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Detailed information for vg0803502519:

Variant ID: vg0803502519 (JBrowse)Variation Type: SNP
Chromosome: chr08Position: 3502519
Reference Allele: TAlternative Allele: C
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


TAAAATTTTAAGTGGAACTTGATGTTAATGTTGATATACAAACTAAATTTATGTTTATTTTTCTTAATTCCGCTATTGAAACTTAGCATCTGCAATAACG[T/C]
CTGCTATGCACAATCTACTATCCAGACACTAATCCGCTACCAACCCGTTGTACTCTGTTTATTACCTTGGACGTTAGTGATGCCTGTGGGCGTCACTCAC

Reverse complement sequence

GTGAGTGACGCCCACAGGCATCACTAACGTCCAAGGTAATAAACAGAGTACAACGGGTTGGTAGCGGATTAGTGTCTGGATAGTAGATTGTGCATAGCAG[A/G]
CGTTATTGCAGATGCTAAGTTTCAATAGCGGAATTAAGAAAAATAAACATAAATTTAGTTTGTATATCAACATTAACATCAAGTTCCACTTAAAATTTTA

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 89.50% 9.50% 1.06% 0.00% NA
All Indica  2759 99.70% 0.20% 0.11% 0.00% NA
All Japonica  1512 68.10% 28.80% 3.04% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 99.80% 0.20% 0.00% 0.00% NA
Indica II  465 98.90% 0.60% 0.43% 0.00% NA
Indica III  913 100.00% 0.00% 0.00% 0.00% NA
Indica Intermediate  786 99.60% 0.30% 0.13% 0.00% NA
Temperate Japonica  767 46.20% 48.40% 5.48% 0.00% NA
Tropical Japonica  504 94.00% 5.60% 0.40% 0.00% NA
Japonica Intermediate  241 83.80% 15.40% 0.83% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 93.30% 5.60% 1.11% 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
vg0803502519 T -> C LOC_Os08g06320-LOC_Os08g06330 intergenic_region ; MODIFIER silent_mutation Average:56.457; most accessible tissue: Minghui63 root, score: 86.877 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)
vg0803502519 T C 0.04 0.01 0.01 0.03 0.03 0.03

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0803502519 NA 2.42E-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
vg0803502519 NA 7.48E-08 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
vg0803502519 NA 2.41E-06 mr1069 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
vg0803502519 1.41E-07 NA mr1137 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
vg0803502519 NA 8.89E-10 mr1137 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
vg0803502519 NA 8.22E-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
vg0803502519 NA 5.68E-13 mr1182 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
vg0803502519 NA 4.52E-07 mr1182 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
vg0803502519 NA 1.04E-06 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
vg0803502519 NA 3.60E-07 mr1229 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
vg0803502519 NA 2.08E-11 mr1282 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
vg0803502519 NA 2.65E-06 mr1282 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
vg0803502519 NA 5.62E-07 mr1617 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
vg0803502519 NA 8.46E-13 mr1650 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
vg0803502519 NA 1.47E-06 mr1650 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
vg0803502519 NA 9.59E-11 mr1658 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
vg0803502519 NA 5.27E-06 mr1658 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
vg0803502519 NA 4.20E-08 mr1880 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
vg0803502519 NA 1.96E-09 mr1880 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
vg0803502519 NA 5.70E-13 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
vg0803502519 NA 1.84E-09 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
vg0803502519 NA 2.77E-08 mr1010_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
vg0803502519 5.89E-06 NA mr1137_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
vg0803502519 NA 6.71E-09 mr1137_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
vg0803502519 NA 1.30E-12 mr1182_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
vg0803502519 NA 1.77E-06 mr1182_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
vg0803502519 NA 4.11E-11 mr1282_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
vg0803502519 NA 3.60E-06 mr1282_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