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The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA

OBJECTIVE: To study genetic factors that influence quantitative anti-cyclic citrullinated peptide (anti-CCP) antibody levels in RA patients. METHODS: We carried out a genome wide association study (GWAS) meta-analysis using 1,975 anti-CCP+ RA patients from 3 large cohorts, the Brigham Rheumatoid Art...

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Autores principales: Cui, Jing, Taylor, Kimberly E., Lee, Yvonne C., Källberg, Henrik, Weinblatt, Michael E., Coblyn, Jonathan S., Klareskog, Lars, Criswell, Lindsey A., Gregersen, Peter K., Shadick, Nancy A., Plenge, Robert M., Karlson, Elizabeth W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948067/
https://www.ncbi.nlm.nih.gov/pubmed/24385024
http://dx.doi.org/10.1038/gene.2013.68
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author Cui, Jing
Taylor, Kimberly E.
Lee, Yvonne C.
Källberg, Henrik
Weinblatt, Michael E.
Coblyn, Jonathan S.
Klareskog, Lars
Criswell, Lindsey A.
Gregersen, Peter K.
Shadick, Nancy A.
Plenge, Robert M.
Karlson, Elizabeth W.
author_facet Cui, Jing
Taylor, Kimberly E.
Lee, Yvonne C.
Källberg, Henrik
Weinblatt, Michael E.
Coblyn, Jonathan S.
Klareskog, Lars
Criswell, Lindsey A.
Gregersen, Peter K.
Shadick, Nancy A.
Plenge, Robert M.
Karlson, Elizabeth W.
author_sort Cui, Jing
collection PubMed
description OBJECTIVE: To study genetic factors that influence quantitative anti-cyclic citrullinated peptide (anti-CCP) antibody levels in RA patients. METHODS: We carried out a genome wide association study (GWAS) meta-analysis using 1,975 anti-CCP+ RA patients from 3 large cohorts, the Brigham Rheumatoid Arthritis Sequential Study (BRASS), North American Rheumatoid Arthritis Consortium (NARAC), and the Epidemiological Investigation of RA (EIRA). We also carried out a genome-wide complex trait analysis (GCTA) to estimate the heritability of anti-CCP levels. RESULTS: GWAS-meta analysis showed that anti-CCP levels were most strongly associated with the human leukocyte antigen (HLA) region with a p-value of 2×10(−11) for rs1980493. There were 112 SNPs in this region that exceeded the genome-wide significance threshold of 5×10(−8), and all were in linkage disequilibrium (LD) with the HLA- DRB1*03 allele with LD r(2) in the range of 0.25-0.88. Suggestive novel associations outside of the HLA region were also observed for rs8063248 (near the GP2 gene) with a p-value of 3×10(−7). None of the known RA risk alleles (~52 loci) were associated with anti-CCP level. Heritability analysis estimated that 44% of anti-CCP variation was attributable to genetic factors captured by GWAS variants. CONCLUSIONS: Anti-CCP level is a heritable trait. HLA-DR3 and GP2 are associated with lower anti-CCP levels.
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spelling pubmed-39480672014-09-01 The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA Cui, Jing Taylor, Kimberly E. Lee, Yvonne C. Källberg, Henrik Weinblatt, Michael E. Coblyn, Jonathan S. Klareskog, Lars Criswell, Lindsey A. Gregersen, Peter K. Shadick, Nancy A. Plenge, Robert M. Karlson, Elizabeth W. Genes Immun Article OBJECTIVE: To study genetic factors that influence quantitative anti-cyclic citrullinated peptide (anti-CCP) antibody levels in RA patients. METHODS: We carried out a genome wide association study (GWAS) meta-analysis using 1,975 anti-CCP+ RA patients from 3 large cohorts, the Brigham Rheumatoid Arthritis Sequential Study (BRASS), North American Rheumatoid Arthritis Consortium (NARAC), and the Epidemiological Investigation of RA (EIRA). We also carried out a genome-wide complex trait analysis (GCTA) to estimate the heritability of anti-CCP levels. RESULTS: GWAS-meta analysis showed that anti-CCP levels were most strongly associated with the human leukocyte antigen (HLA) region with a p-value of 2×10(−11) for rs1980493. There were 112 SNPs in this region that exceeded the genome-wide significance threshold of 5×10(−8), and all were in linkage disequilibrium (LD) with the HLA- DRB1*03 allele with LD r(2) in the range of 0.25-0.88. Suggestive novel associations outside of the HLA region were also observed for rs8063248 (near the GP2 gene) with a p-value of 3×10(−7). None of the known RA risk alleles (~52 loci) were associated with anti-CCP level. Heritability analysis estimated that 44% of anti-CCP variation was attributable to genetic factors captured by GWAS variants. CONCLUSIONS: Anti-CCP level is a heritable trait. HLA-DR3 and GP2 are associated with lower anti-CCP levels. 2014-01-02 2014-03 /pmc/articles/PMC3948067/ /pubmed/24385024 http://dx.doi.org/10.1038/gene.2013.68 Text en Users may view, print, copy, download and 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
Cui, Jing
Taylor, Kimberly E.
Lee, Yvonne C.
Källberg, Henrik
Weinblatt, Michael E.
Coblyn, Jonathan S.
Klareskog, Lars
Criswell, Lindsey A.
Gregersen, Peter K.
Shadick, Nancy A.
Plenge, Robert M.
Karlson, Elizabeth W.
The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA
title The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA
title_full The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA
title_fullStr The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA
title_full_unstemmed The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA
title_short The Influence of Polygenic Risk Scores on Heritability of Anti-CCP Level in RA
title_sort influence of polygenic risk scores on heritability of anti-ccp level in ra
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948067/
https://www.ncbi.nlm.nih.gov/pubmed/24385024
http://dx.doi.org/10.1038/gene.2013.68
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