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Detailed information for vg0805565852:

Variant ID: vg0805565852 (JBrowse)Variation Type: SNP
Chromosome: chr08Position: 5565852
Reference Allele: AAlternative Allele: T
Primary Allele: TSecondary Allele: A

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.96, T: 0.04, others allele: 0.00, population size: 72. )

Flanking Sequence (100 bp) in Reference Genome:


GAAAAAGACTGAAATTTAGATCCAAATTTTGGATCTAAACACAACCCTAATTCTGGACTGGACGGTATCAACATTGATGACGACGAGCTGACAGCCATCG[A/T]
TGATAGCTGCCCTCACCTTGAGCCACTGGCATGCCCACATACAATTTACCGGTGTCACTGGACACCAGGTAAAATTGTTAAATTCTAACTAATTTATGCT

Reverse complement sequence

AGCATAAATTAGTTAGAATTTAACAATTTTACCTGGTGTCCAGTGACACCGGTAAATTGTATGTGGGCATGCCAGTGGCTCAAGGTGAGGGCAGCTATCA[T/A]
CGATGGCTGTCAGCTCGTCGTCATCAATGTTGATACCGTCCAGTCCAGAATTAGGGTTGTGTTTAGATCCAAAATTTGGATCTAAATTTCAGTCTTTTTC

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 55.20% 44.70% 0.13% 0.00% NA
All Indica  2759 73.10% 26.70% 0.14% 0.00% NA
All Japonica  1512 12.00% 88.00% 0.00% 0.00% NA
Aus  269 99.60% 0.40% 0.00% 0.00% NA
Indica I  595 39.70% 60.00% 0.34% 0.00% NA
Indica II  465 77.00% 23.00% 0.00% 0.00% NA
Indica III  913 93.60% 6.40% 0.00% 0.00% NA
Indica Intermediate  786 72.40% 27.40% 0.25% 0.00% NA
Temperate Japonica  767 3.40% 96.60% 0.00% 0.00% NA
Tropical Japonica  504 22.00% 78.00% 0.00% 0.00% NA
Japonica Intermediate  241 18.70% 81.30% 0.00% 0.00% NA
VI/Aromatic  96 91.70% 6.20% 2.08% 0.00% NA
Intermediate  90 57.80% 42.20% 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
vg0805565852 A -> T LOC_Os08g09610.1 upstream_gene_variant ; 1428.0bp to feature; MODIFIER silent_mutation Average:88.999; most accessible tissue: Minghui63 young leaf, score: 96.017 N N N N
vg0805565852 A -> T LOC_Os08g09610-LOC_Os08g09630 intergenic_region ; MODIFIER silent_mutation Average:88.999; most accessible tissue: Minghui63 young leaf, score: 96.017 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)
vg0805565852 A T 0.03 0.0 0.0 0.0 0.0 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0805565852 NA 3.67E-07 Spikelet_length Ind_All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0805565852 NA 9.78E-06 mr1170 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
vg0805565852 NA 4.74E-06 mr1177 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
vg0805565852 NA 1.76E-06 mr1177 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
vg0805565852 NA 9.90E-07 mr1236 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
vg0805565852 NA 1.83E-06 mr1583 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
vg0805565852 NA 5.76E-06 mr1729 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
vg0805565852 NA 5.69E-06 mr1740 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
vg0805565852 NA 5.60E-06 mr1751 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
vg0805565852 NA 1.70E-09 mr1807 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
vg0805565852 NA 1.96E-20 mr1817 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
vg0805565852 NA 8.33E-07 mr1063_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
vg0805565852 NA 8.08E-10 mr1170_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
vg0805565852 NA 3.33E-09 mr1221_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
vg0805565852 NA 1.34E-06 mr1236_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
vg0805565852 NA 3.41E-08 mr1807_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