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Detailed information for vg0412960952:

Variant ID: vg0412960952 (JBrowse)Variation Type: SNP
Chromosome: chr04Position: 12960952
Reference Allele: GAlternative Allele: A
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.96, A: 0.04, others allele: 0.00, population size: 53. )

Flanking Sequence (100 bp) in Reference Genome:


TGGTCCCACGTAGGACGGAATCGCCTCTGAGAGAAATAAGTTTACATGTCATCCCTCGACTTTACGTCAAGTTTGTATAACATCCCTAATCCCCAATATC[G/A]
AAAATCTTCACCCCTAAATTATATAAAACCATGCAATTTTGGTCTCATAACTGTATATATATATGGTCTCGCTAACGTGGCATCCTAGTCAGCAAAACAA

Reverse complement sequence

TTGTTTTGCTGACTAGGATGCCACGTTAGCGAGACCATATATATATACAGTTATGAGACCAAAATTGCATGGTTTTATATAATTTAGGGGTGAAGATTTT[C/T]
GATATTGGGGATTAGGGATGTTATACAAACTTGACGTAAAGTCGAGGGATGACATGTAAACTTATTTCTCTCAGAGGCGATTCCGTCCTACGTGGGACCA

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 63.20% 34.60% 1.97% 0.17% NA
All Indica  2759 94.40% 2.60% 2.72% 0.29% NA
All Japonica  1512 4.20% 94.90% 0.93% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 98.80% 1.00% 0.17% 0.00% NA
Indica II  465 77.20% 7.50% 13.55% 1.72% NA
Indica III  913 99.00% 0.80% 0.22% 0.00% NA
Indica Intermediate  786 95.90% 2.90% 1.15% 0.00% NA
Temperate Japonica  767 2.60% 97.00% 0.39% 0.00% NA
Tropical Japonica  504 6.50% 92.10% 1.39% 0.00% NA
Japonica Intermediate  241 4.10% 94.20% 1.66% 0.00% NA
VI/Aromatic  96 11.50% 87.50% 1.04% 0.00% NA
Intermediate  90 45.60% 51.10% 3.33% 0.00% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0412960952 G -> DEL N N silent_mutation Average:71.997; most accessible tissue: Zhenshan97 flower, score: 98.146 N N N N
vg0412960952 G -> A LOC_Os04g22870.1 upstream_gene_variant ; 1035.0bp to feature; MODIFIER silent_mutation Average:71.997; most accessible tissue: Zhenshan97 flower, score: 98.146 N N N N
vg0412960952 G -> A LOC_Os04g22870-LOC_Os04g22880 intergenic_region ; MODIFIER silent_mutation Average:71.997; most accessible tissue: Zhenshan97 flower, score: 98.146 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)
vg0412960952 G A -0.01 -0.02 -0.02 -0.01 -0.02 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0412960952 NA 1.02E-12 mr1239 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
vg0412960952 NA 5.40E-08 mr1514 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
vg0412960952 NA 2.98E-06 mr1622 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
vg0412960952 NA 6.86E-25 mr1903 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
vg0412960952 NA 4.85E-77 mr1907 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
vg0412960952 NA 3.83E-13 mr1035_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
vg0412960952 5.19E-07 NA mr1549_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
vg0412960952 1.04E-07 9.82E-09 mr1549_2 Jap_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
vg0412960952 NA 4.80E-06 mr1757_2 Jap_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