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Detailed information for vg0825016896:

Variant ID: vg0825016896 (JBrowse)Variation Type: SNP
Chromosome: chr08Position: 25016896
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.87, A: 0.13, others allele: 0.00, population size: 96. )

Flanking Sequence (100 bp) in Reference Genome:


CGAGGTTGAGCACGGTGAGGCGGGAGAGGCTGCCGATGGAGCGCGGGATCTCGCCGGTGAGGCGGTTGCCGGGGAGCTCGAGGATGCGGAGGTAAGGGAG[G/A]
GCGGTGGCGACGCACGGCGGGATGGGCCCGGAGATCTGCTTCCAGTCGGCGAGGATGAGGGAGGAGAGGCGGCCGAGGCGGCACACCGCGTCGGAGATGT

Reverse complement sequence

ACATCTCCGACGCGGTGTGCCGCCTCGGCCGCCTCTCCTCCCTCATCCTCGCCGACTGGAAGCAGATCTCCGGGCCCATCCCGCCGTGCGTCGCCACCGC[C/T]
CTCCCTTACCTCCGCATCCTCGAGCTCCCCGGCAACCGCCTCACCGGCGAGATCCCGCGCTCCATCGGCAGCCTCTCCCGCCTCACCGTGCTCAACCTCG

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 69.30% 30.40% 0.23% 0.11% NA
All Indica  2759 57.60% 41.90% 0.36% 0.18% NA
All Japonica  1512 99.60% 0.40% 0.00% 0.00% NA
Aus  269 5.90% 94.10% 0.00% 0.00% NA
Indica I  595 65.70% 33.40% 0.17% 0.67% NA
Indica II  465 69.70% 29.90% 0.43% 0.00% NA
Indica III  913 41.70% 58.10% 0.22% 0.00% NA
Indica Intermediate  786 62.60% 36.60% 0.64% 0.13% NA
Temperate Japonica  767 99.50% 0.50% 0.00% 0.00% NA
Tropical Japonica  504 99.80% 0.20% 0.00% 0.00% NA
Japonica Intermediate  241 99.60% 0.40% 0.00% 0.00% NA
VI/Aromatic  96 94.80% 5.20% 0.00% 0.00% NA
Intermediate  90 80.00% 18.90% 1.11% 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
vg0825016896 G -> A LOC_Os08g39550.1 synonymous_variant ; p.Ala141Ala; LOW synonymous_codon Average:86.203; most accessible tissue: Zhenshan97 panicle, score: 94.112 N N N N
vg0825016896 G -> DEL LOC_Os08g39550.1 N frameshift_variant Average:86.203; most accessible tissue: Zhenshan97 panicle, score: 94.112 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)
vg0825016896 G A -0.01 -0.01 -0.01 -0.01 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0825016896 3.78E-18 7.37E-41 mr1874 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
vg0825016896 2.10E-16 2.13E-22 mr1874 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
vg0825016896 NA 3.29E-08 mr1004_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
vg0825016896 NA 1.64E-10 mr1193_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
vg0825016896 6.71E-08 NA mr1699_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
vg0825016896 3.89E-07 1.34E-11 mr1699_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
vg0825016896 1.21E-21 9.52E-59 mr1874_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
vg0825016896 7.17E-21 1.67E-30 mr1874_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