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Detailed information for vg1212721356:

Variant ID: vg1212721356 (JBrowse)Variation Type: SNP
Chromosome: chr12Position: 12721356
Reference Allele: CAlternative Allele: T,A
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: 108. )

Flanking Sequence (100 bp) in Reference Genome:


ATTCAAAGATCATTTTAGTGATTAATTTACTTGGAAAAGTAATAAAAACCCTCCTCCTCAGCTTGGGCCCGTTTCGGCCCATTCCTTCCTCTTCTCTCTC[C/T,A]
CTTCCTCAGCCCAGCCTAAAGTCTAATCTTCCTCCCTCTCGCTACAGTGCGTCTTCAAGCTCCAGCCAGCCGTTTGCAAAATTAGTTGAGGGAAAATCAT

Reverse complement sequence

ATGATTTTCCCTCAACTAATTTTGCAAACGGCTGGCTGGAGCTTGAAGACGCACTGTAGCGAGAGGGAGGAAGATTAGACTTTAGGCTGGGCTGAGGAAG[G/A,T]
GAGAGAGAAGAGGAAGGAATGGGCCGAAACGGGCCCAAGCTGAGGAGGAGGGTTTTTATTACTTTTCCAAGTAAATTAATCACTAAAATGATCTTTGAAT

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 54.80% 18.70% 15.68% 10.58% A: 0.19%
All Indica  2759 56.60% 25.30% 8.37% 9.50% A: 0.22%
All Japonica  1512 59.10% 8.90% 17.86% 14.15% NA
Aus  269 24.20% 9.30% 62.45% 2.97% A: 1.12%
Indica I  595 61.80% 21.30% 5.21% 11.60% NA
Indica II  465 51.60% 19.80% 13.55% 14.62% A: 0.43%
Indica III  913 53.10% 32.50% 7.56% 6.46% A: 0.33%
Indica Intermediate  786 59.50% 23.30% 8.65% 8.40% A: 0.13%
Temperate Japonica  767 83.80% 4.80% 5.61% 5.74% NA
Tropical Japonica  504 18.70% 15.70% 37.10% 28.57% NA
Japonica Intermediate  241 64.70% 7.90% 16.60% 10.79% NA
VI/Aromatic  96 13.50% 14.60% 63.54% 8.33% NA
Intermediate  90 64.40% 14.40% 12.22% 8.89% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1212721356 C -> DEL N N silent_mutation Average:71.981; most accessible tissue: Minghui63 young leaf, score: 92.217 N N N N
vg1212721356 C -> A LOC_Os12g22540.1 upstream_gene_variant ; 1185.0bp to feature; MODIFIER silent_mutation Average:71.981; most accessible tissue: Minghui63 young leaf, score: 92.217 N N N N
vg1212721356 C -> A LOC_Os12g22530.1 downstream_gene_variant ; 2902.0bp to feature; MODIFIER silent_mutation Average:71.981; most accessible tissue: Minghui63 young leaf, score: 92.217 N N N N
vg1212721356 C -> A LOC_Os12g22530-LOC_Os12g22540 intergenic_region ; MODIFIER silent_mutation Average:71.981; most accessible tissue: Minghui63 young leaf, score: 92.217 N N N N
vg1212721356 C -> T LOC_Os12g22540.1 upstream_gene_variant ; 1185.0bp to feature; MODIFIER silent_mutation Average:71.981; most accessible tissue: Minghui63 young leaf, score: 92.217 N N N N
vg1212721356 C -> T LOC_Os12g22530.1 downstream_gene_variant ; 2902.0bp to feature; MODIFIER silent_mutation Average:71.981; most accessible tissue: Minghui63 young leaf, score: 92.217 N N N N
vg1212721356 C -> T LOC_Os12g22530-LOC_Os12g22540 intergenic_region ; MODIFIER silent_mutation Average:71.981; most accessible tissue: Minghui63 young leaf, score: 92.217 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)
vg1212721356 C A 0.07 0.04 0.07 0.07 0.06 0.09
vg1212721356 C T -0.05 -0.04 -0.02 -0.03 -0.03 -0.04

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1212721356 6.57E-06 6.57E-06 mr1444 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
vg1212721356 NA 6.43E-07 mr1458 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
vg1212721356 NA 9.31E-07 mr1583 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
vg1212721356 1.70E-07 1.70E-07 mr1601 Jap_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
vg1212721356 NA 6.43E-08 mr1677 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
vg1212721356 NA 8.46E-06 mr1677 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
vg1212721356 NA 5.91E-07 mr1678 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