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Detailed information for vg0330599887:

Variant ID: vg0330599887 (JBrowse)Variation Type: SNP
Chromosome: chr03Position: 30599887
Reference Allele: AAlternative Allele: G
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.52, A: 0.48, others allele: 0.00, population size: 103. )

Flanking Sequence (100 bp) in Reference Genome:


CGTCTCTCGTCTTTACGTTGAGTTTAATTCACACCCCTAAAACCGCAAGGGACCACCTATACATTTGTCAGACAAATTTTCTCCTAAAAATTTGACAGAT[A/G]
TAATTATAATACAATCATAGTGTAATTACACTATAACTTGCATGTAATTACACTGTAACTTGCATGTACTACAGTGTAACTTGTATGTAAGTTTCACGCA

Reverse complement sequence

TGCGTGAAACTTACATACAAGTTACACTGTAGTACATGCAAGTTACAGTGTAATTACATGCAAGTTATAGTGTAATTACACTATGATTGTATTATAATTA[T/C]
ATCTGTCAAATTTTTAGGAGAAAATTTGTCTGACAAATGTATAGGTGGTCCCTTGCGGTTTTAGGGGTGTGAATTAAACTCAACGTAAAGACGAGAGACG

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 68.90% 31.00% 0.13% 0.00% NA
All Indica  2759 58.20% 41.60% 0.22% 0.00% NA
All Japonica  1512 99.50% 0.50% 0.00% 0.00% NA
Aus  269 0.40% 99.60% 0.00% 0.00% NA
Indica I  595 95.80% 4.00% 0.17% 0.00% NA
Indica II  465 62.60% 37.00% 0.43% 0.00% NA
Indica III  913 24.20% 75.80% 0.00% 0.00% NA
Indica Intermediate  786 66.70% 33.00% 0.38% 0.00% NA
Temperate Japonica  767 99.70% 0.30% 0.00% 0.00% NA
Tropical Japonica  504 99.40% 0.60% 0.00% 0.00% NA
Japonica Intermediate  241 99.20% 0.80% 0.00% 0.00% NA
VI/Aromatic  96 89.60% 10.40% 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
vg0330599887 A -> G LOC_Os03g53310.1 upstream_gene_variant ; 336.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53300.1 downstream_gene_variant ; 3828.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53320.1 downstream_gene_variant ; 2998.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53340.1 downstream_gene_variant ; 4180.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53300.2 downstream_gene_variant ; 3828.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53340.6 downstream_gene_variant ; 4077.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53340.2 downstream_gene_variant ; 4180.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53340.5 downstream_gene_variant ; 4180.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53340.3 downstream_gene_variant ; 4180.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53340.4 downstream_gene_variant ; 4180.0bp to feature; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 N N N N
vg0330599887 A -> G LOC_Os03g53310-LOC_Os03g53320 intergenic_region ; MODIFIER silent_mutation Average:94.859; most accessible tissue: Minghui63 flag leaf, score: 96.451 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)
vg0330599887 A G 0.0 -0.02 -0.03 0.0 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0330599887 NA 1.65E-07 mr1028 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
vg0330599887 NA 3.52E-06 mr1343 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
vg0330599887 NA 7.04E-08 mr1453 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
vg0330599887 NA 1.96E-10 mr1829 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
vg0330599887 NA 5.98E-11 mr1842 Ind_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
vg0330599887 NA 1.54E-11 mr1846 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
vg0330599887 NA 3.10E-07 mr1902 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
vg0330599887 4.41E-06 1.96E-13 mr1829_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
vg0330599887 1.20E-06 1.94E-14 mr1842_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
vg0330599887 NA 5.62E-20 mr1846_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
vg0330599887 NA 4.62E-12 mr1902_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
vg0330599887 NA 6.73E-09 mr1933_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