The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 30, 2012
Filed:
Jan. 08, 2010
Ranajit Chakraborty, Fort Worth, TX (US);
John Douglas Birdwell, Oak Ridge, TN (US);
Tse-wei Wang, Oak Ridge, TN (US);
Dale V. Stansberry, Oak Ridge, TN (US);
Ranajit Chakraborty, Fort Worth, TX (US);
John Douglas Birdwell, Oak Ridge, TN (US);
Tse-Wei Wang, Oak Ridge, TN (US);
Dale V. Stansberry, Oak Ridge, TN (US);
University of Tennessee Research Foundation, Knoxville, TN (US);
Abstract
Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type. The ADS method may further comprise comparing at least one set of DNA typing data for the unknown biological specimen to DNA typing data from biological specimens from the determined set of relatives; calculating by the processor a likelihood function that the person is related to the family; and outputting a decision whether or not the person is related to the family.