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Detailed information for vg0106285349:

Variant ID: vg0106285349 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 6285349
Reference Allele: CAlternative Allele: T
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.84, T: 0.16, others allele: 0.00, population size: 182. )

Flanking Sequence (100 bp) in Reference Genome:


TGGGCTAAATTGTGGATGCTGGAAAAATCATATGGGCTGAATTGTGCGGGTTAGAAAAATCATATGGGCCAAATTGGAGTGGGCTGAAAATTTGTACAAG[C/T]
TGCACTCATAAACAAACAATCAAAAAATATGCTGGGTCAGCTAGCAACAACCCTAGAAAAAATATATTTGTGGCCCATGAGCTACATGGCTTTAGCATGC

Reverse complement sequence

GCATGCTAAAGCCATGTAGCTCATGGGCCACAAATATATTTTTTCTAGGGTTGTTGCTAGCTGACCCAGCATATTTTTTGATTGTTTGTTTATGAGTGCA[G/A]
CTTGTACAAATTTTCAGCCCACTCCAATTTGGCCCATATGATTTTTCTAACCCGCACAATTCAGCCCATATGATTTTTCCAGCATCCACAATTTAGCCCA

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of C(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 70.70% 29.20% 0.06% 0.00% NA
All Indica  2759 96.20% 3.70% 0.11% 0.00% NA
All Japonica  1512 20.00% 80.00% 0.00% 0.00% NA
Aus  269 98.90% 1.10% 0.00% 0.00% NA
Indica I  595 99.80% 0.20% 0.00% 0.00% NA
Indica II  465 98.90% 1.10% 0.00% 0.00% NA
Indica III  913 95.00% 4.70% 0.33% 0.00% NA
Indica Intermediate  786 93.10% 6.90% 0.00% 0.00% NA
Temperate Japonica  767 3.30% 96.70% 0.00% 0.00% NA
Tropical Japonica  504 47.40% 52.60% 0.00% 0.00% NA
Japonica Intermediate  241 16.20% 83.80% 0.00% 0.00% NA
VI/Aromatic  96 64.60% 35.40% 0.00% 0.00% NA
Intermediate  90 65.60% 34.40% 0.00% 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
vg0106285349 C -> T LOC_Os01g11660.1 upstream_gene_variant ; 3016.0bp to feature; MODIFIER silent_mutation Average:88.486; most accessible tissue: Minghui63 young leaf, score: 96.718 N N N N
vg0106285349 C -> T LOC_Os01g11650.1 downstream_gene_variant ; 1697.0bp to feature; MODIFIER silent_mutation Average:88.486; most accessible tissue: Minghui63 young leaf, score: 96.718 N N N N
vg0106285349 C -> T LOC_Os01g11650.2 downstream_gene_variant ; 3607.0bp to feature; MODIFIER silent_mutation Average:88.486; most accessible tissue: Minghui63 young leaf, score: 96.718 N N N N
vg0106285349 C -> T LOC_Os01g11650-LOC_Os01g11660 intergenic_region ; MODIFIER silent_mutation Average:88.486; most accessible tissue: Minghui63 young leaf, score: 96.718 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)
vg0106285349 C T -0.13 -0.08 -0.06 -0.08 -0.07 -0.11

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0106285349 5.65E-06 NA Grain_width All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0106285349 NA 1.90E-09 mr1368 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
vg0106285349 NA 4.69E-06 mr1368 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
vg0106285349 NA 2.80E-36 mr1784 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
vg0106285349 NA 1.66E-07 mr1785 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
vg0106285349 NA 2.12E-07 mr1248_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
vg0106285349 NA 9.14E-09 mr1746_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
vg0106285349 NA 2.49E-41 mr1771_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
vg0106285349 NA 5.34E-44 mr1784_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
vg0106285349 NA 1.56E-06 mr1785_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
vg0106285349 NA 1.13E-14 mr1790_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
vg0106285349 NA 1.05E-13 mr1800_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
vg0106285349 NA 5.20E-08 mr1805_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