MOLECULAR GENETIC DIAGNOSTIC SYSTEM

• US 20140088942A1
• Filed: 09/27/2012
• Published: 03/27/2014
• Est. Priority Date: 09/27/2012
• Status: Abandoned Application

• Current Assignee: Ambry Genetics Corporation
• Original Assignee: Ambry Genetics Corporation
• Inventors: Li, Xiang, Lu, Hong, Lu, Hsiaomei, Gonzalez, Kelly, Parra, Melissa, Zeng, Wenqi, Chao, Elizabeth, Dunlop, Charles
• Application Number:
  US13/629,517
• Publication Number:
  US 20140088942A1
• Time in Patent Office: Days
• US Class Current: 703/11
• CPC Class Codes: G16B 20/00 ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
• CPC Class Codes: G16B 20/20 Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
• CPC Class Codes: G16B 20/40 Population genetics; Linkage disequilibrium
• CPC Class Codes: G16B 5/00 ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
• CPC Class Codes: G16B 50/10 Ontologies; Annotations

Abstract

A computer-implemented bioinformatics program annotates human genetic variants by integrating multiple sources of information. The program rapidly filters variants that are unlikely to play a role in the etiology of particular diseases. This filtering may be performed based on such annotations, on clinical profiles and family histories, and on analyses under various inheritance models, in order to classify human variants and identify mutations influencing patients'"'"' diseases.

Claims

1. A computer-implemented method of diagnosing a genetic influence for a condition in a proband, comprising:

by a processor and from a list of genetic variants, removing variants not compatible with a Mendelian inheritance model determined by an input to the processor and based on a family history of the proband;

from the list of variants, removing variants that are present in unaffected controls above a specified frequency and specified occurrence that are determined by the input; and

by a processor, identifying a genetic influence for the condition, based on one or more remaining variants in the list.

2. The method of claim 1, further comprising determining a treatment plan based on the genetic influence.

3. The method of claim 1, wherein the identifying a genetic influence comprises estimating a probability that one of more of the remaining variants significantly influences at least one of clinical signs or symptoms of the proband.

4. The method of claim 1, wherein the removing variants not compatible with the Mendelian inheritance model comprises comparing a genotype from the proband to a genotype from at least one family member.

5. The method of claim 1, wherein the removing variants not compatible with the Mendelian inheritance model further comprises removing a heterozygous variant of the proband that exists in at least one unaffected family member as a homozygous variant.

6. The method of claim 1, wherein the Mendelian inheritance model is a dominant model.

7. The method of claim 6, wherein the removing variants not compatible with the Mendelian inheritance model further comprises removing a heterozygous variant of the proband if it exists in at least one unaffected family member or does not exist in at least one affected family member.

8. The method of claim 6, wherein the removing variants that are present in unaffected controls comprises removing a candidate heterozygous variant that presents in at least one unaffected control as either a heterozygous or homozygous variant.

9. The method of claim 1, wherein the Mendelian inheritance model is a recessive model.

10. The method of claim 9, wherein the removing variants not compatible with the Mendelian inheritance model comprises removing a candidate homozygous variant that at least one of (a) presents in at least one unaffected family member or unaffected control as a homozygous variant or (b) does not present in at least one affected family member.

11. The method of claim 9, wherein the removing variants that are present in unaffected controls comprises removing a candidate pair of compound heterozygous variants that present in at least one unaffected control.

12. The method of claim 1, wherein the Mendelian inheritance model is a sex-linked recessive model.

13. The method of claim 12, wherein the removing variants not compatible with the Mendelian inheritance model comprises removing a candidate variant that at least one of (a) presents in at least one unaffected male family member or male unaffected control as a hemizygous variant, (b) presents in at least one unaffected female family member or female unaffected control as a homozygous variant, or (c) does not present in at least one affected family member.

14. The method of claim 1, wherein the list is an index list, and further comprising forming the index list, from a master list of more genetic variants than are in the index list, by the following steps:

annotating a description of variants based on locations of at least one of (a) mutations in respective genes, or (b) amino acid alterations in affected proteins;

annotating population frequencies of variants;

annotating disease information associated with variants;

annotating with evolutionary conservation indicators at variant positions; and

annotating at least one prediction of a deleterious effect of at least one variant.

15. The method of claim 1, wherein the list is an index list, and further comprising forming the index list, from a master list of more genetic variants than are in the index list, by the following steps:

from the master list, removing common variants that satisfy a user-defined threshold;

from the master list, removing variants in at least one intergenic region; and

from the master list, removing deep intronic variants and synonymous variants that do not have associated records in a selected database.

16. The method of claim 15, wherein common variants comprise single nucleotide polymorphisms (SNPs), deletions, insertions, and indels.

19. The method of claim 1, wherein the identifying module is configured to identify genetic influence by estimating a probability that one of more of the remaining variants significantly influences at least one of clinical signs or symptoms of the proband.

17. A computer implementation system for diagnosing a genetic influence for a condition in a proband, comprising:

an input module that, by a processor, receives an input from a user;

an inheritance filtering module that, by a processor, based on the input, and from a list of variants, removes variants not compatible with a Mendelian inheritance model, determined by an input to the processor, and based on a family history of the proband;

a control filtering module that, by a processor, based on the input, and from the list of variants, removes variants that are present in unaffected controls above a specified frequency and specified occurrence that are determined by the input;

an identifying module that, by a processor, identifies a genetic influence for the condition, based on one or more remaining variants in the list; and

an output module that, by a processor, outputs the one or more remaining variants to a display.

18. The computer implementation system of claim 17, further comprising a determining module that, by a processor, determines a treatment plan based on the genetic influence.

20. The computer implementation system of claim 17, wherein the input comprises a selection between a recessive model of Mendelian inheritance and a dominant model of Mendelian inheritance.

21. The computer implementation system of claim 17, wherein the input comprises a selection between an autosomal model of Mendelian inheritance, an X-linked model of Mendelian inheritance, and a Y-linked model of Mendelian inheritance.

22. The computer implementation system of claim 17, wherein the input comprises a selection of whether to allow de novo mutations.

23. The computer implementation system of claim 17, wherein the list is an index list, the computer implementation system further comprising a forming module that, by a processor, forms the index list, from a master list of more genetic variants than are in the index list.

24. The computer implementation system of claim 23, wherein the forming module, by a processor:

from the master list, removes common variants that satisfy a user-defined threshold;

from the master list, removes variants in at least one intergenic region; and

from the master list, removes deep intronic variants and synonymous variants that do not have associated records in a selected database.

25. A machine-readable medium comprising machine-readable instructions for causing a processor to execute a method comprising:

(1) receiving an input from a user;

(2) from a list of genetic variants, removing variants not compatible with a Mendelian inheritance model determined by an input to the processor and based on a family history of the proband;

(3) from the list of variants, removing variants that are present in unaffected controls above a specified frequency and specified occurrence that are determined by the input; and

(4) identifying a genetic influence for the condition, based on one or more remaining variants in the list.

26. The machine-readable medium of claim 25, wherein the list is an index list, and wherein the method further comprises forming the index list, from a master list of more genetic variants than are in the index list.

27. The machine-readable medium of claim 26, wherein forming the index list comprises:

within the list of variants, annotating a description of variants based on locations of at least one of (a) mutations in respective genes, or (b) amino acid alterations in affected proteins;

within the list of variants, annotating population frequencies of variants;

within the list of variants, annotating disease information associated with variants;

within the list of variants, annotating with evolutionary conservation indicators at variant positions; and

within the list of variants, annotating at least one prediction of a deleterious effect of at least one variant.

28. The machine-readable medium of claim 26, wherein forming the index list comprises:

from the master list, removing common variants that satisfy a user-defined threshold;

from the master list, removing variants in at least one intergenic region; and

from the master list, removing deep intronic variants and synonymous variants that do not have associated records in a selected database.

29. The machine-readable medium of claim 25, wherein the input comprises:

a selection between a recessive model of Mendelian inheritance and a dominant model of Mendelian inheritance;

a selection between an autosomal model of Mendelian inheritance, an X-linked model of Mendelian inheritance, and a Y-linked model of Mendelian inheritance; and

a selection of whether to allow de novo mutations.