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Detailed information for vg0919713003:

Variant ID: vg0919713003 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 19713003
Reference Allele: TAlternative Allele: G
Primary Allele: TSecondary Allele: G

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 1.00, others allele: 0.00, population size: 331. )

Flanking Sequence (100 bp) in Reference Genome:


GACGATCGATGCAGTAGTAATTACATGTATATATAATCCGGTACGGCGAGATCAGAGATCAACTGTGAGCAGGGTAAAAACGAACGAATTATTACTATCA[T/G]
CTCATGAAGAGGAGGTTGGCGAGGAGACAACCAATCAAGGAAGAAGAAGGGTACGCATCTCATACGCTGCGTTTTATGGCGATCTTGACTGCTGAGCGAA

Reverse complement sequence

TTCGCTCAGCAGTCAAGATCGCCATAAAACGCAGCGTATGAGATGCGTACCCTTCTTCTTCCTTGATTGGTTGTCTCCTCGCCAACCTCCTCTTCATGAG[A/C]
TGATAGTAATAATTCGTTCGTTTTTACCCTGCTCACAGTTGATCTCTGATCTCGCCGTACCGGATTATATATACATGTAATTACTACTGCATCGATCGTC

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 98.80% 1.00% 0.28% 0.00% NA
All Indica  2759 97.90% 1.60% 0.47% 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 97.80% 1.50% 0.67% 0.00% NA
Indica II  465 99.80% 0.00% 0.22% 0.00% NA
Indica III  913 99.30% 0.70% 0.00% 0.00% NA
Indica Intermediate  786 95.20% 3.80% 1.02% 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  90 100.00% 0.00% 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
vg0919713003 T -> G LOC_Os09g33460.1 downstream_gene_variant ; 147.0bp to feature; MODIFIER silent_mutation Average:79.562; most accessible tissue: Zhenshan97 flower, score: 96.038 N N N N
vg0919713003 T -> G LOC_Os09g33460.2 downstream_gene_variant ; 147.0bp to feature; MODIFIER silent_mutation Average:79.562; most accessible tissue: Zhenshan97 flower, score: 96.038 N N N N
vg0919713003 T -> G LOC_Os09g33460-LOC_Os09g33470 intergenic_region ; MODIFIER silent_mutation Average:79.562; most accessible tissue: Zhenshan97 flower, score: 96.038 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)
vg0919713003 T G 0.05 0.04 0.04 0.03 0.03 0.04

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0919713003 NA 4.79E-06 mr1155 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
vg0919713003 7.58E-06 1.29E-08 mr1166 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
vg0919713003 NA 4.04E-06 mr1515 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
vg0919713003 NA 1.82E-07 mr1765 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
vg0919713003 NA 2.19E-08 mr1533_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