Risk Alleles for Systemic Lupus Erythematosus in a Large Case-Control Collection and Associations with Clinical Subphenotypes
Systemic lupus erythematosus (SLE) is a genetically complex disease with heterogeneous clinical manifestations. Recent studies have greatly expanded the number of established SLE risk alleles, but the distribution of multiple risk alleles in cases versus controls and their relationship to subphenotypes have not been studied. We studied 22 SLE susceptibility polymorphisms with previous genome-wide evidence of association (p<5×10−8) in 1919 SLE cases from 9 independent Caucasian SLE case series and 4813 independent controls. The mean number of risk alleles in cases was 15.1 (SD 3.1) while the mean in controls was 13.1 (SD 2.8), with trend p = 4×10−128. We defined a genetic risk score (GRS) for SLE as the number of risk alleles with each weighted by the SLE risk odds ratio (OR). The OR for high-low GRS tertiles, adjusted for intra-European ancestry, sex, and parent study, was 4.4 (95% CI 3.8–5.1). We studied associations of individual SNPs and the GRS with clinical manifestations for the cases: age at diagnosis, the 11 American College of Rheumatology classification criteria, and double-stranded DNA antibody (anti-dsDNA) production. Six subphenotypes were significantly associated with the GRS, most notably anti-dsDNA (ORhigh-low = 2.36, p = 9e−9), the immunologic criterion (ORhigh-low = 2.23, p = 3e−7), and age at diagnosis (ORhigh-low = 1.45, p = 0.0060). Finally, we developed a subphenotype-specific GRS (sub-GRS) for each phenotype with more power to detect cumulative genetic associations. The sub-GRS was more strongly associated than any single SNP effect for 5 subphenotypes (the above plus hematologic disorder and oral ulcers), while single loci are more significantly associated with renal disease (HLA-DRB1, OR = 1.37, 95% CI 1.14–1.64) and arthritis (ITGAM, OR = 0.72, 95% CI 0.59–0.88). We did not observe significant associations for other subphenotypes, for individual loci or the sub-GRS. Thus our analysis categorizes SLE subphenotypes into three groups: those having cumulative, single, and no known genetic association with respect to the currently established SLE risk loci.
Vyšlo v časopise:
Risk Alleles for Systemic Lupus Erythematosus in a Large Case-Control Collection and Associations with Clinical Subphenotypes. PLoS Genet 7(2): e32767. doi:10.1371/journal.pgen.1001311
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pgen.1001311
Souhrn
Systemic lupus erythematosus (SLE) is a genetically complex disease with heterogeneous clinical manifestations. Recent studies have greatly expanded the number of established SLE risk alleles, but the distribution of multiple risk alleles in cases versus controls and their relationship to subphenotypes have not been studied. We studied 22 SLE susceptibility polymorphisms with previous genome-wide evidence of association (p<5×10−8) in 1919 SLE cases from 9 independent Caucasian SLE case series and 4813 independent controls. The mean number of risk alleles in cases was 15.1 (SD 3.1) while the mean in controls was 13.1 (SD 2.8), with trend p = 4×10−128. We defined a genetic risk score (GRS) for SLE as the number of risk alleles with each weighted by the SLE risk odds ratio (OR). The OR for high-low GRS tertiles, adjusted for intra-European ancestry, sex, and parent study, was 4.4 (95% CI 3.8–5.1). We studied associations of individual SNPs and the GRS with clinical manifestations for the cases: age at diagnosis, the 11 American College of Rheumatology classification criteria, and double-stranded DNA antibody (anti-dsDNA) production. Six subphenotypes were significantly associated with the GRS, most notably anti-dsDNA (ORhigh-low = 2.36, p = 9e−9), the immunologic criterion (ORhigh-low = 2.23, p = 3e−7), and age at diagnosis (ORhigh-low = 1.45, p = 0.0060). Finally, we developed a subphenotype-specific GRS (sub-GRS) for each phenotype with more power to detect cumulative genetic associations. The sub-GRS was more strongly associated than any single SNP effect for 5 subphenotypes (the above plus hematologic disorder and oral ulcers), while single loci are more significantly associated with renal disease (HLA-DRB1, OR = 1.37, 95% CI 1.14–1.64) and arthritis (ITGAM, OR = 0.72, 95% CI 0.59–0.88). We did not observe significant associations for other subphenotypes, for individual loci or the sub-GRS. Thus our analysis categorizes SLE subphenotypes into three groups: those having cumulative, single, and no known genetic association with respect to the currently established SLE risk loci.
Zdroje
1. HarleyIT
KaufmanKM
LangefeldCD
HarleyJB
KellyJA
2009 Genetic susceptibility to SLE: new insights from fine mapping and genome-wide association studies. Nat Rev Genet 10 285 290
2. GrahamRR
HomG
OrtmannW
BehrensTW
2009 Review of recent genome-wide association scans in lupus. J Intern Med 265 680 688
3. HomG
GrahamRR
ModrekB
TaylorKE
OrtmannW
2008 Association of Systemic Lupus Erythematosus with C8orf13-BLK and ITGAM-ITGAX. N Engl J Med 358 900 909
4. HarleyJB
Alarcon-RiquelmeME
CriswellLA
JacobCO
KimberlyRP
2008 Genome-wide association scan in women with systemic lupus erythematosus identifies susceptibility variants in ITGAM, PXK, KIAA1542 and other loci. Nat Genet 40 204 210
5. GrahamRR
CotsapasC
DaviesL
HackettR
LessardCJ
2008 Genetic variants near TNFAIP3 on 6q23 are associated with systemic lupus erythematosus. Nat Genet 40 1059 1061
6. GatevaV
SandlingJK
HomG
TaylorKE
ChungSA
2009 A large-scale replication study identifies TNIP1, PRDM1, JAZF1, UHRF1BP1 and IL10 as risk loci for systemic lupus erythematosus. Nat Genet 41 1228 1233
7. KozyrevSV
AbelsonAK
WojcikJ
ZaghloolA
Linga ReddyMV
2008 Functional variants in the B-cell gene BANK1 are associated with systemic lupus erythematosus. Nat Genet 40 211 216
8. TaylorKE
RemmersEF
LeeAT
OrtmannWA
PlengeRM
2008 Specificity of the STAT4 genetic association for severe disease manifestations of systemic lupus erythematosus. PLoS Genet 4 e1000084 doi:10.1371/journal.pgen.1000084
9. PodrebaracTA
BoisertDM
GoldsteinR
1998 Clinical correlates, serum autoantibodies and the role of the major histocompatibility complex in French Canadian and non-French Canadian Caucasians with SLE. Lupus 7 183 191
10. ZhengSL
SunJ
WiklundF
SmithS
StattinP
2008 Cumulative association of five genetic variants with prostate cancer. N Engl J Med 358 910 919
11. KarlsonEW
ChibnikLB
KraftP
CuiJ
KeenanBT
2010 Cumulative association of 22 genetic variants with seropositive rheumatoid arthiritis risk. Ann Rheum Dis 69 1077 1085
12. PurcellSM
WrayNR
StoneJL
VisscherPM
O'DonovanMC
2009 Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460 748 752
13. TanEM
CohenAS
FriesJF
MasiAT
McShaneDJ
1982 The 1982 revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum 25 1271 1277
14. HochbergMC
1997 Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus [letter]. Arthritis Rheum 40 1725
15. HunterDJ
KraftP
JacobsKB
CoxDG
YeagerM
2007 A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. Nat Genet 39 870 874
16. BenjaminiY
HochbergY
1995 Controlling the false discovery rate - a practical and powerful approach to multiple testing. J R Stat Soc Ser B 57 289 300
17. MusoneSL
TaylorKE
LuTT
NitithamJ
FerreiraRC
2008 Multiple polymorphisms in the TNFAIP3 region are independently associated with systemic lupus erythematosus. Nat Genet 40 1062 1064
18. MarchiniJ
HowieB
MyersS
McVeanG
DonnellyP
2007 A new multipoint method for genome-wide association studies by imputation of genotypes. Nat Genet 39 906 913
19. PriceAL
PattersonNJ
PlengeRM
WeinblattME
ShadickNA
2006 Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38 904 909
20. RoystonP
2005 Multiple imputation of missing values: Update of ice. The Stata Journal 5 527 536
21. StataCorp
2006 Stata Statistical Software: Release 9.2. Stata Corporation. College Station, TX StataCorp LP
22. PurcellS
NealeB
Todd-BrownK
ThomasL
FerreiraMAR
2007 PLINK: a toolset for whole-genome association and population-based linkage analysis. American Journal of Human Genetics 81 559 575
23. IhakaR
GentlemanR
1996 R: A Language for Data Analysis and Graphics. Journal of Computational and Graphical Statistics 5 299 314
Štítky
Genetika Reprodukčná medicínaČlánok vyšiel v časopise
PLOS Genetics
2011 Číslo 2
- Gynekologové a odborníci na reprodukční medicínu se sejdou na prvním virtuálním summitu
- Je „freeze-all“ pro všechny? Odborníci na fertilitu diskutovali na virtuálním summitu
Najčítanejšie v tomto čísle
- Meta-Analysis of Genome-Wide Association Studies in Celiac Disease and Rheumatoid Arthritis Identifies Fourteen Non-HLA Shared Loci
- MiRNA Control of Vegetative Phase Change in Trees
- The Cardiac Transcription Network Modulated by Gata4, Mef2a, Nkx2.5, Srf, Histone Modifications, and MicroRNAs
- Genome-Wide Transcript Profiling of Endosperm without Paternal Contribution Identifies Parent-of-Origin–Dependent Regulation of