Genome-wide association analysis of anti-TNF drug response in patients with rheumatoid arthritis.
Genome-wide association analysis of anti-TNF drug response in patients with rheumatoid arthritis.
复制标题
DOI:
10.1136/annrheumdis-2012-202405
复制
发表时间:
2013-08
影响因子:
27.4
通讯作者:
Coenen MJ
中科院分区:
文献类型:
--
作者:
Umiċeviċ Mirkov M;Cui J;Vermeulen SH;Stahl EA;Toonen EJ;Makkinje RR;Lee AT;Huizinga TW;Allaart R;Barton A;Mariette X;Miceli CR;Criswell LA;Tak PP;de Vries N;Saevarsdottir S;Padyukov L;Bridges SL;van Schaardenburg DJ;Jansen TL;Dutmer EA;van de Laar MA;Barrera P;Radstake TR;van Riel PL;Scheffer H;Franke B;Brunner HG;Plenge RM;Gregersen PK;Guchelaar HJ;Coenen MJ
Treatment strategies blocking tumor necrosis factor (anti-TNF) have proven very successful in patients with rheumatoid arthritis (RA). However, a significant subset of patients does not respond for unknown reasons. Currently there are no means of identifying these patients prior to treatment. This study was aimed at identifying genetic factors predicting anti-TNF treatment outcome in patient with RA using a genome-wide association approach. We conducted a multi-stage, genome-wide association study with a primary analysis of 2,557,253 single nucleotide polymorphisms (SNPs) in 882 RA patients receiving anti-TNF therapy included through the Dutch Rheumatoid Arthritis Monitoring (DREAM) registry and the database of Apotheekzorg. Linear regression analysis of changes in the Disease Activity Score in 28 joints after 14 weeks of treatment was performed using an additive model. Markers with a p<10−3 were selected for replication in 1,821 RA patients from three independent cohorts. Pathway analysis including all SNPs with a p-value < 10−3 was performed using Ingenuity. Seven hundred seventy two markers demonstrated evidence of association with treatment outcome in the initial stage. Eight genetic loci showed improved p-value in the overall meta-analysis compared to the first stage, three of which (rs1568885, rs1813443 and rs4411591) showed directional consistency over all four studied cohorts. We were unable to replicate markers previously reported to be associated with anti-TNF outcome. Network analysis indicated strong involvement of biological processes underlying inflammatory response and cell morphology. Using a multi-stage strategy, we have identified 8 genetic loci associated with response to anti-TNF treatment. Further studies are required to validate these findings in additional patient collections.
登录
查看更多内容
影响因子:
--
作者:
Keystone, EC;Kavanaugh, AF;Chartash, EK
通讯作者:
Chartash, EK
影响因子:
--
作者:
Cui, Jing;Saevarsdottir, Saedis;Thomson, Brian;Padyukov, Leonid;van der Helm-van Mil, Annette H. M.;Nititham, Joanne;Hughes, Laura B.;de Vries, Niek;Raychaudhuri, Soumya;Alfredsson, Lars;Askling, Johan;Wedren, Sara;Ding, Bo;Guiducci, Candace;Wolbink, Gert Jan;Crusius, J. Bart A.;van der Horst-Bruinsma, Irene E.;Herenius, Marieke;Weinblatt, Michael E.;Shadick, Nancy A.;Worthington, Jane;Batliwalla, Franak;Kern, Marlena;Morgan, Ann W.;Wilson, Anthony G.;Isaacs, John D.;Hyrich, Kimme;Seldin, Michael F.;Moreland, Larry W.;Behrens, Timothy W.;Allaart, Cornelia F.;Criswell, Lindsey A.;Huizinga, Tom W. J.;Tak, Paul P.;Bridges, S. Louis, Jr.;Toes, Rene E. M.;Barton, Anne;Klareskog, Lars;Gregersen, Peter K.;Karlson, Elizabeth W.;Plenge, Robert M.
通讯作者:
Plenge, Robert M.
影响因子:
4.4
作者:
Nagar, Meital;Jacob-Hirsch, Jasmine;Goldstein, Itamar
通讯作者:
Goldstein, Itamar
影响因子:
9.8
作者:
Chen, Wei-Min;Abecasis, Goncalo R.
通讯作者:
Abecasis, Goncalo R.
影响因子:
5.5
作者:
Hyrich, K. L.;Watson, K. D.;Symmons, D. P. M.
通讯作者:
Symmons, D. P. M.