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Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation

Systemic lupus erythematous (SLE) is a chronic autoimmune disease associated with genetic and environmental risk factors. However, the extent to which genetic risk is causally associated with disease activity is unknown. We utilized longitudinal targeted maximum likelihood estimation to estimate the...

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Autores principales: Gianfrancesco, Milena A., Balzer, Laura, Taylor, Kimberly E., Trupin, Laura, Nititham, Joanne, Seldin, Michael F., Singer, Amanda Wheeler, Criswell, Lindsey A., Barcellos, Lisa F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008986/
https://www.ncbi.nlm.nih.gov/pubmed/27467283
http://dx.doi.org/10.1038/gene.2016.33
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author Gianfrancesco, Milena A.
Balzer, Laura
Taylor, Kimberly E.
Trupin, Laura
Nititham, Joanne
Seldin, Michael F.
Singer, Amanda Wheeler
Criswell, Lindsey A.
Barcellos, Lisa F.
author_facet Gianfrancesco, Milena A.
Balzer, Laura
Taylor, Kimberly E.
Trupin, Laura
Nititham, Joanne
Seldin, Michael F.
Singer, Amanda Wheeler
Criswell, Lindsey A.
Barcellos, Lisa F.
author_sort Gianfrancesco, Milena A.
collection PubMed
description Systemic lupus erythematous (SLE) is a chronic autoimmune disease associated with genetic and environmental risk factors. However, the extent to which genetic risk is causally associated with disease activity is unknown. We utilized longitudinal targeted maximum likelihood estimation to estimate the causal association between a genetic risk score (GRS) comprised of 41 established SLE variants and clinically important disease activity as measured by the validated systemic lupus activity questionnaire (SLAQ) in a multi-ethnic cohort of 942 individuals with SLE. We did not find evidence of a clinically important SLAQ score difference (> 4.0) for individuals with a high GRS compared to those with a low GRS across nine timepoints after controlling for sex, ancestry, renal status, dialysis, disease duration, treatment, depression, smoking, and education, as well as time-dependent confounding of missing visits. Individual SNP analyses revealed that 12 of the 41 variants were significantly associated with clinically relevant changes in SLAQ scores across timepoints 8 and 9 after controlling for multiple testing. Results based on sophisticated causal modeling of longitudinal data in a large patient cohort suggest that individual SLE risk variants may influence disease activity over time. Our findings also emphasize a role for other biological or environmental factors.
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spelling pubmed-50089862017-01-28 Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation Gianfrancesco, Milena A. Balzer, Laura Taylor, Kimberly E. Trupin, Laura Nititham, Joanne Seldin, Michael F. Singer, Amanda Wheeler Criswell, Lindsey A. Barcellos, Lisa F. Genes Immun Article Systemic lupus erythematous (SLE) is a chronic autoimmune disease associated with genetic and environmental risk factors. However, the extent to which genetic risk is causally associated with disease activity is unknown. We utilized longitudinal targeted maximum likelihood estimation to estimate the causal association between a genetic risk score (GRS) comprised of 41 established SLE variants and clinically important disease activity as measured by the validated systemic lupus activity questionnaire (SLAQ) in a multi-ethnic cohort of 942 individuals with SLE. We did not find evidence of a clinically important SLAQ score difference (> 4.0) for individuals with a high GRS compared to those with a low GRS across nine timepoints after controlling for sex, ancestry, renal status, dialysis, disease duration, treatment, depression, smoking, and education, as well as time-dependent confounding of missing visits. Individual SNP analyses revealed that 12 of the 41 variants were significantly associated with clinically relevant changes in SLAQ scores across timepoints 8 and 9 after controlling for multiple testing. Results based on sophisticated causal modeling of longitudinal data in a large patient cohort suggest that individual SLE risk variants may influence disease activity over time. Our findings also emphasize a role for other biological or environmental factors. 2016-07-28 2016-09 /pmc/articles/PMC5008986/ /pubmed/27467283 http://dx.doi.org/10.1038/gene.2016.33 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Gianfrancesco, Milena A.
Balzer, Laura
Taylor, Kimberly E.
Trupin, Laura
Nititham, Joanne
Seldin, Michael F.
Singer, Amanda Wheeler
Criswell, Lindsey A.
Barcellos, Lisa F.
Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation
title Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation
title_full Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation
title_fullStr Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation
title_full_unstemmed Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation
title_short Genetic Risk and Longitudinal Disease Activity in Systemic Lupus Erythematosus Using Targeted Maximum Likelihood Estimation
title_sort genetic risk and longitudinal disease activity in systemic lupus erythematosus using targeted maximum likelihood estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008986/
https://www.ncbi.nlm.nih.gov/pubmed/27467283
http://dx.doi.org/10.1038/gene.2016.33
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