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Detailed information for vg0919907455:

Variant ID: vg0919907455 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 19907455
Reference Allele: AAlternative Allele: G
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.96, G: 0.04, others allele: 0.00, population size: 115. )

Flanking Sequence (100 bp) in Reference Genome:


CGTGTCATTGAGATACGGGTGACATATCTCAAATTTTGTAAATATAGGGTGGTATGTTTCCAACAAACCCTTATTTCTATATGACGTTGGTTAATTCATC[A/G]
TATTAAAAACAAAAGGAAGTACTAGTACTCCCTCCGTATTTTAATGTAGGCAAATTTTGCTACAAGACACTATGATTTCGTGGTTTTAGCCGTAAGACAT

Reverse complement sequence

ATGTCTTACGGCTAAAACCACGAAATCATAGTGTCTTGTAGCAAAATTTGCCTACATTAAAATACGGAGGGAGTACTAGTACTTCCTTTTGTTTTTAATA[T/C]
GATGAATTAACCAACGTCATATAGAAATAAGGGTTTGTTGGAAACATACCACCCTATATTTACAAAATTTGAGATATGTCACCCGTATCTCAATGACACG

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 50.40% 49.40% 0.13% 0.00% NA
All Indica  2759 84.50% 15.30% 0.22% 0.00% NA
All Japonica  1512 0.30% 99.70% 0.00% 0.00% NA
Aus  269 10.80% 89.20% 0.00% 0.00% NA
Indica I  595 86.60% 13.40% 0.00% 0.00% NA
Indica II  465 85.80% 13.80% 0.43% 0.00% NA
Indica III  913 88.60% 11.30% 0.11% 0.00% NA
Indica Intermediate  786 77.50% 22.10% 0.38% 0.00% NA
Temperate Japonica  767 0.40% 99.60% 0.00% 0.00% NA
Tropical Japonica  504 0.00% 100.00% 0.00% 0.00% NA
Japonica Intermediate  241 0.80% 99.20% 0.00% 0.00% NA
VI/Aromatic  96 1.00% 99.00% 0.00% 0.00% NA
Intermediate  90 18.90% 81.10% 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
vg0919907455 A -> G LOC_Os09g33690.1 upstream_gene_variant ; 2903.0bp to feature; MODIFIER silent_mutation Average:76.151; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0919907455 A -> G LOC_Os09g33690.3 upstream_gene_variant ; 2981.0bp to feature; MODIFIER silent_mutation Average:76.151; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0919907455 A -> G LOC_Os09g33690.2 upstream_gene_variant ; 2903.0bp to feature; MODIFIER silent_mutation Average:76.151; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0919907455 A -> G LOC_Os09g33690.4 upstream_gene_variant ; 2903.0bp to feature; MODIFIER silent_mutation Average:76.151; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0919907455 A -> G LOC_Os09g33700.1 downstream_gene_variant ; 346.0bp to feature; MODIFIER silent_mutation Average:76.151; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0919907455 A -> G LOC_Os09g33710.1 downstream_gene_variant ; 1187.0bp to feature; MODIFIER silent_mutation Average:76.151; most accessible tissue: Minghui63 panicle, score: 91.586 N N N N
vg0919907455 A -> G LOC_Os09g33690-LOC_Os09g33700 intergenic_region ; MODIFIER silent_mutation Average:76.151; most accessible tissue: Minghui63 panicle, score: 91.586 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)
vg0919907455 A G 0.0 -0.01 -0.01 0.0 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0919907455 NA 4.40E-06 mr1029 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
vg0919907455 NA 7.61E-14 mr1032 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
vg0919907455 NA 1.80E-09 mr1047 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
vg0919907455 NA 1.86E-09 mr1151 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
vg0919907455 NA 2.10E-15 mr1165 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
vg0919907455 NA 5.78E-11 mr1172 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
vg0919907455 NA 7.39E-06 mr1189 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
vg0919907455 3.32E-24 2.54E-19 mr1216 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
vg0919907455 2.35E-20 1.09E-30 mr1216 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
vg0919907455 NA 3.98E-11 mr1325 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
vg0919907455 NA 9.57E-13 mr1326 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
vg0919907455 NA 9.11E-14 mr1478 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
vg0919907455 NA 1.72E-06 mr1532 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
vg0919907455 NA 4.00E-12 mr1744 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
vg0919907455 NA 7.66E-32 mr1793 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
vg0919907455 NA 3.15E-08 mr1796 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
vg0919907455 NA 1.27E-07 mr1990 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
vg0919907455 NA 1.55E-06 mr1158_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
vg0919907455 NA 1.13E-07 mr1246_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
vg0919907455 NA 1.82E-07 mr1527_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
vg0919907455 6.86E-11 1.33E-59 mr1793_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
vg0919907455 1.75E-10 1.07E-14 mr1793_2 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
vg0919907455 NA 9.67E-06 mr1952_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