Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA233508 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Whole blood DNA methylation samples from HIV positive men [2012 study]
| PRJNA233507 | ENA
Project description:Genome wide DNA methylation profiles of whole blood from HIV positive men. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Dataset included 120 subjects from the USA but because of missing clinical characteristics only 109 subjects were used in the scientific publication. The study analyzed the effect of HIV viral load on host DNA methylation levels. Bisulphite converted DNA from the 120 HIV positive men were hybridised to the Illumina Infinium 450k Human Methylation Beadchip. Subjects had different levels of HIV viral load. This dataset reports DNA methylation data set on 120 subjects that were generated in 2013 (while the other data set of 24 subjects reports DNA methylation data generated in 2012). Details on what each sample characteristics and their values represent are provided in the 'characteristics_readme.txt' file.
2014-11-03 | E-GEOD-53840 | biostudies-arrayexpress
Project description:Genome wide DNA methylation profiles of whole blood from HIV positive men. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Dataset included 24 subjects from the USA. This data set was used as validation set for studying the effect of HIV viral load on host DNA methylation levels. Bisulphite converted DNA from the 24 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip. Subjects had different levels of HIV viral load. This dataset reports DNA methylation data set on 24 subjects that were generated in 2012 (while the other data set of 120 subjects reports DNA meth data generated in 2013). Details on what each sample characteristics and their values represent are provided in the 'characteristics_readme.txt' file.
2015-06-09 | E-GEOD-53841 | biostudies-arrayexpress
Project description:Genome wide DNA methylation profiles of whole blood from HIV positive men. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Dataset included 120 subjects from the USA but because of missing clinical characteristics only 109 subjects were used in the scientific publication. The study analyzed the effect of HIV viral load on host DNA methylation levels.
2014-11-03 | GSE53840 | GEO
Project description:Genome wide DNA methylation profiles of whole blood from HIV positive men. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Dataset included 24 subjects from the USA. This data set was used as validation set for studying the effect of HIV viral load on host DNA methylation levels.
2015-06-09 | GSE53841 | GEO
Project description:Genome wide DNA methylation profiling of HIV-infected and uninfected individuals for DNA samples extracted from peripheral blood. The Illumina Infinium Human DNA methylation 450 Beadchip was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Samples included 261 HIV-infected and 117 HIV-uninfected individuals. The goal was to identify genome-wide differentially methylated CpG sites between HIV-infected and uninfected samples. Bisulfite converted DNA from the 378 DNA samples were hybridized to the Illumina Infinium 450K Human Methylation Beadchip. The samples were extracted from whole blood. The subjects including 261 HIV-infected and 117 HIV-uninfected were recruited from the Veteran Aging Cohort Study. All subjects were inform consented and the study protocol was approved by Connecticut Veteran Affair Healthcare System IRB and Yale Human Research Protection Program at Yale University.
2017-02-09 | GSE77696 | GEO
Project description:Human DNA methylation Beadchip v1.2 was used to profile n=46 whole blood samples. The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of different ethnic groups. Here we focus on subjects younger than 35 years old. Groups include Tsimane Indians and Caucasian samples. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
2016-07-13 | GSE72777 | GEO
Project description:Human DNA methylation Beadchip v1.2 was used to profile n=310 whole blood samples. The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of different ethnic groups. Here we focus on subjects older than 35. Groups include Tsimane Indians, Hispanics, and Caucasian samples. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
2016-07-13 | GSE72773 | GEO
Project description:Human DNA methylation Beadchip v1.2 was used to profile 508 whole blood samples. The main goal of the study was to relate Parkinson's disease status to measures of epigenetic age acceleration based on DNA methylation data. Here we focus on Caucasian subjects. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
2018-09-04 | GSE72774 | GEO
Project description:Human DNA methylation Beadchip v1.2 was used to profile n=335 whole blood samples. The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of Hispanics and Caucasians from the USA. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
2016-07-13 | GSE72775 | GEO