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1.
公开(公告)号:US20190017116A1
公开(公告)日:2019-01-17
申请号:US15647414
申请日:2017-07-12
Applicant: Macau University of Science and Technology
Inventor: Liang Liu , Lai Han Leung , Ying Li , Xiao Jun Yao , Hu Dan Pan
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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2.
公开(公告)号:US10787708B2
公开(公告)日:2020-09-29
申请号:US15647414
申请日:2017-07-12
Applicant: Macau University of Science and Technology
Inventor: Liang Liu , Lai Han Leung , Ying Li , Xiao Jun Yao , Hu Dan Pan
IPC: C12Q1/6883 , G16B30/00 , G16B50/00 , G16B20/20 , G16B5/00 , G16B15/00 , G16B40/20 , C12Q1/6869
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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