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Detailed information for vg0908709564:

Variant ID: vg0908709564 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 8709564
Reference Allele: TAlternative Allele: C
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.98, C: 0.02, others allele: 0.00, population size: 250. )

Flanking Sequence (100 bp) in Reference Genome:


CGTATCAAGTGATAGGTTACGTGATTGATCAAAGTCAAACGAGGCAGAGGGAGGTTAATATTAATTATTTATTACCCTAATAATGCACCGGCCAAAGTGC[T/C]
TTTGGAGAAATTGCTAACCTGATAAAGTATCAAATTGGTTTATACTACAAGCAAAAAGGAACATTTCAGGTGATAAGGTTAAGATTGCAGATTACAATAA

Reverse complement sequence

TTATTGTAATCTGCAATCTTAACCTTATCACCTGAAATGTTCCTTTTTGCTTGTAGTATAAACCAATTTGATACTTTATCAGGTTAGCAATTTCTCCAAA[A/G]
GCACTTTGGCCGGTGCATTATTAGGGTAATAAATAATTAATATTAACCTCCCTCTGCCTCGTTTGACTTTGATCAATCACGTAACCTATCACTTGATACG

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 69.60% 30.20% 0.23% 0.00% NA
All Indica  2759 49.20% 50.40% 0.40% 0.00% NA
All Japonica  1512 99.50% 0.50% 0.00% 0.00% NA
Aus  269 93.30% 6.70% 0.00% 0.00% NA
Indica I  595 52.60% 46.70% 0.67% 0.00% NA
Indica II  465 83.90% 16.10% 0.00% 0.00% NA
Indica III  913 26.50% 73.30% 0.22% 0.00% NA
Indica Intermediate  786 52.40% 46.90% 0.64% 0.00% NA
Temperate Japonica  767 99.90% 0.10% 0.00% 0.00% NA
Tropical Japonica  504 99.00% 1.00% 0.00% 0.00% NA
Japonica Intermediate  241 99.60% 0.40% 0.00% 0.00% NA
VI/Aromatic  96 99.00% 1.00% 0.00% 0.00% NA
Intermediate  90 90.00% 10.00% 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
vg0908709564 T -> C LOC_Os09g14680.1 downstream_gene_variant ; 585.0bp to feature; MODIFIER silent_mutation Average:85.975; most accessible tissue: Callus, score: 93.563 N N N N
vg0908709564 T -> C LOC_Os09g14670-LOC_Os09g14680 intergenic_region ; MODIFIER silent_mutation Average:85.975; most accessible tissue: Callus, score: 93.563 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)
vg0908709564 T C 0.04 0.01 -0.01 0.02 0.01 0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0908709564 NA 1.99E-18 Plant_height Ind_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
vg0908709564 NA 1.86E-06 mr1115 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
vg0908709564 NA 6.46E-06 mr1232 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
vg0908709564 NA 2.17E-06 mr1611 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
vg0908709564 NA 1.04E-06 mr1627 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
vg0908709564 NA 2.93E-09 mr1648 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
vg0908709564 NA 2.49E-06 mr1648 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
vg0908709564 NA 1.16E-06 mr1063_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
vg0908709564 NA 9.83E-06 mr1277_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
vg0908709564 NA 9.22E-09 mr1327_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
vg0908709564 NA 1.02E-09 mr1352_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
vg0908709564 NA 1.13E-06 mr1358_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
vg0908709564 NA 3.27E-06 mr1360_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
vg0908709564 NA 1.79E-06 mr1378_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
vg0908709564 NA 6.51E-06 mr1428_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
vg0908709564 NA 1.71E-08 mr1478_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
vg0908709564 NA 3.94E-10 mr1627_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
vg0908709564 NA 7.83E-09 mr1654_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
vg0908709564 NA 8.01E-10 mr1654_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
vg0908709564 NA 2.72E-06 mr1754_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
vg0908709564 NA 2.67E-06 mr1836_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
vg0908709564 NA 1.26E-08 mr1860_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
vg0908709564 NA 7.21E-06 mr1971_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