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Detailed information for vg0105612155:

Variant ID: vg0105612155 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 5612155
Reference Allele: TAlternative Allele: C
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 1.01, others allele: 0.00, population size: 236. )

Flanking Sequence (100 bp) in Reference Genome:


GATCTCATATACTATATTCGTATTACATCAAGATATATCGATCATTCGTGGACGACGTCATTTTATATTATATATATAAAAGCCAGATAGTTGCCTATAG[T/C]
CAGACGAATTGAAGGGGGTAAAAGATCAACATGAGCTGTGCCTATCTATCATTTCTGGAGGTTGCAGCTTGCAGCCCGGGAAGAGTACACGTATGGATAT

Reverse complement sequence

ATATCCATACGTGTACTCTTCCCGGGCTGCAAGCTGCAACCTCCAGAAATGATAGATAGGCACAGCTCATGTTGATCTTTTACCCCCTTCAATTCGTCTG[A/G]
CTATAGGCAACTATCTGGCTTTTATATATATAATATAAAATGACGTCGTCCACGAATGATCGATATATCTTGATGTAATACGAATATAGTATATGAGATC

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 51.90% 48.10% 0.04% 0.00% NA
All Indica  2759 75.70% 24.20% 0.07% 0.00% NA
All Japonica  1512 4.10% 95.90% 0.00% 0.00% NA
Aus  269 94.40% 5.60% 0.00% 0.00% NA
Indica I  595 49.40% 50.60% 0.00% 0.00% NA
Indica II  465 73.80% 26.20% 0.00% 0.00% NA
Indica III  913 96.10% 3.90% 0.00% 0.00% NA
Indica Intermediate  786 73.00% 26.70% 0.25% 0.00% NA
Temperate Japonica  767 1.20% 98.80% 0.00% 0.00% NA
Tropical Japonica  504 4.00% 96.00% 0.00% 0.00% NA
Japonica Intermediate  241 13.70% 86.30% 0.00% 0.00% NA
VI/Aromatic  96 8.30% 91.70% 0.00% 0.00% NA
Intermediate  90 45.60% 54.40% 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
vg0105612155 T -> C LOC_Os01g10560.1 downstream_gene_variant ; 4205.0bp to feature; MODIFIER silent_mutation Average:58.436; most accessible tissue: Zhenshan97 root, score: 97.467 N N N N
vg0105612155 T -> C LOC_Os01g10550-LOC_Os01g10560 intergenic_region ; MODIFIER silent_mutation Average:58.436; most accessible tissue: Zhenshan97 root, score: 97.467 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)
vg0105612155 T C 0.03 0.38 0.3 0.03 0.17 0.12

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0105612155 NA 5.02E-06 mr1066 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
vg0105612155 1.13E-09 1.52E-14 mr1498 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
vg0105612155 6.73E-11 5.63E-18 mr1498 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
vg0105612155 1.52E-08 NA mr1769 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
vg0105612155 5.43E-09 4.04E-13 mr1769 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
vg0105612155 NA 8.27E-07 mr1795 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
vg0105612155 NA 3.48E-14 mr1909 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
vg0105612155 5.48E-06 NA mr1925 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
vg0105612155 1.35E-06 6.59E-13 mr1925 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
vg0105612155 3.23E-08 5.92E-11 mr1951 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
vg0105612155 4.62E-09 1.78E-13 mr1951 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
vg0105612155 NA 2.28E-06 mr1310_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
vg0105612155 2.46E-08 NA mr1498_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
vg0105612155 6.69E-08 6.69E-15 mr1498_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
vg0105612155 2.98E-07 NA mr1769_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
vg0105612155 5.39E-08 1.00E-13 mr1769_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
vg0105612155 NA 7.29E-06 mr1795_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
vg0105612155 3.10E-06 NA mr1925_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
vg0105612155 8.16E-06 1.16E-11 mr1925_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
vg0105612155 NA 5.52E-10 mr1951_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
vg0105612155 8.14E-06 6.76E-12 mr1951_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
vg0105612155 NA 2.51E-06 mr1959_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