Loos & Joseph E. Powell & Sarah E. Medland & Elizabeth K. Speliotes & Daniel I. Chasman & Lynda M. Rose & Gudmar Thorleifsson & Valgerdur Steinthorsdottir & Reedik Mägi & Lindsa, 2012. "FTO genotype is associated with phenotypic variability of body mass index," Nature, Nature, vol. 490(7419), pages 267-272, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James P. Pirruccello & Paolo Achille & Seung Hoan Choi & Joel T. Rämö & Shaan Khurshid & Mahan Nekoui & Sean J. Jurgens & Victor Nauffal & Shinwan Kany & Kenney Ng & Samuel F. Friedman & Puneet Batra , 2024. "Deep learning of left atrial structure and function provides link to atrial fibrillation risk," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Kathryn E. Kemper & Julia Sidorenko & Huanwei Wang & Ben J. Hayes & Naomi R. Wray & Loic Yengo & Matthew C. Keller & Michael Goddard & Peter M. Visscher, 2024. "Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Robert F. Hillary & Danni A. Gadd & Zhana Kuncheva & Tasos Mangelis & Tinchi Lin & Kyle Ferber & Helen McLaughlin & Heiko Runz & Riccardo E. Marioni & Christopher N. Foley & Benjamin B. Sun, 2024. "Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    4. Kenneth E. Westerman & Timothy D. Majarian & Franco Giulianini & Dong-Keun Jang & Jenkai Miao & Jose C. Florez & Han Chen & Daniel I. Chasman & Miriam S. Udler & Alisa K. Manning & Joanne B. Cole, 2022. "Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Meghana Pagadala & Timothy J. Sears & Victoria H. Wu & Eva Pérez-Guijarro & Hyo Kim & Andrea Castro & James V. Talwar & Cristian Gonzalez-Colin & Steven Cao & Benjamin J. Schmiedel & Shervin Goudarzi , 2023. "Germline modifiers of the tumor immune microenvironment implicate drivers of cancer risk and immunotherapy response," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    6. Chen Wang & Tianying Wang & Krzysztof Kiryluk & Ying Wei & Hugues Aschard & Iuliana Ionita-Laza, 2024. "Genome-wide discovery for biomarkers using quantile regression at biobank scale," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1352-:d:734116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.