Systems and methods for interpreting a human genome using a synthetic reference sequence

US10127346B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10127346-B2
Application numberUS-201213445923-A
CountryUS
Kind codeB2
Filing dateApr 13, 2012
Priority dateApr 13, 2011
Publication dateNov 13, 2018
Grant dateNov 13, 2018

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Abstract

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In an embodiment of the present invention, three novel human reference genome sequences were developed based on the most common population-specific DNA sequence (“major allele”). Methods were developed for their integration into interpretation pipelines for highthroughput whole genome sequencing.

First claim

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What is claimed is: 1. A method for providing genetic data over a network, comprising: obtaining reference sequence data describing a synthetic reference genome sequence, where the synthetic reference genome sequence is a composite sequence comprising a reference sequence substituted using major alleles for an ethnic sub-population, where major alleles are alleles having estimated allele frequencies of greater than 50% within the ethnic sub-population, and storing the reference sequence data using a computer system comprising a processor and a memory; obtaining individual sequence data describing information derived from an individual who is a member of the ethnic sub-population, comprising at least one short sequence read from the individual and storing the individual sequence data using a computer system comprising a processor and a memory; aligning the obtained at least one short sequence read to the synthetic reference genome sequence using a computer system comprising a processor and a memory; determining at least one difference between the at least one short sequence read and the synthetic reference genome sequence based on the alignment using a computer system comprising a processor and a memory; and transmitting the at least one difference to a remote device using a computer system comprising a processor and a memory. 2. The method of claim 1 , wherein determining at least once difference between the at least one short sequence read and the synthetic reference genome sequence is performed for predetermined genomic positions. 3. The method of claim 1 , wherein obtaining reference sequence data comprises generating the synthetic reference genome sequence by: selecting the ethnic sub-population from HapMap population groups; determining the major allele at allele positions, where the major allele is an allele estimated to have an allele frequency of greater than 50% in the ethnic sub-population; substituting the major allele from the ethnic sub-population into the reference sequence. 4. A non-transitory computer-readable medium including instructions that, when executed by a processing unit, cause the processing unit to provide genetic data over a network, by performing the steps comprising: obtaining reference sequence data describing a synthetic reference genome sequence, where the synthetic reference genome sequence is a composite sequence comprising a reference sequence substituted using major alleles for an ethnic sub-population, where major alleles are alleles having estimated allele frequencies of greater than 50% within the ethnic sub-population, and storing the reference sequence data using a computer system comprising a processor and a memory; obtaining individual sequence data describing information derived from an individual, wherein the individual's ethnic background includes the ethnic sub-population, comprising at least one short sequence read from the individual and storing the individual sequence data; aligning the obtained at least one short sequence read to the synthetic reference genome sequence; determining at least one difference between the at least one short sequence read and the synthetic reference genome sequence based on the alignment; and transmitting the at least one difference to a remote device. 5. The non-transitory computer-readable medium of claim 4 , wherein determining at least once difference between the at least one short sequence read and the synthetic reference genome sequence is performed for predetermined genomic positions. 6. The non-transitory computer-readable medium of claim 4 , wherein the step for obtaining reference sequence data comprises a step for generating the synthetic reference genome sequence by: selecting the ethnic sub-population from HapMap population groups; determining the major allele at allele positions, where the major allele is an allele estimated to have an allele frequency of greater than 50% in the ethnic sub-population; substituting the major allele from the ethnic sub-population into the reference sequence. 7. A computing device for providing genetic data over a network comprising: a data bus; a memory unit coupled to the data bus; a processing unit coupled to the data bus and configured to obtain reference sequence data describing a synthetic reference genome sequence, where the synthetic reference genome sequence is a composite sequence comprising a reference sequence substituted using major alleles for an ethnic sub-population, where major alleles are alleles having estimated allele frequencies of greater than 50% within the ethnic sub-population, and store the reference sequence data on a memory; obtain individual sequence data describing information derived from an individual, wherein the individual's ethnic background includes the ethnic sub-population, comprising at least one short sequence read from the individual and store the individual sequence data on a memory; align the obtained at least one short sequence read to the synthetic reference genome sequence; determine at least one difference between the at least one short sequence read and the synthetic reference genome sequence based on the alignment; and transmit the at least one difference to a remote device.

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What does patent US10127346B2 cover?
In an embodiment of the present invention, three novel human reference genome sequences were developed based on the most common population-specific DNA sequence (“major allele”). Methods were developed for their integration into interpretation pipelines for highthroughput whole genome sequencing.
Who is the assignee on this patent?
Dewey Frederick, Ashley Euan A, Wheeler Matthew, and 3 more
What technology area does this patent fall under?
Primary CPC classification G06F19/12. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 13 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).