Literature DB >> 29783440

The Marshfield Clinic Personalized Medicine Research Project: 2008 scientific update and lessons learned in the first 6 years.

Catherine A McCarty1, Peggy Peissig2, Michael D Caldwell3, Russell A Wilke4,5,6.   

Abstract

The Marshfield Clinic Personalized Medicine Research Project is the largest population-based biobank in the USA, with the ability to recontact subjects to obtain additional information to facilitate gene-environment studies. Nearly 20,000 adults have enrolled in the Personalized Medicine Research Project since 2001, after providing active written consent to access their Marshfield Clinic medical records to define phenotype and providing blood samples from which DNA, plasma and serum samples were stored. Numerous studies are underway in the area of pharmacogenetics and genetic epidemiology. In addition to the scientific discoveries being made, much has been learned regarding biobanking and the management of large amounts of data being generated. The purpose of this paper is to share the advice provided by the external Scientific Advisory Board and the scientific lessons learned along the way to build this research infrastructure and facilitate its use.

Keywords:  biobank; genetic epidemiology; methods; pharmacogenetics

Year:  2008        PMID: 29783440     DOI: 10.2217/17410541.5.5.529

Source DB:  PubMed          Journal:  Per Med        ISSN: 1741-0541            Impact factor:   2.512


  4 in total

1.  Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.

Authors:  Pedro L Teixeira; Wei-Qi Wei; Robert M Cronin; Huan Mo; Jacob P VanHouten; Robert J Carroll; Eric LaRose; Lisa A Bastarache; S Trent Rosenbloom; Todd L Edwards; Dan M Roden; Thomas A Lasko; Richard A Dart; Anne M Nikolai; Peggy L Peissig; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2016-08-07       Impact factor: 4.497

2.  Analysis of PTPRK polymorphisms in association with risk and age at onset of Alzheimer's disease, cancer risk, and cholesterol.

Authors:  Yang Chen; Chun Xu; Sam Harirforoosh; Xingguang Luo; Ke-Sheng Wang
Journal:  J Psychiatr Res       Date:  2017-09-27       Impact factor: 4.791

3.  A rural community's involvement in the design and usability testing of a computer-based informed consent process for the Personalized Medicine Research Project.

Authors:  Andrea N Mahnke; Joseph M Plasek; David G Hoffman; Nathan S Partridge; Wendy S Foth; Carol J Waudby; Luke V Rasmussen; Valerie D McManus; Catherine A McCarty
Journal:  Am J Med Genet A       Date:  2013-11-22       Impact factor: 2.802

Review 4.  Mapping asthma-associated variants in admixed populations.

Authors:  Tesfaye B Mersha
Journal:  Front Genet       Date:  2015-09-29       Impact factor: 4.599

  4 in total

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