Cargando…

Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families

We applied nonparametric quantitative trait linkage analysis to two rheumatoid arthritis quantitative phenotypes, IgM rheumatoid factor (RF) and anti-cyclic citrullinated peptide autoantibody titer measurements, using 5700 genome-wide Illumina single-nucleotide polymorphism genotypes on 658 Caucasia...

Descripción completa

Detalles Bibliográficos
Autores principales: Taylor, Kimberly E, Chen, Wei, Amos, Christopher I, Criswell, Lindsey A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367581/
https://www.ncbi.nlm.nih.gov/pubmed/18466445
_version_ 1782154326370680832
author Taylor, Kimberly E
Chen, Wei
Amos, Christopher I
Criswell, Lindsey A
author_facet Taylor, Kimberly E
Chen, Wei
Amos, Christopher I
Criswell, Lindsey A
author_sort Taylor, Kimberly E
collection PubMed
description We applied nonparametric quantitative trait linkage analysis to two rheumatoid arthritis quantitative phenotypes, IgM rheumatoid factor (RF) and anti-cyclic citrullinated peptide autoantibody titer measurements, using 5700 genome-wide Illumina single-nucleotide polymorphism genotypes on 658 Caucasian North American Rheumatoid Arthritis Consortium families. Peak LOD scores for both quantitative traits were located in the human leukocyte antigen region 6p21 (15.8 and 13.8 for RF and anti-cyclic citrullinated peptide, respectively) followed by 11p12 (3.2 and 3.6). In addition, there were LOD scores of 3.2 on 2q32 for RF and 3.6 on 4q24 for anti-cyclic citrullinated peptide. The resulting linkage signals for both phenotypes are very similar to previous results for rheumatoid arthritis as a qualitative variable, with rheumatoid factor measurements being most closely aligned. Interestingly, anti-cyclic citrullinated peptide exhibits a stronger linkage peak on 2p14 than rheumatoid factor and rheumatoid arthritis, and stronger linkage on 4q24. Finally, we used ordered subset analyses to determine if sub-ranges of these two traits increased rheumatoid arthritis linkage signals; however, our analyses did not reveal significant effects of the quantitative traits on rheumatoid arthritis linkage signals in this population.
format Text
id pubmed-2367581
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-23675812008-05-06 Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families Taylor, Kimberly E Chen, Wei Amos, Christopher I Criswell, Lindsey A BMC Proc Proceedings We applied nonparametric quantitative trait linkage analysis to two rheumatoid arthritis quantitative phenotypes, IgM rheumatoid factor (RF) and anti-cyclic citrullinated peptide autoantibody titer measurements, using 5700 genome-wide Illumina single-nucleotide polymorphism genotypes on 658 Caucasian North American Rheumatoid Arthritis Consortium families. Peak LOD scores for both quantitative traits were located in the human leukocyte antigen region 6p21 (15.8 and 13.8 for RF and anti-cyclic citrullinated peptide, respectively) followed by 11p12 (3.2 and 3.6). In addition, there were LOD scores of 3.2 on 2q32 for RF and 3.6 on 4q24 for anti-cyclic citrullinated peptide. The resulting linkage signals for both phenotypes are very similar to previous results for rheumatoid arthritis as a qualitative variable, with rheumatoid factor measurements being most closely aligned. Interestingly, anti-cyclic citrullinated peptide exhibits a stronger linkage peak on 2p14 than rheumatoid factor and rheumatoid arthritis, and stronger linkage on 4q24. Finally, we used ordered subset analyses to determine if sub-ranges of these two traits increased rheumatoid arthritis linkage signals; however, our analyses did not reveal significant effects of the quantitative traits on rheumatoid arthritis linkage signals in this population. BioMed Central 2007-12-18 /pmc/articles/PMC2367581/ /pubmed/18466445 Text en Copyright © 2007 Taylor et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Taylor, Kimberly E
Chen, Wei
Amos, Christopher I
Criswell, Lindsey A
Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families
title Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families
title_full Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families
title_fullStr Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families
title_full_unstemmed Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families
title_short Genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in Caucasian NARAC families
title_sort genome-wide single-nucleotide polymorphism linkage analyses of quantitative rheumatoid arthritis phenotypes in caucasian narac families
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367581/
https://www.ncbi.nlm.nih.gov/pubmed/18466445
work_keys_str_mv AT taylorkimberlye genomewidesinglenucleotidepolymorphismlinkageanalysesofquantitativerheumatoidarthritisphenotypesincaucasiannaracfamilies
AT chenwei genomewidesinglenucleotidepolymorphismlinkageanalysesofquantitativerheumatoidarthritisphenotypesincaucasiannaracfamilies
AT amoschristopheri genomewidesinglenucleotidepolymorphismlinkageanalysesofquantitativerheumatoidarthritisphenotypesincaucasiannaracfamilies
AT criswelllindseya genomewidesinglenucleotidepolymorphismlinkageanalysesofquantitativerheumatoidarthritisphenotypesincaucasiannaracfamilies