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Detailed information for vg0309076778:

Variant ID: vg0309076778 (JBrowse)Variation Type: SNP
Chromosome: chr03Position: 9076778
Reference Allele: AAlternative Allele: T
Primary Allele: ASecondary Allele: T

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.89, T: 0.11, others allele: 0.00, population size: 304. )

Flanking Sequence (100 bp) in Reference Genome:


CGTCGAAGCCTGTCATGATCTGCTAGTAGACTCCTACTTCCCAGTGTCGTGTCCCTTGCAAGCTCAAGCAGTCCTCCTAATGCAGCTTCTCGAACACCCA[A/T]
GTCATCACTGGACACCAAATGCATCATAAGCCGCGGGAAACCTAGCTGTGCAAACACCGAGCAACCGGAATGGCTTTCACTAAGCAGATAATTCGTGAGG

Reverse complement sequence

CCTCACGAATTATCTGCTTAGTGAAAGCCATTCCGGTTGCTCGGTGTTTGCACAGCTAGGTTTCCCGCGGCTTATGATGCATTTGGTGTCCAGTGATGAC[T/A]
TGGGTGTTCGAGAAGCTGCATTAGGAGGACTGCTTGAGCTTGCAAGGGACACGACACTGGGAAGTAGGAGTCTACTAGCAGATCATGACAGGCTTCGACG

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 57.00% 42.40% 0.21% 0.40% NA
All Indica  2759 28.30% 70.80% 0.33% 0.62% NA
All Japonica  1512 98.90% 1.10% 0.00% 0.07% NA
Aus  269 99.30% 0.70% 0.00% 0.00% NA
Indica I  595 64.40% 34.10% 0.67% 0.84% NA
Indica II  465 6.70% 92.00% 0.22% 1.08% NA
Indica III  913 15.70% 84.00% 0.22% 0.11% NA
Indica Intermediate  786 28.50% 70.50% 0.25% 0.76% NA
Temperate Japonica  767 98.80% 1.00% 0.00% 0.13% NA
Tropical Japonica  504 98.60% 1.40% 0.00% 0.00% NA
Japonica Intermediate  241 99.60% 0.40% 0.00% 0.00% NA
VI/Aromatic  96 96.90% 3.10% 0.00% 0.00% NA
Intermediate  90 65.60% 32.20% 1.11% 1.11% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0309076778 A -> T LOC_Os03g16460.1 missense_variant ; p.Leu241Met; MODERATE nonsynonymous_codon ; L241M Average:81.501; most accessible tissue: Zhenshan97 young leaf, score: 89.666 benign -0.317 TOLERATED 0.24
vg0309076778 A -> DEL LOC_Os03g16460.1 N frameshift_variant Average:81.501; most accessible tissue: Zhenshan97 young leaf, score: 89.666 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)
vg0309076778 A T 0.04 0.02 0.03 0.03 0.03 0.04

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0309076778 NA 1.29E-09 mr1174 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
vg0309076778 NA 2.69E-06 mr1188 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
vg0309076778 NA 4.41E-06 mr1542 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
vg0309076778 NA 1.44E-06 mr1561 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
vg0309076778 NA 1.55E-11 mr1565 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
vg0309076778 NA 2.09E-11 mr1657 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
vg0309076778 NA 4.82E-06 mr1875 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
vg0309076778 NA 2.44E-08 mr1929 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
vg0309076778 NA 2.99E-11 mr1174_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
vg0309076778 NA 4.25E-08 mr1347_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
vg0309076778 NA 3.09E-07 mr1347_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
vg0309076778 NA 6.15E-06 mr1542_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
vg0309076778 NA 8.24E-06 mr1561_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
vg0309076778 NA 4.08E-12 mr1565_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
vg0309076778 NA 6.86E-06 mr1908_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