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Detailed information for vg0916388867:

Variant ID: vg0916388867 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 16388867
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: 295. )

Flanking Sequence (100 bp) in Reference Genome:


GACAATCCCAACCTTGAGGTCAAGCTCAAGAGGGAAGGTGTCAAGGCATTCACTCAGGTGAGTCTTTCTGTCACTGCATTTCTGCCCCCAAAAAATGTTT[T/C]
CAGATCAACTTCAAATATCTACACGCTTCAATAAACTGGAAAATCACATACTAATACTGTAATTAATAGGAACAATCTTGAATGGGTGCAGTCACAAACT

Reverse complement sequence

AGTTTGTGACTGCACCCATTCAAGATTGTTCCTATTAATTACAGTATTAGTATGTGATTTTCCAGTTTATTGAAGCGTGTAGATATTTGAAGTTGATCTG[A/G]
AAACATTTTTTGGGGGCAGAAATGCAGTGACAGAAAGACTCACCTGAGTGAATGCCTTGACACCTTCCCTCTTGAGCTTGACCTCAAGGTTGGGATTGTC

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 89.90% 10.00% 0.04% 0.00% NA
All Indica  2759 83.00% 17.00% 0.07% 0.00% NA
All Japonica  1512 100.00% 0.00% 0.00% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 50.40% 49.40% 0.17% 0.00% NA
Indica II  465 96.60% 3.40% 0.00% 0.00% NA
Indica III  913 98.80% 1.10% 0.11% 0.00% NA
Indica Intermediate  786 81.20% 18.80% 0.00% 0.00% NA
Temperate Japonica  767 100.00% 0.00% 0.00% 0.00% NA
Tropical Japonica  504 100.00% 0.00% 0.00% 0.00% NA
Japonica Intermediate  241 100.00% 0.00% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 94.40% 5.60% 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
vg0916388867 T -> C LOC_Os09g26970.1 upstream_gene_variant ; 4003.0bp to feature; MODIFIER silent_mutation Average:86.914; most accessible tissue: Zhenshan97 young leaf, score: 95.617 N N N N
vg0916388867 T -> C LOC_Os09g26960.1 intron_variant ; MODIFIER silent_mutation Average:86.914; most accessible tissue: Zhenshan97 young leaf, score: 95.617 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)
vg0916388867 T C -0.02 0.01 0.02 0.0 0.01 0.03

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0916388867 NA 3.71E-10 mr1138 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
vg0916388867 NA 4.11E-06 mr1354 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
vg0916388867 NA 3.10E-06 mr1479 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
vg0916388867 NA 8.64E-06 mr1502 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
vg0916388867 NA 3.77E-06 mr1502 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
vg0916388867 2.10E-07 4.68E-18 mr1707 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
vg0916388867 NA 1.36E-10 mr1707 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
vg0916388867 1.90E-07 1.62E-18 mr1728 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
vg0916388867 7.34E-06 9.72E-12 mr1728 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
vg0916388867 NA 1.69E-15 mr1860 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
vg0916388867 NA 3.50E-10 mr1860 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
vg0916388867 3.48E-07 NA mr1138_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
vg0916388867 5.80E-06 2.57E-09 mr1138_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
vg0916388867 NA 6.12E-06 mr1355_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
vg0916388867 NA 8.29E-07 mr1479_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
vg0916388867 NA 5.94E-06 mr1479_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
vg0916388867 NA 7.54E-06 mr1543_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
vg0916388867 NA 6.88E-06 mr1655_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
vg0916388867 5.37E-06 1.13E-12 mr1707_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
vg0916388867 NA 5.95E-07 mr1707_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
vg0916388867 1.02E-08 7.19E-24 mr1728_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
vg0916388867 1.29E-06 7.63E-13 mr1728_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
vg0916388867 5.71E-06 5.32E-18 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
vg0916388867 NA 6.55E-12 mr1860_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
vg0916388867 NA 2.82E-07 mr1895_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
vg0916388867 NA 6.61E-06 mr1895_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
vg0916388867 NA 6.50E-06 mr1899_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