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Detailed information for vg0326598102:

Variant ID: vg0326598102 (JBrowse)Variation Type: SNP
Chromosome: chr03Position: 26598102
Reference Allele: GAlternative Allele: T
Primary Allele: GSecondary Allele: T

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.95, G: 0.05, others allele: 0.00, population size: 268. )

Flanking Sequence (100 bp) in Reference Genome:


AATTCGAACCCTGAGACGATCGACCGACCTAGTTGGAGCAAGCTAGCTAGGTTTAGCACGTACGGTGGCAACACCAAATCCGGATTTCGTAAGGAGAGGC[G/T]
AAAGTTTCAGTTTCTCATTAGGTCATCCAAGAGATAAGGTTTGTTGGAGCCCAAGGATTGTCTGTGAAACACGACCATACATCATGCATATAGGCAAAAG

Reverse complement sequence

CTTTTGCCTATATGCATGATGTATGGTCGTGTTTCACAGACAATCCTTGGGCTCCAACAAACCTTATCTCTTGGATGACCTAATGAGAAACTGAAACTTT[C/A]
GCCTCTCCTTACGAAATCCGGATTTGGTGTTGCCACCGTACGTGCTAAACCTAGCTAGCTTGCTCCAACTAGGTCGGTCGATCGTCTCAGGGTTCGAATT

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 64.70% 35.30% 0.02% 0.00% NA
All Indica  2759 44.80% 55.20% 0.04% 0.00% NA
All Japonica  1512 99.30% 0.70% 0.00% 0.00% NA
Aus  269 59.90% 40.10% 0.00% 0.00% NA
Indica I  595 93.60% 6.40% 0.00% 0.00% NA
Indica II  465 10.80% 89.20% 0.00% 0.00% NA
Indica III  913 31.10% 68.90% 0.00% 0.00% NA
Indica Intermediate  786 43.80% 56.10% 0.13% 0.00% NA
Temperate Japonica  767 99.30% 0.70% 0.00% 0.00% NA
Tropical Japonica  504 99.20% 0.80% 0.00% 0.00% NA
Japonica Intermediate  241 99.20% 0.80% 0.00% 0.00% NA
VI/Aromatic  96 96.90% 3.10% 0.00% 0.00% NA
Intermediate  90 76.70% 23.30% 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
vg0326598102 G -> T LOC_Os03g47034.1 upstream_gene_variant ; 4073.0bp to feature; MODIFIER silent_mutation Average:85.977; most accessible tissue: Minghui63 flower, score: 97.392 N N N N
vg0326598102 G -> T LOC_Os03g47030-LOC_Os03g47034 intergenic_region ; MODIFIER silent_mutation Average:85.977; most accessible tissue: Minghui63 flower, score: 97.392 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)
vg0326598102 G T -0.03 0.03 0.03 0.04 0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0326598102 NA 7.07E-19 Grain_length 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
vg0326598102 NA 3.77E-26 Grain_length Ind_All YES 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
vg0326598102 NA 5.61E-12 Grain_width 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
vg0326598102 NA 4.13E-06 mr1130 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
vg0326598102 NA 8.89E-06 mr1188 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
vg0326598102 NA 1.21E-06 mr1201 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
vg0326598102 NA 2.05E-09 mr1565 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
vg0326598102 NA 2.04E-06 mr1629 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
vg0326598102 NA 7.72E-07 mr1942 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
vg0326598102 NA 7.54E-06 mr1041_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
vg0326598102 NA 1.89E-07 mr1184_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
vg0326598102 NA 5.27E-11 mr1188_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
vg0326598102 NA 8.27E-08 mr1188_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
vg0326598102 NA 3.18E-06 mr1278_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
vg0326598102 NA 1.79E-06 mr1293_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
vg0326598102 NA 4.00E-06 mr1492_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
vg0326598102 NA 2.60E-07 mr1497_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
vg0326598102 NA 1.19E-07 mr1508_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
vg0326598102 NA 4.88E-07 mr1604_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
vg0326598102 NA 1.15E-06 mr1779_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
vg0326598102 NA 1.42E-08 mr1861_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
vg0326598102 NA 9.12E-07 mr1931_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
vg0326598102 NA 5.56E-06 mr1942_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
vg0326598102 NA 1.01E-08 mr1962_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
vg0326598102 NA 2.59E-06 mr1992_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