Exploratory Data Analysis for Disease Pedigrees and Cancer Genetics
We have developed software packages for pedigree analysis (FAST, CASPAR, PedHunter, IIC) and
cancer genetics (oncotrees, METREX). The purpose of this protocol is to allow us to work on
software problems reports that may contain human subjects data in them. The data should be
coded, by which we mean that if there are any links between identifiers and names, we do not
possess the links to decode the names. Occasionally our assistance leads to a more formal
research collaboration. This protocol seeks to clarify the guidelines under which we can
provide assistance to users of our human genetics software and to establish a formal
procedure under which we can seek IRB approval for the serendipitous collaborations that
arise from providing that assistance. We cannot predict the sizes of samples or the
diseases studied in the data sets sent to us, so most of the medical aspects of this
protocol are necessarily general. We rely on the data being coded and the collectors of the
data having their own institutional approvals to protect against most risks. The scientific
aspects of investigating problem reports cannot be hypothesis driven because we cannot guess
what problems will arise. On the engineering side, the basic hypotheses are that: 1) our
software is likely to contain some bugs or other weaknesses, which cannot be easily found
except by having others use the software and 2) a good way to improve the functionality of
the software is to encourage users to submit problem reports and other suggestions.
This protocol has been in effect since early 2002. The only amendments during that time
were to set up three collaborations, as described in Sections 4.6 and 4.7 and 4.8. The
protocol has been quite useful and no changes are proposed in procedures.
Observational
N/A
Alejandro A Schaffer, Ph.D.
Principal Investigator
National Human Genome Research Institute (NHGRI)
United States: Federal Government
999902152
NCT00339508
March 2002
Name | Location |
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National Human Genome Research Institute (NHGRI), 9000 Rockville Pike | Bethesda, Maryland 20892 |