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Detailed information for vg0922903600:

Variant ID: vg0922903600 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 22903600
Reference Allele: TAlternative Allele: C
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.71, C: 0.29, others allele: 0.00, population size: 204. )

Flanking Sequence (100 bp) in Reference Genome:


ATGTACTCCTAGTTAGTTAGCTAAGCTACTCCATATATTTACATTTTCGGAATACAACAAACAAAGAAACAAACATTGTATATTTTCATGGATAAATGAA[T/C]
GGACAGTGACTTACCGGCACAAGCGCGTGGCGGACGAGATCCTGAAGATCGGCAAGGGGAAGGTGACGGCGCGGGCGTTCACGTACGGCGAGCTGTCGGA

Reverse complement sequence

TCCGACAGCTCGCCGTACGTGAACGCCCGCGCCGTCACCTTCCCCTTGCCGATCTTCAGGATCTCGTCCGCCACGCGCTTGTGCCGGTAAGTCACTGTCC[A/G]
TTCATTTATCCATGAAAATATACAATGTTTGTTTCTTTGTTTGTTGTATTCCGAAAATGTAAATATATGGAGTAGCTTAGCTAACTAACTAGGAGTACAT

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 61.70% 38.00% 0.04% 0.28% NA
All Indica  2759 97.90% 1.70% 0.07% 0.25% NA
All Japonica  1512 0.60% 99.30% 0.00% 0.13% NA
Aus  269 63.60% 36.40% 0.00% 0.00% NA
Indica I  595 98.80% 0.70% 0.17% 0.34% NA
Indica II  465 97.20% 2.40% 0.00% 0.43% NA
Indica III  913 98.60% 1.30% 0.00% 0.11% NA
Indica Intermediate  786 96.90% 2.70% 0.13% 0.25% NA
Temperate Japonica  767 0.30% 99.70% 0.00% 0.00% NA
Tropical Japonica  504 1.00% 98.80% 0.00% 0.20% NA
Japonica Intermediate  241 0.80% 98.80% 0.00% 0.41% NA
VI/Aromatic  96 4.20% 95.80% 0.00% 0.00% NA
Intermediate  90 32.20% 63.30% 0.00% 4.44% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0922903600 T -> DEL N N silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0922903600 T -> C LOC_Os09g39930.1 splice_region_variant&intron_variant ; LOW silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0922903600 T -> C LOC_Os09g39940.1 upstream_gene_variant ; 4252.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0922903600 T -> C LOC_Os09g39920.1 downstream_gene_variant ; 969.0bp to feature; 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)
vg0922903600 T C -0.02 -0.02 -0.03 -0.02 -0.03 -0.04

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0922903600 NA 3.62E-17 Awn_length 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
vg0922903600 NA 9.84E-39 mr1064 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
vg0922903600 NA 1.18E-43 mr1092 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
vg0922903600 NA 2.54E-15 mr1228 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
vg0922903600 NA 8.33E-43 mr1534 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
vg0922903600 NA 2.27E-71 mr1865 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
vg0922903600 NA 4.16E-60 mr1064_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
vg0922903600 NA 2.58E-33 mr1256_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
vg0922903600 NA 1.31E-14 mr1324_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
vg0922903600 NA 2.85E-12 mr1325_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
vg0922903600 NA 7.77E-23 mr1386_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
vg0922903600 NA 3.67E-07 mr1623_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