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Detailed information for vg0701911490:

Variant ID: vg0701911490 (JBrowse)Variation Type: SNP
Chromosome: chr07Position: 1911490
Reference Allele: AAlternative Allele: G
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.79, A: 0.21, others allele: 0.00, population size: 47. )

Flanking Sequence (100 bp) in Reference Genome:


CATCAGGGTGAAAATTACTGAGGTGTCACATCGGATATATGGACATAAATTTAAAATATTAGACGTAGTCTAATAATAAAATAAATTACATAATCCGCAT[A/G]
TAAACTGCGAGATAAATTTATTAAGCCTAATTAATCCGTCATTAGCAAATGTTTATTGTAGCACCACATTATCAAATCATGTTGCAATTATGCTTAAAAT

Reverse complement sequence

ATTTTAAGCATAATTGCAACATGATTTGATAATGTGGTGCTACAATAAACATTTGCTAATGACGGATTAATTAGGCTTAATAAATTTATCTCGCAGTTTA[T/C]
ATGCGGATTATGTAATTTATTTTATTATTAGACTACGTCTAATATTTTAAATTTATGTCCATATATCCGATGTGACACCTCAGTAATTTTCACCCTGATG

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 50.90% 41.30% 2.01% 5.86% NA
All Indica  2759 81.90% 14.10% 1.59% 2.36% NA
All Japonica  1512 2.80% 97.20% 0.00% 0.07% NA
Aus  269 6.30% 11.20% 17.84% 64.68% NA
Indica I  595 95.60% 1.70% 1.51% 1.18% NA
Indica II  465 45.20% 52.30% 1.29% 1.29% NA
Indica III  913 92.10% 3.50% 1.75% 2.63% NA
Indica Intermediate  786 81.60% 13.20% 1.65% 3.56% NA
Temperate Japonica  767 1.30% 98.70% 0.00% 0.00% NA
Tropical Japonica  504 5.60% 94.40% 0.00% 0.00% NA
Japonica Intermediate  241 1.70% 97.90% 0.00% 0.41% NA
VI/Aromatic  96 57.30% 12.50% 1.04% 29.17% NA
Intermediate  90 32.20% 55.60% 2.22% 10.00% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0701911490 A -> DEL N N silent_mutation Average:60.733; most accessible tissue: Zhenshan97 panicle, score: 95.493 N N N N
vg0701911490 A -> G LOC_Os07g04320.1 upstream_gene_variant ; 4750.0bp to feature; MODIFIER silent_mutation Average:60.733; most accessible tissue: Zhenshan97 panicle, score: 95.493 N N N N
vg0701911490 A -> G LOC_Os07g04330.1 upstream_gene_variant ; 590.0bp to feature; MODIFIER silent_mutation Average:60.733; most accessible tissue: Zhenshan97 panicle, score: 95.493 N N N N
vg0701911490 A -> G LOC_Os07g04320-LOC_Os07g04330 intergenic_region ; MODIFIER silent_mutation Average:60.733; most accessible tissue: Zhenshan97 panicle, score: 95.493 N N N N

Effects Predicted by Deep Convolutional Neural Networks

For each variant, we constructed two sequences that contain the variation site and the sequence around it, differing only in the variation site. We then used Basenji to predict the chromatin accessibility of each tissue for the two sequences, respectively, and scored the effect of the variant by comparing the changes in chromatin accessibility corresponding to the two genotypes in the 1 kb region around the variation site. The effect score was defined as the logarithmic ratio of the predicted chromatin accessibility of the alternative genotype to the value of the reference genotype.

Var ID Ref Alt Root (RT) Young Leaf (YL) Flag Leaf (FL) Young Panicle (YP) Lemma & Palea (LP) Stamen & Pistil (SP)
vg0701911490 A G 0.01 0.0 0.0 0.0 0.0 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0701911490 NA 9.36E-09 mr1005 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 3.78E-19 mr1059 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 2.63E-09 mr1110 Ind_All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 1.04E-44 mr1141 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 3.47E-10 mr1141 Ind_All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 2.10E-19 mr1143 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 5.44E-21 mr1167 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 7.42E-07 mr1245 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 8.55E-10 mr1399 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 1.81E-18 mr1535 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 3.01E-19 mr1675 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 2.87E-07 mr1677 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 4.15E-07 mr1680 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 7.39E-16 mr1726 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 3.82E-19 mr1950 All YES Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 2.55E-19 mr1969 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 1.37E-22 mr1995 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 9.50E-10 mr1995 Ind_All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 4.18E-09 mr1141_2 Ind_All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 2.41E-11 mr1158_2 Ind_All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 2.39E-22 mr1167_2 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 6.67E-07 mr1167_2 Ind_All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 2.37E-11 mr1383_2 Ind_All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 4.61E-16 mr1726_2 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251
vg0701911490 NA 1.52E-15 mr1950_2 All Not Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism, Nat Genet, 46(7):714-21, PMID:24908251