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Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile
PURPOSE: The Mayo Clinic Biobank was established to provide a large group of patients from which comparison groups (ie, controls) could be selected for case–control studies, to create a prospective cohort with sufficient power for common outcomes and to support electronic health record (EHR) studies...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858142/ https://www.ncbi.nlm.nih.gov/pubmed/31699749 http://dx.doi.org/10.1136/bmjopen-2019-032707 |
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author | Olson, Janet E Ryu, Euijung Hathcock, Matthew A Gupta, Ruchi Bublitz, Joshua T Takahashi, Paul Y Bielinski, Suzette J St Sauver, Jennifer L Meagher, Karen Sharp, Richard R Thibodeau, Stephen N Cicek, Mine Cerhan, James R |
author_facet | Olson, Janet E Ryu, Euijung Hathcock, Matthew A Gupta, Ruchi Bublitz, Joshua T Takahashi, Paul Y Bielinski, Suzette J St Sauver, Jennifer L Meagher, Karen Sharp, Richard R Thibodeau, Stephen N Cicek, Mine Cerhan, James R |
author_sort | Olson, Janet E |
collection | PubMed |
description | PURPOSE: The Mayo Clinic Biobank was established to provide a large group of patients from which comparison groups (ie, controls) could be selected for case–control studies, to create a prospective cohort with sufficient power for common outcomes and to support electronic health record (EHR) studies. PARTICIPANTS: A total of 56 862 participants enrolled (21% response rate) into the Mayo Clinic Biobank from Rochester, Minnesota (77%, n=43 836), Jacksonville, Florida (18%, n=10 368) and La Crosse, Wisconsin (5%, n=2658). Participants were all Mayo Clinic patients, 18 years of age or older and US residents. FINDINGS TO DATE: Overall, 43% of participants were 65 years of age or older and female participants were more frequent (59%) than males at all sites. Most participants resided in the Upper Midwest regions of the USA (Minnesota, Iowa, Illinois or Wisconsin), Florida or Georgia. Self-reported race among Biobank participants was 90% white. Here we provide examples of the types of studies that have successfully utilised the resource, including (1) investigations of the population itself, (2) provision of controls for case–control studies, (3) genotype-driven research, (4) EHR-based research and (5) prospective recruitment to other studies. Over 270 projects have been approved to date to access Biobank data and/or samples; over 200 000 sample aliquots have been approved for distribution. FUTURE PLANS: The data and samples in the Mayo Clinic Biobank can be used for various types of epidemiological and clinical studies, especially in the setting of case–control studies for which the Biobank samples serve as control samples. We are planning cohort studies with additional follow-up and acquisition of genetic information on a large scale. |
format | Online Article Text |
id | pubmed-6858142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-68581422019-12-03 Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile Olson, Janet E Ryu, Euijung Hathcock, Matthew A Gupta, Ruchi Bublitz, Joshua T Takahashi, Paul Y Bielinski, Suzette J St Sauver, Jennifer L Meagher, Karen Sharp, Richard R Thibodeau, Stephen N Cicek, Mine Cerhan, James R BMJ Open Epidemiology PURPOSE: The Mayo Clinic Biobank was established to provide a large group of patients from which comparison groups (ie, controls) could be selected for case–control studies, to create a prospective cohort with sufficient power for common outcomes and to support electronic health record (EHR) studies. PARTICIPANTS: A total of 56 862 participants enrolled (21% response rate) into the Mayo Clinic Biobank from Rochester, Minnesota (77%, n=43 836), Jacksonville, Florida (18%, n=10 368) and La Crosse, Wisconsin (5%, n=2658). Participants were all Mayo Clinic patients, 18 years of age or older and US residents. FINDINGS TO DATE: Overall, 43% of participants were 65 years of age or older and female participants were more frequent (59%) than males at all sites. Most participants resided in the Upper Midwest regions of the USA (Minnesota, Iowa, Illinois or Wisconsin), Florida or Georgia. Self-reported race among Biobank participants was 90% white. Here we provide examples of the types of studies that have successfully utilised the resource, including (1) investigations of the population itself, (2) provision of controls for case–control studies, (3) genotype-driven research, (4) EHR-based research and (5) prospective recruitment to other studies. Over 270 projects have been approved to date to access Biobank data and/or samples; over 200 000 sample aliquots have been approved for distribution. FUTURE PLANS: The data and samples in the Mayo Clinic Biobank can be used for various types of epidemiological and clinical studies, especially in the setting of case–control studies for which the Biobank samples serve as control samples. We are planning cohort studies with additional follow-up and acquisition of genetic information on a large scale. BMJ Publishing Group 2019-11-06 /pmc/articles/PMC6858142/ /pubmed/31699749 http://dx.doi.org/10.1136/bmjopen-2019-032707 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Epidemiology Olson, Janet E Ryu, Euijung Hathcock, Matthew A Gupta, Ruchi Bublitz, Joshua T Takahashi, Paul Y Bielinski, Suzette J St Sauver, Jennifer L Meagher, Karen Sharp, Richard R Thibodeau, Stephen N Cicek, Mine Cerhan, James R Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile |
title | Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile |
title_full | Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile |
title_fullStr | Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile |
title_full_unstemmed | Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile |
title_short | Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile |
title_sort | characteristics and utilisation of the mayo clinic biobank, a clinic-based prospective collection in the usa: cohort profile |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858142/ https://www.ncbi.nlm.nih.gov/pubmed/31699749 http://dx.doi.org/10.1136/bmjopen-2019-032707 |
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