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Detailed information for vg1121555599:

Variant ID: vg1121555599 (JBrowse)Variation Type: SNP
Chromosome: chr11Position: 21555599
Reference Allele: AAlternative Allele: G
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.59, G: 0.41, others allele: 0.00, population size: 70. )

Flanking Sequence (100 bp) in Reference Genome:


AGTGGGTGTCGTTAGGTTCTTAGAGGAAGAGCAGAGGCAGAGGTGAGGTGAGTGACAGAGTGAGTAGTCTACTGTGGTCGAATTGGACACGTGTCATGCT[A/G]
GGAAGTGAAGTCCTCGAGATCAAGGATAATTTTTCAATATATGCCATTCAATTCGTCGCACTTTCAGATTTTGCCCCTCAATTCGTCACACTTTTAGAAT

Reverse complement sequence

ATTCTAAAAGTGTGACGAATTGAGGGGCAAAATCTGAAAGTGCGACGAATTGAATGGCATATATTGAAAAATTATCCTTGATCTCGAGGACTTCACTTCC[T/C]
AGCATGACACGTGTCCAATTCGACCACAGTAGACTACTCACTCTGTCACTCACCTCACCTCTGCCTCTGCTCTTCCTCTAAGAACCTAACGACACCCACT

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 38.20% 25.00% 0.83% 35.97% NA
All Indica  2759 50.50% 2.80% 0.80% 45.96% NA
All Japonica  1512 12.30% 69.30% 0.99% 17.39% NA
Aus  269 66.90% 11.50% 0.00% 21.56% NA
Indica I  595 67.10% 2.40% 1.18% 29.41% NA
Indica II  465 41.90% 2.60% 1.51% 53.98% NA
Indica III  913 46.70% 1.30% 0.33% 51.70% NA
Indica Intermediate  786 47.50% 4.80% 0.64% 47.07% NA
Temperate Japonica  767 11.50% 79.40% 0.78% 8.34% NA
Tropical Japonica  504 15.90% 55.40% 0.40% 28.37% NA
Japonica Intermediate  241 7.50% 66.40% 2.90% 23.24% NA
VI/Aromatic  96 8.30% 5.20% 1.04% 85.42% NA
Intermediate  90 41.10% 25.60% 1.11% 32.22% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1121555599 A -> DEL N N silent_mutation Average:45.791; most accessible tissue: Callus, score: 92.194 N N N N
vg1121555599 A -> G LOC_Os11g36530.1 intron_variant ; MODIFIER silent_mutation Average:45.791; most accessible tissue: Callus, score: 92.194 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)
vg1121555599 A G 0.08 0.04 0.03 0.01 0.03 0.04

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1121555599 2.76E-06 2.76E-06 mr1545 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