Creation of a national resource with linked genealogy and phenotypic data: the Veterans Genealogy Project
Creation of a genealogy of the United States and its ancestral populations is under way. When complete, this US genealogy will be record linked to the National Veteran’s Health Administration medical data representing more than 8 million US veterans. Genealogical data are gathered from public source...
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Veröffentlicht in: | Genetics in medicine 2013-07, Vol.15 (7), p.541-547 |
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creator | Cannon-Albright, Lisa A. Dintelman, Sue Maness, Tim Backus, Steve Thomas, Alun Meyer, Laurence J. |
description | Creation of a genealogy of the United States and its ancestral populations is under way. When complete, this US genealogy will be record linked to the National Veteran’s Health Administration medical data representing more than 8 million US veterans.
Genealogical data are gathered from public sources, primarily the Internet. Record linking using data from relatives is accomplished to integrate multiple data sources and then to link genealogical data to the veteran’s demographic data.
This resource currently includes genealogy for more than 22 million individuals representing the Intermountain West and the East Coast. The demographic data for more than 40,000 veteran patients using Veterans Hospital Administration services in Utah and Massachusetts have already been record linked.
The resource is only in its second year of creation and already represents the largest such combination of genealogy and medical data in the world. The data sources, the creation of the genealogy, record-linking methods and results, proposed genetic analyses, and future directions are discussed.
Genet Med 2013:15(7):541–547 |
doi_str_mv | 10.1038/gim.2012.171 |
format | Article |
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Genealogical data are gathered from public sources, primarily the Internet. Record linking using data from relatives is accomplished to integrate multiple data sources and then to link genealogical data to the veteran’s demographic data.
This resource currently includes genealogy for more than 22 million individuals representing the Intermountain West and the East Coast. The demographic data for more than 40,000 veteran patients using Veterans Hospital Administration services in Utah and Massachusetts have already been record linked.
The resource is only in its second year of creation and already represents the largest such combination of genealogy and medical data in the world. The data sources, the creation of the genealogy, record-linking methods and results, proposed genetic analyses, and future directions are discussed.
Genet Med 2013:15(7):541–547</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/gim.2012.171</identifier><identifier>PMID: 23328892</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>692/308/2056 ; 706/689/236 ; Biomedical and Life Sciences ; Biomedicine ; Databases, Factual ; Electronic Health Records ; electronic medical record ; Female ; genealogy ; Genealogy and Heraldry ; Human Genetics ; Humans ; International Classification of Diseases ; Internet ; Laboratory Medicine ; Male ; Massachusetts ; original-research-article ; Pedigree ; Phenotype ; record linking ; United States ; Utah ; Veterans</subject><ispartof>Genetics in medicine, 2013-07, Vol.15 (7), p.541-547</ispartof><rights>2013 The Author(s)</rights><rights>American College of Medical Genetics and Genomics 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-7271adf7b8c8283e18179f6fdf86aef9221b9e9a4f7990c4352d0f97ab1a428a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23328892$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cannon-Albright, Lisa A.</creatorcontrib><creatorcontrib>Dintelman, Sue</creatorcontrib><creatorcontrib>Maness, Tim</creatorcontrib><creatorcontrib>Backus, Steve</creatorcontrib><creatorcontrib>Thomas, Alun</creatorcontrib><creatorcontrib>Meyer, Laurence J.</creatorcontrib><title>Creation of a national resource with linked genealogy and phenotypic data: the Veterans Genealogy Project</title><title>Genetics in medicine</title><addtitle>Genet Med</addtitle><addtitle>Genet Med</addtitle><description>Creation of a genealogy of the United States and its ancestral populations is under way. When complete, this US genealogy will be record linked to the National Veteran’s Health Administration medical data representing more than 8 million US veterans.
Genealogical data are gathered from public sources, primarily the Internet. Record linking using data from relatives is accomplished to integrate multiple data sources and then to link genealogical data to the veteran’s demographic data.
This resource currently includes genealogy for more than 22 million individuals representing the Intermountain West and the East Coast. The demographic data for more than 40,000 veteran patients using Veterans Hospital Administration services in Utah and Massachusetts have already been record linked.
The resource is only in its second year of creation and already represents the largest such combination of genealogy and medical data in the world. The data sources, the creation of the genealogy, record-linking methods and results, proposed genetic analyses, and future directions are discussed.
Genet Med 2013:15(7):541–547</description><subject>692/308/2056</subject><subject>706/689/236</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Databases, Factual</subject><subject>Electronic Health Records</subject><subject>electronic medical record</subject><subject>Female</subject><subject>genealogy</subject><subject>Genealogy and Heraldry</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>International Classification of Diseases</subject><subject>Internet</subject><subject>Laboratory Medicine</subject><subject>Male</subject><subject>Massachusetts</subject><subject>original-research-article</subject><subject>Pedigree</subject><subject>Phenotype</subject><subject>record linking</subject><subject>United States</subject><subject>Utah</subject><subject>Veterans</subject><issn>1098-3600</issn><issn>1530-0366</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1vEzEQhi0EoqXlxhn5yIEN_thd29xQVNpKleBAe7Uce5w4bOxgO63y73GbtqciTjPSPPMenhehD5TMKOHyyzJsZoxQNqOCvkLHdOCkI3wcX7edKNnxkZAj9K6UNSFUcEbeoiPGOZNSsWMU5hlMDSni5LHB8WE3E85Q0i5bwHehrvAU4m9weAkRzJSWe2yiw9sVxFT322CxM9V8xXUF-AYqZBMLPn9mf-a0BltP0RtvpgLvH-cJuv5-9mt-0V39OL-cf7vqbN-L2gkmqHFeLKSVTHKgkgrlR--8HA14xRhdKFCm90IpYns-MEe8EmZBTc-k4Sfo0yF3m9OfHZSqN6FYmCYTIe2KpkMv5EAGRv6PciV7xhUTDf18QG1OpWTwepvDxuS9pkTf96BbD_q-B916aPjHx-TdYgPuGX4S34DuAJR2ikvIet18N_PlX4HjgYem7jY0vtgA0YILucnVLoWXH_8CP4WlBA</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Cannon-Albright, Lisa A.</creator><creator>Dintelman, Sue</creator><creator>Maness, Tim</creator><creator>Backus, Steve</creator><creator>Thomas, Alun</creator><creator>Meyer, Laurence J.</creator><general>Elsevier Inc</general><general>Nature Publishing Group US</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20130701</creationdate><title>Creation of a national resource with linked genealogy and phenotypic data: the Veterans Genealogy Project</title><author>Cannon-Albright, Lisa A. ; Dintelman, Sue ; Maness, Tim ; Backus, Steve ; Thomas, Alun ; Meyer, Laurence J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-7271adf7b8c8283e18179f6fdf86aef9221b9e9a4f7990c4352d0f97ab1a428a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>692/308/2056</topic><topic>706/689/236</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Databases, Factual</topic><topic>Electronic Health Records</topic><topic>electronic medical record</topic><topic>Female</topic><topic>genealogy</topic><topic>Genealogy and Heraldry</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>International Classification of Diseases</topic><topic>Internet</topic><topic>Laboratory Medicine</topic><topic>Male</topic><topic>Massachusetts</topic><topic>original-research-article</topic><topic>Pedigree</topic><topic>Phenotype</topic><topic>record linking</topic><topic>United States</topic><topic>Utah</topic><topic>Veterans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cannon-Albright, Lisa A.</creatorcontrib><creatorcontrib>Dintelman, Sue</creatorcontrib><creatorcontrib>Maness, Tim</creatorcontrib><creatorcontrib>Backus, Steve</creatorcontrib><creatorcontrib>Thomas, Alun</creatorcontrib><creatorcontrib>Meyer, Laurence J.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Genetics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cannon-Albright, Lisa A.</au><au>Dintelman, Sue</au><au>Maness, Tim</au><au>Backus, Steve</au><au>Thomas, Alun</au><au>Meyer, Laurence J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Creation of a national resource with linked genealogy and phenotypic data: the Veterans Genealogy Project</atitle><jtitle>Genetics in medicine</jtitle><stitle>Genet Med</stitle><addtitle>Genet Med</addtitle><date>2013-07-01</date><risdate>2013</risdate><volume>15</volume><issue>7</issue><spage>541</spage><epage>547</epage><pages>541-547</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>Creation of a genealogy of the United States and its ancestral populations is under way. When complete, this US genealogy will be record linked to the National Veteran’s Health Administration medical data representing more than 8 million US veterans.
Genealogical data are gathered from public sources, primarily the Internet. Record linking using data from relatives is accomplished to integrate multiple data sources and then to link genealogical data to the veteran’s demographic data.
This resource currently includes genealogy for more than 22 million individuals representing the Intermountain West and the East Coast. The demographic data for more than 40,000 veteran patients using Veterans Hospital Administration services in Utah and Massachusetts have already been record linked.
The resource is only in its second year of creation and already represents the largest such combination of genealogy and medical data in the world. The data sources, the creation of the genealogy, record-linking methods and results, proposed genetic analyses, and future directions are discussed.
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source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | 692/308/2056 706/689/236 Biomedical and Life Sciences Biomedicine Databases, Factual Electronic Health Records electronic medical record Female genealogy Genealogy and Heraldry Human Genetics Humans International Classification of Diseases Internet Laboratory Medicine Male Massachusetts original-research-article Pedigree Phenotype record linking United States Utah Veterans |
title | Creation of a national resource with linked genealogy and phenotypic data: the Veterans Genealogy Project |
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