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Detailed information for vg0308093586:

Variant ID: vg0308093586 (JBrowse)Variation Type: SNP
Chromosome: chr03Position: 8093586
Reference Allele: TAlternative Allele: G
Primary Allele: TSecondary Allele: G

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.92, G: 0.08, others allele: 0.00, population size: 263. )

Flanking Sequence (100 bp) in Reference Genome:


TTCACTCAAGTATATTTATATTTATATAAGTGCGTTGAGTGAGCTATAGCAAAATGATTAGTCTGCATGCTGCAACCCAACCACAAGTGTACTATTATGC[T/G]
GCACAGATAGAATCGACGTTGACATCTATCGATTCCCTGATAAAAAAATAAATTGTATTTTTGGACGCCAGGATCGTACGTACATTTAACTGGCTCTCTA

Reverse complement sequence

TAGAGAGCCAGTTAAATGTACGTACGATCCTGGCGTCCAAAAATACAATTTATTTTTTTATCAGGGAATCGATAGATGTCAACGTCGATTCTATCTGTGC[A/C]
GCATAATAGTACACTTGTGGTTGGGTTGCAGCATGCAGACTAATCATTTTGCTATAGCTCACTCAACGCACTTATATAAATATAAATATACTTGAGTGAA

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 90.00% 10.00% 0.04% 0.00% NA
All Indica  2759 99.90% 0.10% 0.00% 0.00% NA
All Japonica  1512 69.40% 30.50% 0.13% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 100.00% 0.00% 0.00% 0.00% NA
Indica II  465 99.80% 0.20% 0.00% 0.00% NA
Indica III  913 99.90% 0.10% 0.00% 0.00% NA
Indica Intermediate  786 99.90% 0.10% 0.00% 0.00% NA
Temperate Japonica  767 73.00% 27.00% 0.00% 0.00% NA
Tropical Japonica  504 79.60% 20.40% 0.00% 0.00% NA
Japonica Intermediate  241 36.50% 62.70% 0.83% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 92.20% 7.80% 0.00% 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
vg0308093586 T -> G LOC_Os03g14840.1 downstream_gene_variant ; 4634.0bp to feature; MODIFIER silent_mutation Average:89.368; most accessible tissue: Zhenshan97 root, score: 93.942 N N N N
vg0308093586 T -> G LOC_Os03g14850.1 downstream_gene_variant ; 2953.0bp to feature; MODIFIER silent_mutation Average:89.368; most accessible tissue: Zhenshan97 root, score: 93.942 N N N N
vg0308093586 T -> G LOC_Os03g14840-LOC_Os03g14850 intergenic_region ; MODIFIER silent_mutation Average:89.368; most accessible tissue: Zhenshan97 root, score: 93.942 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)
vg0308093586 T G -0.01 0.0 0.0 -0.02 -0.02 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0308093586 NA 9.98E-06 mr1305 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
vg0308093586 NA 1.06E-06 mr1585 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
vg0308093586 3.23E-07 NA mr1617 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
vg0308093586 1.32E-06 3.27E-10 mr1712 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
vg0308093586 NA 2.75E-08 mr1691_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