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Detailed information for vg1123990140:

Variant ID: vg1123990140 (JBrowse)Variation Type: SNP
Chromosome: chr11Position: 23990140
Reference Allele: AAlternative Allele: G,C
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.73, A: 0.27, others allele: 0.00, population size: 78. )

Flanking Sequence (100 bp) in Reference Genome:


TTGCCACCTTCATCGCGGGCCAGCACCGCCGCCTGTGCCGTGCCGGCGACCGGCGGCGCGGCGCCGGCGATGGGAACGAGGCGAAGTAGCAAAAGGCACA[A/G,C]
ATGACAGACACACCCGTCGGCAAGGCAAACAAAGCAATCCTGATGATGATATCGATCTGCAGCTTTGACCACTTTGTAAACCCACTTCACGTGTTTGAAA

Reverse complement sequence

TTTCAAACACGTGAAGTGGGTTTACAAAGTGGTCAAAGCTGCAGATCGATATCATCATCAGGATTGCTTTGTTTGCCTTGCCGACGGGTGTGTCTGTCAT[T/C,G]
TGTGCCTTTTGCTACTTCGCCTCGTTCCCATCGCCGGCGCCGCGCCGCCGGTCGCCGGCACGGCACAGGCGGCGGTGCTGGCCCGCGATGAAGGTGGCAA

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 34.60% 23.30% 3.32% 38.38% C: 0.40%
All Indica  2759 28.30% 14.70% 4.35% 52.59% C: 0.04%
All Japonica  1512 41.70% 37.30% 0.60% 20.24% C: 0.20%
Aus  269 48.30% 35.30% 6.69% 9.29% C: 0.37%
Indica I  595 21.30% 5.70% 2.18% 70.76% NA
Indica II  465 9.90% 22.40% 6.24% 61.51% NA
Indica III  913 44.40% 11.10% 4.49% 39.98% C: 0.11%
Indica Intermediate  786 26.00% 21.10% 4.71% 48.22% NA
Temperate Japonica  767 41.10% 46.50% 0.65% 11.73% NA
Tropical Japonica  504 47.40% 34.50% 0.40% 17.46% C: 0.20%
Japonica Intermediate  241 31.50% 13.70% 0.83% 53.11% C: 0.83%
VI/Aromatic  96 70.80% 6.20% 3.12% 8.33% C: 11.46%
Intermediate  90 25.60% 36.70% 7.78% 26.67% C: 3.33%

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1123990140 A -> DEL N N silent_mutation Average:93.897; most accessible tissue: Zhenshan97 panicle, score: 97.869 N N N N
vg1123990140 A -> G LOC_Os11g40210.1 upstream_gene_variant ; 3101.0bp to feature; MODIFIER silent_mutation Average:93.897; most accessible tissue: Zhenshan97 panicle, score: 97.869 N N N N
vg1123990140 A -> G LOC_Os11g40220.1 downstream_gene_variant ; 3151.0bp to feature; MODIFIER silent_mutation Average:93.897; most accessible tissue: Zhenshan97 panicle, score: 97.869 N N N N
vg1123990140 A -> G LOC_Os11g40210-LOC_Os11g40220 intergenic_region ; MODIFIER silent_mutation Average:93.897; most accessible tissue: Zhenshan97 panicle, score: 97.869 N N N N
vg1123990140 A -> C LOC_Os11g40210.1 upstream_gene_variant ; 3101.0bp to feature; MODIFIER silent_mutation Average:93.897; most accessible tissue: Zhenshan97 panicle, score: 97.869 N N N N
vg1123990140 A -> C LOC_Os11g40220.1 downstream_gene_variant ; 3151.0bp to feature; MODIFIER silent_mutation Average:93.897; most accessible tissue: Zhenshan97 panicle, score: 97.869 N N N N
vg1123990140 A -> C LOC_Os11g40210-LOC_Os11g40220 intergenic_region ; MODIFIER silent_mutation Average:93.897; most accessible tissue: Zhenshan97 panicle, score: 97.869 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)
vg1123990140 A C 0.06 0.04 -0.01 0.04 0.05 0.07
vg1123990140 A G -0.02 -0.04 -0.04 0.0 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1123990140 2.33E-06 4.75E-06 mr1528_2 Ind_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