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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
Authors
A Kiezun
A McKenna
+108 more
A Thomas
AL Price
Amr H. Sawalha
Anne Barton
Anne E. Eyler
B Howie
BE Bernstein
BE Madsen
BM Neale
CC Akoh
CJ Willer
Corinne Miceli-Richard
CT Jordan
CT Jordan
D Diogo
Daniel Mirel
DC Koboldt
Dimitrios A. Pappas
Dorothee Diogo
EA Stahl
EA Stahl
Elaine R. Mardis
Eli A. Stahl
ES Lander
EV Davydov
Faten Mouassess
FC Arnett
G Leibon
G Trynka
Gang Li
Gosia Trynka
GR Abecasis
H Li
H Li
Helena Canhão
Henk-Jan Guchelaar
HJ Westra
Hyon K. Choi
I Teitsson
IA Adzhubei
J Cui
JA Tennessen
Jane Worthington
JB Harley
Jeffrey D. Greenberg
JH Park
Jing Cui
JM Bathon
Joel M. Kremer
Joshua C. Denny
João E. Fonseca
JP Bradfield
K Wang
KA Hunt
Katherine A. Siminovitch
L Kazkaz
Larry W. Moreland
Lars Klareskog
Layla A. Kazkaz
LB Chibnik
LC Tsoi
Leonid Padyukov
LW Moreland
M Andres
M Punta
M Vaxillaire
MA DePristo
Marieke J. H. Coenen
Mark Lathrop
MC Fisher
MC Wu
MJ Ombrello
Namrata Gupta
Niek de Vries
NO Stitziel
P Cingolani
P Kumar
Paul P. Tak
Peter K. Gregersen
Philip L. De Jager
Philippe Dieudé
Pilar Galan
R Duan
Richa Saxena
RJ Carroll
Robert J. Carroll
Robert M. Plenge
Robert S. Fulton
S Eyre
S Raychaudhuri
S. Louis Bridges
SM Al-Mayouf
Soumya Raychaudhuri
Stacy Gabriel
T Neogi
Thurayya Arayssi
Tom W. J. Huizinga
Towfique Raj
V Plagnol
Walid A. L. Achkar
Xavier Mariette
Y Alamanos
Y Okada
Y Okada
Y Okada
Y Okada
Yoichiro Kamatani
Yukinori Okada
Publication date
1 January 2014
Publisher
'Public Library of Science (PLoS)'
Doi
View
on
PubMed
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. © 2014 Plenge et al
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