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Detailed information for vg0434239826:

Variant ID: vg0434239826 (JBrowse)Variation Type: SNP
Chromosome: chr04Position: 34239826
Reference Allele: AAlternative Allele: G
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 1.00, G: 0.00, others allele: 0.00, population size: 268. )

Flanking Sequence (100 bp) in Reference Genome:


CTCAAAGCAAGCAAAGGCATGAGACGAGACAGCCGTGCACTTCTCCCTCGCAGGTTGCAATCACAGCAGCAAAAGACGAACAAGCAACTCCAGCCCAACT[A/G]
CTCACATTCATTCACTCCAAGGTTGTTACTAGCATTAATTAATTGAAACTGTGTCCCAGTACAAAGATCTCAAGCATGATCTCGATTTATTTATTCAATA

Reverse complement sequence

TATTGAATAAATAAATCGAGATCATGCTTGAGATCTTTGTACTGGGACACAGTTTCAATTAATTAATGCTAGTAACAACCTTGGAGTGAATGAATGTGAG[T/C]
AGTTGGGCTGGAGTTGCTTGTTCGTCTTTTGCTGCTGTGATTGCAACCTGCGAGGGAGAAGTGCACGGCTGTCTCGTCTCATGCCTTTGCTTGCTTTGAG

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 88.70% 11.30% 0.04% 0.00% NA
All Indica  2759 98.60% 1.30% 0.04% 0.00% NA
All Japonica  1512 81.60% 18.30% 0.07% 0.00% NA
Aus  269 27.90% 72.10% 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 99.10% 0.90% 0.00% 0.00% NA
Indica Intermediate  786 96.30% 3.60% 0.13% 0.00% NA
Temperate Japonica  767 99.20% 0.70% 0.13% 0.00% NA
Tropical Japonica  504 50.00% 50.00% 0.00% 0.00% NA
Japonica Intermediate  241 91.70% 8.30% 0.00% 0.00% NA
VI/Aromatic  96 80.20% 19.80% 0.00% 0.00% NA
Intermediate  90 92.20% 7.80% 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
vg0434239826 A -> G LOC_Os04g57550.1 3_prime_UTR_variant ; 275.0bp to feature; MODIFIER silent_mutation Average:97.383; most accessible tissue: Minghui63 young leaf, score: 99.877 N N N N
vg0434239826 A -> G LOC_Os04g57540.1 upstream_gene_variant ; 967.0bp to feature; MODIFIER silent_mutation Average:97.383; most accessible tissue: Minghui63 young leaf, score: 99.877 N N N N
vg0434239826 A -> G LOC_Os04g57540.3 upstream_gene_variant ; 948.0bp to feature; MODIFIER silent_mutation Average:97.383; most accessible tissue: Minghui63 young leaf, score: 99.877 N N N N
vg0434239826 A -> G LOC_Os04g57540.2 upstream_gene_variant ; 967.0bp to feature; MODIFIER silent_mutation Average:97.383; most accessible tissue: Minghui63 young leaf, score: 99.877 N N N N
vg0434239826 A -> G LOC_Os04g57560.1 downstream_gene_variant ; 4421.0bp to feature; MODIFIER silent_mutation Average:97.383; most accessible tissue: Minghui63 young leaf, score: 99.877 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)
vg0434239826 A G 0.0 0.0 -0.02 0.0 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0434239826 NA 5.40E-06 mr1057 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
vg0434239826 NA 2.02E-06 mr1345 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
vg0434239826 NA 1.99E-06 mr1382 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
vg0434239826 NA 2.55E-06 mr1417 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
vg0434239826 NA 7.99E-06 mr1633 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
vg0434239826 NA 5.77E-13 mr1696 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
vg0434239826 NA 1.18E-14 mr1047_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
vg0434239826 NA 5.22E-10 mr1047_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
vg0434239826 NA 5.36E-12 mr1189_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
vg0434239826 NA 7.92E-06 mr1295_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
vg0434239826 NA 1.35E-11 mr1471_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
vg0434239826 NA 2.09E-11 mr1642_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
vg0434239826 NA 6.04E-06 mr1782_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
vg0434239826 NA 1.33E-06 mr1798_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
vg0434239826 NA 7.33E-11 mr1808_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
vg0434239826 NA 8.57E-08 mr1808_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
vg0434239826 2.14E-06 1.37E-12 mr1815_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
vg0434239826 2.39E-06 1.66E-08 mr1815_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