An efficient paradigm for genetic epidemiology cohort creation
Development of novel methodologies to efficiently create large genetic epidemiology cohorts is needed. Here we describe a rapid, precise and cost-efficient method for collection of DNA from cases previously experiencing an osteoporotic fracture by identifying cases using and administrative health-ca...
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Veröffentlicht in: | PloS one 2010-11, Vol.5 (11), p.e14045-e14045 |
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description | Development of novel methodologies to efficiently create large genetic epidemiology cohorts is needed. Here we describe a rapid, precise and cost-efficient method for collection of DNA from cases previously experiencing an osteoporotic fracture by identifying cases using and administrative health-care databases. Over the course of 14 months we collected DNA from 1,130 women experiencing an osteoporotic fracture, at a cost of $54 per sample. This cohort is among the larger DNA osteoporotic fracture collections in the world. The novel method described addresses a major unmet health care research need and is widely applicable to any disease that can be identified accurately through administrative data. |
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Here we describe a rapid, precise and cost-efficient method for collection of DNA from cases previously experiencing an osteoporotic fracture by identifying cases using and administrative health-care databases. Over the course of 14 months we collected DNA from 1,130 women experiencing an osteoporotic fracture, at a cost of $54 per sample. This cohort is among the larger DNA osteoporotic fracture collections in the world. The novel method described addresses a major unmet health care research need and is widely applicable to any disease that can be identified accurately through administrative data.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0014045</identifier><identifier>PMID: 21124974</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Biocompatibility ; Biomedical materials ; Bone density ; Cohort Studies ; Data collection ; Deoxyribonucleic acid ; DNA ; DNA - isolation & purification ; Epidemiology ; Female ; Fractures ; Genetics and Genomics/Complex Traits ; Genetics and Genomics/Genetics of Disease ; Genetics and Genomics/Population Genetics ; Health care ; Health Services Research - methods ; Humans ; Manitoba - epidemiology ; Medical research ; Middle Aged ; Molecular Epidemiology - economics ; Molecular Epidemiology - methods ; Osteoporosis ; Osteoporosis, Postmenopausal - complications ; Osteoporosis, Postmenopausal - epidemiology ; Osteoporotic Fractures - epidemiology ; Osteoporotic Fractures - etiology ; Osteoporotic Fractures - genetics ; Public Health and Epidemiology/Epidemiology ; Reproducibility of Results ; Rheumatology ; Saliva - metabolism ; Studies ; Women's Health/Menopause and Post-Reproductive Women's Health</subject><ispartof>PloS one, 2010-11, Vol.5 (11), p.e14045-e14045</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010 Ladouceur et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Ladouceur et al. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c723t-9b8e5323eebebafcd5ca43320f4273de8bc00774ff7f6192552c1a3e8523d3a13</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987800/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987800/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23849,27907,27908,53774,53776,79351,79352</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21124974$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gagnier, Joel Joseph</contributor><creatorcontrib>Ladouceur, Martin</creatorcontrib><creatorcontrib>Leslie, William D</creatorcontrib><creatorcontrib>Dastani, Zari</creatorcontrib><creatorcontrib>Goltzman, David</creatorcontrib><creatorcontrib>Richards, J Brent</creatorcontrib><title>An efficient paradigm for genetic epidemiology cohort creation</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Development of novel methodologies to efficiently create large genetic epidemiology cohorts is needed. Here we describe a rapid, precise and cost-efficient method for collection of DNA from cases previously experiencing an osteoporotic fracture by identifying cases using and administrative health-care databases. Over the course of 14 months we collected DNA from 1,130 women experiencing an osteoporotic fracture, at a cost of $54 per sample. This cohort is among the larger DNA osteoporotic fracture collections in the world. The novel method described addresses a major unmet health care research need and is widely applicable to any disease that can be identified accurately through administrative data.</description><subject>Aged</subject><subject>Biocompatibility</subject><subject>Biomedical materials</subject><subject>Bone density</subject><subject>Cohort Studies</subject><subject>Data collection</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA - isolation & purification</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fractures</subject><subject>Genetics and Genomics/Complex Traits</subject><subject>Genetics and Genomics/Genetics of Disease</subject><subject>Genetics and Genomics/Population Genetics</subject><subject>Health care</subject><subject>Health Services Research - methods</subject><subject>Humans</subject><subject>Manitoba - epidemiology</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Molecular Epidemiology - economics</subject><subject>Molecular Epidemiology - methods</subject><subject>Osteoporosis</subject><subject>Osteoporosis, Postmenopausal - complications</subject><subject>Osteoporosis, Postmenopausal - epidemiology</subject><subject>Osteoporotic Fractures - epidemiology</subject><subject>Osteoporotic Fractures - etiology</subject><subject>Osteoporotic Fractures - genetics</subject><subject>Public Health and Epidemiology/Epidemiology</subject><subject>Reproducibility of Results</subject><subject>Rheumatology</subject><subject>Saliva - metabolism</subject><subject>Studies</subject><subject>Women's Health/Menopause and Post-Reproductive Women's Health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uL1DAUx4so7kW_gWhBWPFhxtzapC8Lw-JlYGHB22tI05NOhrapSSvutzd1ustUFpQ8JCS__z855-QkyQuM1phy_G7vRt-pZt27DtYIYYZY9ig5xQUlq5wg-vhofZKchbBHKKMiz58mJwRjwgrOTpPLTZeCMVZb6Ia0V15Vtm5T43xaQweD1Sn0toLWusbVt6l2O-eHVHtQg3Xds-SJUU2A5_N8nnz78P7r1afV9c3H7dXmeqU5ocOqKAVklFCAEkpldJVpxSglyDDCaQWi1AhxzozhJscFyTKisaIgMkIrqjA9T14dfPvGBTmHHiQmBSGY5QWLxPZAVE7tZe9tq_ytdMrKPxvO11L5GE4DkjAeJZoigUqGgZelxroimqOK5pkh0etyvm0sW6h0TI1XzcJ0edLZnazdT0kKwQVC0eDNbODdjxHCIFsbNDSN6sCNQRYZyzFBTPyTFDgrclqIKQWv_yIfTsNM1SpGajvj4gP15Ck3jFNBY_DTresHqDimQuv4oYyN-wvB24UgMgP8Gmo1hiC3Xz7_P3vzfcleHLE7UM2wC64Zp78VliA7gNq7EDyY-2pgJKd-uMuGnPpBzv0QZS-PK3kvumsA-hsLIAP1</recordid><startdate>20101118</startdate><enddate>20101118</enddate><creator>Ladouceur, Martin</creator><creator>Leslie, William D</creator><creator>Dastani, Zari</creator><creator>Goltzman, David</creator><creator>Richards, J Brent</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20101118</creationdate><title>An efficient paradigm for genetic epidemiology cohort creation</title><author>Ladouceur, Martin ; Leslie, William D ; Dastani, Zari ; Goltzman, David ; Richards, J Brent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c723t-9b8e5323eebebafcd5ca43320f4273de8bc00774ff7f6192552c1a3e8523d3a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aged</topic><topic>Biocompatibility</topic><topic>Biomedical materials</topic><topic>Bone density</topic><topic>Cohort Studies</topic><topic>Data collection</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA - isolation & purification</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fractures</topic><topic>Genetics and Genomics/Complex Traits</topic><topic>Genetics and Genomics/Genetics of Disease</topic><topic>Genetics and Genomics/Population Genetics</topic><topic>Health care</topic><topic>Health Services Research - methods</topic><topic>Humans</topic><topic>Manitoba - epidemiology</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Molecular Epidemiology - economics</topic><topic>Molecular Epidemiology - methods</topic><topic>Osteoporosis</topic><topic>Osteoporosis, Postmenopausal - complications</topic><topic>Osteoporosis, Postmenopausal - epidemiology</topic><topic>Osteoporotic Fractures - epidemiology</topic><topic>Osteoporotic Fractures - etiology</topic><topic>Osteoporotic Fractures - genetics</topic><topic>Public Health and Epidemiology/Epidemiology</topic><topic>Reproducibility of Results</topic><topic>Rheumatology</topic><topic>Saliva - metabolism</topic><topic>Studies</topic><topic>Women's Health/Menopause and Post-Reproductive Women's Health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ladouceur, Martin</creatorcontrib><creatorcontrib>Leslie, William D</creatorcontrib><creatorcontrib>Dastani, Zari</creatorcontrib><creatorcontrib>Goltzman, David</creatorcontrib><creatorcontrib>Richards, J Brent</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Here we describe a rapid, precise and cost-efficient method for collection of DNA from cases previously experiencing an osteoporotic fracture by identifying cases using and administrative health-care databases. Over the course of 14 months we collected DNA from 1,130 women experiencing an osteoporotic fracture, at a cost of $54 per sample. This cohort is among the larger DNA osteoporotic fracture collections in the world. The novel method described addresses a major unmet health care research need and is widely applicable to any disease that can be identified accurately through administrative data.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21124974</pmid><doi>10.1371/journal.pone.0014045</doi><tpages>e14045</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Biocompatibility Biomedical materials Bone density Cohort Studies Data collection Deoxyribonucleic acid DNA DNA - isolation & purification Epidemiology Female Fractures Genetics and Genomics/Complex Traits Genetics and Genomics/Genetics of Disease Genetics and Genomics/Population Genetics Health care Health Services Research - methods Humans Manitoba - epidemiology Medical research Middle Aged Molecular Epidemiology - economics Molecular Epidemiology - methods Osteoporosis Osteoporosis, Postmenopausal - complications Osteoporosis, Postmenopausal - epidemiology Osteoporotic Fractures - epidemiology Osteoporotic Fractures - etiology Osteoporotic Fractures - genetics Public Health and Epidemiology/Epidemiology Reproducibility of Results Rheumatology Saliva - metabolism Studies Women's Health/Menopause and Post-Reproductive Women's Health |
title | An efficient paradigm for genetic epidemiology cohort creation |
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