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Detailed information for vg0921450059:

Variant ID: vg0921450059 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 21450059
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.76, A: 0.24, others allele: 0.00, population size: 92. )

Flanking Sequence (100 bp) in Reference Genome:


ATGCATATTATACATCCAGTTGAATCAATACATTGATTATTACTACCTCCATATTTTAATGTATGACACTGTTGACTTTTTTTCCAACGTTTGACCATTT[G/A]
TCTTATTCAAAAAATTTATGTAATTATCATTTATTTTATTATGACTTGATTCGTCATCAAATGTTCTTTAAGCATGACATAAATATTTTCATATTTGCAT

Reverse complement sequence

ATGCAAATATGAAAATATTTATGTCATGCTTAAAGAACATTTGATGACGAATCAAGTCATAATAAAATAAATGATAATTACATAAATTTTTTGAATAAGA[C/T]
AAATGGTCAAACGTTGGAAAAAAAGTCAACAGTGTCATACATTAAAATATGGAGGTAGTAATAATCAATGTATTGATTCAACTGGATGTATAATATGCAT

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 74.60% 25.20% 0.17% 0.00% NA
All Indica  2759 58.40% 41.30% 0.29% 0.00% NA
All Japonica  1512 99.90% 0.10% 0.00% 0.00% NA
Aus  269 84.80% 15.20% 0.00% 0.00% NA
Indica I  595 85.90% 14.10% 0.00% 0.00% NA
Indica II  465 66.20% 33.50% 0.22% 0.00% NA
Indica III  913 34.20% 65.40% 0.44% 0.00% NA
Indica Intermediate  786 61.20% 38.40% 0.38% 0.00% NA
Temperate Japonica  767 99.90% 0.10% 0.00% 0.00% NA
Tropical Japonica  504 100.00% 0.00% 0.00% 0.00% NA
Japonica Intermediate  241 99.60% 0.40% 0.00% 0.00% NA
VI/Aromatic  96 99.00% 1.00% 0.00% 0.00% NA
Intermediate  90 88.90% 11.10% 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
vg0921450059 G -> A LOC_Os09g37180.1 upstream_gene_variant ; 521.0bp to feature; MODIFIER silent_mutation Average:51.059; most accessible tissue: Callus, score: 93.065 N N N N
vg0921450059 G -> A LOC_Os09g37170-LOC_Os09g37180 intergenic_region ; MODIFIER silent_mutation Average:51.059; most accessible tissue: Callus, score: 93.065 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)
vg0921450059 G A -0.03 0.0 0.01 0.01 0.0 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0921450059 1.01E-09 NA mr1003 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
vg0921450059 1.93E-08 1.54E-08 mr1003 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
vg0921450059 NA 2.46E-08 mr1004 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
vg0921450059 NA 2.43E-07 mr1004 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
vg0921450059 5.90E-10 6.00E-15 mr1006 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
vg0921450059 9.26E-09 7.14E-14 mr1006 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
vg0921450059 1.63E-08 1.60E-13 mr1007 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
vg0921450059 8.56E-08 2.23E-12 mr1007 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
vg0921450059 2.43E-09 NA mr1051 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
vg0921450059 2.23E-08 4.69E-09 mr1051 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
vg0921450059 4.26E-10 1.25E-15 mr1052 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
vg0921450059 4.64E-09 1.37E-14 mr1052 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
vg0921450059 1.96E-07 NA mr1536 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
vg0921450059 1.45E-07 4.14E-10 mr1536 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
vg0921450059 3.36E-08 1.09E-13 mr1004_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
vg0921450059 2.45E-06 3.42E-09 mr1004_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
vg0921450059 1.71E-10 9.96E-16 mr1006_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
vg0921450059 5.00E-09 1.07E-14 mr1006_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
vg0921450059 1.08E-11 NA mr1051_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
vg0921450059 1.95E-10 4.85E-12 mr1051_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
vg0921450059 1.10E-08 NA mr1536_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
vg0921450059 1.90E-08 1.92E-11 mr1536_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