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Detailed information for vg1016500010:

Variant ID: vg1016500010 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 16500010
Reference Allele: TAlternative Allele: C
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 1.00, others allele: 0.00, population size: 61. )

Flanking Sequence (100 bp) in Reference Genome:


ATAGAACGGGTCTCTCAATTAACAAAATCGGATCATCTGATGTCCTAGGCAATATTATGTCTGGTTTTAACTGATGTGGTAAGCTGATTCTTCACACATG[T/C]
AAGTACTGGCCACTTACATGTGGGGTACGCCTGGGTCCCACGCTGACTCAGCTCGTCACGTTAGCTCAAATCAGACATAAAATTGTCTAGGATCTCGGGT

Reverse complement sequence

ACCCGAGATCCTAGACAATTTTATGTCTGATTTGAGCTAACGTGACGAGCTGAGTCAGCGTGGGACCCAGGCGTACCCCACATGTAAGTGGCCAGTACTT[A/G]
CATGTGTGAAGAATCAGCTTACCACATCAGTTAAAACCAGACATAATATTGCCTAGGACATCAGATGATCCGATTTTGTTAATTGAGAGACCCGTTCTAT

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 46.30% 45.70% 2.77% 5.29% NA
All Indica  2759 37.80% 54.30% 3.04% 4.89% NA
All Japonica  1512 52.10% 37.90% 2.78% 7.28% NA
Aus  269 94.10% 4.80% 0.37% 0.74% NA
Indica I  595 52.90% 40.70% 4.87% 1.51% NA
Indica II  465 30.50% 62.60% 1.72% 5.16% NA
Indica III  913 34.50% 56.70% 1.64% 7.12% NA
Indica Intermediate  786 34.40% 56.90% 4.07% 4.71% NA
Temperate Japonica  767 82.10% 16.80% 0.52% 0.52% NA
Tropical Japonica  504 8.70% 66.10% 6.55% 18.65% NA
Japonica Intermediate  241 46.90% 46.10% 2.07% 4.98% NA
VI/Aromatic  96 67.70% 32.30% 0.00% 0.00% NA
Intermediate  90 44.40% 47.80% 4.44% 3.33% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1016500010 T -> C LOC_Os10g31460.1 upstream_gene_variant ; 4772.0bp to feature; MODIFIER silent_mutation Average:82.067; most accessible tissue: Callus, score: 97.157 N N N N
vg1016500010 T -> C LOC_Os10g31490.1 upstream_gene_variant ; 1532.0bp to feature; MODIFIER silent_mutation Average:82.067; most accessible tissue: Callus, score: 97.157 N N N N
vg1016500010 T -> C LOC_Os10g31500.1 downstream_gene_variant ; 650.0bp to feature; MODIFIER silent_mutation Average:82.067; most accessible tissue: Callus, score: 97.157 N N N N
vg1016500010 T -> C LOC_Os10g31490-LOC_Os10g31500 intergenic_region ; MODIFIER silent_mutation Average:82.067; most accessible tissue: Callus, score: 97.157 N N N N
vg1016500010 T -> DEL N N silent_mutation Average:82.067; most accessible tissue: Callus, score: 97.157 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)
vg1016500010 T C -0.01 0.0 0.01 -0.02 0.0 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1016500010 NA 1.46E-14 Grain_length 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
vg1016500010 NA 1.21E-09 mr1157 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
vg1016500010 NA 6.47E-06 mr1157 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
vg1016500010 NA 6.88E-07 mr1229 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
vg1016500010 NA 1.61E-09 mr1328 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
vg1016500010 NA 3.05E-06 mr1328 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
vg1016500010 NA 7.70E-08 mr1378 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
vg1016500010 NA 3.51E-11 mr1446 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
vg1016500010 NA 8.77E-06 mr1446 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
vg1016500010 NA 6.82E-06 mr1568 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
vg1016500010 NA 5.00E-07 mr1621 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
vg1016500010 NA 2.66E-07 mr1871 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
vg1016500010 NA 5.58E-06 mr1937 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
vg1016500010 NA 7.85E-08 mr1989 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