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Saxena, Richa

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Saxena

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Richa

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Saxena, Richa

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Now showing 1 - 3 of 3
  • Publication

    Integration of Sequence Data from a Consanguineous Family with Genetic Data from an Outbred Population Identifies PLB1 as a Candidate Rheumatoid Arthritis Risk Gene

    (Public Library of Science, 2014) Okada, Yukinori; Diogo, Dorothee; Greenberg, Jeffrey D.; Mouassess, Faten; Achkar, Walid A. L.; Fulton, Robert S.; Denny, Joshua C.; Gupta, Namrata; Mirel, Daniel; Gabriel, Stacy; Li, Gang; Kremer, Joel M.; Pappas, Dimitrios A.; Carroll, Robert J.; Eyler, Anne E.; Trynka, Gosia; Stahl, Eli A.; Cui, Jing; Saxena, Richa; Coenen, Marieke J. H.; Guchelaar, Henk-Jan; Huizinga, Tom W. J.; Dieudé, Philippe; Mariette, Xavier; Barton, Anne; Canhão, Helena; Fonseca, João E.; de Vries, Niek; Tak, Paul P.; Moreland, Larry W.; Bridges, S. Louis; Miceli-Richard, Corinne; Choi, Hyon K.; Kamatani, Yoichiro; Galan, Pilar; Lathrop, Mark; Raj, Towfique; De Jager, Philip; Raychaudhuri, Soumya; Worthington, Jane; Padyukov, Leonid; Klareskog, Lars; Siminovitch, Katherine A.; Gregersen, Peter K.; Mardis, Elaine R.; Arayssi, Thurayya; Kazkaz, Layla A.; Plenge, Robert M.

    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.

  • Publication

    Two Variants of the C-Reactive Protein Gene Are Associated with Risk of Pre-Eclampsia in an American Indian Population

    (Public Library of Science, 2013) Best, Lyle G.; Saxena, Richa; Anderson, Cindy M.; Barnes, Michael R.; Hakonarson, Hakon; Falcon, Gilbert; Martin, Candelaria; Castillo, Berta Almoguera; Karumanchi, Ananth; Keplin, Kylie; Pearson, Nichole; Lamb, Felicia; Bercier, Shellee; Keating, Brendan J.

    Background: The etiology of pre-eclampsia (PE) is unknown; but it is accepted that normal pregnancy represents a distinctive challenge to the maternal immune system. C-reactive protein is a prominent component of the innate immune system; and we previously reported an association between PE and the CRP polymorphism, rs1205. Our aim was to explore the effects of additional CRP variants. The IBC (Cardiochip) genotyping microarray focuses on candidate genes and pathways related to the pathophysiology of cardiovascular disease. Methods: This study recruited 140 cases of PE and 270 matched controls, of which 95 cases met criteria as severe PE, from an American Indian community. IBC array genotypes from 10 suitable CRP SNPs were analyzed. A replication sample of 178 cases and 427 controls of European ancestry was also genotyped. Results: A nominally significant difference (p value <0.05) was seen in the distribution of discordant matched pairs for rs3093068; and Bonferroni corrected differences (P<0.005) were seen for rs876538, rs2794521, and rs3091244. Univariate conditional logistic regression odds ratios (OR) were nominally significant for rs3093068 and rs876538 models only. Multivariate logistic models with adjustment for mother's age, nulliparity and BMI attenuated the effect (OR 1.58, P = 0.066, 95% CI 0.97–2.58) for rs876538 and (OR 2.59, P = 0.050, 95% CI 1.00–6.68) for rs3093068. An additive risk score of the above two risk genotypes shows a multivariate adjusted OR of 2.04 (P = 0.013, 95% CI 1.16–3.56). The replication sample also demonstrated significant association between PE and the rs876538 allele (OR = 1.55, P = 0.01, 95% CI 2.16–1.10). We also show putative functionality for the rs876538 and rs3093068 CRP variants. Conclusion: The CRP variants, rs876538 and rs3093068, previously associated with other cardiovascular disease phenotypes, show suggestive association with PE in this American Indian population, further supporting a possible role for CRP in PE.

  • Publication

    Investigation of Genetic Variation Underlying Central Obesity amongst South Asians

    (Public Library of Science, 2016) Scott, William R.; Zhang, Weihua; Loh, Marie; Tan, Sian-Tsung; Lehne, Benjamin; Afzal, Uzma; Peralta, Juan; Saxena, Richa; Ralhan, Sarju; Wander, Gurpreet S.; Bozaoglu, Kiymet; Sanghera, Dharambir K.; Elliott, Paul; Scott, James; Chambers, John C.; Kooner, Jaspal S.

    South Asians are 1/4 of the world’s population and have increased susceptibility to central obesity and related cardiometabolic disease. Knowledge of genetic variants affecting risk of central obesity is largely based on genome-wide association studies of common SNPs in Europeans. To evaluate the contribution of DNA sequence variation to the higher levels of central obesity (defined as waist hip ratio adjusted for body mass index, WHR) among South Asians compared to Europeans we carried out: i) a genome-wide association analysis of >6M genetic variants in 10,318 South Asians with focused analysis of population-specific SNPs; ii) an exome-wide association analysis of ~250K SNPs in protein-coding regions in 2,637 South Asians; iii) a comparison of risk allele frequencies and effect sizes of 48 known WHR SNPs in 12,240 South Asians compared to Europeans. In genome-wide analyses, we found no novel associations between common genetic variants and WHR in South Asians at P<5x10-8; variants showing equivocal association with WHR (P<1x10-5) did not replicate at P<0.05 in an independent cohort of South Asians (N = 1,922) or in published, predominantly European meta-analysis data. In the targeted analyses of 122,391 population-specific SNPs we also found no associations with WHR in South Asians at P<0.05 after multiple testing correction. Exome-wide analyses showed no new associations between genetic variants and WHR in South Asians, either individually at P<1.5x10-6 or grouped by gene locus at P<2.5x10−6. At known WHR loci, risk allele frequencies were not higher in South Asians compared to Europeans (P = 0.77), while effect sizes were unexpectedly smaller in South Asians than Europeans (P<5.0x10-8). Our findings argue against an important contribution for population-specific or cosmopolitan genetic variants underlying the increased risk of central obesity in South Asians compared to Europeans.