{"_id":"5b0e13ffc4664e0003c75cbd","user":"5613e4f8fdd08f2b00437620","__v":0,"version":{"_id":"5b0e13ffc4664e0003c75a67","project":"5b0e13ffc4664e0003c75a66","__v":4,"createdAt":"2015-09-17T16:58:03.490Z","releaseDate":"2015-09-17T16:58:03.490Z","categories":["5b0e13ffc4664e0003c75a68","5b0e13ffc4664e0003c75a69","5b0e13ffc4664e0003c75a6a","5b0e13ffc4664e0003c75a6b","5b0e13ffc4664e0003c75a6c","5b0e13ffc4664e0003c75a6d","5b0e13ffc4664e0003c75a6e","5b0e13ffc4664e0003c75a6f","5b0e13ffc4664e0003c75a70","5b0e13ffc4664e0003c75a71","5b0e13ffc4664e0003c75a72","5b0e13ffc4664e0003c75a73","5b0e13ffc4664e0003c75a74","5b0e13ffc4664e0003c75a75","5b0e13ffc4664e0003c75a76","5b0e13ffc4664e0003c75a77","5b0e13ffc4664e0003c75a89","5b0e13ffc4664e0003c75a8a","5b0e13ffc4664e0003c75a9d","5b0e13ffc4664e0003c75a9e","5b0e13ffc4664e0003c75a9f","5b0e13ffc4664e0003c75aa0","5b0e13ffc4664e0003c75aa1","5b0e13ffc4664e0003c75aa2","5b0e13ffc4664e0003c75aa3","5b0e13ffc4664e0003c75aa4","5b0e13ffc4664e0003c75aa5","5b0e13ffc4664e0003c75aa6","5b0e13ffc4664e0003c75aa7","5b0e13ffc4664e0003c75aa8","5b0e13ffc4664e0003c75aa9","5b0e13ffc4664e0003c75aaa","5b0e13ffc4664e0003c75aab","5b0e13ffc4664e0003c75aac","5b0e13ffc4664e0003c75aad","5b0e13ffc4664e0003c75aae","5b0e13ffc4664e0003c75aaf","5b0e13ffc4664e0003c75ab2","5bb3374f4306ad0003eb18e7","5bbf3c5373e72a000318362b","5bc065567d1cb0000384c649","5cbf19a5f9181f0033fbb968"],"is_deprecated":false,"is_hidden":false,"is_beta":true,"is_stable":true,"codename":"","version_clean":"1.0.0","version":"1.0"},"parentDoc":null,"project":"5b0e13ffc4664e0003c75a66","category":{"_id":"5b0e13ffc4664e0003c75aaa","project":"5b0e13ffc4664e0003c75a66","version":"5b0e13ffc4664e0003c75a67","__v":0,"sync":{"url":"","isSync":false},"reference":false,"createdAt":"2016-12-05T15:44:15.650Z","from_sync":false,"order":6,"slug":"datasets-hub","title":"DATASETS HUB"},"githubsync":"","metadata":{"title":"","description":"","image":[]},"updates":[],"next":{"pages":[],"description":""},"createdAt":"2016-12-05T15:54:58.370Z","link_external":false,"link_url":"","sync_unique":"","hidden":false,"api":{"results":{"codes":[]},"settings":"","auth":"required","params":[],"url":""},"isReference":false,"order":11,"body":"## Decription\n\nThe description below was taken directly from the NCBI database of Genotypes and Phenotypes ([dbGaP](https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001218)):\n\nThis study is part of the NHLBI Trans-Omics for Precision Medicine (TOPMed) Whole Genome Sequencing Program. TOPMed is part of a broader Precision Medicine Initiative, which aims to provide disease treatments that are tailored to an individual's unique genes and environment.\n\nTOPMed will contribute to this initiative through the integration of whole-genome sequencing (WGS) and other -omics (e.g., metabolic profiles, protein and RNA expression patterns) data with molecular, behavioral, imaging, environmental, and clinical data. In doing so, this program aims to uncover factors that increase or decrease the risk of disease, to identify subtypes of disease, and to develop more targeted and personalized treatments.\n\nTwo genotype call sets derived from WGS are now available, one called Freeze 4 (GRCh37) and another called Freeze 5b (GRCh38), with largely overlapping sample sets. Information about how to identify other TOPMed WGS accessions for cross-study analysis, as well as descriptions of TOPMed methods of data acquisition, data processing and quality control, are provided in the accompanying documents, \"TOPMed Whole Genome Sequencing Project - Freeze 4, Phase 1\" and \"TOPMed Whole Genome Sequencing Project - Freeze 5b, Phases 1 and 2\". Please check the study list at the top of each of these methods documents to determine whether it applies to this study accession.\n\n\n##General information\n[block:parameters]\n{\n  \"data\": {\n    \"h-0\": \"phs#\",\n    \"h-1\": \"Study abbreviation\",\n    \"h-2\": \"Study type\",\n    \"0-1\": \"GeneSTAR\",\n    \"0-2\": \"Longitudinal Cohort, Family\",\n    \"0-0\": \"phs001218\",\n    \"h-3\": \"TOPMed project\",\n    \"0-3\": \"AA_CAC; GeneSTAR\",\n    \"h-4\": \"Parent phs#\",\n    \"0-4\": \"phs001074\",\n    \"h-5\": \"Keywords\",\n    \"0-5\": \"GeneSTAR; phs001218; Heart; Longitudinal; Family; Cohort; WGS;\"\n  },\n  \"cols\": 5,\n  \"rows\": 1\n}\n[/block]","excerpt":"","slug":"nhlbi-top-med-gene-star","type":"basic","title":"phs001218 GeneSTAR (Genetic Study of Atherosclerosis Risk)"}

phs001218 GeneSTAR (Genetic Study of Atherosclerosis Risk)


## Decription The description below was taken directly from the NCBI database of Genotypes and Phenotypes ([dbGaP](https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001218)): This study is part of the NHLBI Trans-Omics for Precision Medicine (TOPMed) Whole Genome Sequencing Program. TOPMed is part of a broader Precision Medicine Initiative, which aims to provide disease treatments that are tailored to an individual's unique genes and environment. TOPMed will contribute to this initiative through the integration of whole-genome sequencing (WGS) and other -omics (e.g., metabolic profiles, protein and RNA expression patterns) data with molecular, behavioral, imaging, environmental, and clinical data. In doing so, this program aims to uncover factors that increase or decrease the risk of disease, to identify subtypes of disease, and to develop more targeted and personalized treatments. Two genotype call sets derived from WGS are now available, one called Freeze 4 (GRCh37) and another called Freeze 5b (GRCh38), with largely overlapping sample sets. Information about how to identify other TOPMed WGS accessions for cross-study analysis, as well as descriptions of TOPMed methods of data acquisition, data processing and quality control, are provided in the accompanying documents, "TOPMed Whole Genome Sequencing Project - Freeze 4, Phase 1" and "TOPMed Whole Genome Sequencing Project - Freeze 5b, Phases 1 and 2". Please check the study list at the top of each of these methods documents to determine whether it applies to this study accession. ##General information [block:parameters] { "data": { "h-0": "phs#", "h-1": "Study abbreviation", "h-2": "Study type", "0-1": "GeneSTAR", "0-2": "Longitudinal Cohort, Family", "0-0": "phs001218", "h-3": "TOPMed project", "0-3": "AA_CAC; GeneSTAR", "h-4": "Parent phs#", "0-4": "phs001074", "h-5": "Keywords", "0-5": "GeneSTAR; phs001218; Heart; Longitudinal; Family; Cohort; WGS;" }, "cols": 5, "rows": 1 } [/block]