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Detailed information for vg0808955877:

Variant ID: vg0808955877 (JBrowse)Variation Type: SNP
Chromosome: chr08Position: 8955877
Reference Allele: TAlternative Allele: C
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 1.01, others allele: 0.00, population size: 109. )

Flanking Sequence (100 bp) in Reference Genome:


CGCCGCCGACGTCCCCTCGGGCGGATCTGCTGGTGTTGTTGATTAGCTTCTGGAAGGTTCTCAAAGATGTTGTCCTGCCTGTCGGCATGGCTGGTGAACC[T/C]
GCGACGCAACCCGCTGGCCCGTCTCCACATGAACGTCGTCGCCTCCCACCTCCACAAATACGGTTAGCTGCCTCCCTTCGAATTCCGCCGCTAGGGTTAG

Reverse complement sequence

CTAACCCTAGCGGCGGAATTCGAAGGGAGGCAGCTAACCGTATTTGTGGAGGTGGGAGGCGACGACGTTCATGTGGAGACGGGCCAGCGGGTTGCGTCGC[A/G]
GGTTCACCAGCCATGCCGACAGGCAGGACAACATCTTTGAGAACCTTCCAGAAGCTAATCAACAACACCAGCAGATCCGCCCGAGGGGACGTCGGCGGCG

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 61.80% 35.30% 0.06% 2.84% NA
All Indica  2759 90.60% 6.70% 0.00% 2.72% NA
All Japonica  1512 6.00% 93.80% 0.07% 0.13% NA
Aus  269 97.80% 2.20% 0.00% 0.00% NA
Indica I  595 77.30% 22.70% 0.00% 0.00% NA
Indica II  465 99.60% 0.40% 0.00% 0.00% NA
Indica III  913 92.90% 1.00% 0.00% 6.13% NA
Indica Intermediate  786 92.70% 4.80% 0.00% 2.42% NA
Temperate Japonica  767 3.00% 97.00% 0.00% 0.00% NA
Tropical Japonica  504 11.70% 88.30% 0.00% 0.00% NA
Japonica Intermediate  241 3.30% 95.40% 0.41% 0.83% NA
VI/Aromatic  96 25.00% 19.80% 2.08% 53.12% NA
Intermediate  90 51.10% 42.20% 0.00% 6.67% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0808955877 T -> C LOC_Os08g14860.1 missense_variant ; p.Leu12Pro; MODERATE nonsynonymous_codon ; L12P Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 possibly damaging -1.728 TOLERATED 1.00
vg0808955877 T -> C LOC_Os08g14860.5 missense_variant ; p.Leu12Pro; MODERATE nonsynonymous_codon ; L12P Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 possibly damaging -1.728 TOLERATED 1.00
vg0808955877 T -> C LOC_Os08g14860.2 missense_variant ; p.Leu12Pro; MODERATE nonsynonymous_codon ; L12P Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 possibly damaging -1.728 TOLERATED 1.00
vg0808955877 T -> C LOC_Os08g14860.3 missense_variant ; p.Leu12Pro; MODERATE nonsynonymous_codon ; L12P Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 possibly damaging -1.728 TOLERATED 1.00
vg0808955877 T -> C LOC_Os08g14860.4 missense_variant ; p.Leu12Pro; MODERATE nonsynonymous_codon ; L12P Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 possibly damaging -1.728 TOLERATED 1.00
vg0808955877 T -> DEL LOC_Os08g14860.2 N frameshift_variant Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 N N N N
vg0808955877 T -> DEL LOC_Os08g14860.5 N frameshift_variant Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 N N N N
vg0808955877 T -> DEL LOC_Os08g14860.3 N frameshift_variant Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 N N N N
vg0808955877 T -> DEL LOC_Os08g14860.4 N frameshift_variant Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 N N N N
vg0808955877 T -> DEL LOC_Os08g14860.1 N frameshift_variant Average:81.995; most accessible tissue: Zhenshan97 flower, score: 96.057 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)
vg0808955877 T C 0.02 0.03 0.03 0.01 0.02 0.03

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0808955877 5.74E-06 9.56E-06 mr1134 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
vg0808955877 NA 8.17E-10 mr1198 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
vg0808955877 NA 1.17E-07 mr1201 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
vg0808955877 NA 1.01E-07 mr1219 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
vg0808955877 NA 2.07E-07 mr1274 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
vg0808955877 2.30E-06 1.63E-06 mr1504 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
vg0808955877 NA 4.15E-12 mr1636 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
vg0808955877 NA 2.48E-10 mr1683 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
vg0808955877 NA 8.19E-19 mr1767 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
vg0808955877 NA 6.38E-20 mr1383_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
vg0808955877 NA 7.52E-16 mr1715_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