Abstract Details
Activity Number:
|
106
|
Type:
|
Invited
|
Date/Time:
|
Monday, August 4, 2014 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Committee on Privacy and Confidentiality
|
Abstract #312973
|
|
Title:
|
Anonymization of Phenotypic Data to Support Genotype Association Studies
|
Author(s):
|
Bradley Malin*+
|
Companies:
|
Vanderbilt University
|
Keywords:
|
|
Abstract:
|
This presentation will report on current data sharing practices for genomic data associated with clinical phenotypes in association studies. It will review the mechanism by which clinical data is collected, the extent to which it can be exploited for identification purposes, and anonymization strategies that can be invoked to minimize the risk of such information. With respect to the latter, this talk will illustrate how adversarial knowledge can be modeled, with a particular focus on how case-control cohorts are sampled from a certain population, and how it influences the degree to which information can be retained. The illustration will be based on an empirical investigation with data derived from over 100,000 patients' electronic medical records from a large academic medical center.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.