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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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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. |
format | Online Article Text |
id | pubmed-3948067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
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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