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Detailed information for vg1003059277:

Variant ID: vg1003059277 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 3059277
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.98, others allele: 0.00, population size: 45. )

Flanking Sequence (100 bp) in Reference Genome:


TACACCTATAGAAAAACCGGCCACCGAACGACTTTATCTGCTCCCTTGTCTAGTCATCCTTATCACCACACCTCCTCTTCCGTCTCCTCCTCCTCCTCCT[C/T]
CCTCCTCCTCCACACTTGCTCCCGCCGCCTCACTCACACCCGCCCCTACTGTCGCCGCACGCCTACCTCCTCATTACCACCCCTACCCGCTACATCCTCC

Reverse complement sequence

GGAGGATGTAGCGGGTAGGGGTGGTAATGAGGAGGTAGGCGTGCGGCGACAGTAGGGGCGGGTGTGAGTGAGGCGGCGGGAGCAAGTGTGGAGGAGGAGG[G/A]
AGGAGGAGGAGGAGGAGACGGAAGAGGAGGTGTGGTGATAAGGATGACTAGACAAGGGAGCAGATAAAGTCGTTCGGTGGCCGGTTTTTCTATAGGTGTA

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 55.30% 0.30% 5.65% 38.76% NA
All Indica  2759 28.70% 0.20% 7.90% 63.18% NA
All Japonica  1512 94.90% 0.50% 1.85% 2.78% NA
Aus  269 96.70% 0.00% 0.37% 2.97% NA
Indica I  595 17.60% 0.20% 12.61% 69.58% NA
Indica II  465 43.00% 0.20% 5.59% 51.18% NA
Indica III  913 27.60% 0.20% 5.59% 66.59% NA
Indica Intermediate  786 30.00% 0.10% 8.40% 61.45% NA
Temperate Japonica  767 99.00% 0.00% 0.52% 0.52% NA
Tropical Japonica  504 90.70% 1.40% 4.76% 3.17% NA
Japonica Intermediate  241 90.90% 0.00% 0.00% 9.13% NA
VI/Aromatic  96 69.80% 1.00% 12.50% 16.67% NA
Intermediate  90 63.30% 2.20% 8.89% 25.56% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1003059277 C -> T LOC_Os10g06030.1 upstream_gene_variant ; 1659.0bp to feature; MODIFIER silent_mutation Average:75.465; most accessible tissue: Zhenshan97 young leaf, score: 91.76 N N N N
vg1003059277 C -> T LOC_Os10g06020-LOC_Os10g06030 intergenic_region ; MODIFIER silent_mutation Average:75.465; most accessible tissue: Zhenshan97 young leaf, score: 91.76 N N N N
vg1003059277 C -> DEL N N silent_mutation Average:75.465; most accessible tissue: Zhenshan97 young leaf, score: 91.76 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)
vg1003059277 C T -0.08 -0.02 -0.02 -0.04 -0.04 -0.05

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1003059277 NA 5.09E-06 mr1516 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
vg1003059277 NA 2.49E-06 mr1547 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
vg1003059277 NA 3.08E-06 mr1677 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
vg1003059277 5.54E-08 1.22E-08 mr1709 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
vg1003059277 NA 8.69E-06 mr1015_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
vg1003059277 1.53E-06 5.31E-10 mr1538_2 Ind_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
vg1003059277 4.34E-10 3.93E-12 mr1547_2 Ind_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
vg1003059277 2.01E-07 5.88E-09 mr1709_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
vg1003059277 NA 9.48E-07 mr1721_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