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Detailed information for vg0403563096:

Variant ID: vg0403563096 (JBrowse)Variation Type: SNP
Chromosome: chr04Position: 3563096
Reference Allele: TAlternative Allele: C
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.96, T: 0.04, others allele: 0.00, population size: 191. )

Flanking Sequence (100 bp) in Reference Genome:


CAAAGGCTCCGTTGGGAATTAATTAGGCTAAAGACGGGTTAATTAGGATGAGTAGATTCATCGGAATAATTTGTTTTTTATTAGTTTACGTTTAATATTT[T/C]
AAATGTGTGTCCGTATACTTAAAAAAATTGAAATGGAACTAAACACGGCCTATGTCCATGGGCCATGTTTAGATTCAACTTTTTTTTTTCCAAAAACGTC

Reverse complement sequence

GACGTTTTTGGAAAAAAAAAAGTTGAATCTAAACATGGCCCATGGACATAGGCCGTGTTTAGTTCCATTTCAATTTTTTTAAGTATACGGACACACATTT[A/G]
AAATATTAAACGTAAACTAATAAAAAACAAATTATTCCGATGAATCTACTCATCCTAATTAACCCGTCTTTAGCCTAATTAATTCCCAACGGAGCCTTTG

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 80.50% 19.30% 0.19% 0.00% NA
All Indica  2759 89.90% 10.00% 0.11% 0.00% NA
All Japonica  1512 59.00% 40.70% 0.33% 0.00% NA
Aus  269 96.30% 3.30% 0.37% 0.00% NA
Indica I  595 99.50% 0.50% 0.00% 0.00% NA
Indica II  465 97.20% 2.80% 0.00% 0.00% NA
Indica III  913 80.70% 18.90% 0.33% 0.00% NA
Indica Intermediate  786 88.80% 11.20% 0.00% 0.00% NA
Temperate Japonica  767 39.60% 59.70% 0.65% 0.00% NA
Tropical Japonica  504 89.10% 10.90% 0.00% 0.00% NA
Japonica Intermediate  241 57.70% 42.30% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 86.70% 13.30% 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
vg0403563096 T -> C LOC_Os04g06770.1 upstream_gene_variant ; 179.0bp to feature; MODIFIER silent_mutation Average:79.519; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0403563096 T -> C LOC_Os04g06770.2 upstream_gene_variant ; 303.0bp to feature; MODIFIER silent_mutation Average:79.519; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0403563096 T -> C LOC_Os04g06780.1 downstream_gene_variant ; 2329.0bp to feature; MODIFIER silent_mutation Average:79.519; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0403563096 T -> C LOC_Os04g06770-LOC_Os04g06780 intergenic_region ; MODIFIER silent_mutation Average:79.519; most accessible tissue: Minghui63 panicle, score: 91.586 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)
vg0403563096 T C -0.03 -0.03 -0.03 -0.02 -0.02 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0403563096 NA 8.27E-06 mr1271 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
vg0403563096 NA 2.54E-08 mr1715_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
vg0403563096 NA 8.12E-09 mr1798_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
vg0403563096 NA 2.94E-08 mr1805_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