Search for Variation information by Variation ID:

Please input a variation ID (e.g., vg0722097923 , STR0500036000 ).

Detailed information for vg0920893174:

Variant ID: vg0920893174 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 20893174
Reference Allele: AAlternative Allele: G
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.69, A: 0.31, others allele: 0.00, population size: 218. )

Flanking Sequence (100 bp) in Reference Genome:


TCTCCAGGCTGTCTCTCAGTCTCTCGCGTGTTAATTTGGAGTGAGTACGTGTAAAGCCATTTTTTTCCGCGCTATGGCCAGGCTCGCAGCGGACGTCCAC[A/G]
TCCACAGCCTCGATCGCGATTCGCGCAGCATGGGTTGTGTTTGGTTGGTTTTGCAAGGGTGGCATGTGCCGTGCTAGAATCGGACATTCCGCAATGAGAC

Reverse complement sequence

GTCTCATTGCGGAATGTCCGATTCTAGCACGGCACATGCCACCCTTGCAAAACCAACCAAACACAACCCATGCTGCGCGAATCGCGATCGAGGCTGTGGA[T/C]
GTGGACGTCCGCTGCGAGCCTGGCCATAGCGCGGAAAAAAATGGCTTTACACGTACTCACTCCAAATTAACACGCGAGAGACTGAGAGACAGCCTGGAGA

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 63.00% 36.90% 0.13% 0.00% NA
All Indica  2759 43.60% 56.20% 0.22% 0.00% NA
All Japonica  1512 99.80% 0.20% 0.00% 0.00% NA
Aus  269 36.40% 63.60% 0.00% 0.00% NA
Indica I  595 8.60% 90.90% 0.50% 0.00% NA
Indica II  465 63.40% 36.30% 0.22% 0.00% NA
Indica III  913 55.50% 44.40% 0.11% 0.00% NA
Indica Intermediate  786 44.40% 55.50% 0.13% 0.00% NA
Temperate Japonica  767 99.90% 0.10% 0.00% 0.00% NA
Tropical Japonica  504 100.00% 0.00% 0.00% 0.00% NA
Japonica Intermediate  241 99.20% 0.80% 0.00% 0.00% NA
VI/Aromatic  96 91.70% 8.30% 0.00% 0.00% NA
Intermediate  90 87.80% 12.20% 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
vg0920893174 A -> G LOC_Os09g36220.1 upstream_gene_variant ; 3331.0bp to feature; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 N N N N
vg0920893174 A -> G LOC_Os09g36230.1 upstream_gene_variant ; 1738.0bp to feature; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 N N N N
vg0920893174 A -> G LOC_Os09g36240.1 upstream_gene_variant ; 4405.0bp to feature; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 N N N N
vg0920893174 A -> G LOC_Os09g36220.2 upstream_gene_variant ; 3331.0bp to feature; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 N N N N
vg0920893174 A -> G LOC_Os09g36240.2 upstream_gene_variant ; 4405.0bp to feature; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 N N N N
vg0920893174 A -> G LOC_Os09g36240.3 upstream_gene_variant ; 4409.0bp to feature; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 N N N N
vg0920893174 A -> G LOC_Os09g36240.4 upstream_gene_variant ; 4409.0bp to feature; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 N N N N
vg0920893174 A -> G LOC_Os09g36220-LOC_Os09g36230 intergenic_region ; MODIFIER silent_mutation Average:97.907; most accessible tissue: Zhenshan97 flower, score: 99.939 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)
vg0920893174 A G 0.01 -0.04 -0.02 -0.02 -0.02 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0920893174 NA 5.93E-10 mr1050 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
vg0920893174 NA 5.00E-12 mr1272 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
vg0920893174 NA 4.45E-09 mr1399 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
vg0920893174 NA 1.93E-08 mr1439 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
vg0920893174 NA 5.57E-06 mr1598 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
vg0920893174 NA 4.73E-12 mr1667 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
vg0920893174 NA 5.75E-15 mr1050_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
vg0920893174 NA 2.58E-06 mr1050_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
vg0920893174 NA 1.11E-14 mr1133_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
vg0920893174 NA 5.81E-11 mr1272_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
vg0920893174 NA 1.06E-07 mr1399_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
vg0920893174 NA 1.01E-08 mr1607_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
vg0920893174 NA 6.95E-07 mr1855_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
vg0920893174 NA 2.26E-15 mr1904_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
vg0920893174 NA 1.51E-06 mr1942_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
vg0920893174 NA 3.30E-06 mr1968_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