| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| This was a meta-analysis of lipid traits including 9 studies with genotyped samples using the Cardio-metabochip and from 2 studies with imputed. We analyzed SNPs that fell among the 58 known densely typed lipid regions on the Cardio-metabochip which included approximately 23,000 SNPs. The sample included several studies with individuals of African, Hispanic, Asian, and Native American ancestries. Taiwanese were included in the meta-analysis of Asian Americans. The lipid traits included LDL cholesterol (mg/dl), HDL cholesterol (mg/dl), and triglycerides (mg/dl). Lipid medications were accounted for by adding a constant to the lipid phenotype based on the medication type. Fasting status was available in 9% of samples. All those not fasting for at least 8 hours were removed, those without fasting data were not excluded. LDL cholesterol was calculated using the Friedewald equation. All studies HDL-C and Triglycerides using Standard enzymatic methods. The natural log of triglycerides was used for association analyses given the non-normality of this measure. Covariates included age, sex study center, and PCs 1-10.(Hum Mol Genet. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358; PMID:28426890 ) |
| The Atherosclerosis Risk in Communities (ARIC) Study is a longitudinal study to examine cardiovascular health risks in subjects (n=15729, age range 45-64), baseline was taken in 1987-1989. Genotyping was performed at the University of Texas Health Science Center using the ABI TaqMan platform. |
| Epidemiologic Architecture for Genes Linked to Environment (EAGLE) uses data gathered by the CDC for National Health and Nutrition Examination Surveys (NHANES; n=14,998, age range 12-95), a cross-sectional study of the US population collected in 1984-1994 (NHANES III), and 1999-2002 (NHANES 99-02). Subjects are from three ancestries: European American, African American, and Hispanic. Genotyping was performed at Vanderbilt University using the Sequenom, ABI ABI TaqMan, Illumina BeadXpress and Open Array platforms. |
| Meta-analysis of results from the contributing individual studies: ARIC, CARDIA, CHS, EAGLE, MEC, SHS, SHFS & WHI. |
| The Women's Health Initiative (WHI) is a case-cohort founded to address the most common causes of death, disability and impaired quality of life in postmenopausal women. Subjects (n=141,645, age range 50-79) were collected over a 15 year period starting in 1991. Subjects are from primarily five ancestries, European American, African American, Hispanic, Native American, and Asian. Genotyping was performed at Translational Genomics Research Institute using the Illumina BeadXpress platform. |
| The Cardiovascular Health Study (CHS) was founded in 1988, with additional baseline samples taken in 1992, is an observational study of risk factors for cardiovascular disease in adults 65 years or older (n=5888, age range 65-100). Genotyping was performed at the University of Texas Health Science Center using the ABI TaqMan platform. |
| The Strong Heart Study was established to investigate the prevalence, severity of, and risk factors for cardiovascular disease among American Indians. The Strong Heart Study consists of 1) a cohort population of 4,500 American Indian men and women recruited from centers in three geographic regions: Arizona, Oklahoma and North and South Dakota with 3 clinic visits and ongoing Mortality and Morbidity surveillance (Phase I: 1989-1991; Phase II: 1993-1995; Phase III: 1998-1999, respectively), and 2) a multigenerational family genetic study examined in Phase IV (2001-2003) and Phase V (2005-2008) recruited from the same centers and including 3,838 individuals from 94 families, of whom 825 are Phase III participants re-examined in Phase IV. The data for this analysis were from (2) above from the Arizona recruitment site. |
| The Coronary Artery Risk Development in Young Adults (CARDIA) study was founded in 1986 to study the development of cardiovascular disease in young adults (n=5115, age range 18-30 at baseline). Genotyping was performed at the University of Texas Health Science Center using the ABI TaqMan platform. |
| The Multiethnic Cohort is a nested case control study of subjects (n=74,303, age range 45-78) collected from 1993-1996, with a goal of evaluation of dietary and other environmental contributions to the racial-ethnic variability in cancer risk. Subjects are primarily of five ancestries, European American, African American, Hispanic, Native Hawaiian, and Japanese. Genotyping was performed at the Cancer Research Center of Hawaii using the AB OpenArray platform and at the University of Southern California using the ABI TaqMan platform. |