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Detailed information for vg1003403367:

Variant ID: vg1003403367 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 3403367
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.96, A: 0.04, others allele: 0.00, population size: 113. )

Flanking Sequence (100 bp) in Reference Genome:


TCTTCTCTTTCCTCTCTTGCGCAGTTCCGCTAACCCTCGCCTCGGCTCGGCGGCTTCCCGTTGCTGCTCGCGGCTCCCAATTCCCAAATCGAAAAAAAAG[G/A]
GCATCGCGCGCGGGATCTCCATCCTAGGGTTTCCGCGTCACCACCCTCGCCGCCCATGGCGAGCGGCGGCGCCTCCTCCGCCCCGGCCACCGCCTCCACC

Reverse complement sequence

GGTGGAGGCGGTGGCCGGGGCGGAGGAGGCGCCGCCGCTCGCCATGGGCGGCGAGGGTGGTGACGCGGAAACCCTAGGATGGAGATCCCGCGCGCGATGC[C/T]
CTTTTTTTTCGATTTGGGAATTGGGAGCCGCGAGCAGCAACGGGAAGCCGCCGAGCCGAGGCGAGGGTTAGCGGAACTGCGCAAGAGAGGAAAGAGAAGA

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 61.10% 38.50% 0.34% 0.08% NA
All Indica  2759 43.70% 55.70% 0.43% 0.14% NA
All Japonica  1512 98.20% 1.70% 0.07% 0.00% NA
Aus  269 15.60% 84.40% 0.00% 0.00% NA
Indica I  595 46.40% 52.90% 0.50% 0.17% NA
Indica II  465 25.60% 73.30% 0.43% 0.65% NA
Indica III  913 59.40% 40.20% 0.44% 0.00% NA
Indica Intermediate  786 34.10% 65.50% 0.38% 0.00% NA
Temperate Japonica  767 99.50% 0.50% 0.00% 0.00% NA
Tropical Japonica  504 96.20% 3.80% 0.00% 0.00% NA
Japonica Intermediate  241 98.30% 1.20% 0.41% 0.00% NA
VI/Aromatic  96 99.00% 1.00% 0.00% 0.00% NA
Intermediate  90 65.60% 31.10% 3.33% 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
vg1003403367 G -> A LOC_Os10g06600-LOC_Os10g06610 intergenic_region ; MODIFIER silent_mutation Average:94.655; most accessible tissue: Zhenshan97 panicle, score: 98.456 N N N N
vg1003403367 G -> DEL N N silent_mutation Average:94.655; most accessible tissue: Zhenshan97 panicle, score: 98.456 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)
vg1003403367 G A -0.03 -0.03 -0.02 -0.02 -0.01 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1003403367 1.08E-11 NA mr1538 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
vg1003403367 4.52E-13 1.26E-14 mr1538 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
vg1003403367 1.79E-21 1.25E-14 mr1547 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
vg1003403367 1.97E-19 4.61E-26 mr1547 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
vg1003403367 5.45E-42 8.93E-44 mr1709 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
vg1003403367 6.41E-42 1.24E-65 mr1709 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
vg1003403367 NA 7.06E-07 mr1129_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
vg1003403367 8.20E-12 NA mr1538_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
vg1003403367 1.45E-14 7.73E-20 mr1538_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
vg1003403367 2.43E-20 3.67E-16 mr1547_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
vg1003403367 2.25E-23 7.58E-32 mr1547_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
vg1003403367 NA 9.92E-10 mr1600_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
vg1003403367 9.04E-70 6.92E-69 mr1709_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
vg1003403367 1.59E-62 1.58E-107 mr1709_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