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Association between low density lipoprotein and rheumatoid arthritis genetic factors with low density lipoprotein levels in rheumatoid arthritis and non-rheumatoid arthritis controls

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dc.contributor.author Liao, Katherine P.
dc.contributor.author Diogo, Dorothee
dc.contributor.author Cui, J.
dc.contributor.author Cai, T.
dc.contributor.author Okada, Y.
dc.contributor.author Gainer, Vivian
dc.contributor.author Murphy, Shawn N.
dc.contributor.author Gupta, N.
dc.contributor.author Mirel, D.
dc.contributor.author Ananthakrishnan, Ashwin N.
dc.contributor.author Shaw, S. Y.
dc.contributor.author Raychaudhuri, S.
dc.contributor.author Churchill, S.
dc.contributor.author Kohane, Isaac
dc.contributor.author Karlson, Elizabeth W.
dc.contributor.author Plenge, R. M.
dc.contributor.author Szolovits, Peter
dc.date.accessioned 2014-10-14T19:24:44Z
dc.date.available 2014-10-14T19:24:44Z
dc.date.issued 2013-05
dc.date.submitted 2013-05
dc.identifier.issn 0003-4967
dc.identifier.uri http://hdl.handle.net/1721.1/90917
dc.description.abstract Objectives: 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.sponsorship National Institutes of Health (U.S.) (Grant U54-LM008748) en_US
dc.language.iso en_US
dc.publisher BMJ Publishing Group en_US
dc.relation.isversionof http://dx.doi.org/10.1136/annrheumdis-2012-203202 en_US
dc.rights Creative Commons Attribution-Noncommercial-Share Alike en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/ en_US
dc.source PMC en_US
dc.title Association between low density lipoprotein and rheumatoid arthritis genetic factors with low density lipoprotein levels in rheumatoid arthritis and non-rheumatoid arthritis controls en_US
dc.type Article en_US
dc.identifier.citation Liao, 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.department Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science en_US
dc.contributor.department Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory en_US
dc.contributor.mitauthor Szolovits, Peter en_US
dc.relation.journal Annals of the Rheumatic Diseases en_US
dc.identifier.mitlicense OPEN_ACCESS_POLICY en_US
dc.eprint.version Author's final manuscript en_US
dc.type.uri http://purl.org/eprint/type/JournalArticle en_US
eprint.status http://purl.org/eprint/status/PeerReviewed en_US
dspace.orderedauthors Liao, 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.orcid https://orcid.org/0000-0001-8411-6403


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