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William G. Christen - One of the best experts on this subject based on the ideXlab platform.
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Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes.
American journal of ophthalmology, 2019Co-Authors: Vincent Laville, Jae H Kang, Adriana I Iglesias, Clara C. Cousins, Reka Nagy, Jessica N. Cooke Bailey, Robert P. Igo, Yeunjoo Song, Daniel I. Chasman, William G. ChristenAbstract:Purpose A genetic correlation is the proportion of phenotypic variance between traits that is shared on a genetic basis. Here we explore genetic correlations between diabetes- and glaucoma-related traits. Design Cross-sectional study. Methods We assembled genome-wide association study summary statistics from European-derived participants regarding diabetes-related traits like fasting blood sugar (FBS) and type 2 diabetes (T2D) and glaucoma-related traits (intraocular pressure [IOP], central corneal thickness [CCT], corneal hysteresis [CH], corneal resistance factor [CRF], cup-to-disc ratio [CDR], and primary open-angle glaucoma [POAG]). We included data from the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database, the UK Biobank, and the International Glaucoma Genetics Consortium. We calculated genetic correlation (rg) between traits using linkage disequilibrium score regression. We also calculated genetic correlations between IOP, CCT, and select diabetes-related traits based on individual level phenotype data in 2 Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines. Results Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (rg = −0.14; P = .16). Using Sequential Oligogenic Linkage Analysis Routines, the genetic correlations between measured IOP, CCT, FBS, fasting insulin, and hemoglobin A1c were null. In contrast, genetic correlations between IOP and POAG (rg ≥ 0.45; P ≤ 3.0 × 10−4) and between CDR and POAG were high (rg = 0.57; P = 2.8 × 10−10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rg range −0.18 to 0.11) and nonsignificant (P ≥ .07). Conclusion These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits.
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age at natural menopause genetic risk score in relation to age at natural menopause and primary open angle glaucoma in a us based sample
Menopause, 2017Co-Authors: Louis R Pasquale, Hugues Aschard, Jae H Kang, Jessica Cooke N Bailey, Rand R Allingham, Allison E Ashleykoch, Daniel I. Chasman, William G. Christen, Sara Lindstrom, Richard K LeeAbstract:Author(s): Pasquale, Louis R; Aschard, Hugues; Kang, Jae H; Bailey, Jessica N Cooke; Lindstrom, Sara; Chasman, Daniel I; Christen, William G; Allingham, R Rand; Ashley-Koch, Allison; Lee, Richard K; Moroi, Sayoko E; Brilliant, Murray H; Wollstein, Gadi; Schuman, Joel S; Fingert, John; Budenz, Donald L; Realini, Tony; Gaasterland, Terry; Gaasterland, Douglas; Scott, William K; Singh, Kuldev; Sit, Arthur J; Igo, Robert P; Song, Yeunjoo E; Hark, Lisa; Ritch, Robert; Rhee, Douglas J; Gulati, Vikas; Havens, Shane; Vollrath, Douglas; Zack, Donald J; Medeiros, Felipe; Weinreb, Robert N; Pericak-Vance, Margaret A; Liu, Yutao; Kraft, Peter; Richards, Julia E; Rosner, Bernard A; Hauser, Michael A; Haines, Jonathan L; Wiggs, Janey L | Abstract: OBJECTIVE:Several attributes of female reproductive history, including age at natural menopause (ANM), have been related to primary open-angle glaucoma (POAG). We assembled 18 previously reported common genetic variants that predict ANM to determine their association with ANM or POAG. METHODS:Using data from the Nurses' Health Study (7,143 women), we validated the ANM weighted genetic risk score in relation to self-reported ANM. Subsequently, to assess the relation with POAG, we used data from 2,160 female POAG cases and 29,110 controls in the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (NEIGHBORHOOD), which consists of 8 datasets with imputed genotypes to 5.6+ million markers. Associations with POAG were assessed in each dataset, and site-specific results were meta-analyzed using the inverse weighted variance method. RESULTS:The genetic risk score was associated with self-reported ANM (P = 2.2 × 10) and predicted 4.8% of the variance in ANM. The ANM genetic risk score was not associated with POAG (Odds Ratio (OR) = 1.002; 95% Confidence Interval (CI): 0.998, 1.007; P = 0.28). No single genetic variant in the panel achieved nominal association with POAG (P ≥0.20). Compared to the middle 80 percent, there was also no association with the lowest 10 percentile or highest 90 percentile of genetic risk score with POAG (OR = 0.75; 95% CI: 0.47, 1.21; P = 0.23 and OR = 1.10; 95% CI: 0.72, 1.69; P = 0.65, respectively). CONCLUSIONS:A genetic risk score predicting 4.8% of ANM variation was not related to POAG; thus, genetic determinants of ANM are unlikely to explain the previously reported association between the two phenotypes.
Jae H Kang - One of the best experts on this subject based on the ideXlab platform.
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Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes.
American journal of ophthalmology, 2019Co-Authors: Vincent Laville, Jae H Kang, Adriana I Iglesias, Clara C. Cousins, Reka Nagy, Jessica N. Cooke Bailey, Robert P. Igo, Yeunjoo Song, Daniel I. Chasman, William G. ChristenAbstract:Purpose A genetic correlation is the proportion of phenotypic variance between traits that is shared on a genetic basis. Here we explore genetic correlations between diabetes- and glaucoma-related traits. Design Cross-sectional study. Methods We assembled genome-wide association study summary statistics from European-derived participants regarding diabetes-related traits like fasting blood sugar (FBS) and type 2 diabetes (T2D) and glaucoma-related traits (intraocular pressure [IOP], central corneal thickness [CCT], corneal hysteresis [CH], corneal resistance factor [CRF], cup-to-disc ratio [CDR], and primary open-angle glaucoma [POAG]). We included data from the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database, the UK Biobank, and the International Glaucoma Genetics Consortium. We calculated genetic correlation (rg) between traits using linkage disequilibrium score regression. We also calculated genetic correlations between IOP, CCT, and select diabetes-related traits based on individual level phenotype data in 2 Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines. Results Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (rg = −0.14; P = .16). Using Sequential Oligogenic Linkage Analysis Routines, the genetic correlations between measured IOP, CCT, FBS, fasting insulin, and hemoglobin A1c were null. In contrast, genetic correlations between IOP and POAG (rg ≥ 0.45; P ≤ 3.0 × 10−4) and between CDR and POAG were high (rg = 0.57; P = 2.8 × 10−10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rg range −0.18 to 0.11) and nonsignificant (P ≥ .07). Conclusion These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits.
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genetic correlations between intraocular pressure blood pressure and primary open angle glaucoma a multi cohort analysis
European Journal of Human Genetics, 2017Co-Authors: Hugues Aschard, Jae H Kang, Adriana I Iglesias, Pirro G Hysi, Jessica Cooke N Bailey, Anthony P Khawaja, Rand R Allingham, Allison E Ashleykoch, Richard K Lee, Sayoko E MoroiAbstract:Primary open-angle glaucoma (POAG) is the most common chronic optic neuropathy worldwide. Epidemiological studies show a robust positive relation between intraocular pressure (IOP) and POAG and modest positive association between IOP and blood pressure (BP), while the relation between BP and POAG is controversial. The International Glaucoma Genetics Consortium (n=27 558), the International Consortium on Blood Pressure (n=69 395), and the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (n=37 333), represent genome-wide data sets for IOP, BP traits and POAG, respectively. We formed genome-wide significant variant panels for IOP and diastolic BP and found a strong relation with POAG (odds ratio and 95% confidence interval: 1.18 (1.14–1.21), P=1.8 × 10−27) for the former trait but no association for the latter (P=0.93). Next, we used linkage disequilibrium (LD) score regression, to provide genome-wide estimates of correlation between traits without the need for additional phenotyping. We also compared our genome-wide estimate of heritability between IOP and BP to an estimate based solely on direct measures of these traits in the Erasmus Rucphen Family (ERF; n=2519) study using Sequential Oligogenic Linkage Analysis Routines (SOLAR). LD score regression revealed high genetic correlation between IOP and POAG (48.5%, P=2.1 × 10−5); however, genetic correlation between IOP and diastolic BP (P=0.86) and between diastolic BP and POAG (P=0.42) were negligible. Using SOLAR in the ERF study, we confirmed the minimal heritability between IOP and diastolic BP (P=0.63). Overall, IOP shares genetic basis with POAG, whereas BP has limited shared genetic correlation with IOP or POAG.
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age at natural menopause genetic risk score in relation to age at natural menopause and primary open angle glaucoma in a us based sample
Menopause, 2017Co-Authors: Louis R Pasquale, Hugues Aschard, Jae H Kang, Jessica Cooke N Bailey, Rand R Allingham, Allison E Ashleykoch, Daniel I. Chasman, William G. Christen, Sara Lindstrom, Richard K LeeAbstract:Author(s): Pasquale, Louis R; Aschard, Hugues; Kang, Jae H; Bailey, Jessica N Cooke; Lindstrom, Sara; Chasman, Daniel I; Christen, William G; Allingham, R Rand; Ashley-Koch, Allison; Lee, Richard K; Moroi, Sayoko E; Brilliant, Murray H; Wollstein, Gadi; Schuman, Joel S; Fingert, John; Budenz, Donald L; Realini, Tony; Gaasterland, Terry; Gaasterland, Douglas; Scott, William K; Singh, Kuldev; Sit, Arthur J; Igo, Robert P; Song, Yeunjoo E; Hark, Lisa; Ritch, Robert; Rhee, Douglas J; Gulati, Vikas; Havens, Shane; Vollrath, Douglas; Zack, Donald J; Medeiros, Felipe; Weinreb, Robert N; Pericak-Vance, Margaret A; Liu, Yutao; Kraft, Peter; Richards, Julia E; Rosner, Bernard A; Hauser, Michael A; Haines, Jonathan L; Wiggs, Janey L | Abstract: OBJECTIVE:Several attributes of female reproductive history, including age at natural menopause (ANM), have been related to primary open-angle glaucoma (POAG). We assembled 18 previously reported common genetic variants that predict ANM to determine their association with ANM or POAG. METHODS:Using data from the Nurses' Health Study (7,143 women), we validated the ANM weighted genetic risk score in relation to self-reported ANM. Subsequently, to assess the relation with POAG, we used data from 2,160 female POAG cases and 29,110 controls in the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (NEIGHBORHOOD), which consists of 8 datasets with imputed genotypes to 5.6+ million markers. Associations with POAG were assessed in each dataset, and site-specific results were meta-analyzed using the inverse weighted variance method. RESULTS:The genetic risk score was associated with self-reported ANM (P = 2.2 × 10) and predicted 4.8% of the variance in ANM. The ANM genetic risk score was not associated with POAG (Odds Ratio (OR) = 1.002; 95% Confidence Interval (CI): 0.998, 1.007; P = 0.28). No single genetic variant in the panel achieved nominal association with POAG (P ≥0.20). Compared to the middle 80 percent, there was also no association with the lowest 10 percentile or highest 90 percentile of genetic risk score with POAG (OR = 0.75; 95% CI: 0.47, 1.21; P = 0.23 and OR = 1.10; 95% CI: 0.72, 1.69; P = 0.65, respectively). CONCLUSIONS:A genetic risk score predicting 4.8% of ANM variation was not related to POAG; thus, genetic determinants of ANM are unlikely to explain the previously reported association between the two phenotypes.
Dewi Kania Widyawati - One of the best experts on this subject based on the ideXlab platform.
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perancangan struktur data warehouseuntuk mendukung perencanaan pemasaran produk menggunakan star schema the design of warehouse data structure to support product marketing plan using star schema
Jurnal ESAI (ISSN No. 1978-6034), 2012Co-Authors: Dewi Kania WidyawatiAbstract:Warehouse data is a Database form that has high capacity data and is not Operational. Warehouse data structure of product marketing is developed using star schema so that it can fulfil the need of product marketing information with a variety of dimension criteria. The data recorded into product marketing warehouse data is extracted from the data in Operational Database. By implementing this warehouse data, company leader will be able to evaluate and plan products easily based on specific marketing regions and evaluate the performance of agent who becomes his/her partner. In order that the data in product marketing warehouse data can be accessed easily, it is necessary to develop a special application and the warehouse data structure needs to be developed continuously so that it becomes more comprehensive. Keywords: Database, warehouse data, star schema.
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the design of warehouse data structure to support product marketing plan using star schema perancangan struktur data warehouse untuk mendukung perencanaan pemasaran produk menggunakan star schema
2012Co-Authors: Dewi Kania WidyawatiAbstract:Warehouse data is a Database form that has high capacity data and is not Operational. Warehouse data structure of product marketing is developed using star schema so that it can fulfil the need of product marketing information with a variety of dimension criteria. The data recorded into product marketing warehouse data is extracted from the data in Operational Database. By implementing this warehouse data, company leader will be able to evaluate and plan products easily based on specific marketing regions and evaluate the performance of agent who becomes his/her partner. In order that the data in product marketing warehouse data can be accessed easily, it is necessary to develop a special application and the warehouse data structure needs to be developed continuously so that it becomes more comprehensive.
Richard K Lee - One of the best experts on this subject based on the ideXlab platform.
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genetic correlations between intraocular pressure blood pressure and primary open angle glaucoma a multi cohort analysis
European Journal of Human Genetics, 2017Co-Authors: Hugues Aschard, Jae H Kang, Adriana I Iglesias, Pirro G Hysi, Jessica Cooke N Bailey, Anthony P Khawaja, Rand R Allingham, Allison E Ashleykoch, Richard K Lee, Sayoko E MoroiAbstract:Primary open-angle glaucoma (POAG) is the most common chronic optic neuropathy worldwide. Epidemiological studies show a robust positive relation between intraocular pressure (IOP) and POAG and modest positive association between IOP and blood pressure (BP), while the relation between BP and POAG is controversial. The International Glaucoma Genetics Consortium (n=27 558), the International Consortium on Blood Pressure (n=69 395), and the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (n=37 333), represent genome-wide data sets for IOP, BP traits and POAG, respectively. We formed genome-wide significant variant panels for IOP and diastolic BP and found a strong relation with POAG (odds ratio and 95% confidence interval: 1.18 (1.14–1.21), P=1.8 × 10−27) for the former trait but no association for the latter (P=0.93). Next, we used linkage disequilibrium (LD) score regression, to provide genome-wide estimates of correlation between traits without the need for additional phenotyping. We also compared our genome-wide estimate of heritability between IOP and BP to an estimate based solely on direct measures of these traits in the Erasmus Rucphen Family (ERF; n=2519) study using Sequential Oligogenic Linkage Analysis Routines (SOLAR). LD score regression revealed high genetic correlation between IOP and POAG (48.5%, P=2.1 × 10−5); however, genetic correlation between IOP and diastolic BP (P=0.86) and between diastolic BP and POAG (P=0.42) were negligible. Using SOLAR in the ERF study, we confirmed the minimal heritability between IOP and diastolic BP (P=0.63). Overall, IOP shares genetic basis with POAG, whereas BP has limited shared genetic correlation with IOP or POAG.
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age at natural menopause genetic risk score in relation to age at natural menopause and primary open angle glaucoma in a us based sample
Menopause, 2017Co-Authors: Louis R Pasquale, Hugues Aschard, Jae H Kang, Jessica Cooke N Bailey, Rand R Allingham, Allison E Ashleykoch, Daniel I. Chasman, William G. Christen, Sara Lindstrom, Richard K LeeAbstract:Author(s): Pasquale, Louis R; Aschard, Hugues; Kang, Jae H; Bailey, Jessica N Cooke; Lindstrom, Sara; Chasman, Daniel I; Christen, William G; Allingham, R Rand; Ashley-Koch, Allison; Lee, Richard K; Moroi, Sayoko E; Brilliant, Murray H; Wollstein, Gadi; Schuman, Joel S; Fingert, John; Budenz, Donald L; Realini, Tony; Gaasterland, Terry; Gaasterland, Douglas; Scott, William K; Singh, Kuldev; Sit, Arthur J; Igo, Robert P; Song, Yeunjoo E; Hark, Lisa; Ritch, Robert; Rhee, Douglas J; Gulati, Vikas; Havens, Shane; Vollrath, Douglas; Zack, Donald J; Medeiros, Felipe; Weinreb, Robert N; Pericak-Vance, Margaret A; Liu, Yutao; Kraft, Peter; Richards, Julia E; Rosner, Bernard A; Hauser, Michael A; Haines, Jonathan L; Wiggs, Janey L | Abstract: OBJECTIVE:Several attributes of female reproductive history, including age at natural menopause (ANM), have been related to primary open-angle glaucoma (POAG). We assembled 18 previously reported common genetic variants that predict ANM to determine their association with ANM or POAG. METHODS:Using data from the Nurses' Health Study (7,143 women), we validated the ANM weighted genetic risk score in relation to self-reported ANM. Subsequently, to assess the relation with POAG, we used data from 2,160 female POAG cases and 29,110 controls in the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (NEIGHBORHOOD), which consists of 8 datasets with imputed genotypes to 5.6+ million markers. Associations with POAG were assessed in each dataset, and site-specific results were meta-analyzed using the inverse weighted variance method. RESULTS:The genetic risk score was associated with self-reported ANM (P = 2.2 × 10) and predicted 4.8% of the variance in ANM. The ANM genetic risk score was not associated with POAG (Odds Ratio (OR) = 1.002; 95% Confidence Interval (CI): 0.998, 1.007; P = 0.28). No single genetic variant in the panel achieved nominal association with POAG (P ≥0.20). Compared to the middle 80 percent, there was also no association with the lowest 10 percentile or highest 90 percentile of genetic risk score with POAG (OR = 0.75; 95% CI: 0.47, 1.21; P = 0.23 and OR = 1.10; 95% CI: 0.72, 1.69; P = 0.65, respectively). CONCLUSIONS:A genetic risk score predicting 4.8% of ANM variation was not related to POAG; thus, genetic determinants of ANM are unlikely to explain the previously reported association between the two phenotypes.
Adriana I Iglesias - One of the best experts on this subject based on the ideXlab platform.
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Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes.
American journal of ophthalmology, 2019Co-Authors: Vincent Laville, Jae H Kang, Adriana I Iglesias, Clara C. Cousins, Reka Nagy, Jessica N. Cooke Bailey, Robert P. Igo, Yeunjoo Song, Daniel I. Chasman, William G. ChristenAbstract:Purpose A genetic correlation is the proportion of phenotypic variance between traits that is shared on a genetic basis. Here we explore genetic correlations between diabetes- and glaucoma-related traits. Design Cross-sectional study. Methods We assembled genome-wide association study summary statistics from European-derived participants regarding diabetes-related traits like fasting blood sugar (FBS) and type 2 diabetes (T2D) and glaucoma-related traits (intraocular pressure [IOP], central corneal thickness [CCT], corneal hysteresis [CH], corneal resistance factor [CRF], cup-to-disc ratio [CDR], and primary open-angle glaucoma [POAG]). We included data from the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database, the UK Biobank, and the International Glaucoma Genetics Consortium. We calculated genetic correlation (rg) between traits using linkage disequilibrium score regression. We also calculated genetic correlations between IOP, CCT, and select diabetes-related traits based on individual level phenotype data in 2 Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines. Results Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (rg = −0.14; P = .16). Using Sequential Oligogenic Linkage Analysis Routines, the genetic correlations between measured IOP, CCT, FBS, fasting insulin, and hemoglobin A1c were null. In contrast, genetic correlations between IOP and POAG (rg ≥ 0.45; P ≤ 3.0 × 10−4) and between CDR and POAG were high (rg = 0.57; P = 2.8 × 10−10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rg range −0.18 to 0.11) and nonsignificant (P ≥ .07). Conclusion These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits.
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genetic correlations between intraocular pressure blood pressure and primary open angle glaucoma a multi cohort analysis
European Journal of Human Genetics, 2017Co-Authors: Hugues Aschard, Jae H Kang, Adriana I Iglesias, Pirro G Hysi, Jessica Cooke N Bailey, Anthony P Khawaja, Rand R Allingham, Allison E Ashleykoch, Richard K Lee, Sayoko E MoroiAbstract:Primary open-angle glaucoma (POAG) is the most common chronic optic neuropathy worldwide. Epidemiological studies show a robust positive relation between intraocular pressure (IOP) and POAG and modest positive association between IOP and blood pressure (BP), while the relation between BP and POAG is controversial. The International Glaucoma Genetics Consortium (n=27 558), the International Consortium on Blood Pressure (n=69 395), and the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (n=37 333), represent genome-wide data sets for IOP, BP traits and POAG, respectively. We formed genome-wide significant variant panels for IOP and diastolic BP and found a strong relation with POAG (odds ratio and 95% confidence interval: 1.18 (1.14–1.21), P=1.8 × 10−27) for the former trait but no association for the latter (P=0.93). Next, we used linkage disequilibrium (LD) score regression, to provide genome-wide estimates of correlation between traits without the need for additional phenotyping. We also compared our genome-wide estimate of heritability between IOP and BP to an estimate based solely on direct measures of these traits in the Erasmus Rucphen Family (ERF; n=2519) study using Sequential Oligogenic Linkage Analysis Routines (SOLAR). LD score regression revealed high genetic correlation between IOP and POAG (48.5%, P=2.1 × 10−5); however, genetic correlation between IOP and diastolic BP (P=0.86) and between diastolic BP and POAG (P=0.42) were negligible. Using SOLAR in the ERF study, we confirmed the minimal heritability between IOP and diastolic BP (P=0.63). Overall, IOP shares genetic basis with POAG, whereas BP has limited shared genetic correlation with IOP or POAG.