PLoS ONE (Jan 2014)

Integration of sequence data from a Consanguineous family with genetic data from an outbred population identifies PLB1 as a candidate rheumatoid arthritis risk gene.

  • Yukinori Okada,
  • Dorothee Diogo,
  • Jeffrey D Greenberg,
  • Faten Mouassess,
  • Walid A L Achkar,
  • Robert S Fulton,
  • Joshua C Denny,
  • Namrata Gupta,
  • Daniel Mirel,
  • Stacy Gabriel,
  • Gang Li,
  • Joel M Kremer,
  • Dimitrios A Pappas,
  • Robert J Carroll,
  • Anne E Eyler,
  • Gosia Trynka,
  • Eli A Stahl,
  • Jing Cui,
  • Richa Saxena,
  • Marieke J H Coenen,
  • Henk-Jan Guchelaar,
  • Tom W J Huizinga,
  • Philippe Dieudé,
  • Xavier Mariette,
  • Anne Barton,
  • Helena Canhão,
  • João E Fonseca,
  • Niek de Vries,
  • Paul P Tak,
  • Larry W Moreland,
  • S Louis Bridges,
  • Corinne Miceli-Richard,
  • Hyon K Choi,
  • Yoichiro Kamatani,
  • Pilar Galan,
  • Mark Lathrop,
  • Towfique Raj,
  • Philip L De Jager,
  • Soumya Raychaudhuri,
  • Jane Worthington,
  • Leonid Padyukov,
  • Lars Klareskog,
  • Katherine A Siminovitch,
  • Peter K Gregersen,
  • Elaine R Mardis,
  • Thurayya Arayssi,
  • Layla A Kazkaz,
  • Robert M Plenge

DOI
https://doi.org/10.1371/journal.pone.0087645
Journal volume & issue
Vol. 9, no. 2
p. e87645

Abstract

Read online

Integrating genetic data from families with highly penetrant forms of disease together with genetic data from outbred populations represents a promising strategy to uncover the complete frequency spectrum of risk alleles for complex traits such as rheumatoid arthritis (RA). Here, we demonstrate that rare, low-frequency and common alleles at one gene locus, phospholipase B1 (PLB1), might contribute to risk of RA in a 4-generation consanguineous pedigree (Middle Eastern ancestry) and also in unrelated individuals from the general population (European ancestry). Through identity-by-descent (IBD) mapping and whole-exome sequencing, we identified a non-synonymous c.2263G>C (p.G755R) mutation at the PLB1 gene on 2q23, which significantly co-segregated with RA in family members with a dominant mode of inheritance (P = 0.009). We further evaluated PLB1 variants and risk of RA using a GWAS meta-analysis of 8,875 RA cases and 29,367 controls of European ancestry. We identified significant contributions of two independent non-coding variants near PLB1 with risk of RA (rs116018341 [MAF = 0.042] and rs116541814 [MAF = 0.021], combined P = 3.2 × 10(-6)). Finally, we performed deep exon sequencing of PLB1 in 1,088 RA cases and 1,088 controls (European ancestry), and identified suggestive dispersion of rare protein-coding variant frequencies between cases and controls (P = 0.049 for C-alpha test and P = 0.055 for SKAT). Together, these data suggest that PLB1 is a candidate risk gene for RA. Future studies to characterize the full spectrum of genetic risk in the PLB1 genetic locus are warranted.