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Detailed information for vg0113570321:

Variant ID: vg0113570321 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 13570321
Reference Allele: AAlternative Allele: G
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.99, A: 0.01, others allele: 0.00, population size: 70. )

Flanking Sequence (100 bp) in Reference Genome:


TTTAGGACGGATCCAGAATTAGGCCCTATTACGCTTCCTTCTCTCCCTTTTCTTTCGTCTCCCCTCTCCCCTGTTCTCATGTTCTCACTGGTAATTCAGC[A/G]
GAGTAGGGGGACTTGACTTCCTCCAGCAACCACTGCGTCCGTCTCTATATGTATTGTGTTTAAAAAGTTAAATTTAACATGTCACGTTAAATTTAAGAAA

Reverse complement sequence

TTTCTTAAATTTAACGTGACATGTTAAATTTAACTTTTTAAACACAATACATATAGAGACGGACGCAGTGGTTGCTGGAGGAAGTCAAGTCCCCCTACTC[T/C]
GCTGAATTACCAGTGAGAACATGAGAACAGGGGAGAGGGGAGACGAAAGAAAAGGGAGAGAAGGAAGCGTAATAGGGCCTAATTCTGGATCCGTCCTAAA

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 66.80% 10.50% 5.27% 17.41% NA
All Indica  2759 76.20% 0.50% 0.36% 22.94% NA
All Japonica  1512 44.20% 28.80% 15.54% 11.44% NA
Aus  269 99.30% 0.40% 0.37% 0.00% NA
Indica I  595 99.20% 0.00% 0.34% 0.50% NA
Indica II  465 42.20% 1.30% 0.65% 55.91% NA
Indica III  913 76.20% 0.30% 0.11% 23.33% NA
Indica Intermediate  786 78.90% 0.60% 0.51% 19.97% NA
Temperate Japonica  767 28.80% 46.50% 23.60% 1.04% NA
Tropical Japonica  504 59.50% 6.50% 3.77% 30.16% NA
Japonica Intermediate  241 61.00% 19.10% 14.52% 5.39% NA
VI/Aromatic  96 75.00% 24.00% 0.00% 1.04% NA
Intermediate  90 55.60% 23.30% 3.33% 17.78% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0113570321 A -> G LOC_Os01g24070.1 upstream_gene_variant ; 286.0bp to feature; MODIFIER silent_mutation Average:81.806; most accessible tissue: Zhenshan97 root, score: 93.965 N N N N
vg0113570321 A -> G LOC_Os01g24070.2 upstream_gene_variant ; 339.0bp to feature; MODIFIER silent_mutation Average:81.806; most accessible tissue: Zhenshan97 root, score: 93.965 N N N N
vg0113570321 A -> G LOC_Os01g24060.1 downstream_gene_variant ; 3448.0bp to feature; MODIFIER silent_mutation Average:81.806; most accessible tissue: Zhenshan97 root, score: 93.965 N N N N
vg0113570321 A -> G LOC_Os01g24060.2 downstream_gene_variant ; 3448.0bp to feature; MODIFIER silent_mutation Average:81.806; most accessible tissue: Zhenshan97 root, score: 93.965 N N N N
vg0113570321 A -> G LOC_Os01g24060-LOC_Os01g24070 intergenic_region ; MODIFIER silent_mutation Average:81.806; most accessible tissue: Zhenshan97 root, score: 93.965 N N N N
vg0113570321 A -> DEL N N silent_mutation Average:81.806; most accessible tissue: Zhenshan97 root, score: 93.965 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)
vg0113570321 A G -0.05 -0.02 -0.02 -0.04 -0.05 -0.05

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0113570321 NA 1.68E-11 Heading_date 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
vg0113570321 NA 2.72E-11 Plant_height Jap_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
vg0113570321 NA 2.26E-15 Spikelet_length 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
vg0113570321 NA 1.66E-09 mr1002 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
vg0113570321 NA 5.20E-09 mr1002 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
vg0113570321 NA 1.51E-06 mr1013 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
vg0113570321 NA 1.61E-13 mr1034 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
vg0113570321 NA 2.92E-07 mr1163 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
vg0113570321 NA 1.72E-06 mr1977 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
vg0113570321 8.90E-07 1.24E-15 mr1002_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
vg0113570321 NA 7.43E-13 mr1002_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
vg0113570321 NA 2.60E-07 mr1011_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
vg0113570321 NA 9.17E-07 mr1013_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
vg0113570321 1.64E-06 NA mr1842_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
vg0113570321 1.07E-06 NA mr1842_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