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dc.contributor.authorLiao, Katherine P.
dc.contributor.authorDiogo, Dorothee
dc.contributor.authorCui, J.
dc.contributor.authorCai, T.
dc.contributor.authorOkada, Y.
dc.contributor.authorGainer, Vivian
dc.contributor.authorMurphy, Shawn N.
dc.contributor.authorGupta, N.
dc.contributor.authorMirel, D.
dc.contributor.authorAnanthakrishnan, Ashwin N.
dc.contributor.authorShaw, S. Y.
dc.contributor.authorRaychaudhuri, S.
dc.contributor.authorChurchill, S.
dc.contributor.authorKohane, Isaac
dc.contributor.authorKarlson, Elizabeth W.
dc.contributor.authorPlenge, R. M.
dc.contributor.authorSzolovits, Peter
dc.date.accessioned2014-10-14T19:24:44Z
dc.date.available2014-10-14T19:24:44Z
dc.date.issued2013-05
dc.date.submitted2013-05
dc.identifier.issn0003-4967
dc.identifier.urihttp://hdl.handle.net/1721.1/90917
dc.description.abstractObjectives: While genetic determinants of low density lipoprotein (LDL) cholesterol levels are well characterised in the general population, they are understudied in rheumatoid arthritis (RA). Our objective was to determine the association of established LDL and RA genetic alleles with LDL levels in RA cases compared with non-RA controls. Methods: Using data from electronic medical records, we linked validated RA cases and non-RA controls to discarded blood samples. For each individual, we extracted data on: first LDL measurement, age, gender and year of LDL measurement. We genotyped subjects for 11 LDL and 44 non-HLA RA alleles, and calculated RA and LDL genetic risk scores (GRS). We tested the association between each GRS and LDL level using multivariate linear regression models adjusted for age, gender, year of LDL measurement and RA status. Results: Among 567 RA cases and 979 controls, 80% were female and mean age at the first LDL measurement was 55 years. RA cases had significantly lower mean LDL levels than controls (117.2 vs 125.6 mg/dl, respectively, p<0.0001). Each unit increase in LDL GRS was associated with 0.8 mg/dl higher LDL levels in both RA cases and controls (p=3.0×10[superscript −7]). Each unit increase in RA GRS was associated with 4.3 mg/dl lower LDL levels in both groups (p=0.01). Conclusions: LDL alleles were associated with higher LDL levels in RA. RA alleles were associated with lower LDL levels in both RA cases and controls. As RA cases carry more RA alleles, these findings suggest a genetic basis for epidemiological observations of lower LDL levels in RA.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant U54-LM008748)en_US
dc.language.isoen_US
dc.publisherBMJ Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1136/annrheumdis-2012-203202en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleAssociation between low density lipoprotein and rheumatoid arthritis genetic factors with low density lipoprotein levels in rheumatoid arthritis and non-rheumatoid arthritis controlsen_US
dc.typeArticleen_US
dc.identifier.citationLiao, K. P., D. Diogo, J. Cui, T. Cai, Y. Okada, V. S. Gainer, S. N. Murphy, et al. “Association Between Low Density Lipoprotein and Rheumatoid Arthritis Genetic Factors with Low Density Lipoprotein Levels in Rheumatoid Arthritis and Non-Rheumatoid Arthritis Controls.” Annals of the Rheumatic Diseases 73, no. 6 (May 28, 2013): 1170–1175.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorSzolovits, Peteren_US
dc.relation.journalAnnals of the Rheumatic Diseasesen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLiao, K. P.; Diogo, D.; Cui, J.; Cai, T.; Okada, Y.; Gainer, V. S.; Murphy, S. N.; Gupta, N.; Mirel, D.; Ananthakrishnan, A. N.; Szolovits, P.; Shaw, S. Y.; Raychaudhuri, S.; Churchill, S.; Kohane, I.; Karlson, E. W.; Plenge, R. M.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8411-6403
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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