Franke L, el Bannoudi H, Jansen DT, Kok K, Trynka G, Diogo D, Swertz M, Fransen K, Knevel R, Gutierrez-Achury J, Ärlestig L, Greenberg JD, Kremer J, Pappas DA, Kanterakis A, Weersma RK, van der Helm-van Mil AH, Guryev V, Rantapää-Dahlqvist S, Gregersen PK, Plenge RM, Wijmenga C, Huizinga TW, Ioan-Facsinay A, Toes RE, Zhernakova A
Eur. J. Hum. Genet. 24 (2) 263-270 [2016-02-00; online 2015-05-15]
Segmental duplications (SDs) comprise about 5% of the human genome and are enriched for immune genes. SD loci often show copy numbers variations (CNV), which are difficult to tag with genotyping methods. CNV in the Fcγ receptor region (FCGR) has been suggested to be associated with rheumatic diseases. The objective of this study was to delineate association of FCGR-CNV with rheumatoid arthritis (RA), coeliac disease and Inflammatory bowel disease incidence. We developed a method to accurately quantify CNV in SD loci based on the intensity values from the Immunochip platform and applied it to the FCGR locus. We determined the method's validity using three independent assays: segregation analysis in families, arrayCGH, and whole genome sequencing. Our data showed the presence of two separate CNVs in the FCGR locus. The first region encodes FCGR2A, FCGR3A and part of FCGR2C gene, the second encodes another part of FCGR2C, FCGR3B and FCGR2B. Analysis of CNV status in 4578 individuals with RA and 5457 controls indicated association of duplications in the FCGR3B gene in antibody-negative RA (P=0.002, OR=1.43). Deletion in FCGR3B was associated with increased risk of antibody-positive RA, consistently with previous reports (P=0.023, OR=1.23). A clear genotype-phenotype relationship was observed: CNV polymorphisms of the FCGR3A gene correlated to CD16A expression (encoded by FCGR3A) on CD8 T-cells. In conclusion, our method allows determining the CNV status of the FCGR locus, we identified association of CNV in FCGR3B to RA and showed a functional relationship between CNV in the FCGR3A gene and CD16A expression.
NGI Uppsala (SNP&SEQ Technology Platform) [Service]
National Genomics Infrastructure [Service]
PubMed 25966632
DOI 10.1038/ejhg.2015.95
Crossref 10.1038/ejhg.2015.95
pii: ejhg201595
pmc: PMC4717214