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Detailed information for vg1121991352:

Variant ID: vg1121991352 (JBrowse)Variation Type: INDEL
Chromosome: chr11Position: 21991352
Reference Allele: AAlternative Allele: G,AAAATG
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


TATTTTCTGAAATTATTAATTATTTTATTTGTGACTTACTTTATTATCTACAGTTCTTTAAACACAACTTTTCGTTTTTTAGATTTGCAAAAAAAAAATT[A/G,AAAATG]
AATAAGACGAGTGGCCAAACGTTACAAGCAAAAACTGAAAATCACTTTTATTGTGGGACGGAGGGAGTAAAAGATTTAGATCGGGAAATAGTAAGGTTTA

Reverse complement sequence

TAAACCTTACTATTTCCCGATCTAAATCTTTTACTCCCTCCGTCCCACAATAAAAGTGATTTTCAGTTTTTGCTTGTAACGTTTGGCCACTCGTCTTATT[T/C,CATTTT]
AATTTTTTTTTTGCAAATCTAAAAAACGAAAAGTTGTGTTTAAAGAACTGTAGATAATAAAGTAAGTCACAAATAAAATAATTAATAATTTCAGAAAATA

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 80.20% 14.60% 0.08% 5.12% AAAATG: 0.06%
All Indica  2759 81.70% 14.10% 0.04% 4.02% AAAATG: 0.11%
All Japonica  1512 85.80% 11.60% 0.00% 2.58% NA
Aus  269 61.70% 12.30% 0.74% 25.28% NA
Indica I  595 91.90% 7.60% 0.17% 0.34% NA
Indica II  465 98.10% 1.50% 0.00% 0.43% NA
Indica III  913 68.20% 23.90% 0.00% 7.56% AAAATG: 0.33%
Indica Intermediate  786 80.00% 15.10% 0.00% 4.83% NA
Temperate Japonica  767 95.80% 3.50% 0.00% 0.65% NA
Tropical Japonica  504 70.40% 24.20% 0.00% 5.36% NA
Japonica Intermediate  241 85.90% 11.20% 0.00% 2.90% NA
VI/Aromatic  96 11.50% 68.80% 1.04% 18.75% NA
Intermediate  90 65.60% 27.80% 0.00% 6.67% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1121991352 A -> DEL N N silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> AAAATG LOC_Os11g37210.1 upstream_gene_variant ; 1003.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> AAAATG LOC_Os11g37200.1 downstream_gene_variant ; 4909.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> AAAATG LOC_Os11g37230.1 downstream_gene_variant ; 221.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> AAAATG LOC_Os11g37230.2 downstream_gene_variant ; 221.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> AAAATG LOC_Os11g37210-LOC_Os11g37230 intergenic_region ; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> G LOC_Os11g37210.1 upstream_gene_variant ; 1002.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> G LOC_Os11g37200.1 downstream_gene_variant ; 4908.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> G LOC_Os11g37230.1 downstream_gene_variant ; 222.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> G LOC_Os11g37230.2 downstream_gene_variant ; 222.0bp to feature; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 N N N N
vg1121991352 A -> G LOC_Os11g37210-LOC_Os11g37230 intergenic_region ; MODIFIER silent_mutation Average:85.072; most accessible tissue: Minghui63 panicle, score: 97.008 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)
vg1121991352 A AAAAT* 0.37 -0.03 -0.07 -0.05 -0.05 -0.22
vg1121991352 A G -0.02 -0.04 -0.03 -0.02 -0.02 -0.03

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1121991352 NA 3.12E-10 Heading_date All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg1121991352 NA 2.45E-09 Heading_date Ind_All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg1121991352 3.37E-06 3.37E-06 mr1260 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
vg1121991352 NA 2.77E-06 mr1289 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
vg1121991352 NA 3.30E-06 mr1653 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
vg1121991352 NA 6.84E-07 mr1277_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
vg1121991352 NA 7.81E-06 mr1467_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
vg1121991352 NA 6.34E-06 mr1579_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
vg1121991352 NA 1.62E-06 mr1653_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