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Detailed information for vg0309319838:

Variant ID: vg0309319838 (JBrowse)Variation Type: SNP
Chromosome: chr03Position: 9319838
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 1.00, others allele: 0.00, population size: 272. )

Flanking Sequence (100 bp) in Reference Genome:


TTTGTCCTCCAAGTGAATGTACCTCTATTTTGGCTGTTGATCACTTGTACGGTCATCAAACTTCACGTCTTATTCTGCCAAATCCTTGAACAGGTCCATG[C/T]
AACATTGATTTGAGTTGGTGTTAGAACTAGTTGAGGGAGGGAGCCCGGCCAGTAATATGCATAGGTATGGGGGATTAGGGCCGGTCCTATGATTTTGAGG

Reverse complement sequence

CCTCAAAATCATAGGACCGGCCCTAATCCCCCATACCTATGCATATTACTGGCCGGGCTCCCTCCCTCAACTAGTTCTAACACCAACTCAAATCAATGTT[G/A]
CATGGACCTGTTCAAGGATTTGGCAGAATAAGACGTGAAGTTTGATGACCGTACAAGTGATCAACAGCCAAAATAGAGGTACATTCACTTGGAGGACAAA

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 93.00% 6.90% 0.08% 0.00% NA
All Indica  2759 99.80% 0.20% 0.00% 0.00% NA
All Japonica  1512 79.00% 20.80% 0.26% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 100.00% 0.00% 0.00% 0.00% NA
Indica II  465 100.00% 0.00% 0.00% 0.00% NA
Indica III  913 99.80% 0.20% 0.00% 0.00% NA
Indica Intermediate  786 99.60% 0.40% 0.00% 0.00% NA
Temperate Japonica  767 99.20% 0.80% 0.00% 0.00% NA
Tropical Japonica  504 48.60% 50.60% 0.79% 0.00% NA
Japonica Intermediate  241 78.00% 22.00% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 93.30% 6.70% 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
vg0309319838 C -> T LOC_Os03g16800.1 upstream_gene_variant ; 3126.0bp to feature; MODIFIER silent_mutation Average:79.064; most accessible tissue: Zhenshan97 flower, score: 90.586 N N N N
vg0309319838 C -> T LOC_Os03g16800.2 upstream_gene_variant ; 3450.0bp to feature; MODIFIER silent_mutation Average:79.064; most accessible tissue: Zhenshan97 flower, score: 90.586 N N N N
vg0309319838 C -> T LOC_Os03g16800-LOC_Os03g16812 intergenic_region ; MODIFIER silent_mutation Average:79.064; most accessible tissue: Zhenshan97 flower, score: 90.586 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)
vg0309319838 C T 0.0 0.01 0.02 0.01 0.03 0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0309319838 6.13E-07 NA mr1082 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
vg0309319838 NA 1.04E-08 mr1082 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
vg0309319838 NA 1.87E-06 mr1083 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
vg0309319838 NA 6.05E-06 mr1226 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
vg0309319838 2.18E-06 NA mr1301 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
vg0309319838 NA 3.02E-08 mr1408 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
vg0309319838 3.10E-06 NA mr1411 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
vg0309319838 8.14E-08 NA mr1082_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
vg0309319838 NA 3.15E-08 mr1082_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
vg0309319838 2.77E-10 NA mr1083_2 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
vg0309319838 6.00E-07 8.62E-09 mr1083_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
vg0309319838 7.48E-06 NA mr1085_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
vg0309319838 2.96E-07 NA mr1103_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
vg0309319838 3.26E-11 NA mr1104_2 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
vg0309319838 5.86E-06 NA mr1104_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
vg0309319838 4.19E-10 NA mr1107_2 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
vg0309319838 NA 2.68E-06 mr1107_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
vg0309319838 7.49E-07 NA mr1145_2 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
vg0309319838 4.70E-09 NA mr1226_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
vg0309319838 NA 2.19E-07 mr1226_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
vg0309319838 1.57E-07 6.85E-11 mr1408_2 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
vg0309319838 3.38E-06 4.63E-08 mr1408_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