The General Hospital Corporation

Dana-farber-cancer Institute Inc.

The Broad Institute, Inc.

Other

Sachet Ashok Shukla

Nir Hacohen

Edward F Fritsch

Madhukar Anand

Jahnavi Chandra Prasad

Michael Steven Rooney

Catherine Ju-Ying Wu

Gad Getz

Catherine J Wu

Pavan Bachireddy

Jing Sun

A system and method for determining the exact pair of alleles corresponding to polymorphic genes from sequencing data and for using the polymorphic gene information in formulating an immunogenic composition. Reads from a sequencing data set mapping to the target polymorphic genes in a canonical reference genome sequence, and reads mapping within a defined threshold of the target gene sequence locations are extracted from the sequencing data set. Additionally, all reads from the set data set are matched against a probe reference set, and those reads that match with a high degree of similarity are extracted. Either one, or a union of both these sets of extracted reads are included in a final extracted set for further analysis. Ethnicity of the individual may be inferred based on the available sequencing data which may then serve as a basis for assigning prior probabilities to the allele variants. The extracted reads are aligned to a gene reference set of all known allele variants. The allele variant that maximizes a first posterior probability or posterior probability derived score is selected as the first allele variant. A second posterior probability or posterior probability derived score is calculated for reads that map to one or more other allele variants and the first allele variant using a weighting factor. The allele that maximizes the second posterior probability or posterior probability score is selected as the second allele variant. A system and method for identifying somatic changes in polymorphic loci using WES data. The exact pair of alleles corresponding to the polymorphic gene are determined as described using a normal or germline sample from an individual. A tumor or otherwise diseased sample is also retrieved from the individual and the corresponding WES data is generated. Reads corresponding to the polymorphic gene are extracted as described in the paragraph above. These reads are then aligned to the inferred pair of allele sequences. The alignment of the germline or normal reads to the inferred pair of alleles, along with the alignment of the tumor or diseased reads to the inferred pair of alleles are simultaneously used as inputs to somatic change detection algorithms to identify somatic changes with greater precision and sensitivity.

Polymorphic gene typing and somatic change detection using sequencing data

Disclosed herein in one aspect is a pharmaceutical composition comprising a plurality of neoantigenic peptides and a pharmaceutically acceptable carrier, each neoantigenic peptide comprising a tumor-specific neoepitope capable of binding to an HLA protein in a subject, each tumor-specific neoepitope comprising a tumor-specific mutation present in a tumor, wherein (a) the composition comprises neoantigenic peptides comprising tumor-specific mutations present in at least 1% of subjects in a population of subjects suffering from cancer; (b) the composition comprises neoantigenic peptides comprising tumor-specific neoepitopes which bind to HLA proteins present in at least 5% of subjects in the population; and (c) the composition comprises at least one neoantigenic peptide capable of eliciting an immune response against a tumor present in at least 5% of the subjects in the population of subjects suffering from cancer.

Shared neoantigens

Systems and methods for verifiable, private and secure omic analysis are provided. Secure multiparty computation techniques can be utilized to enable two parties to perform an omic transaction, such as determining genetic compatibility with one another, by jointly computing a result without either party disclosing their genetic information to the other. Privacy-preserving techniques to ensure authenticity of each party's omic data and metadata are also provided. Personalized matching scores can be computed, in which each party's score is weighted to reflect user preferences associated with the matching analysis.

Systems and methods for verifiable, private, and secure omic analysis

Growing community of inventors

Newton, MA, United States of America

Sachet Ashok Shukla