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Detailed information for vg0220985543:

Variant ID: vg0220985543 (JBrowse)Variation Type: SNP
Chromosome: chr02Position: 20985543
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.99, T: 0.01, others allele: 0.00, population size: 313. )

Flanking Sequence (100 bp) in Reference Genome:


CCCTCATAATTGTGGGGTGATATTCTAGACTTTTCGAGTACTCACAAGACCTATAGTCCTAGACAAGGGATGAGAGAGAGACGAGGGTATAAGAGAACAT[C/T]
GTGAGAATGCGCATGAACAATTTATAGTACGAACCCATGGTATGTTACCGTTTACCATCCAAGCAACCATGATCTTAATTAACATGCACAATAAAAAACA

Reverse complement sequence

TGTTTTTTATTGTGCATGTTAATTAAGATCATGGTTGCTTGGATGGTAAACGGTAACATACCATGGGTTCGTACTATAAATTGTTCATGCGCATTCTCAC[G/A]
ATGTTCTCTTATACCCTCGTCTCTCTCTCATCCCTTGTCTAGGACTATAGGTCTTGTGAGTACTCGAAAAGTCTAGAATATCACCCCACAATTATGAGGG

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 76.40% 23.30% 0.19% 0.08% NA
All Indica  2759 64.60% 35.00% 0.25% 0.14% NA
All Japonica  1512 94.90% 5.10% 0.00% 0.00% NA
Aus  269 81.80% 17.80% 0.37% 0.00% NA
Indica I  595 80.50% 19.00% 0.17% 0.34% NA
Indica II  465 63.00% 36.60% 0.43% 0.00% NA
Indica III  913 52.90% 46.80% 0.11% 0.22% NA
Indica Intermediate  786 66.90% 32.70% 0.38% 0.00% NA
Temperate Japonica  767 94.10% 5.90% 0.00% 0.00% NA
Tropical Japonica  504 94.60% 5.40% 0.00% 0.00% NA
Japonica Intermediate  241 97.90% 2.10% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 86.70% 12.20% 1.11% 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
vg0220985543 C -> T LOC_Os02g34990.1 upstream_gene_variant ; 4130.0bp to feature; MODIFIER silent_mutation Average:82.897; most accessible tissue: Zhenshan97 flower, score: 92.433 N N N N
vg0220985543 C -> T LOC_Os02g34990.2 upstream_gene_variant ; 380.0bp to feature; MODIFIER silent_mutation Average:82.897; most accessible tissue: Zhenshan97 flower, score: 92.433 N N N N
vg0220985543 C -> T LOC_Os02g34980.1 downstream_gene_variant ; 3931.0bp to feature; MODIFIER silent_mutation Average:82.897; most accessible tissue: Zhenshan97 flower, score: 92.433 N N N N
vg0220985543 C -> T LOC_Os02g34980-LOC_Os02g34990 intergenic_region ; MODIFIER silent_mutation Average:82.897; most accessible tissue: Zhenshan97 flower, score: 92.433 N N N N
vg0220985543 C -> DEL N N silent_mutation Average:82.897; most accessible tissue: Zhenshan97 flower, score: 92.433 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)
vg0220985543 C T -0.02 -0.02 -0.03 0.0 -0.02 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0220985543 5.69E-06 5.69E-06 mr1098 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
vg0220985543 3.12E-08 3.12E-08 mr1099 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
vg0220985543 6.39E-08 7.97E-08 mr1101 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
vg0220985543 1.41E-06 1.29E-06 mr1123 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
vg0220985543 3.54E-06 3.54E-06 mr1146 Jap_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
vg0220985543 1.24E-07 1.80E-07 mr1150 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
vg0220985543 4.23E-06 5.77E-06 mr1242 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
vg0220985543 1.79E-06 9.15E-07 mr1247 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
vg0220985543 5.47E-06 2.91E-06 mr1858 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
vg0220985543 5.47E-06 2.91E-06 mr1859 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
vg0220985543 3.67E-06 1.47E-07 mr1098_2 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
vg0220985543 NA 7.88E-06 mr1099_2 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
vg0220985543 9.28E-06 5.85E-07 mr1150_2 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