METHODS FOR PARTNER AGNOSTIC GENE FUSION DETECTION

    公开(公告)号:US20200318175A1

    公开(公告)日:2020-10-08

    申请号:US16825238

    申请日:2020-03-20

    Abstract: A method for detecting a gene fusion includes amplifying a nucleic acid sample in the presence of primer pool to produce a plurality of amplicons. The primer pool includes primers targeting a plurality of exon-exon junctions of a driver gene. The amplicons correspond to the exon-exon junctions. The amplicons are sequenced and aligned to a reference sequence. The number of reads corresponding to each amplicon is normalized to give a normalized read count. A baseline correction is applied to the normalized read counts for the amplicons to form corrected read counts. A binary segmentation score is calculated for each corrected read count. A predicted breakpoint for the gene fusion is determined based on the amplicon index corresponding to the maximum absolute binary segmentation score. Gene fusion events may be detected in a partner agnostic manner, i.e. without prior knowledge of the specific fusion partner genes or specific breakpoint information.

    COMPOSITIONS AND METHODS FOR ONCOLOGY PRECISION ASSAYS

    公开(公告)号:US20210062271A1

    公开(公告)日:2021-03-04

    申请号:US16948046

    申请日:2020-08-28

    Abstract: Provided are methods and compositions for preparing a library of target nucleic acid sequences that are useful for assessing gene mutations for oncology biomarker profiling of samples. In particular, a target-specific primer panel is provided that allows for selective amplification of oncology biomarker target sequences in a sample. In one aspect, the invention relates to target-specific primers useful for selective amplification of one or more target sequences associated with oncology biomarkers from two or more sample types. In some aspects, amplified target sequences obtained using the disclosed methods, and compositions can be used in various processes including nucleic acid sequencing and used to detect the presence of genetic variants of one or more targeted sequences associated with oncology.

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