Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Swapan K. Nath is active.

Publication


Featured researches published by Swapan K. Nath.


Nature Genetics | 2008

Genome-wide association scan in women with systemic lupus erythematosus identifies susceptibility variants in ITGAM , PXK , KIAA1542 and other loci

John B. Harley; Marta E. Alarcón-Riquelme; Lindsey A. Criswell; Chaim O. Jacob; Robert P. Kimberly; Kathy L. Moser; Betty P. Tsao; Timothy J. Vyse; Carl D. Langefeld; Swapan K. Nath; Joel M. Guthridge; Beth L. Cobb; Daniel B. Mirel; Miranda C. Marion; Adrienne H. Williams; Jasmin Divers; Wei Wang; Summer G Frank; Bahram Namjou; Stacey Gabriel; Annette Lee; Peter K. Gregersen; Timothy W. Behrens; Kimberly E. Taylor; Michelle M. A. Fernando; Raphael Zidovetzki; Patrick M. Gaffney; Jeffrey C. Edberg; John D. Rioux; Joshua O. Ojwang

Systemic lupus erythematosus (SLE) is a common systemic autoimmune disease with complex etiology but strong clustering in families (λS = ∼30). We performed a genome-wide association scan using 317,501 SNPs in 720 women of European ancestry with SLE and in 2,337 controls, and we genotyped consistently associated SNPs in two additional independent sample sets totaling 1,846 affected women and 1,825 controls. Aside from the expected strong association between SLE and the HLA region on chromosome 6p21 and the previously confirmed non-HLA locus IRF5 on chromosome 7q32, we found evidence of association with replication (1.1 × 10−7 < Poverall < 1.6 × 10−23; odds ratio = 0.82–1.62) in four regions: 16p11.2 (ITGAM), 11p15.5 (KIAA1542), 3p14.3 (PXK) and 1q25.1 (rs10798269). We also found evidence for association (P < 1 × 10−5) at FCGR2A, PTPN22 and STAT4, regions previously associated with SLE and other autoimmune diseases, as well as at ⩾9 other loci (P < 2 × 10−7). Our results show that numerous genes, some with known immune-related functions, predispose to SLE.


Nature Genetics | 2008

A nonsynonymous functional variant in integrin-|[alpha]|M (encoded by ITGAM) is associated with systemic lupus erythematosus

Swapan K. Nath; Shizhong Han; Xana Kim-Howard; Jennifer A. Kelly; Parvathi Viswanathan; Gary S. Gilkeson; Wei Chen; Cheng Zhu; Rodger P. McEver; Robert P. Kimberly; Marta E. Alarcón-Riquelme; Timothy J. Vyse; Quan Zhen Li; Edward K. Wakeland; Joan T. Merrill; Judith A. James; Kenneth M. Kaufman; Joel M. Guthridge; John B. Harley

We identified and replicated an association between ITGAM (CD11b) at 16p11.2 and risk of systemic lupus erythematosus (SLE) in 3,818 individuals of European descent. The strongest association was at a nonsynonymous SNP, rs1143679 (P = 1.7 × 10−17, odds ratio = 1.78). We further replicated this association in two independent samples of individuals of African descent (P = 0.0002 and 0.003; overall meta-analysis P = 6.9 × 10−22). The genetic association between ITGAM and SLE implicates the αMβ2-integrin adhesion pathway in disease development.


Human Genetics | 2005

Polymorphisms of complement receptor 1 and interleukin-10 genes and systemic lupus erythematosus: a meta-analysis.

Swapan K. Nath; John B. Harley; Young Ho Lee

A number of studies have tested the association of the complement receptor 1 (CR1) and Interleukin-10 (IL10) polymorphisms with systemic lupus erythematosus (SLE), but reported conflicting results. The aim of the study is to explore whether the CR1 and IL10 genes are associated with SLE susceptibility. We surveyed studies on the CR1 and IL10 polymorphisms and SLE using comprehensive Medline search and review of the references. A meta-analysis was conducted in a fixed effects model or random effects model based on between-study heterogeneity. Eighteen comparisons from 13 studies were included in the CR1 meta-analysis and a total of 16 separate comparisons were used for the IL10 meta-analysis. The CR1 meta-analysis showed no significant association of the CR1 functional polymorphisms with SLE. In contrast, the S structural variant of the CR1 showed a significant association (OR=1.544, 95% CI, 1.217–1.959, P<0.001). Stratification by ethnicity indicated that the CR1 S variant was associated with SLE in Caucasians (OR=1.667, 95% CI, 1.193–2.357, P=0.003). The IL10 meta-analysis showed a significant association between SLE and the G11 allele of IL10.G (OR=1.279, 95% CI; 1.027–1.593, P=0.028) in whole populations, and IL10 promoter −1082G allele was associated with SLE in Asians (OR=1.358, 95% CI; 1.015–1.816, P=0.039). In conclusion, the CR1 meta-analysis revealed the association of the S structural variant of the CR1 with SLE and the IL10 meta-analysis showed the association of IL10.G11 allele and SLE in whole populations and the association between promoter -A1082G polymorphism and SLE in Asians.


American Journal of Human Genetics | 2001

Evidence for a Susceptibility Gene, SLEV1, on Chromosome 17p13 in Families with Vitiligo-Related Systemic Lupus Erythematosus

Swapan K. Nath; Jennifer A. Kelly; Bahram Namjou; Tom Lam; Gail R. Bruner; R. Hal Scofield; Christopher E. Aston; John B. Harley

Both systemic lupus erythematosus (SLE) and vitiligo are autoimmune disorders that have strong evidence of complex genetic contributions to their etiology, but, to date, efforts using genetic linkage to find the susceptibility genes for either phenotype have met with limited success. Since autoimmune diseases are thought to share at least some of their genetic origins, and since only a small minority (16 of 92) of the European-American pedigrees multiplex for SLE in our collection have one or more affected members with vitiligo, we hypothesized that these pedigrees might be more genetically homogeneous at loci important to both SLE and vitiligo and, hence, have increased power for detection of linkage. We therefore evaluated genomewide microsatellite-marker-scan data for markers at an average marker density of approximately 11 cM in these 16 European-American pedigrees and identified a significant linkage at 17p13, where the maximum multipoint parametric LOD score was 3.64 (P<4.3x10(-5)) and the nonparametric linkage score was 4.02 (P<2.8x10(-5)), respectively. The segregation behavior of this linkage suggests a recessive mode of inheritance with a virtually homogeneous genetic effect in these 16 pedigrees. These results support the hypotheses that SLE and vitiligo may share important genetic effects and that sampling on the basis of clinical covariates dramatically improves power to identify genetic effects.


PLOS ONE | 2008

Common variants within MECP2 confer risk of systemic lupus erythematosus.

Amr H. Sawalha; Ryan Webb; Shizhong Han; Jennifer A. Kelly; Kenneth M. Kaufman; Robert P. Kimberly; Marta E. Alarcón-Riquelme; Judith A. James; Timothy J. Vyse; Gary S. Gilkeson; Chan Bum Choi; R. Hal Scofield; Sang-Cheol Bae; Swapan K. Nath; John B. Harley

Systemic lupus erythematosus (SLE) is a predominantly female autoimmune disease that affects multiple organ systems. Herein, we report on an X-chromosome gene association with SLE. Methyl-CpG-binding protein 2 (MECP2) is located on chromosome Xq28 and encodes for a protein that plays a critical role in epigenetic transcriptional regulation of methylation-sensitive genes. Utilizing a candidate gene association approach, we genotyped 21 SNPs within and around MECP2 in SLE patients and controls. We identify and replicate association between SLE and the genomic element containing MECP2 in two independent SLE cohorts from two ethnically divergent populations. These findings are potentially related to the overexpression of methylation-sensitive genes in SLE.


Human Genetics | 2005

CTLA-4 polymorphisms and systemic lupus erythematosus (SLE): a meta-analysis

Young Ho Lee; John B. Harley; Swapan K. Nath

Several reports demonstrate association between variants of the cytotoxic T lymphocyte antigen-4 (CTLA-4) and autoimmune diseases. CTLA-4 may generate autoimmunity by immune dysregulation, making CTLA-4 an attractive candidate gene for systemic lupus erythematosus (SLE) susceptibility. Previous CTLA-4 association studies with SLE, however, have produced inconsistent results. We have performed a meta-analysis to better assess the purported associations. A total of 14 independent studies (to July 2004) testing association between one or more CTLA-4 polymorphisms and SLE were used in this analysis. We have compared allele and genotype frequencies at four polymorphic sites found in exon-1 (at +49), the promoter region (at −318 and −1722), and the 3′ untranslated region (3′UTR) (dinucleotide repeat). We have evaluated both fixed and random effect models, depending on the presence of between-study heterogeneity. The data demonstrate that the exon-1 +49 polymorphism is significantly associated with SLE susceptibility. The overall risk, measured by odds ratio (OR), for exon-1 +49 GG genotype is 1.287 [95% confidence interval (CI)=1.031–1.562, P=0.011]. Stratification by ethnicity indicates the exon–1 +49 GG genotype is associated with SLE, at least in Asians (OR=1.293, 95% CI=1.031–1.620, P=0.026). European-derived populations have an effect of similar magnitude (OR=1.268, 95% CI=0.860–1.870, P=0.230), though not significant. Similar trends are found in allele-specific risk estimates and disease association. The OR for the exon-1 +49 risk allele (G) in Asians is 1.246 (95% CI=1.057–1.469, P=0.009), while Europeans have no evidence of allelic association (OR=0.978, 95% CI=0.833–1.148, P=0.780). In conclusion, this meta-analysis supports the CTLA-4 exon-1 +49 (A/G) polymorphism influencing the risk for developing SLE, especially in Asians.


Arthritis & Rheumatism | 2009

A polymorphism within IL21R confers risk for systemic lupus erythematosus

Ryan Webb; Joan T. Merrill; Jennifer A. Kelly; Andrea L. Sestak; Kenneth M. Kaufman; Carl D. Langefeld; Julie T. Ziegler; Robert P. Kimberly; Jeffrey C. Edberg; Rosalind Ramsey-Goldman; Michelle Petri; John D. Reveille; Graciela S. Alarcón; Luis M. Vilá; Marta E. Alarcón-Riquelme; Judith A. James; Gary S. Gilkeson; Chaim O. Jacob; Kathy L. Moser; Patrick M. Gaffney; Timothy J. Vyse; Swapan K. Nath; Peter E. Lipsky; John B. Harley; Amr H. Sawalha

OBJECTIVE Interleukin-21 (IL-21) is a member of the type I cytokine superfamily that has a variety of effects on the immune system, including B cell activation, plasma cell differentiation, and immunoglobulin production. The expression of IL-21 receptor (IL-21R) is reduced in the B cells of patients with systemic lupus erythematosus (SLE), while serum IL-21 levels are increased both in lupus patients and in some murine lupus models. We recently reported that polymorphisms within the IL21 gene are associated with increased susceptibility to SLE. The aim of this study was to examine the genetic association between single-nucleotide polymorphisms (SNPs) within IL21R and SLE. METHODS We genotyped 17 SNPs in the IL21R gene in 2 large cohorts of lupus patients (a European-derived cohort and a Hispanic cohort) and in ethnically matched healthy controls. RESULTS We identified and confirmed the association between rs3093301 within the IL21R gene and SLE in the 2 cohorts (meta-analysis odds ratio 1.16 [95% confidence interval 1.08-1.25], P=1.0x10(-4)). CONCLUSION Our findings indicate that IL21R is a novel susceptibility gene for SLE.


American Journal of Human Genetics | 2000

Linkage disequilibrium analysis of biallelic DNA markers, human quantitative trait loci, and threshold-defined case and control subjects.

Nicholas J. Schork; Swapan K. Nath; Daniele Fallin; Aravinda Chakravarti

Linkage disequilibrium (LD) mapping has been applied to many simple, monogenic, overtly Mendelian human traits, with great success. However, extensions and applications of LD mapping approaches to more complex human quantitative traits have not been straightforward. In this article, we consider the analysis of biallelic DNA marker loci and human quantitative trait loci in settings that involve sampling individuals from opposite ends of the trait distribution. The purpose of this sampling strategy is to enrich samples for individuals likely to possess (and not possess) trait-influencing alleles. Simple statistical models for detecting LD between a trait-influencing allele and neighboring marker alleles are derived that make use of this sampling scheme. The power of the proposed method is investigated analytically for some hypothetical gene-effect scenarios. Our studies indicate that LD mapping of loci influencing human quantitative trait variation should be possible in certain settings. Finally, we consider possible extensions of the proposed methods, as well as areas for further consideration and improvement.


Arthritis Research & Therapy | 2007

Current status of lupus genetics

Andrea L. Sestak; Swapan K. Nath; Amr H. Sawalha; John B. Harley

Over the past 40 years more than 100 genetic risk factors have been defined in systemic lupus erythematosus through a combination of case studies, linkage analyses of multiplex families, and case-control analyses of single genes. Multiple investigators have examined patient cohorts gathered from around the world, and although we doubt that all of the reported associations will be replicated, we have probably already discovered many of the genes that are important in lupus pathogenesis, including those encoding human leukocyte antigen-DR, Fcγ receptor 3A, protein tyrosine phosphatase nonreceptor 22, cytotoxic T lymphocyte associated antigen 4, and mannose-binding lectin. In this review we will present what is known, what is disputed, and what remains to be discovered in the world of lupus genetics.


Annals of the Rheumatic Diseases | 2011

Early disease onset is predicted by a higher genetic risk for lupus and is associated with a more severe phenotype in lupus patients

Ryan Webb; Jennifer A. Kelly; Emily C. Somers; Travis Hughes; Kenneth M. Kaufman; Elena Sanchez; Swapan K. Nath; Gail R. Bruner; Marta E. Alarcón-Riquelme; Gary S. Gilkeson; Diane L. Kamen; Bruce C. Richardson; John B. Harley; Amr H. Sawalha

Background Systemic lupus erythematosus (SLE) is a chronic, multiorgan, autoimmune disease that affects people of all ages and ethnicities. Objectives To explore the relationship between age at disease onset and many of the diverse manifestations of SLE. Additionally, to determine the relationship between age of disease onset and genetic risk in patients with SLE. Methods The relationship between the age at disease onset and SLE manifestations were explored in a multi-racial cohort of 1317 patients. Patients with SLE were genotyped across 19 confirmed genetic susceptibility loci for SLE. Logistic regression was used to determine the relationships between the number of risk alleles present and age of disease onset. Results Childhood-onset SLE had higher odds of proteinuria, malar rash, anti-dsDNA antibody, haemolytic anaemia, arthritis and leucopenia (OR=3.03, 2.13, 2.08, 2.50, 1.89, 1.53, respectively; p values <0.0001, 0.0004, 0.0005, 0.0024, 0.0114, 0.045, respectively). In female subjects, the odds of having cellular casts were 2.18 times higher in childhood-onset than in adult-onset SLE (p=0.0027). With age of onset ≥50, the odds of having proteinuria, cellular casts, anti-nRNP antibody, anti-Sm antibody, anti-dsDNA antibody and seizures were reduced. However, late adult-onset patients with SLE have higher odds of developing photosensitivity than early adult-onset patients. Each SLE-susceptibility risk allele carried within the genome of patients with SLE increased the odds of having a childhood-onset disease in a race-specific manner: by an average of 48% in Gullah and 25% in African-Americans, but this was not significant in Hispanic and European-American lupus patients. Conclusions The genetic contribution towards predicting early-onset disease in patients with SLE is quantified for the first time. A more severe SLE phenotype is found in patients with early-onset disease in a large multi-racial cohort, independent of gender, race and disease duration.

Collaboration


Dive into the Swapan K. Nath's collaboration.

Top Co-Authors

Avatar

John B. Harley

Cincinnati Children's Hospital Medical Center

View shared research outputs
Top Co-Authors

Avatar

Jennifer A. Kelly

Oklahoma Medical Research Foundation

View shared research outputs
Top Co-Authors

Avatar

Judith A. James

University of Oklahoma Health Sciences Center

View shared research outputs
Top Co-Authors

Avatar

Gary S. Gilkeson

Medical University of South Carolina

View shared research outputs
Top Co-Authors

Avatar

Xana Kim-Howard

Oklahoma Medical Research Foundation

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Kenneth M. Kaufman

Cincinnati Children's Hospital Medical Center

View shared research outputs
Top Co-Authors

Avatar

Robert P. Kimberly

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Kathy L. Moser

Oklahoma Medical Research Foundation

View shared research outputs
Top Co-Authors

Avatar

Patrick M. Gaffney

Oklahoma Medical Research Foundation

View shared research outputs
Researchain Logo
Decentralizing Knowledge