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Detailed information for vg0918948219:

Variant ID: vg0918948219 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 18948219
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 1.00, A: 0.01, others allele: 0.00, population size: 113. )

Flanking Sequence (100 bp) in Reference Genome:


GATTAATCACATAAGATACGAGATTTAACATGAAAAACCATTCTAAGATAGGAAAGAGAGAGCCATGGATACCAGCCAGCAAATCTTCACTATATCAGAT[G/A]
AGATTACAACGTTGAACGGCGACTTACAATATATATATATATATATAAAGGTAAAACCTCTAAAAGTATGACGATACATACTGCCGTGTGAAAATGAATT

Reverse complement sequence

AATTCATTTTCACACGGCAGTATGTATCGTCATACTTTTAGAGGTTTTACCTTTATATATATATATATATATTGTAAGTCGCCGTTCAACGTTGTAATCT[C/T]
ATCTGATATAGTGAAGATTTGCTGGCTGGTATCCATGGCTCTCTCTTTCCTATCTTAGAATGGTTTTTCATGTTAAATCTCGTATCTTATGTGATTAATC

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 92.80% 7.10% 0.04% 0.00% NA
All Indica  2759 93.80% 6.10% 0.07% 0.00% NA
All Japonica  1512 100.00% 0.00% 0.00% 0.00% NA
Aus  269 40.90% 59.10% 0.00% 0.00% NA
Indica I  595 88.20% 11.60% 0.17% 0.00% NA
Indica II  465 98.10% 1.90% 0.00% 0.00% NA
Indica III  913 96.70% 3.20% 0.11% 0.00% NA
Indica Intermediate  786 92.10% 7.90% 0.00% 0.00% NA
Temperate Japonica  767 100.00% 0.00% 0.00% 0.00% NA
Tropical Japonica  504 100.00% 0.00% 0.00% 0.00% NA
Japonica Intermediate  241 100.00% 0.00% 0.00% 0.00% NA
VI/Aromatic  96 99.00% 1.00% 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
vg0918948219 G -> A LOC_Os09g31446.1 upstream_gene_variant ; 2029.0bp to feature; MODIFIER silent_mutation Average:84.34; most accessible tissue: Zhenshan97 panicle, score: 97.303 N N N N
vg0918948219 G -> A LOC_Os09g31450.1 downstream_gene_variant ; 1865.0bp to feature; MODIFIER silent_mutation Average:84.34; most accessible tissue: Zhenshan97 panicle, score: 97.303 N N N N
vg0918948219 G -> A LOC_Os09g31446-LOC_Os09g31450 intergenic_region ; MODIFIER silent_mutation Average:84.34; most accessible tissue: Zhenshan97 panicle, score: 97.303 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)
vg0918948219 G A -0.03 0.01 0.01 0.02 0.01 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0918948219 NA 1.49E-10 mr1325 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
vg0918948219 NA 9.52E-13 mr1326 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
vg0918948219 NA 4.69E-12 mr1713 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
vg0918948219 NA 2.46E-08 mr1299_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
vg0918948219 NA 7.77E-17 mr1342_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
vg0918948219 NA 7.42E-06 mr1482_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
vg0918948219 NA 3.77E-08 mr1676_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
vg0918948219 NA 1.24E-08 mr1700_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
vg0918948219 NA 3.25E-08 mr1733_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
vg0918948219 NA 1.13E-15 mr1938_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
vg0918948219 2.56E-07 2.56E-07 mr1978_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