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Genomics,MultiomicsFramingham Cohort

<b>Startup of Framingham Heart Study. Cardiovascular disease (CVD) is the leading cause of ...
..., please click on the "Variables" tab above.

The Framingham Cohort is utilized in the following dbGaP substudies. To view genotypes, analysis, expression data, other molecular data, and derived variables collected in these substudies, please click on the following substudies below or in the "Substudies" box located on the right hand side of this top-level study page phs000007 Framingham Cohort.

The unflagging commitment of the research participants in the NHLBI FHS has made more than a half century of research success possible. For decades, the FHS has made its data and DNA widely available to qualified investigators throughout the world through the Limited Access Datasets and the FHS DNA Committee, and the SHARe database will continue that tradition by allowing access to qualified investigators who agree to the requirements of data access. With the SHARe database, we continue with an ambitious research agenda and look forward to new discoveries in the decades to come.

phs000007.v17.p6 | EGA
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GenomicsT2D-GENES: Exome sequencing
The Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) is a large collaboration effort between the University of Michigan, Broad Institute, the Wellcome Trust Centre for Human Genetics, University of Chicago, NIDDK, Texas Biomedical Research Institut...
EGAS00001001460 | EGA
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GenomicsGoT2D: Genetics of Type 2 Diabetes, a study of the the genetic architecture of type 2 diabetes using low pass whole genome sequencing and high density SNP genotyping in 2,657 individuals.
The Genetics of Type 2 Diabetes Consortium (GoT2D) is a collaboration between the University of Michigan, the Broad Institute and the Wellcome Trust Centre for Human Genetics. The overall aim is to extend upon recent efforts, such as genome-wide association studies (GWAS) and large scale meta-analyse...
EGAS00001001459 | EGA
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GenomicsExome chip analysis file
This data set includes the following summary level data file used for the exome chip analysis: exome_chip.sv.assoc.txt: results from single variant association analysis in exome chip
EGAD00010001187 | EGA
1K
OtherGoT2D/T2D-GENES
Organisation EGAO00000000616
EGAO00000000616 | EGA
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Genomicsena-DATASET-GoT2D/T2D-GENES-08-07-2016-21:22:44:693-1130 - samples
...h of African-American, East-Asian, South-Asian, and Hispanic). Samples underwent deep exome sequencing, with SNVs and INDEls called according to GATK best practices; variant sites were then filtered according to the GATK best practices, and then samples and variants underwent further filtering based ...
EGAD00001002246 | EGA
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GenomicsGoT2D WGS analysis files
This data set includes the following summary level data files used for the GoT2D WGS analysis: wgs.assoc.samples.list: list of samples to keep for association analysis wgs.assoc.variants.list: list of variants to keep for association analysis wgs.sv.assoc.txt: single variant association results
EGAD00010001185 | EGA
1K
OtherHelmholtz Zentrum Muenchen
Organisation EGAO00000000793
EGAO00000000793 | EGA
0
Genomics13K T2D-GENES analysis files
...t: list of NSstrict variants to use in gene-level analysis wes.gene.nsstrict.assoc.txt: results from gene-level tests of NSstrict variants wes.gene.nsbroad.variants.list.txt: list of NSbroad variants to use in gene-level analysis wes.gene.nsbroad.assoc.txt: results from gene-level tests of NSbroad va...
EGAD00010001188 | EGA
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GenomicsImputation analysis file
This data set includes the following summary level data file used for the imputation data: imputation.sv.assoc.txt: results from single variant association analysis in imputed samples
EGAD00010001184 | EGA
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