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公开(公告)号:US10331849B2
公开(公告)日:2019-06-25
申请号:US14709417
申请日:2015-05-11
发明人: John Burke , Stephen Healy Sanders
摘要: Techniques for construction of internal controls for improved accuracy and sensitivity of DNA testing include obtaining first data and determining weights over real numbers for a normalization function in less than a day. The first data indicates a measured amount of reference sequences for nucleic acids from training samples. The reference sequences include a target, for which an abundance is indicative of a condition of interest, and covariates not correlated with the condition of interest. The normalization function involves a sum of abundances of the covariates, as internal controls, each multiplied by a corresponding one of the weights. The weights are determined based on minimizing variance of a Taylor expansion of a ratio of a measured amount of the target divided by a value of the normalization function evaluated with measured amounts of the covariates over a portion of the first data in which the condition is absent.
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公开(公告)号:US12073921B2
公开(公告)日:2024-08-27
申请号:US16183617
申请日:2018-11-07
发明人: John Burke , Stephen Healy Sanders
摘要: Techniques for measuring abundances of sequences includes obtaining first data that indicates a target sequence at a plurality of loci, wherein the target sequence comprises a plurality of bins of loci for which a relative abundance is indicative of a condition of interest. Second data is determined that indicates alignment with the target sequence of reads of DNA fragments in a sample from the subject. Third data is determined that indicates locus dependent observed variations in abundance. A raw count Hj of reads is determined that start at each locus j; and, a copy number of a first bin is determined based on a sum over all loci in the first bin of expected counts for each partition weighted by the locus dependent observed variations. Output data that indicates condition of the subject based at least in part on the copy number of the first bin is presented.
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公开(公告)号:US11127485B2
公开(公告)日:2021-09-21
申请号:US15717152
申请日:2017-09-27
发明人: John Burke , Brian Rhees
摘要: Techniques for automated determination or correction of count bias are based on nucleic acid base content on a finer grained scale than a bin of interest in a target sequence. The techniques include obtaining a target sequence with bins where relative abundances indicate a condition and raw counts Hj of reads, from a subject, which start at each locus j. A partition indicates a fine-grained window at a position relative to a current locus and multiple strata indicating different base contents. Each locus is attributed to one stratum k(j). An expected count of each stratum, E(k), is determined based on Hj for j belonging to the stratum and a number of loci in the target belonging to the stratum. A copy number of a bin is based on a sum of E(k(j)) in the bin. Output data indicates condition of the subject based at least partly on the copy number.
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