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


ABSTRACT: 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.

SUBMITTER: Okada Y 

PROVIDER: S-EPMC3919745 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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

Okada Yukinori Y   Diogo Dorothee D   Greenberg Jeffrey D JD   Mouassess Faten F   Achkar Walid A L WA   Fulton Robert S RS   Denny Joshua C JC   Gupta Namrata N   Mirel Daniel D   Gabriel Stacy S   Li Gang G   Kremer Joel M JM   Pappas Dimitrios A DA   Carroll Robert J RJ   Eyler Anne E AE   Trynka Gosia G   Stahl Eli A EA   Cui Jing J   Saxena Richa R   Coenen Marieke J H MJ   Guchelaar Henk-Jan HJ   Huizinga Tom W J TW   Dieudé Philippe P   Mariette Xavier X   Barton Anne A   Canhão Helena H   Fonseca João E JE   de Vries Niek N   Tak Paul P PP   Moreland Larry W LW   Bridges S Louis SL   Miceli-Richard Corinne C   Choi Hyon K HK   Kamatani Yoichiro Y   Galan Pilar P   Lathrop Mark M   Raj Towfique T   De Jager Philip L PL   Raychaudhuri Soumya S   Worthington Jane J   Padyukov Leonid L   Klareskog Lars L   Siminovitch Katherine A KA   Gregersen Peter K PK   Mardis Elaine R ER   Arayssi Thurayya T   Kazkaz Layla A LA   Plenge Robert M RM  

PloS one 20140210 2


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 unrel  ...[more]

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