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.

Date of Patent:
Nov. 29, 2022

Filed:

Sep. 11, 2020
Applicant:

23andme, Inc., Sunnyvale, CA (US);

Inventors:

Ethan M. Jewett, San Jose, CA (US);

Andrew C. Seaman, San Jose, CA (US);

Kimberly F. McManus, San Francisco, CA (US);

William A. Freyman, Menlo Park, CA (US);

Cordell T. Blakkan, San Francisco, CA (US);

Adam Auton, Menlo Park, CA (US);

Joanna L. Mountain, Menlo Park, CA (US);

Susan M. Furest, San Francisco, CA (US);

Rachel E. Lopatin, Los Altos, CA (US);

Hang Xu, Sunnyvale, CA (US);

Hilary M. Vance, Palo Alto, CA (US);

Assignee:

23andMe, Inc., Sunnyvale, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06T 11/20 (2006.01); G06F 3/14 (2006.01); G06T 11/00 (2006.01); G06F 3/04842 (2022.01); G06N 7/00 (2006.01); G06N 5/04 (2006.01); G06F 16/245 (2019.01); G06F 3/0481 (2022.01);
U.S. Cl.
CPC ...
G06T 11/206 (2013.01); G06F 3/0481 (2013.01); G06F 3/04842 (2013.01); G06F 3/14 (2013.01); G06F 16/245 (2019.01); G06N 5/04 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06T 11/001 (2013.01); G06T 11/203 (2013.01); G06T 2200/24 (2013.01);
Abstract

The disclosed embodiments concern methods, apparatus, systems and computer program products for determining and displaying pedigrees based on IBD data. Some implementations use a probabilistic relationship model to obtain various likelihoods of various potential relationships based on pairwise IBD data and pairwise age data. Some implementations build large pedigrees by combining smaller pedigrees. Some implementations display pedigree graphs with various features that are informative and easy to understand.


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