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The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The Mayo Clinic Biobank: A Building Block for Individualized Medicine

Open access
Olson, Janet E., Ryu, Euijung, Johnson, Kiley J., Koenig, Barbara A., Maschke, Karen J., Morrisette, Jody A., Liebow, Mark, Takahashi, Paul Y., Fredericksen, Zachary S., Sharma, Ruchi G., Anderson, Kari S., Hathcock, Matthew A., Carnahan, Jason A., Pathak, Jyotishman, Lindor, Noralane M., Beebe, Timothy J., Thibodeau, Stephen N., Cerhan, James R.·2013·Mayo Clinic Proceedings
DOI 10.1016/j.mayocp.2013.06.006
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Abstract

OBJECTIVE To report the design and first three years of enrollment of the Mayo Clinic Biobank. PATIENTS AND METHODS Preparations for this Biobank began with a 4-day Deliberative Community Engagement with local residents to obtain community input into the design and governance of the biobank. Recruitment, which began in April 2009, is ongoing with a target goal of 50,000. Any Mayo Clinic patient who is 18+ years, able to consent, and a US resident is eligible to participate. Each participant completes a health history questionnaire, provides a blood sample and allows access to existing tissue specimens and all data from their Mayo Clinic medical record (EMR). A Community Advisory Board provides ongoing advice and guidance on complex decisions. RESULTS After three years of recruitment, 21,736 subjects have enrolled. Participants were 58% female, 95% of European ancestry, and median age of 62 years. Seventy-four percent lived in Minnesota, 42% from Olmsted County where the Mayo Clinic Rochester is located. The five most commonly self-reported conditions were hyperlipidemia (41%), hypertension (38%), osteoarthritis (30%), any cancer (29%), and gastroesophageal reflux disease (26%). Among self-reported cancer patients, the five most common types were non-melanoma skin cancer (14%), prostate cancer (12% in men), breast cancer (4%), melanoma (3%), and cervical cancer (2% in women). Fifty-six percent of participants had at least 15 years of EMR history. To date, over sixty projects and over 69,000 samples have been approved for use. CONCLUSION The Mayo Clinic Biobank has quickly been established as a valuable resource for researchers.

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Metadata

Authors
Olson, J. E., Ryu, E., Johnson, K. J., Koenig, B. A., Maschke, K. J., Morrisette, J. A., Liebow, M., Takahashi, P. Y., Fredericksen, Z. S., Sharma, R. G., Anderson, K. S., Hathcock, M. A., Carnahan, J. A., Pathak, J., Lindor, N. M., Beebe, T. J., Thibodeau, S. N., & Cerhan, J. R.
Venue
Mayo Clinic Proceedings
Publisher
Elsevier BV
Published
2013-09
Volume
88
Issue
9
Pages
952-962
ISSN
0025-6196 (ISSN-L)
DOI
10.1016/j.mayocp.2013.06.006
OpenAlex
W2014096189
Cited by
212
References
6
FWCI
16.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Mayo Clinic Biobank: A Building Block for Individualized Medicine. https://app.cochat.ai/papers/10.1016/j.mayocp.2013.06.006
The paper
Olson, J. E., Ryu, E., Johnson, K. J., Koenig, B. A., Maschke, K. J., Morrisette, J. A., Liebow, M., Takahashi, P. Y., Fredericksen, Z. S., Sharma, R. G., Anderson, K. S., Hathcock, M. A., Carnahan, J. A., Pathak, J., Lindor, N. M., Beebe, T. J., Thibodeau, S. N., & Cerhan, J. R. (2013). The Mayo Clinic Biobank: A Building Block for Individualized Medicine. Mayo Clinic Proceedings. https://doi.org/10.1016/j.mayocp.2013.06.006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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