VARIANT ANNOTATION, ANALYSIS AND SELECTION TOOL
Disclosed are methods for detecting and/or prioritizing phenotype-causing genomic variants and related software tools. The methods include genomic feature based analysis and can combine variant frequency information with sequence characteristics such as amino acid substation. The methods disclosed are useful in any genomics study; for example, rare and common disease gene discovery, tumor growth mutation detection, personalized medicine, agricultural analysis, and centennial analysis.
1 .- 44 . (canceled)
45 . A computer-implemented method for identifying disease-causing genetic variants within a feature, comprising:
(a) accessing, in computer memory, a set of sequencing reads of an individual;
(b) aligning the set of sequencing reads to a human genome, thereby producing a set of aligned sequencing reads;
(c) analyzing the set of aligned sequencing reads to detect genetic variants of the individual;
(d) storing, in computer memory, a genome variant file comprising the detected genetic variants of the individual;
(e) annotating the genetic variants in the genome variant file with respect to an impact of the genetic variants on existing genome annotations, wherein the annotating is in respect to:
whether the genetic variant is a coding variant, a non-coding variant, a synonymous variant, a non-synonymous variant, a loss-of-function variant, a stop codon causing variant, a change in regulatory elements, or a change in splice sites, or
known variant frequencies in a population;
(f) selecting a feature, wherein the feature comprises any span or collection of spans of a genome sequence or transcriptome sequence, and wherein the feature comprises a gene, a transcript, an exon, an intron, an untranslated region (UTR), a genetic locus, an extended gene region including regulatory elements, a list of 2 or more genes, a genetic pathway, an ontology category, or a combination thereof, and
(g) scoring the genetic variants within the selected feature, wherein the scoring comprises:
i) comparing composite allele frequencies in a target genome for the selected feature in the genome variant file with the corresponding allele frequencies in a background database for the selected feature;
ii) determining a statistical probability of each genetic variant and as a composite in the selected feature; and
iii) ranking genetic variants and corresponding features based at least in part on the statistical probability of each genetic variant or of a composite feature genotype;
and wherein the scoring comprises calculating a composite likelihood ratio.
46 . The method of claim 45 , wherein the set of sequencing reads is generated at least in part by whole genome sequencing, exome sequencing, transcriptome sequencing, chip and bead-type genotyping, or a combination thereof.
47 . The method of claim 46 , wherein the genome variant file is derived from a set of case individuals all with a known phenotype.
48 . The method of claim 47 , wherein the background database is derived from a set of control individuals without the known phenotype.
49 . The method of claim 45 , wherein the genome variant file is derived from a plurality of individuals.
50 . The method of claim 49 , wherein the plurality of individuals are genetically related.
51 . The method of claim 50 , further comprising analyzing a pedigree information of the individual.
52 . The method of claim 45 , wherein the genome variant file is derived from a tumor sample.
53 . The method of claim 52 , wherein the background database is derived from a normal genome.
54 . The method of claim 45 , wherein the known variant frequencies are derived from a disease variant database.
55 . The method of claim 45 , wherein the scoring is based at least in part on ontology and pathway information.
56 . The method of claim 45 , wherein the disease is a human disease.
57 . The method of claim 56 , wherein the genetic variants identify disease-associated genes.