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:
Sep. 29, 2020

Filed:

Jul. 12, 2017
Applicant:

Macau University of Science and Technology, Taipa, MO;

Inventors:

Liang Liu, Taipa, MO;

Lai Han Leung, Taipa, MO;

Ying Li, Taipa, MO;

Xiao Jun Yao, Taipa, MO;

Hu Dan Pan, Taipa, MO;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
C12Q 1/6883 (2018.01); G16B 30/00 (2019.01); G16B 50/00 (2019.01); G16B 20/20 (2019.01); G16B 5/00 (2019.01); G16B 15/00 (2019.01); G16B 40/20 (2019.01); C12Q 1/6869 (2018.01);
U.S. Cl.
CPC ...
C12Q 1/6883 (2013.01); G16B 20/20 (2019.02); G16B 30/00 (2019.02); G16B 50/00 (2019.02); C12Q 1/6869 (2013.01); C12Q 2600/156 (2013.01); G16B 5/00 (2019.02); G16B 15/00 (2019.02); G16B 40/20 (2019.02);
Abstract

A method of identifying a gene associated with a disease or pathological condition of the disease includes: a) obtaining a first group of exome sequences from a first population suffering from the disease or pathological condition and a second group of exome sequences from a second population not having the disease or pathological condition; b) identifying one or more variants in the first group by comparing it with the second group, and optionally with a public database, to generate a first set of variant data; c) applying a variant quality score calibration tool with a truth sensitivity threshold to remove false-positive variants having a sensitivity lower than the threshold and background variants from the first set of variant data so as to obtain a second set of variant data; d) removing synonymous variants from the second set of variant data to obtain a third set of variant data; and e) identifying one or more deleterious variants from the third set of variant data using a gene burden analysis, optionally generating a fourth set of variant data.


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