Browsing by Subject "polymorphism"

Now showing 1 - 5 of 5
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    A pleiotropic ATM variant (rs1800057 C>G) is associated with risk of multiple cancers.
    (Carcinogenesis, 2021-10-13) Qian, Danwen; Liu, Hongliang; Zhao, Lingling; Luo, Sheng; Walsh, Kyle M; Huang, Jiaoti; Li, Chuan-Yuan; Wei, Qingyi
    ATM (ataxia-telangiectasia mutated) is an important cell-cycle checkpoint kinase required for cellular response to DNA damage. Activated by DNA double strand breaks, ATM regulates the activities of many downstream proteins involved in various carcinogenic events. Therefore, ATM or its genetic variants may have a pleiotropic effect in cancer development. We conducted a pleiotropic analysis to evaluate associations between genetic variants of ATM and risk of multiple cancers. With genotyping data extracted from previously published genome-wide association studies of various cancers, we performed multivariate logistic regression analysis, followed by a meta-analysis for each cancer site, to identify cancer risk-associated single-nucleotide polymorphisms (SNPs). In the ASSET two-sided analysis, we found that two ATM SNPs were significantly associated with risk of multiple cancers. One tagging SNP (rs1800057 C>G) was associated with risk of multiple cancers (two-sided P=5.27×10 -7). Because ATM rs1800057 is a missense variant, we also explored the intermediate phenotypes through which this variant may confer risk of multiple cancers and identified a possible immune-mediated effect of this variant. Our findings indicate that genetic variants of ATM may have a pleiotropic effect on cancer risk and thus provide an important insight into common mechanisms of carcinogenesis.
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    Genetic polymorphisms of PAI-1 and PAR-1 are associated with acute normal tissue toxicity in Chinese rectal cancer patients treated with pelvic radiotherapy.
    (OncoTargets and therapy, 2015-01) Zhang, Hui; Wang, Mengyun; Shi, Tingyan; Shen, Lijun; Zhu, Ji; Sun, Menghong; Deng, Yun; Liang, Liping; Li, Guichao; Wu, Yongxin; Fan, Ming; Wei, Qingyi; Zhang, Zhen
    Plasminogen activator inhibitor type 1 (PAI-1) and protease-activated receptor-1 (PAR-1) are crucial mediators of the intestinal microenvironment and are involved in radiation-induced acute and chronic injury. To evaluate whether genetic polymorphisms of PAI-1 and PAR-1 were predictors of radiation-induced injury in patients with rectal cancer, we retrospectively evaluated 356 rectal cancer patients who had received pelvic radiotherapy and analyzed the association of genetic polymorphisms of PAI-1 and PAR-1 with acute toxicities after radiotherapy. Acute adverse events were scored, including dermatitis, fecal incontinence (anal toxicity), hematological toxicity, diarrhea, and vomiting. The patients were grouped into grade ≥2 and grade 0-1 toxicity groups to analyze the acute toxicities. Genotyping of six single nucleotide polymorphisms (SNPs) of PAI-1 and PAR-1 was performed using TaqMan assays. A logistic regression model was used to estimate the odds ratios and 95% confidence intervals. Of the 356 individuals, 264 (72.5%) had grade ≥2 total toxicities; within this group, there were 65 (18.3%) individuals who reached grade ≥3 toxicities. There were 19.5% (69/354) and 36.9% (130/352) patients that developed grade ≥2 toxicities for diarrhea and fecal incontinence, respectively. The variant genotype GG of rs1050955 in PAI-1 was found to be negatively associated with the risk of diarrhea and incontinence (P<0.05), whereas the AG and GG genotypes of rs2227631 in PAI-1 were associated with an increased risk of incontinence. The CT genotype of PAR-1 rs32934 was associated with an increased risk of total toxicity compared with the CC allele. Our results demonstrated that SNPs in the PAI-1 and PAR-1 genes were associated with acute injury in rectal cancer patients treated with pelvic irradiation. These SNPs may be useful biomarkers for predicting acute radiotoxicity in patients with rectal cancer if validated in future studies.
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    Multivariate models of animal sex: breaking binaries leads to a better understanding of ecology and evolution.
    (Integrative and comparative biology, 2023-05) McLaughlin, JF; Brock, Kinsey M; Gates, Isabella; Pethkar, Anisha; Piattoni, Marcus; Rossi, Alexis; Lipshutz, Sara E
    'Sex' is often used to describe a suite of phenotypic and genotypic traits of an organism related to reproduction. However, these traits - gamete type, chromosomal inheritance, physiology, morphology, behavior, etc. - are not necessarily coupled, and the rhetorical collapse of variation into a single term elides much of the complexity inherent in sexual phenotypes. We argue that consideration of 'sex' as a constructed category operating at multiple biological levels opens up new avenues for inquiry in our study of biological variation. We apply this framework to three case studies that illustrate the diversity of sex variation, from decoupling sexual phenotypes to the evolutionary and ecological consequences of intrasexual polymorphisms. We argue that instead of assuming binary sex in these systems, some may be better categorized as multivariate and nonbinary. Finally, we conduct a meta-analysis of terms used to describe diversity in sexual phenotypes in the scientific literature to highlight how a multivariate model of sex can clarify, rather than cloud, studies of sexual diversity within and across species. We argue that such an expanded framework of 'sex' better equips us to understand evolutionary processes, and that as biologists it is incumbent upon us to push back against misunderstandings of the biology of sexual phenotypes that enact harm on marginalized communities.
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    Polymorphisms at the microRNA binding-site of the stem cell marker gene CD133 modify susceptibility to and survival of gastric cancer.
    (Mol Carcinog, 2015-06) Wang, Qiming; Liu, Hongliang; Xiong, Huihua; Liu, Zhensheng; Wang, Li-E; Qian, Ji; Muddasani, Ramya; Lu, Victoria; Tan, Dongfeng; Ajani, Jaffer A; Wei, Qingyi
    CD133 is one of the most common stem cell markers, and functional single nucleotide polymorphisms (SNPs) of CD133 may modulate its gene functions and thus cancer risk and patient survival. We hypothesized that potentially functional CD133 SNPs are associated with gastric cancer (GC) risk and survival. To test this hypothesis, we conducted a case-control study of 371 GC patients and 313 cancer-free controls frequency-matched by age, sex, and ethnicity. We genotyped four selected, potentially functional CD133 SNPs (rs2240688A>C, rs7686732C>G, rs10022537T>A, and rs3130C>T) and used logistic regression analysis for associations of these SNPs with GC risk and Cox hazards regression analysis for survival. We found that compared with the miRNA binding site rs2240688 AA genotype, AC + CC genotypes were associated with significantly increased GC risk (adjusted OR = 1.52, 95% CI = 1.09-2.13); for another miRNA binding site rs3130C>T SNP, the TT genotype was associated with significantly reduced GC risk (adjusted OR = 0.68, 95% CI = 0.48-0.97), compared with CC + CT genotypes. In all patients, the risk rs3130 TT variant genotype was significantly associated with overall survival (OS) (adjusted P(trend) = 0.016 and 0.007 under additive and recessive models, respectively). These findings suggest that these two CD133 miRNA binding site variants, rs2240688 and rs3130, may be potential biomarkers for genetic susceptibility to GC and possible predictors for survival in GC patients but require further validation by larger studies.
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    Principal-component-based multivariate regression for genetic association studies of metabolic syndrome components
    (2010) Mei, Hao; Chen, Wei; Dellinger, Andrew; He, Jiang; Wang, Meng; Yau, Canddy; Srinivasan, Sathanur R; Berenson, Gerald S
    Background: Quantitative traits often underlie risk for complex diseases. For example, weight and body mass index (BMI) underlie the human abdominal obesity-metabolic syndrome. Many attempts have been made to identify quantitative trait loci (QTL) over the past decade, including association studies. However, a single QTL is often capable of affecting multiple traits, a quality known as gene pleiotropy. Gene pleiotropy may therefore cause a loss of power in association studies focused only on a single trait, whether based on single or multiple markers. Results: We propose using principal-component-based multivariate regression (PCBMR) to test for gene pleiotropy with comprehensive evaluation. This method generates one or more independent canonical variables based on the principal components of original traits and conducts a multivariate regression to test for association with these new variables. Systematic simulation studies have shown that PCBMR has great power. PCBMR-based pleiotropic association studies of abdominal obesity-metabolic syndrome and its possible linkage to chromosomal band 3q27 identified 11 susceptibility genes with significant associations. Whereas some of these genes had been previously reported to be associated with metabolic traits, others had never been identified as metabolism-associated genes. Conclusions: PCBMR is a computationally efficient and powerful test for gene pleiotropy. Application of PCBMR to abdominal obesity-metabolic syndrome indicated the existence of gene pleiotropy affecting this syndrome.