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Detailed information for vg0119009306:

Variant ID: vg0119009306 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 19009306
Reference Allele: GAlternative Allele: T
Primary Allele: GSecondary Allele: T

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


GGTAGTCATCAGTTTCACGAGTTATTAATTGAACACATTTCTTCCGTGTGAGATGTGACAGTAGGCAGCGGTAGCCGGCGATGACGCAACCATTAAGGTG[G/T]
TGTTTGGATTCACGGGCTAAACTTTAGTCCCTGTTATATCGGATGTTTGGACACTAATTTGGAGAATTAAACATAGACTACTTACAAAACCAATTACATA

Reverse complement sequence

TATGTAATTGGTTTTGTAAGTAGTCTATGTTTAATTCTCCAAATTAGTGTCCAAACATCCGATATAACAGGGACTAAAGTTTAGCCCGTGAATCCAAACA[C/A]
CACCTTAATGGTTGCGTCATCGCCGGCTACCGCTGCCTACTGTCACATCTCACACGGAAGAAATGTGTTCAATTAATAACTCGTGAAACTGATGACTACC

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 87.90% 12.00% 0.08% 0.00% NA
All Indica  2759 98.20% 1.80% 0.00% 0.00% NA
All Japonica  1512 72.90% 26.90% 0.13% 0.00% NA
Aus  269 72.10% 27.50% 0.37% 0.00% NA
Indica I  595 99.80% 0.20% 0.00% 0.00% NA
Indica II  465 98.50% 1.50% 0.00% 0.00% NA
Indica III  913 98.70% 1.30% 0.00% 0.00% NA
Indica Intermediate  786 96.30% 3.70% 0.00% 0.00% NA
Temperate Japonica  767 86.40% 13.30% 0.26% 0.00% NA
Tropical Japonica  504 68.70% 31.30% 0.00% 0.00% NA
Japonica Intermediate  241 39.00% 61.00% 0.00% 0.00% NA
VI/Aromatic  96 74.00% 25.00% 1.04% 0.00% NA
Intermediate  90 85.60% 14.40% 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
vg0119009306 G -> T LOC_Os01g34480.1 upstream_gene_variant ; 402.0bp to feature; MODIFIER silent_mutation Average:93.189; most accessible tissue: Minghui63 flag leaf, score: 97.979 N N N N
vg0119009306 G -> T LOC_Os01g34480.3 upstream_gene_variant ; 402.0bp to feature; MODIFIER silent_mutation Average:93.189; most accessible tissue: Minghui63 flag leaf, score: 97.979 N N N N
vg0119009306 G -> T LOC_Os01g34480.2 upstream_gene_variant ; 402.0bp to feature; MODIFIER silent_mutation Average:93.189; most accessible tissue: Minghui63 flag leaf, score: 97.979 N N N N
vg0119009306 G -> T LOC_Os01g34460.1 downstream_gene_variant ; 4278.0bp to feature; MODIFIER silent_mutation Average:93.189; most accessible tissue: Minghui63 flag leaf, score: 97.979 N N N N
vg0119009306 G -> T LOC_Os01g34470.1 downstream_gene_variant ; 2314.0bp to feature; MODIFIER silent_mutation Average:93.189; most accessible tissue: Minghui63 flag leaf, score: 97.979 N N N N
vg0119009306 G -> T LOC_Os01g34470-LOC_Os01g34480 intergenic_region ; MODIFIER silent_mutation Average:93.189; most accessible tissue: Minghui63 flag leaf, score: 97.979 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)
vg0119009306 G T -0.01 -0.01 -0.01 0.0 -0.01 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0119009306 NA 2.42E-06 mr1183 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
vg0119009306 NA 8.79E-07 mr1622 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
vg0119009306 4.63E-08 NA mr1113_2 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
vg0119009306 1.36E-06 NA mr1114_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
vg0119009306 1.85E-06 NA mr1117_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
vg0119009306 5.43E-06 NA mr1119_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
vg0119009306 6.48E-06 NA mr1120_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
vg0119009306 1.91E-06 NA mr1123_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
vg0119009306 4.20E-06 NA mr1240_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
vg0119009306 5.45E-06 NA mr1242_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
vg0119009306 4.65E-06 NA mr1247_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
vg0119009306 6.50E-06 NA mr1496_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
vg0119009306 NA 8.97E-07 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