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Detailed information for vg1008896769:

Variant ID: vg1008896769 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 8896769
Reference Allele: GAlternative Allele: A
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.92, A: 0.07, others allele: 0.00, population size: 107. )

Flanking Sequence (100 bp) in Reference Genome:


CATCCATGGCGGCTCAGCAAGCATCACCAATCGGAGCCGGGCAGCCGAATGCCATGGCCCAACCTCACGCGCAAGCTATGATTTTGCCCTTCGCCACGCT[G/A]
TACCCGCAGCAGGGTGTCGTTAACAGGGCAGGGGGCGAAAAGGTGCTACCGCTGCGTAGGGGAATCAAGACCTGTCCAATCCCACCCCAGTTCAAGTTCC

Reverse complement sequence

GGAACTTGAACTGGGGTGGGATTGGACAGGTCTTGATTCCCCTACGCAGCGGTAGCACCTTTTCGCCCCCTGCCCTGTTAACGACACCCTGCTGCGGGTA[C/T]
AGCGTGGCGAAGGGCAAAATCATAGCTTGCGCGTGAGGTTGGGCCATGGCATTCGGCTGCCCGGCTCCGATTGGTGATGCTTGCTGAGCCGCCATGGATG

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 65.40% 26.50% 6.79% 1.35% NA
All Indica  2759 96.00% 1.60% 1.78% 0.62% NA
All Japonica  1512 24.10% 74.20% 1.26% 0.40% NA
Aus  269 3.00% 1.10% 81.78% 14.13% NA
Indica I  595 98.20% 0.30% 0.34% 1.18% NA
Indica II  465 98.50% 0.90% 0.43% 0.22% NA
Indica III  913 95.30% 2.60% 1.86% 0.22% NA
Indica Intermediate  786 93.60% 1.90% 3.56% 0.89% NA
Temperate Japonica  767 6.50% 93.50% 0.00% 0.00% NA
Tropical Japonica  504 46.60% 49.00% 3.17% 1.19% NA
Japonica Intermediate  241 33.20% 65.60% 1.24% 0.00% NA
VI/Aromatic  96 25.00% 47.90% 26.04% 1.04% NA
Intermediate  90 48.90% 40.00% 8.89% 2.22% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1008896769 G -> A LOC_Os10g17610.1 synonymous_variant ; p.Leu263Leu; LOW synonymous_codon Average:77.06; most accessible tissue: Zhenshan97 flag leaf, score: 87.567 N N N N
vg1008896769 G -> DEL LOC_Os10g17610.1 N frameshift_variant Average:77.06; most accessible tissue: Zhenshan97 flag leaf, score: 87.567 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)
vg1008896769 G A 0.0 0.0 0.0 0.0 0.0 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1008896769 3.92E-06 3.92E-06 mr1110 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
vg1008896769 NA 7.22E-07 mr1118 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
vg1008896769 NA 8.08E-09 mr1495 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
vg1008896769 NA 1.03E-06 mr1622 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
vg1008896769 NA 3.14E-07 mr1110_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
vg1008896769 NA 6.89E-09 mr1118_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
vg1008896769 NA 2.87E-06 mr1123_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
vg1008896769 NA 1.59E-12 mr1258_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
vg1008896769 4.39E-06 3.47E-14 mr1495_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
vg1008896769 NA 2.77E-07 mr1936_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