Quartile Of Genetic Risk Score Research Articles

Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)

BackgroundWith prevalence up to 4%, Ventricular Septal Defect (VSD) is one of the leading causes of neonatal deaths. VSD is a common complex genetic disorder that has been associated with many genetic determinants. Variants from genes for the transcription factors including T-Box TBX5 and NFATc1 (nuclear factor of activated T cells, cytoplasmic 1), Vascular endothelial growth factor (VEGF), ISLET1 (encoded by the ISL1 gene) and enzyme MTHFR, a methylene tetrahydrofolate reductase were selected. Genetic risk score (GRS) is a widely accepted approach used to convert the genetic data into prediction and assessment tool for disease susceptibility.MethodsA total of 200 participants were recruited for the current study, 100 VSD patients and 100 controls. Genotyping of the ISL1: rs1017, NFATc1: rs7240256, VEGF: rs36208048, TBX5: rs11067075, and MTHFR: rs1801133 variants was performed using tetra primer ARMS PCR and PCR-RFLP. For the statistical analysis, the software SPSS version 23 was used. Genotypic frequencies of cases and controls were calculated using chi-square (χ²) whereas allelic frequencies were calculated by using the SNPStats tool. The association of GRS quartiles with VSD was examined using binary logistic regression. Adjusted p-value 0.01 was used as significance threshold for all analyses.ResultsThe ISL1 (OD: 0.242, CI: 0.158–0.37, p-value: 2.15 × 10− 4 :), NFATc1 (OD: 2.53, CI: 1.64–3.89, p-value: 2.11 × 10− 5), TBX5 (OD: 2.24, CI: 1.47–3.41, p-value:1.6 × 10− 4) and MTHFR (OD: 10.46, CI: 5.68–19.26, p-value: 2.09 × 10− 9:) variants were found to be in association with VSD. In contrast, the VEGF (OD: 0.952, CI: 0.56–1.62, p-value: 0.8921) variant did not show significance association with the VSD. For cases, the mean GRS score was 3.78 ± 1.285 while in controls it was 2.95 ± 1.290 (p-value: 0.479, CI: 0.474–1.190). Comparison of GRS between cases and control showed that mean GRS of cases was 1.90 ± 0.480 while in controls it was 1.68 ± 0.490 (p-value: 0.001, CI: 0.086–0.354). Higher quartiles were more prevalent in cases whereas lower quartiles were more prevalent in controls.ConclusionGRS of these five loci was strongly associated with VSD. Moreover, genetic risk score can provide better information for the association between variants and disease as compared to a single SNP. We also illustrated that the cumulative power of GRS is greater over the single SNP effect. This is a pilot scale study with a relatively small sample size whose findings should be replicated in a larger sample size for the unique local Pakistani population.

MP62-13 ASSOCIATION OF PROSTATE CANCER POLYGENIC RISK SCORE WITH NUMBER AND LATERALITY OF TUMOR CORES IN ACTIVE SURVEILLANCE PATIENTS

You have accessJournal of UrologyProstate Cancer: Localized: Active Surveillance II (MP62)1 Sep 2021MP62-13 ASSOCIATION OF PROSTATE CANCER POLYGENIC RISK SCORE WITH NUMBER AND LATERALITY OF TUMOR CORES IN ACTIVE SURVEILLANCE PATIENTS Jianfeng Xu, William Isaacs, Mufaddal Mamawala, Zhuqing Shi, Patricia Landis, Jacqueline Petkewicz, Jun Wei, W. Kyle Resurreccion, Rong Na, Yasin Bhanji, Kristian Novakovic, Patrick Walsh, S. Lilly Zheng, Brian Helfand, and Christian Pavlovich Jianfeng XuJianfeng Xu More articles by this author , William IsaacsWilliam Isaacs More articles by this author , Mufaddal MamawalaMufaddal Mamawala More articles by this author , Zhuqing ShiZhuqing Shi More articles by this author , Patricia LandisPatricia Landis More articles by this author , Jacqueline PetkewiczJacqueline Petkewicz More articles by this author , Jun WeiJun Wei More articles by this author , W. Kyle ResurreccionW. Kyle Resurreccion More articles by this author , Rong NaRong Na More articles by this author , Yasin BhanjiYasin Bhanji More articles by this author , Kristian NovakovicKristian Novakovic More articles by this author , Patrick WalshPatrick Walsh More articles by this author , S. Lilly ZhengS. Lilly Zheng More articles by this author , Brian HelfandBrian Helfand More articles by this author , and Christian PavlovichChristian Pavlovich More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002102.13AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Prostate cancer (PCa) is characterized by its tendency to be multifocal. However, few studies have investigated the endogenous factors that explain multifocal disease. The primary objective of the current study is to test whether inherited PCa risk is associated with multifocal tumors in PCa patients. METHODS: Subjects in this study were Caucasian PCa patients undergoing active surveillance (AS) at Johns Hopkins Hospital (JHH, N=805) and NorthShore University HealthSystem (NSUHS, N=432). Inherited risk was measured by genetic risk score (GRS), an odds ratio (OR)-weighted and population-standardized polygenic risk score based on known risk-associated SNPs. PCa multifocality was indirectly measured by the number and laterality of positive tumor cores from a 12-core systematic biopsy. RESULTS: In the combined cohort, 36% and 66% of patients had ≥2 tumor cores at the initial diagnostic biopsy and on at least one subsequent surveillance biopsy, respectively. For tumor laterality, 8.0% and 47% patients had bilateral tumor cores at diagnostic and surveillance biopsies, respectively. We found, for the first time, that patients with higher numbers of positive cores at diagnostic and surveillance biopsies, respectively, had significantly higher mean GRS values, p=0.02 and p<0.001 (Table). Additionally, patients with bilateral tumors at diagnostic and surveillance biopsies, respectively, had significantly higher mean GRS values than those with unilateral tumors, p=0.005 and p=0.03. In contrast, no association was found between GRS and maximum core length of tumor or tumor grade at diagnostic/surveillance biopsies (all p>0.05). Finally, we observed a modest trend that patients with higher GRS quartiles had higher risk for tumor upgrading on surveillance biopsies. The trend, however, was not statistically significant (p>0.05). CONCLUSIONS: The associations of GRS with two measurements of PCa multifocality (core numbers and laterality) provide novel and consistent evidence for the link between inherited PCa risk and multifocal tumors. Source of Funding: This study was partially supported by grants from Department of Defense (W81XWH-16-1-0764, W81XWH-16-1-0765, and W81XWH-16-1-0766) and the National Cancer Institute (P30CA006973) © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e1097-e1097 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jianfeng Xu More articles by this author William Isaacs More articles by this author Mufaddal Mamawala More articles by this author Zhuqing Shi More articles by this author Patricia Landis More articles by this author Jacqueline Petkewicz More articles by this author Jun Wei More articles by this author W. Kyle Resurreccion More articles by this author Rong Na More articles by this author Yasin Bhanji More articles by this author Kristian Novakovic More articles by this author Patrick Walsh More articles by this author S. Lilly Zheng More articles by this author Brian Helfand More articles by this author Christian Pavlovich More articles by this author Expand All Advertisement Loading ...

278-OR: Ancestry-Specific Genetic Risk Scores of Type 2 Diabetes and Longitudinal Fetal Growth in a Race-Ethnic Diverse Population

It is well documented that maternal type 2 diabetes (T2D) is related to fetal overgrowth. Further, maternal T2D genetic risk score (GRS) has been associated with increased offspring birthweight. However, the earliest gestational age when fetal growth starts to be associated with T2D GRS is unknown. We investigated the associations between maternal T2D GRS and longitudinal ultrasound measured fetal weight. We included 1,513 women of diverse race/ethnicity from the NICHD Fetal Growth Studies-singleton cohort. Women were enrolled at gestational weeks 8-13 and randomly assigned to four ultrasound schedules to capture weekly fetal growth. Genome-wide single nucleotide polymorphisms (SNPs) previously known to be associated with T2D in European-, African-, and Asian- ancestry populations (380, 104, and 19 SNPs, respectively) were used to calculate weighted GRS. The analysis involved European GRS for Whites and Hispanics, African GRS for Blacks and Asian GRS for Asians. Associations between quartiles of GRS and fetal weight were adjusted for pre-pregnancy BMI, population structure, fetal sex and gestational weeks. Among Whites, the highest quartile of European GRS was related to a 53.8 g increment in fetal weight (95% CI 19.2-88.5 g) over the pregnancy, and across 24 to 40 weeks (from 15.8 g increase at week 24 to 196.0 g increase at week 40). Similar findings were observed in analysis that excluded women with impaired glucose tolerance. African-, European- and Asian-GRSs were not significantly associated with fetal weight among other race/ethnic groups. Genetic susceptibility to T2D based on European-specific GRS among Whites was related to increased fetal weight starting at week 24 even among normal glycemia women, suggesting an early influence of genetic factors on fetal growth. Absence of similar associations in non-Whites is likely due to the small number of established T2D genetic loci warranting the need for genetic studies of T2D in diverse populations. Disclosure M. Ouidir: None. X. Zeng: None. S. Chatterjee: None. C. Zhang: None. F. Tekola-ayele: None.

Association of prostate cancer polygenic risk score with number and laterality of tumor cores in active surveillance patients.

Prostate cancer (PCa) is characterized by its tendency to be multifocal. However, few studies have investigated the endogenous factors that explain the multifocal disease. The primary objective of the current study is to test whether inherited PCa risk is associated with multifocal tumors in PCa patients. Subjects in this study were PCa patients of European ancestry undergoing active surveillanceat Johns Hopkins Hospital (N = 805) and NorthShore University HealthSystem (N = 432). The inherited risk was measured by genetic risk score (GRS), an odds ratio-weighted and population-standardized polygenic risk score based on known risk-associated single nucleotide polymorphisms. PCa multifocality was indirectly measured by the number and laterality of positive tumor cores from a 12-core systematic biopsy. In the combined cohort, 35.7% and 66.3% of patients had ≥2 tumor cores at the initial diagnostic biopsy and on at least one subsequent surveillance biopsy, respectively. For tumor laterality, 7.8% and 47.8% of patients had bilateral tumor cores at diagnostic and surveillance biopsies, respectively. We found, for the first time, that patients with higher numbers of positive cores at diagnostic and surveillance biopsies, respectively, had significantly higher mean GRS values; p = .01 and p = 5.94E-04. Additionally, patients with bilateral tumors at diagnostic and surveillance biopsies, respectively, had significantly higher mean GRS values than those with unilateral tumors; p = .04 and p = .01. In contrast, no association was found between GRS and maximum core length of tumor or tumor grade at diagnostic/surveillance biopsies (all p > .05). Finally, we observed a modest trend that patients with higher GRS quartiles had a higher risk for tumor upgrading on surveillance biopsies. The trend, however, was not statistically significant (p > .05). The associations of GRS with two measurements of PCa multifocality (core numbers and laterality) provide novel and consistent evidence for the link between inherited PCa risk and multifocal tumors.

Genetic factors increase the identification efficiency of predictive models for dyslipidaemia: a prospective cohort study

BackgroundFew studies have developed risk models for dyslipidaemia, especially for rural populations. Furthermore, the performance of genetic factors in predicting dyslipidaemia has not been explored. The purpose of this study is to develop and evaluate prediction models with and without genetic factors for dyslipidaemia in rural populations.MethodsA total of 3596 individuals from the Henan Rural Cohort Study were included in this study. According to the ratio of 7:3, all individuals were divided into a training set and a testing set. The conventional models and conventional+GRS (genetic risk score) models were developed with Cox regression, artificial neural network (ANN), random forest (RF), and gradient boosting machine (GBM) classifiers in the training set. The area under the receiver operating characteristic curve (AUC), net reclassification index (NRI), and integrated discrimination index (IDI) were used to assess the discrimination ability of the models, and the calibration curve was used to show calibration ability in the testing set.ResultsCompared to the lowest quartile of GRS, the hazard ratio (HR) (95% confidence interval (CI)) of individuals in the highest quartile of GRS was 1.23(1.07, 1.41) in the total population. Age, family history of diabetes, physical activity, body mass index (BMI), triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were used to develop the conventional models, and the AUCs of the Cox, ANN, RF, and GBM classifiers were 0.702(0.673, 0.729), 0.736(0.708, 0.762), 0.787 (0.762, 0.811), and 0.816(0.792, 0.839), respectively. After adding GRS, the AUCs increased by 0.005, 0.018, 0.023, and 0.015 with the Cox, ANN, RF, and GBM classifiers, respectively. The corresponding NRI and IDI were 25.6, 7.8, 14.1, and 18.1% and 2.3, 1.0, 2.5, and 1.8%, respectively.ConclusionGenetic factors could improve the predictive ability of the dyslipidaemia risk model, suggesting that genetic information could be provided as a potential predictor to screen for clinical dyslipidaemia.Trial registrationThe Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register. (Trial registration: ChiCTR-OOC-15006699. Registered 6 July 2015 - Retrospectively registered).

Genetic determinants of gestational diabetes mellitus: a case-control study in two independent populations.

Genetic risk score (GRS) is more informative to identify the complicated associations between variants of genes and disease. Considering similar pathogenesis and shared genetic predispositions between gestational diabetes mellitus (GDM) and type 2 diabetes/obesity, we conducted this study to explore whether the GRS model integrating variants related to type 2 diabetes/obesity is also associated with GDM risk. A population-based case-control study that included 1429 subjects was conducted to investigate the association between the GRS model and GDM risk, which were analyzed employing stratified logistic regression analysis with the adjustment for age, BMI, parity and family history of diabetes. We have screened 23 SNPs and further filtered six SNPs that were significantly associated with the risk of GDM: four risk SNPs (MTNR1B: rs10830963, rs1387153, rs2166706; MC4R: rs2229616) and two protective SNPs (MTNR1B: rs1447352 and rs4753426). The GRS model with a higher score indicated a higher genetic predisposition to develop GDM, especially in the highest quartile of GRS (all P < 0.001) and the strata of advanced maternal age (all P < 0.001) and obesity (all P = 0.005). In this study, six SNPs were explored and further identified to be associated with GDM risk, which suggested GRSs including these polymorphisms might participate in facilitating GDM risk. These findings offer the potential to improve our understanding of the etiology of GDM.

Adiposity Genetic Risk Score Modifies the Association Between Blood Lead Level and Body Mass Index.

Previous epidemiological studies had inconsistent results regarding the relationship between blood lead level (BLL) and adiposity. We aimed to investigate the associations of BLL with body mass index (BMI) particularly using Mendelian randomization analyses and examine the interaction between obesity-predisposing genes and BLL on the associations. A total of 3922 participants were enrolled from 16 sites in East China in 2014 from the Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (ChiCTR-ECS-14005052, www.chictr.org.cn). We calculated the weighted BMI genetic risk score (GRS) based on 29 variants that were identified and validated in East Asians. BLL was measured by atomic absorption spectrometry. BMI was calculated, and BMI ≥25 kg/m2 was defined as overweight. Multivariable logistic regression analysis demonstrated significant associations between BMI with each unit increase in lnBLL (β = 0.24; 95% CI, 0.08 to 0.40; P < 0.001) and each 1-point increase in BMI-GRS (β = 0.08; 95% CI, 0.05 to 0.11; P < 0.001). The causal regression coefficients of genetically determined BMI for lnBLL were -0.003 (95% CI, -0.075 to 0.070), which showed no significance. The GRS modified the association of BLL with BMI and overweight (BMI ≥25 kg/m2; P for interaction = 0.031 and 0.001, respectively). Each unit of lnBLL was associated with 63% higher odds of overweight (OR 1.63; 95% CI, 1.30 to 2.05) in the highest quartile of GRS, but no significant associations were found in the lower three quartiles. The associations of BLL with BMI and overweight (BMI ≥25 kg/m2) were significantly modulated by BMI genetic susceptibility.

Abstract LB-158: Longitudinal associations of lifetime adiposity with leukocyte telomere length and mitochondrial DNA copy number

Abstract Adiposity may cause adverse health outcomes by increasing oxidative stress and systemic inflammation, which can be reflected by altered telomere length (TL) and mitochondrial DNA copy number (mtCN) in peripheral blood leukocytes. However, little is known about the influence of lifetime adiposity on TL and mtCN in later life. This study was performed to investigate the associations of lifetime adiposity with leukocyte TL and mtCN in 9613 participants from the Nurses' Health Study. A group-based trajectory modelling approach was used to create trajectories of body shape from age 5 through 60 years, and a genetic risk score (GRS) was created based on 97 known adiposity susceptibility loci. Associations of body shape trajectories and GRS with dichotomized TL and mtCN were assessed by logistic regression models. After adjustment for lifestyle and dietary factors, compared with the lean-stable group, the lean-marked increase group had higher odds of having below-median TL (OR = 1.18, 95% CI: 1.04, 1.35; P = 0.01), and the medium-marked increase group had higher odds of having below-median mtCN (OR = 1.28, 95% CI:1.00,1.64; P = 0.047). There was a suggestive trend toward lower mtCN across the GRS quartiles (P for trend = 0.07). In conclusion, telomere attrition may be accelerated by marked weight gain in middle life, whereas mtCN is likely to be reduced persistently by adiposity over the life course. The findings indicate the importance of lifetime weight management to preserve functional telomeres and mitochondria. Citation Format: Dong Hang, Hongmei Nan, Ane Sørlie Kværner, Immaculata De Vivo, Andrew T. Chan, Zhibin Hu, Hongbing Shen, Edward Giovannucci, Mingyang Song. Longitudinal associations of lifetime adiposity with leukocyte telomere length and mitochondrial DNA copy number [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-158.

Longitudinal associations of lifetime adiposity with leukocyte telomere length and mitochondrial DNA copy number.

Adiposity may cause adverse health outcomes by increasing oxidative stress and systemic inflammation, which can be reflected by altered telomere length (TL) and mitochondrial DNA copy number (mtCN) in peripheral blood leukocytes. However, little is known about the influence of lifetime adiposity on TL and mtCN in later life. This study was performed to investigate the associations of lifetime adiposity with leukocyte TL and mtCN in 9613 participants from the Nurses' Health Study. A group-based trajectory modelling approach was used to create trajectories of body shape from age 5 through 60years, and a genetic risk score (GRS) was created based on 97 known adiposity susceptibility variants. Associations of body shape trajectories and GRS with dichotomized TL and mtCN were assessed by logistic regression models. After adjustment for lifestyle and dietary factors, compared with the lean-stable group, the lean-marked increase group had higher odds of having below-median TL (OR = 1.18, 95% CI 1.04, 1.35; P = 0.01), and the medium-marked increase group had higher odds of having below-median mtCN (OR = 1.28, 95% CI 1.00, 1.64; P = 0.047). There was a suggestive trend toward lower mtCN across the GRS quartiles (P for trend = 0.07). In conclusion, telomere attrition may be accelerated by marked weight gain in middle life, whereas mtCN is likely to be reduced persistently by adiposity over the life course. The findings indicate the importance of lifetime weight management to preserve functional telomeres and mitochondria.

Genetic Risk Analysis of Coronary Artery Disease in a Population-based Study in Portugal, Using a Genetic Risk Score of 31 Variants.

BackgroundGenetic risk score can quantify individual’s predisposition to coronary artery disease; however, its usefulness as an independent risk predictor remains inconclusive.ObjectiveTo evaluate the incremental predictive value of a genetic risk score to traditional risk factors associated with coronary disease.MethodsThirty-three genetic variants previously associated with coronary disease were analyzed in a case-control population with 2,888 individuals. A multiplicative genetic risk score was calculated and then divided into quartiles, with the 1st quartile as the reference class. Coronary risk was determined by logistic regression analysis. Then, a second logistic regression was performed with traditional risk factors and the last quartile of the genetic risk score. Based on this model, two ROC curves were constructed with and without the genetic score and compared by the Delong test. Statistical significance was considered when p values were less than 0.05.ResultsThe last quartile of the multiplicative genetic risk score revealed a significant increase in coronary artery disease risk (OR = 2.588; 95% CI: 2.090-3.204; p < 0.0001). The ROC curve based on traditional risk factors estimated an AUC of 0.72, which increased to 0.74 when the genetic risk score was added, revealing a better fit of the model (p < 0.0001).ConclusionsIn conclusion, a multilocus genetic risk score was associated with an increased risk for coronary disease in our population. The usual model of traditional risk factors can be improved by incorporating genetic data.

Abstract P094: Genetic Risk, Incident Coronary Heart Disease Events, and the Benefits of a Healthy Lifestyle: Joint and Interacting Effects Across Four US Cohorts

Background: Recent GWAS revealed single nucleotide polymorphisms (SNPs) that cumulatively increase risk of CHD in those of European ancestry. We quantified the magnitude of preventive effects of healthy lifestyle against the countervailing effects of genetic risk on incident CHD, and assessed potential interactions. Methods: We extracted SNPs of genome-wide significance (&lt;5 x 10 -8 ) for CHD from CARDIoGRAMplusC4 GWAS, and created a weighted 57-SNP genetic risk score (GRS). Baseline covariates, healthy lifestyle score (including diet pattern, physical activity, smoking and BMI), and incident CHD were harmonized across 4 US cohorts (WHI, ARIC, CHS, and MESA) using dbGaP data. Pooled analyses were run using one-step individual participant data multivariate regressions in Caucasians without prevalent CVD. Results: Among 22,412 adults, the GRS was associated with incident CHD (n = 3001 cases) across each cohort (pooled GRS quintile (Q)5 vs Q1, RR (95% CI): 1.59 (1.41-1.79)), independent of all demographic and lifestyle variables. The lifestyle score was more strongly associated with CHD (pooled Q1 vs Q5, RR: 1.94 (1.71-2.20)) than the GRS, and better discriminated those who had a CHD event ( P =0.025 for difference in AUROC curves). When compared to population-level analysis, joint effects analysis revealed significant heterogeneity within quartiles of lifestyle score on risk of incident CHD ( Table ). Interactions between the GRS and diet pattern ( P =0.022) and trans fats ( P =0.046) were observed. Effects of trans fats on CHD risk appear to be concentrated in those with a higher GRS: for trans fats &gt;2.4% of energy, RRs for increasing GRS quartiles are 0.92 (0.62-1.36), 1.13 (0.79-1.62), 1.43 (1.01-2.01), and 1.84 (1.30-2.61), compared to those in the lowest quartile of trans fat (&lt;1.3% of energy) and lowest GRS quartile. Conclusion: A joint effects approach reveals significant inter-individual variability in lifestyle on CHD risk by underlying genetic risk that is obscured by a conventional population-level effects approach.

A genetic risk score is associated with polycystic ovary syndrome-related traits

Is a genetic risk score (GRS) associated with polycystic ovary syndrome (PCOS) and its related clinical features? The GRS calculated by genome-wide association studies (GWASs) was significantly associated with PCOS status and its related clinical features. PCOS is a heterogeneous disorder and is characterized by oligomenorrhea, hyperandrogenism and polycystic ovary morphology. Although recent GWASs have identified multiple genes associated with PCOS, a comprehensive genetic risk study of these loci with PCOS and related traits (e.g. free testosterone, menstruation number/year and ovarian morphology) has not been performed. This study was designed as a cross-sectional case-control study. We recruited 862 women with PCOS and 860 controls. Women with PCOS were divided into four subgroups: (1) oligomenorrhea + hyperandrogenism + polycystic ovary, (2) oligomenorrhea + hyperandrogenism, (3) oligomenorrhea + polycystic ovary and (4) hyperandrogenism + polycystic ovary. Genomic DNA was genotyped for the PCOS susceptibility loci using the HumanOmni1-Quad v1 array. Venous blood was drawn in the early follicular phase to measure baseline metabolic and hormonal parameters. A GRS was calculated by summing the number of risk alleles from 11 single-nucleotide polymorphisms (SNPs) that were identified in previous GWASs on PCOS. A weighted GRS (wGRS) was calculated by multiplying the number of risk alleles for each SNP by its estimated effect (beta) obtained from the association analysis. The GRS was higher in women with PCOS than in controls (8.8 versus 8.2, P < 0.01) and was significantly associated with PCOS after adjusting for age and BMI. An analysis of GRS quartiles (Q1 = 3-5, Q2 = 6-8, Q3 = 9-11, Q4 = 12-15) revealed that the subjects in the highest quartile showed a remarkable increased risk of PCOS compared with those in the lowest quartile (odds ratio = 6.28, P < 0.001). Free testosterone level, menstruation number per year, ovarian volume and ovarian follicle numbers were significantly associated with the GRS (in all cases, P < 0.01). The wGRS yielded similar results. We used 11 loci for the calculation of GRS, but a higher number of PCOS risk alleles was reported in previous studies. Therefore, further studies should assess the value of GRS including the additional SNPs related to PCOS. Although a GRS of ≥12 was significantly associated with PCOS, the GRS showed a poor predictive value; therefore, the use of genetic information based on current GWAS data only may present problems. The GRS could be used to identify asymptomatic individuals among people at risk and stratify them into accurate risk categories for the purpose of individualizing treatment approaches, which could potentially improve health outcomes. None of the authors have any conflicts of interest to declare. No funding was obtained for the study.

Diabetes Genetic Risk Score Modifies Effect of Bisphenol A Exposure on Deterioration in Glucose Metabolism.

Epidemiology studies showed inconsistent results regarding the relationship between bisphenol A (BPA) exposure and risk of type 2 diabetes (T2D). This study sought to prospectively investigate associations of BPA with incident T2D risk and the longitudinal changes in glycemic traits, particularly examining the interaction between gene and BPA exposure on the associations. A community-based study was conducted at baseline in 2009, including 2209 nondiabetic middle-age and elderly subjects followed for 4 y. Urinary BPA levels were measured at baseline. A genetic risk score (GRS) based on 34 T2D common variants that identified and validated in East Asians was created. Incident T2D was defined according to the 1999 World Health Organization criteria. Fasting (FPG) and 2-h post-loading plasma glucose were measured at baseline and followup. Multivariable logistic regression analysis demonstrated no significant association of risk of incident T2D with BPA while with increase in the weighted T2D-GRS (odds ratio, 1.89; 95% confidence interval, 1.31-2.72 for each 10-point increment). Similar results were found in 4-y changes of FPG and 2-h post-loading plasma glucose. The GRS modified the effect of BPA exposure on 4-y changes in FPG (P for interaction = .01). Each 1 unit of Log_BPA was associated with 0.1 mmol/L increase in FPG (P = .007) in the highest quartile of GRS; no associations were found in the lower three quartiles of GRS. The T2D genetic susceptibility significantly modulated the association of BPA exposure with longitudinal increase in FPG levels.

Risk prediction of colorectal cancer with common genetic variants and conventional non-genetic factors in a Chinese Han population

To understand the association between multiple genetic loci identified by genome-wide association studies (GWASs) and colorectal cancer (CRC) risk, and whether these genetic factors, along with traditional risk factors, could contribute to the colorectal cancer risk prediction in a Chinese Han population. A case-control study (1 066 CRC cases and 3 880 controls) was initially conducted to assess the association between 21 recently discovered single-nucleotide polymorphisms (SNPs) and CRC risk. Genetic risk score (GRS) and weighted genetic risk score (wGRS) were calculated to evaluate the joint effects of selected loci. Multiple models combining genetic and non-genetic factors were established and receiver operating characteristic curve analysis was used to compare the discriminatory power of different predictive models. There were 7 SNPs significantly associated with CRC susceptibility. As the GRS or wGRS increased, the risk of CRC also increased (trend P=0.002 6 for GRS, trend P<0.000 1 for wGRS). The ORs for highest versus lowest quartile of GRS and wGRS were 1.33 (95% CI: 1.12-1.58, P=0.001 0) and 1.76 (95% CI: 1.45-2.14, P<0.000 1) , respectively. The model incorporating wGRS and traditional risk factors, including sex, age, smoking and drinking, was the best one to predict CRC risk in this population, with an area under curve of 0.593 (95% CI: 0.573-0.613). Multiple genetic loci identified by GWASs jointly influenced the CRC risk. The combination of genetic factors and conventional non-genetic factors improved the performance of risk predictive model for colorectal cancer.

Association of type 2 diabetes genetic variants with breast cancer survival among Chinese women.

ObjectiveTo evaluate whether the genetic susceptibility of T2D was associated with overall survival (OS) and disease-free survival (DFS) outcomes for breast cancer (BC).MethodsIncluded in the study were 6346 BC patients who participated in three population-based epidemiological studies of BC and were genotyped with either GWAS or Exome-chip. We constructed a genetic risk score (GRS) for diabetes using risk variants identified from the GWAS catalog (http://genome.gov/gwastudies) that were associated with T2D risk at a minimum significance level of P ≤ 5.0E-8 among Asian population and evaluated its associations with BC outcomes with Cox proportional hazards models.ResultsDuring a median follow-up of 8.08 years (range, 0.01–16.95 years), 1208 deaths were documented in 6346 BC patients. Overall, the diabetes GRS was not associated with OS and DFS. Analyses stratified by estrogen receptor status (ER) showed that the diabetes GRS was inversely associated with OS among women with ER- but not in women with ER+ breast cancer; the multivariable adjusted HR was 1.38 (95% CI: 1.05–1.82) when comparing the highest to the lowest GRS quartiles. The association of diabetes GRS with OS varied by diabetes status (P for interaction <0.01). In women with history of diabetes, higher diabetes GRS was significantly associated with worse OS, with HR of 2.22 (95% CI: 1.28–3.88) for the highest vs. lowest quartile, particularly among women with an ER- breast cancer, with corresponding HR being 4.59 (95% CI: 1.04–20.28). No significant association between the diabetes GRS and OS was observed across different BMI and PR groups.ConclusionsOur study suggested that genetic susceptibility of T2D was positively associated with total mortality among women with ER- breast cancer, particularly among subjects with a history of diabetes. Additional studies are warranted to verify the associations and elucidate the underlying biological mechanism.

Su1773 The Small GTPase Sar1b: Expression Profile in Different Organs and Regulation by Dietary Lipids in Animal and Cell Models

Non-Hispanic Whites and US Hisp. US Hisp had a greater correlation of genetic burden to shorter time to diagnosis of IBD compared to FBH (p=0.04); those in the highest quartile of genetic risk score developed IBD on average 6 to 8 years earlier than those with a lower genetic burden (p=0.05). Conversely, time from emigration to development of IBD in FBH did not correlate with genetic burden. A higher genetic risk score correlates with a younger age of diagnosis in both US Hisp and in Non-Hispanic Whites but not in FBH. Future studies should address which genetic loci most closely correlate with a younger age of diagnosis and perhaps more aggressive IBD. These data suggest that environmental rather than genetic factors may dictate age of presentation in immigrants. 1. Jostins L, Ripke S, Weersma RK, et al. Host Microbiome interactions have shaped the genetic architecture of IBD. Nature. 2012; 491 (7422): 1999-24. Table 1. Inflammatory Bowel Disease (IBD) Demographics in Hispanics and Non-Hispanic Whites

Obesity Genotype Score and Cardiovascular Risk in Women With Type 2 Diabetes Mellitus

To investigate the associations between obesity-predisposing genetic variants, cardiovascular biomarkers, and cardiovascular disease (CVD) risk in women with preexisting type 2 diabetes mellitus. We genotyped polymorphisms at nine established obesity loci in 1,395 women with diabetes from the Nurses' Health Study: 449 women developed CVD, and 946 women did not develop CVD. A genetic risk score (GRS) was derived by summing risk alleles for each individual. Four polymorphisms (rs9939609 [FTO], rs11084753 [KCTD15], rs10838738 [MTCH2], and rs10938397 [GNPDA2]) showed nominally significant associations with CVD. The GRS combining all obesity loci was linearly related to CVD risk (P = 0.013 for trend). The odds ratio was 1.08 per risk allele (95% confidence interval, 1.02-1.15; P = 0.01) after adjustment for body mass index and other conventional risk factors. Women with the highest quartile of GRS had 53% (95% confidence interval, 6%-122%) increased CVD risk, compared with those in the lowest quartile of GRS (P = 0.024). In addition, a higher GRS was associated with lower adiponectin levels (P = 0.02). Further adjustment for body mass index and other covariates did not change the association (P = 0.006). A higher GRS was also correlated with lower levels of high-density lipoprotein (P = 0.01). Obesity-predisposing variants may jointly affect CVD risk among women with diabetes.