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Detailed information for vg1023072166:

Variant ID: vg1023072166 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 23072166
Reference Allele: AAlternative Allele: G
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.98, A: 0.03, others allele: 0.00, population size: 200. )

Flanking Sequence (100 bp) in Reference Genome:


TGCAATTAAATCTTCAAAACAAGACCACACATAGATATATTCCGAGGAAAAAAATTAGCTTATTATTGATTTTTTTTAAATGTTGCACGATGTTTCACCA[A/G]
GTATATCGGAATTGTTTCGCTAAGTATATCGGAAATGTTTCAATCGTTTAAATTGAGTGTTGTTTTACCTTATATAAAAACAATGTTTCAGCAGATAGCA

Reverse complement sequence

TGCTATCTGCTGAAACATTGTTTTTATATAAGGTAAAACAACACTCAATTTAAACGATTGAAACATTTCCGATATACTTAGCGAAACAATTCCGATATAC[T/C]
TGGTGAAACATCGTGCAACATTTAAAAAAAATCAATAATAAGCTAATTTTTTTCCTCGGAATATATCTATGTGTGGTCTTGTTTTGAAGATTTAATTGCA

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 65.20% 34.70% 0.06% 0.00% NA
All Indica  2759 97.50% 2.50% 0.04% 0.00% NA
All Japonica  1512 4.40% 95.60% 0.00% 0.00% NA
Aus  269 99.60% 0.40% 0.00% 0.00% NA
Indica I  595 96.00% 4.00% 0.00% 0.00% NA
Indica II  465 96.60% 3.20% 0.22% 0.00% NA
Indica III  913 99.60% 0.40% 0.00% 0.00% NA
Indica Intermediate  786 96.70% 3.30% 0.00% 0.00% NA
Temperate Japonica  767 0.80% 99.20% 0.00% 0.00% NA
Tropical Japonica  504 11.50% 88.50% 0.00% 0.00% NA
Japonica Intermediate  241 0.80% 99.20% 0.00% 0.00% NA
VI/Aromatic  96 12.50% 87.50% 0.00% 0.00% NA
Intermediate  90 51.10% 46.70% 2.22% 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
vg1023072166 A -> G LOC_Os10g42754.1 upstream_gene_variant ; 2412.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42760.1 upstream_gene_variant ; 483.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42770.1 downstream_gene_variant ; 1890.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42780.1 downstream_gene_variant ; 3230.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42780.2 downstream_gene_variant ; 3230.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42780.6 downstream_gene_variant ; 3230.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42780.3 downstream_gene_variant ; 3230.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42780.5 downstream_gene_variant ; 3230.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg1023072166 A -> G LOC_Os10g42760-LOC_Os10g42770 intergenic_region ; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 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)
vg1023072166 A G 0.0 0.0 0.01 0.01 0.01 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1023072166 NA 8.94E-10 mr1322 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
vg1023072166 NA 1.51E-15 mr1324 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
vg1023072166 NA 1.05E-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
vg1023072166 NA 1.25E-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
vg1023072166 NA 9.25E-13 mr1335 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
vg1023072166 NA 1.51E-06 mr1532 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
vg1023072166 NA 1.52E-23 mr1548 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
vg1023072166 4.08E-07 NA mr1548 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
vg1023072166 NA 4.63E-20 mr1588 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
vg1023072166 NA 4.32E-11 mr1623 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
vg1023072166 NA 7.07E-07 mr1690 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
vg1023072166 NA 7.57E-08 mr1781 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
vg1023072166 NA 2.50E-44 mr1486_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
vg1023072166 NA 6.48E-19 mr1637_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
vg1023072166 NA 3.22E-23 mr1676_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
vg1023072166 NA 2.00E-12 mr1713_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