G. Kleinstern, Dennis P. Robinson, T. Call, M. Liebow, S. Sanjosé, Y. Benavente, J. Cerhan, S. Slager
{"title":"Abstract PR03: Association of environmental risk factors, family history, and polygenic risk scores with chronic lymphocytic leukemia","authors":"G. Kleinstern, Dennis P. Robinson, T. Call, M. Liebow, S. Sanjosé, Y. Benavente, J. Cerhan, S. Slager","doi":"10.1158/1538-7755.CARISK16-PR03","DOIUrl":null,"url":null,"abstract":"Background: Chronic lymphocytic leukemia (CLL) is a lymphoid malignancy with a strong genetic component. There are over 30 common single nucleotide polymorphisms (SNPs) associated with the risk of CLL. Moreover, in the InterLymph Subtypes Project a number of non-genetic exposures have been found to be associated with CLL, including family history (FH), height, history of atopic conditions, UV radiation, and farming exposures. However there has not been a study evaluating the joint effects among these genetic and non-genetic factors with CLL risk. Methods: Using the Mayo Clinic CLL case-control study of 587 newly diagnosed CLL cases and 790 controls, we performed analyses evaluating joint effects of genetic and non-genetic factors. For genetic effects, we computed a polygenetic risk score (PRS), a weighted averaged of the number of risk alleles across 34 SNPs, with the weights being the log of the odds ratio for each SNP. Exposure data was available for 65% of the cases and 79% of the controls. We evaluated individual and joint associations of FH of any hematological malignancy, total sun exposure categorized by quartiles based on the controls, ever living or working on a farm, any atopy, any allergies, asthma, height, and PRSs categorized by quintiles based on the controls. Multivariate logistic regression analyses were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results: In our preliminary results, the frequency of CLL cases in the upper PRS quintile was 49% while in the lowest quintile only 5%. The PRS has a strong evidence of association with CLL (OR= 3.04, CI =2.20-4.20 for highest versus the middle quintile). When adjusting for PRS, we still found a positive association with FH for any hematological malignancy (OR = 1.90, CI = 1.25-2.88), FH of non-Hodgkin lymphoma (OR = 2.02, CI = 1.08-3.79), and FH of leukemia (OR = 1.73, CI = 0.98-3.07). When stratifying by FH, the upper quintile of the PRS had a 5.85-fold (CI = 1.69-20.3) increased risk of CLL relative to those in the middle quintile in the FH strata, and a 2.65-fold (CI = 1.75-4.01) increased risk in the non-FH strata. After adjusting for PRS, FH and age, there remained an inverse association with sun exposure in the highest quartile (hours per week) (OR = 0.49, CI = 0.31-0.79) and a positive association with height (per 10 cm change) (OR = 1.37, CI = 1.17-1.62), but there were no associations with atopy, any allergies, history of asthma, or farming. No statistical evidence of an interaction among the variables was observed. Conclusions: We found evidence of independent effects among the genetic and non-genetic factors with risk of CLL. Among these factors, the PRS had the largest effect size. Although we did not observe any statistical interactions, larger sample sizes are warranted to fully evaluate these effects on risk of CLL. We are currently increasing our sample size through collaboration with other research groups. Final results will be presented in the meeting. This abstract is also being presented as Poster A06. Citation Format: Geffen Kleinstern, Dennis Robinson, Tim G. Call, Mark Liebow, Silvia de Sanjose, Yolanda Benavente, James R. Cerhan, Susan L. Slager. Association of environmental risk factors, family history, and polygenic risk scores with chronic lymphocytic leukemia. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr PR03.","PeriodicalId":9487,"journal":{"name":"Cancer Epidemiology and Prevention Biomarkers","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology and Prevention Biomarkers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/1538-7755.CARISK16-PR03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Chronic lymphocytic leukemia (CLL) is a lymphoid malignancy with a strong genetic component. There are over 30 common single nucleotide polymorphisms (SNPs) associated with the risk of CLL. Moreover, in the InterLymph Subtypes Project a number of non-genetic exposures have been found to be associated with CLL, including family history (FH), height, history of atopic conditions, UV radiation, and farming exposures. However there has not been a study evaluating the joint effects among these genetic and non-genetic factors with CLL risk. Methods: Using the Mayo Clinic CLL case-control study of 587 newly diagnosed CLL cases and 790 controls, we performed analyses evaluating joint effects of genetic and non-genetic factors. For genetic effects, we computed a polygenetic risk score (PRS), a weighted averaged of the number of risk alleles across 34 SNPs, with the weights being the log of the odds ratio for each SNP. Exposure data was available for 65% of the cases and 79% of the controls. We evaluated individual and joint associations of FH of any hematological malignancy, total sun exposure categorized by quartiles based on the controls, ever living or working on a farm, any atopy, any allergies, asthma, height, and PRSs categorized by quintiles based on the controls. Multivariate logistic regression analyses were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results: In our preliminary results, the frequency of CLL cases in the upper PRS quintile was 49% while in the lowest quintile only 5%. The PRS has a strong evidence of association with CLL (OR= 3.04, CI =2.20-4.20 for highest versus the middle quintile). When adjusting for PRS, we still found a positive association with FH for any hematological malignancy (OR = 1.90, CI = 1.25-2.88), FH of non-Hodgkin lymphoma (OR = 2.02, CI = 1.08-3.79), and FH of leukemia (OR = 1.73, CI = 0.98-3.07). When stratifying by FH, the upper quintile of the PRS had a 5.85-fold (CI = 1.69-20.3) increased risk of CLL relative to those in the middle quintile in the FH strata, and a 2.65-fold (CI = 1.75-4.01) increased risk in the non-FH strata. After adjusting for PRS, FH and age, there remained an inverse association with sun exposure in the highest quartile (hours per week) (OR = 0.49, CI = 0.31-0.79) and a positive association with height (per 10 cm change) (OR = 1.37, CI = 1.17-1.62), but there were no associations with atopy, any allergies, history of asthma, or farming. No statistical evidence of an interaction among the variables was observed. Conclusions: We found evidence of independent effects among the genetic and non-genetic factors with risk of CLL. Among these factors, the PRS had the largest effect size. Although we did not observe any statistical interactions, larger sample sizes are warranted to fully evaluate these effects on risk of CLL. We are currently increasing our sample size through collaboration with other research groups. Final results will be presented in the meeting. This abstract is also being presented as Poster A06. Citation Format: Geffen Kleinstern, Dennis Robinson, Tim G. Call, Mark Liebow, Silvia de Sanjose, Yolanda Benavente, James R. Cerhan, Susan L. Slager. Association of environmental risk factors, family history, and polygenic risk scores with chronic lymphocytic leukemia. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr PR03.
背景:慢性淋巴细胞白血病(CLL)是一种具有强烈遗传成分的淋巴细胞恶性肿瘤。有超过30种常见的单核苷酸多态性(snp)与CLL的风险相关。此外,在InterLymph Subtypes Project中,许多非遗传暴露已被发现与CLL相关,包括家族史(FH)、身高、特应性疾病史、紫外线辐射和农业暴露。然而,目前还没有研究评估这些遗传和非遗传因素对CLL风险的共同影响。方法:采用Mayo Clinic的CLL病例对照研究,对587例新诊断的CLL病例和790例对照进行分析,评估遗传和非遗传因素的联合影响。对于遗传效应,我们计算了多遗传风险评分(PRS),这是34个SNP中风险等位基因数量的加权平均值,权重为每个SNP的优势比的对数。65%的病例和79%的对照组可获得暴露数据。我们评估了FH与以下因素的个体和联合关联:任何血液恶性肿瘤、基于对照按四分位数分类的总日照、曾经在农场生活或工作、任何特应性反应、任何过敏、哮喘、身高和基于对照按五分位数分类的prs。多变量logistic回归分析用于估计优势比(ORs)和95%置信区间(ci)。结果:在我们的初步结果中,CLL病例在PRS上五分位数的频率为49%,而在最低五分位数的频率仅为5%。PRS与CLL有很强的相关性(OR= 3.04,最高五分位数与中五分位数的CI =2.20-4.20)。当调整PRS时,我们仍然发现任何血液恶性肿瘤的FH (OR = 1.90, CI = 1.25-2.88)、非霍奇金淋巴瘤的FH (OR = 2.02, CI = 1.08-3.79)和白血病的FH (OR = 1.73, CI = 0.98-3.07)与FH呈正相关。当按FH分层时,在FH层中,PRS的上五分之一相对于中间五分之一的CLL风险增加了5.85倍(CI = 1.69-20.3),在非FH层中增加了2.65倍(CI = 1.75-4.01)。在调整了PRS、FH和年龄后,在最高四分位数(每周小时数)中,与阳光照射仍然呈负相关(OR = 0.49, CI = 0.31-0.79),与身高(每10厘米变化)呈正相关(OR = 1.37, CI = 1.17-1.62),但与特应性、任何过敏、哮喘史或养殖无关。没有观察到变量之间相互作用的统计证据。结论:我们发现遗传和非遗传因素与CLL风险之间存在独立影响的证据。在这些因素中,PRS的效应量最大。虽然我们没有观察到任何统计学上的相互作用,但更大的样本量可以充分评估这些对CLL风险的影响。我们目前正在通过与其他研究小组的合作增加我们的样本量。最终结果将在会议上公布。此摘要也以海报A06的形式呈现。引用格式:Geffen Kleinstern, Dennis Robinson, Tim G. Call, Mark Liebow, Silvia de Sanjose, Yolanda Benavente, James R. Cerhan, Susan L. Slager。环境危险因素、家族史和多基因风险评分与慢性淋巴细胞白血病的关系。[摘要]。摘自:AACR特别会议论文集:改进癌症风险预测以预防和早期发现;2016年11月16日至19日;费城(PA): AACR;Cancer epidemiology Biomarkers pre2017;26(5增刊):摘要nr PR03。