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Detailed information for vg0405603570:

Variant ID: vg0405603570 (JBrowse)Variation Type: SNP
Chromosome: chr04Position: 5603570
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 1.00, T: 0.00, others allele: 0.00, population size: 281. )

Flanking Sequence (100 bp) in Reference Genome:


TGTAAAACCTACCTCACACACAGAACAATCACAGGACTGCGGGTTGATTGCCTAAAGCCCTAGGGACCTTTTTGCATATTGGCCAGGGCTGACCAGTGCA[C/T]
CCATCCCTTTTAAAAATTGGAAAATATAAAGAAAATCATCTAAGCATTATAATTTCAACAGGAAAACATCCAAAGTTGTAAAATCCATATAAAATCAAAT

Reverse complement sequence

ATTTGATTTTATATGGATTTTACAACTTTGGATGTTTTCCTGTTGAAATTATAATGCTTAGATGATTTTCTTTATATTTTCCAATTTTTAAAAGGGATGG[G/A]
TGCACTGGTCAGCCCTGGCCAATATGCAAAAAGGTCCCTAGGGCTTTAGGCAATCAACCCGCAGTCCTGTGATTGTTCTGTGTGTGAGGTAGGTTTTACA

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 89.30% 7.70% 0.74% 2.29% NA
All Indica  2759 99.00% 0.50% 0.07% 0.47% NA
All Japonica  1512 69.80% 22.40% 1.98% 5.82% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 100.00% 0.00% 0.00% 0.00% NA
Indica II  465 99.80% 0.20% 0.00% 0.00% NA
Indica III  913 97.50% 0.90% 0.22% 1.42% NA
Indica Intermediate  786 99.50% 0.50% 0.00% 0.00% NA
Temperate Japonica  767 66.00% 33.90% 0.00% 0.13% NA
Tropical Japonica  504 68.70% 9.50% 5.95% 15.87% NA
Japonica Intermediate  241 84.60% 12.40% 0.00% 2.90% NA
VI/Aromatic  96 89.60% 5.20% 1.04% 4.17% NA
Intermediate  90 85.60% 8.90% 2.22% 3.33% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0405603570 C -> DEL N N silent_mutation Average:97.634; most accessible tissue: Minghui63 young leaf, score: 98.957 N N N N
vg0405603570 C -> T LOC_Os04g10360.1 upstream_gene_variant ; 4503.0bp to feature; MODIFIER silent_mutation Average:97.634; most accessible tissue: Minghui63 young leaf, score: 98.957 N N N N
vg0405603570 C -> T LOC_Os04g10370.1 upstream_gene_variant ; 612.0bp to feature; MODIFIER silent_mutation Average:97.634; most accessible tissue: Minghui63 young leaf, score: 98.957 N N N N
vg0405603570 C -> T LOC_Os04g10370-LOC_Os04g10380 intergenic_region ; MODIFIER silent_mutation Average:97.634; most accessible tissue: Minghui63 young leaf, score: 98.957 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)
vg0405603570 C T -0.12 -0.11 -0.12 -0.11 -0.12 -0.11

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0405603570 1.40E-10 NA mr1035 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
vg0405603570 1.93E-08 9.24E-12 mr1035 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
vg0405603570 1.42E-08 NA mr1062 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
vg0405603570 3.64E-06 5.08E-10 mr1062 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
vg0405603570 9.03E-09 1.47E-09 mr1525 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
vg0405603570 6.95E-08 6.95E-08 mr1525 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
vg0405603570 6.96E-10 NA mr1626 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
vg0405603570 1.68E-08 5.86E-12 mr1626 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
vg0405603570 1.05E-07 NA mr1631 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
vg0405603570 2.97E-09 2.97E-09 mr1631 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
vg0405603570 2.32E-16 NA mr1035_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
vg0405603570 2.41E-11 2.22E-15 mr1035_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
vg0405603570 9.35E-11 NA mr1062_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
vg0405603570 1.21E-07 8.38E-11 mr1062_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
vg0405603570 NA 1.35E-06 mr1275_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
vg0405603570 1.57E-11 1.58E-11 mr1525_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
vg0405603570 5.79E-09 5.79E-09 mr1525_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
vg0405603570 1.43E-17 NA mr1631_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
vg0405603570 3.32E-12 2.96E-18 mr1631_2 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