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Please input a variation ID (e.g., vg0722097923 , STR0500036000 ).

Detailed information for vg0804327457:

Variant ID: vg0804327457 (JBrowse)Variation Type: SNP
Chromosome: chr08Position: 4327457
Reference Allele: AAlternative Allele: G
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.51, G: 0.49, others allele: 0.00, population size: 90. )

Flanking Sequence (100 bp) in Reference Genome:


TTTCACAAGAACCAGACCTACAACATAAGCTAAAGAATCATATAGCCTCAAAACAATATAGTACCAAACCAACTAAAAAAAGTCCAAATTTTCCCTCTAA[A/G]
CTATTGCGGTCGTCTGATTTATCATACTCATTTCAAATACTAGATATTTTACACCTTAAACTTTTCAAACCGGACCGATAATTAACCTCCTTAACCTCCC

Reverse complement sequence

GGGAGGTTAAGGAGGTTAATTATCGGTCCGGTTTGAAAAGTTTAAGGTGTAAAATATCTAGTATTTGAAATGAGTATGATAAATCAGACGACCGCAATAG[T/C]
TTAGAGGGAAAATTTGGACTTTTTTTAGTTGGTTTGGTACTATATTGTTTTGAGGCTATATGATTCTTTAGCTTATGTTGTAGGTCTGGTTCTTGTGAAA

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 73.50% 26.30% 0.13% 0.00% NA
All Indica  2759 85.50% 14.30% 0.18% 0.00% NA
All Japonica  1512 45.90% 54.10% 0.00% 0.00% NA
Aus  269 97.80% 2.20% 0.00% 0.00% NA
Indica I  595 94.10% 5.90% 0.00% 0.00% NA
Indica II  465 80.40% 19.10% 0.43% 0.00% NA
Indica III  913 82.80% 17.00% 0.22% 0.00% NA
Indica Intermediate  786 85.20% 14.60% 0.13% 0.00% NA
Temperate Japonica  767 43.80% 56.20% 0.00% 0.00% NA
Tropical Japonica  504 33.10% 66.90% 0.00% 0.00% NA
Japonica Intermediate  241 79.30% 20.70% 0.00% 0.00% NA
VI/Aromatic  96 90.60% 9.40% 0.00% 0.00% NA
Intermediate  90 78.90% 20.00% 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
vg0804327457 A -> G LOC_Os08g07730.1 intron_variant ; MODIFIER silent_mutation Average:85.677; most accessible tissue: Minghui63 flag leaf, score: 96.182 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)
vg0804327457 A G 0.02 0.02 0.02 0.0 0.0 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0804327457 6.88E-06 NA mr1036 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
vg0804327457 6.23E-06 NA mr1083 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
vg0804327457 3.07E-17 5.94E-11 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
vg0804327457 1.24E-13 1.57E-16 mr1174 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
vg0804327457 9.74E-13 1.41E-10 mr1347 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
vg0804327457 1.37E-09 1.37E-09 mr1347 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
vg0804327457 NA 8.58E-07 mr1498 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
vg0804327457 NA 5.72E-07 mr1915 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
vg0804327457 3.44E-12 NA 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
vg0804327457 9.13E-11 2.01E-11 mr1174_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
vg0804327457 7.94E-07 NA 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
vg0804327457 3.06E-07 NA mr1347_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