Association Between PIP4K2A Polymorphisms and Acute Lymphoblastic Leukemia Susceptibility
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Acute lymphoblastic leukemia (ALL) is one of the most common pediatric cancers in the world. Several single-nucleotide polymorphisms (SNPs) locating at PIP4K2A locus were identified to be associated with ALL susceptibility through genome-wide association studies, however, followed by inconsistent reports in replication studies. In this study, we conducted a meta-analysis to investigate the association status of the top independent SNPs (rs7088318 and rs4748793) with ALL susceptibility by combining the data from 6 independent studies, totally including 3508 cases and 12,446 controls with multiethnic populations. Consistent association with ALL risk of both SNPs were observed (odds ratio [OR] 1.28 and 1.29, 95% confidence interval [CI] 1.20–1.36 and 1.19–1.40, respectively). Considering clinic characteristics, rs7088318 is more related to patients with African ancestry (OR 1.48, 95% CI 1.21–1.80) and hyperdiploid subtype (OR 1.42, 95% CI 1.25–1.61). Moreover, several SNPs (eg, rs45469096) were identified to be in high linage disequilibrium with rs7088318, and affected PIP4K2A expression in lymphocytes probably by altering the binding affinity of some transcriptional factors. In conclusion, we systematically investigated the relationship between SNPs at PIP4K2A locus and ALL susceptibility, and further found potential causal variant candidates, thus better elucidating the role of PIP4K2A gene in leukemogenesis.Keywords:
Linkage Disequilibrium
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HLA haplotype frequency was studied by typing 201 members of 32 unrelated families. Linkage disequilibrium was determined by observed and expected haplotype frequencies. The two-locus haplotype frequencies with most significant linkage disequilibrium were A30-B13, Aw33-B17, Bw46-Cw11, B12-Cw8, A1-Cw6 and A33-Cw3. No locus recombination was noted among 137 children.
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Abstract: Juvenile idiopathic arthritis (JIA) is an HLA‐associated rheumatic disease with onset in childhood. We recently reported that allele 5 at microsatellite D6S265 in the HLA class I region is associated with JIA, independent of linkage disequilibrium with the high risk DR8‐DQ4 haplotype. In the present study, we investigated whether alleles at D6S265, or other markers in this region, also modify the risk for JIA on other haplotypes, i.e., DRB1*1301‐DQB1*0603 or DRB1*1101/4‐DQB1*0301. We observed a significant association with allele 6 at D6S265 on the DRB1*1301‐DQB1*0603 haplotype. We also noted an association with allele 3 at D6S265, when carried on the DRB1*1101/4‐DQB1*0301 haplotype. Our results further support an additional JIA susceptibility gene in the HLA class I region in linkage disequilibrium with alleles at D6S265.
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Present studies examined the DNA polymorphisms in the AGT genes in a Chinese population in Henan province of central China. By using PCR-RFLP and maximum likelihood estimation (MLE), we estimated the pattern of intragenic linkage disequilibrium and the haplotype structure and explored the possible association between the polymorphisms of AGT gene and essential hypertension in a case-control study. Seven polymorphic sites (SNPs) and seven major haplotypes of AGT gene were analyzed. Among the individual SNP pairs examined, the A-6G, C+31T and M235T are nearly completely disequilibrium. All those single polymorphism loci were individually not associated with hypertension. But we found the frequency of haplotype H2 (-217: G, -152: G, -20: A, -6: G, +31: T, 174: T, 235: M) was significantly higher in controls than patients (P=0.010). Our study suggested that few haplotypes derived seven polymorphism loci could account for the most of the variation in AGT gene in Chinese Hans. The haplotype H2 of AGT gene might represent or be in disequilibrium with a genetic protective factor against EH.
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This chapter contains sections titled: Introduction Linkage Disequilibrium Mapping Genes Using Linkage Disequilibrium Tests for Association Analysis of Haplotype Data Association Tests for Quantitative Traits Association and Genomic Screening Special Populations Summary References
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Genome-wide association study (GWAS)-based pathway association analysis is a powerful approach for the genetic studies of human complex diseases. However, the genetic confounding effects of environment exposure-related genes can decrease the accuracy of GWAS-based pathway association analysis of target diseases. In this study, we developed a pathway association analysis approach, named Mendelian randomization-based pathway enrichment analysis (MRPEA), which was capable of correcting the genetic confounding effects of environmental exposures, using the GWAS summary data of environmental exposures. After analyzing the real GWAS summary data of cardiovascular disease and cigarette smoking, we observed significantly improved performance of MRPEA compared with traditional pathway association analysis (TPAA) without adjusting for environmental exposures. Further, simulation studies found that MRPEA generally outperformed TPAA under various scenarios. We hope that MRPEA could help to fill the gap of TPAA and identify novel causal pathways for complex diseases.
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Abstract Complex diseases affect a substantial proportion of the human population and are caused by multiple genetic and environmental effects. The association study is a means of identifying genetic variation that may be involved in complex disease etiology. The existence of linkage disequilibrium (nonrandom association of alleles) across the human genome can be used to reduce the number of variants needed to successfully correlate with phenotypic traits. We discuss the current status and problems inherent in performing whole genome association studies to analyze complex diseases.
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