• Login
    View Item 
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Phenotypic and Genetic Characterization of Lower LDL Cholesterol and Increased Type 2 Diabetes Risk in the UK Biobank

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Phenotypic_and_Genetic_Charact ...
    Size:
    1.228Mb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Klimentidis, Yann C
    Arora, Amit
    Newell, Michelle
    Zhou, Jin
    Ordovas, Jose M
    Renquist, Benjamin J
    Wood, Alexis C
    Affiliation
    Univ Arizona, Dept Epidemiol & Biostat, Mel & Enid Zuckerman Coll Publ Hlth
    Univ Arizona, BIO5 Inst
    Univ Arizona, Sch Anim & Comparat Biomed Sci
    Issue Date
    2020-06-03
    
    Metadata
    Show full item record
    Publisher
    AMER DIABETES ASSOC
    Citation
    Klimentidis, Y. C., Arora, A., Newell, M., Zhou, J., Ordovas, J. M., Renquist, B. J., & Wood, A. C. (2020). Phenotypic and genetic characterization of lower LDL-C and increased type-2 diabetes risk in the UK Biobank. Diabetes, 69(10), 2194-2205. https://doi.org/10.2337/db19-1134
    Journal
    DIABETES
    Rights
    Copyright © 2020 by the American Diabetes Association.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Although hyperlipidemia is traditionally considered a risk factor for type 2 diabetes (T2D), evidence has emerged from statin trials and candidate gene investigations suggesting that lower LDL cholesterol (LDL-C) increases T2D risk. We thus sought to more comprehensively examine the phenotypic and genotypic relationships of LDL-C with T2D. Using data from the UK Biobank, we found that levels of circulating LDL-C were negatively associated with T2D prevalence (odds ratio 0.41 [95% CI 0.39, 0.43] per mmol/L unit of LDL-C), despite positive associations of circulating LDL-C with HbA1c and BMI. We then performed the first genome-wide exploration of variants simultaneously associated with lower circulating LDL-C and increased T2D risk, using data on LDL-C from the UK Biobank (n = 431,167) and the Global Lipids Genetics Consortium (n = 188,577), and data on T2D from the Diabetes Genetics Replication and Meta-Analysis consortium (n = 898,130). We identified 31 loci associated with lower circulating LDL-C and increased T2D, capturing several potential mechanisms. Seven of these loci have previously been identified for this dual phenotype, and nine have previously been implicated in nonalcoholic fatty liver disease. These findings extend our current understanding of the higher T2D risk among individuals with low circulating LDL-C and of the underlying mechanisms, including those responsible for the diabetogenic effect of LDL-C-lowering medications.
    ISSN
    0012-1797
    EISSN
    1939-327X
    PubMed ID
    32493714
    DOI
    10.2337/db19-1134
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.2337/db19-1134
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

    Related articles

    • Genetic Predisposition to Low-Density Lipoprotein Cholesterol and Incident Type 2 Diabetes.
    • Authors: Ravi A, Koyama S, Cho SMJ, Haidermota S, Hornsby W, Ellinor PT, Natarajan P
    • Issue date: 2025 Apr 1
    • Metabolic Traits and Stroke Risk in Individuals of African Ancestry: Mendelian Randomization Analysis.
    • Authors: Fatumo S, Karhunen V, Chikowore T, Sounkou T, Udosen B, Ezenwa C, Nakabuye M, Soremekun O, Daghlas I, Ryan DK, Taylor A, Mason AM, Damrauer SM, Vujkovic M, Keene KL, Fornage M, Järvelin MR, Burgess S, Gill D
    • Issue date: 2021 Aug
    • Association Between Low-Density Lipoprotein Cholesterol-Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis.
    • Authors: Lotta LA, Sharp SJ, Burgess S, Perry JRB, Stewart ID, Willems SM, Luan J, Ardanaz E, Arriola L, Balkau B, Boeing H, Deloukas P, Forouhi NG, Franks PW, Grioni S, Kaaks R, Key TJ, Navarro C, Nilsson PM, Overvad K, Palli D, Panico S, Quirós JR, Riboli E, Rolandsson O, Sacerdote C, Salamanca EC, Slimani N, Spijkerman AM, Tjonneland A, Tumino R, van der A DL, van der Schouw YT, McCarthy MI, Barroso I, O'Rahilly S, Savage DB, Sattar N, Langenberg C, Scott RA, Wareham NJ
    • Issue date: 2016 Oct 4
    • Using Genetic Variants to Assess the Relationship Between Circulating Lipids and Type 2 Diabetes.
    • Authors: Fall T, Xie W, Poon W, Yaghootkar H, Mägi R, GENESIS Consortium, Knowles JW, Lyssenko V, Weedon M, Frayling TM, Ingelsson E
    • Issue date: 2015 Jul
    • PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study.
    • Authors: Schmidt AF, Swerdlow DI, Holmes MV, Patel RS, Fairhurst-Hunter Z, Lyall DM, Hartwig FP, Horta BL, Hyppönen E, Power C, Moldovan M, van Iperen E, Hovingh GK, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Liu T, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott R, Luan J, Bobak M, Malyutina S, Pająk A, Kubinova R, Tamosiunas A, Pikhart H, Husemoen LL, Grarup N, Pedersen O, Hansen T, Linneberg A, Simonsen KS, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Kirchner HL, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H, LifeLines Cohort study group, Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dörr M, Lerch MM, Völker U, Völzke H, Ward J, Pell JP, Smith DJ, Meade T, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Balkau B, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Ridker PM, Chasman DI, Reiner AP, Lange LA, Ritchie MD, Asselbergs FW, Casas JP, Keating BJ, Preiss D, Hingorani AD, UCLEB consortium, Sattar N
    • Issue date: 2017 Feb
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.