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Detailed information for vg0704902515:

Variant ID: vg0704902515 (JBrowse)Variation Type: SNP
Chromosome: chr07Position: 4902515
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.99, others allele: 0.00, population size: 291. )

Flanking Sequence (100 bp) in Reference Genome:


ATAACAACTTCTCTATTAACATTCTTTTTCCGACCACGCACAACCCTCCACCATTCACTTTTTCCACATATCTTAACTTCTCAACCAATCCAACTTCTCC[C/T]
CCATTTAATTCTACCTCCTTTTCTTAATAACTGTATCCAACTCTAAAATAGTAAAACTGGGTAGAAACATAAGCGCTCATAATACGTGCACGTTCATCCC

Reverse complement sequence

GGGATGAACGTGCACGTATTATGAGCGCTTATGTTTCTACCCAGTTTTACTATTTTAGAGTTGGATACAGTTATTAAGAAAAGGAGGTAGAATTAAATGG[G/A]
GGAGAAGTTGGATTGGTTGAGAAGTTAAGATATGTGGAAAAAGTGAATGGTGGAGGGTTGTGCGTGGTCGGAAAAAGAATGTTAATAGAGAAGTTGTTAT

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 87.20% 12.30% 0.44% 0.00% NA
All Indica  2759 98.00% 1.80% 0.22% 0.00% NA
All Japonica  1512 83.40% 15.80% 0.79% 0.00% NA
Aus  269 27.90% 71.40% 0.74% 0.00% NA
Indica I  595 99.50% 0.00% 0.50% 0.00% NA
Indica II  465 98.10% 1.70% 0.22% 0.00% NA
Indica III  913 98.20% 1.80% 0.00% 0.00% NA
Indica Intermediate  786 96.40% 3.30% 0.25% 0.00% NA
Temperate Japonica  767 98.60% 1.00% 0.39% 0.00% NA
Tropical Japonica  504 55.40% 43.30% 1.39% 0.00% NA
Japonica Intermediate  241 93.80% 5.40% 0.83% 0.00% NA
VI/Aromatic  96 12.50% 87.50% 0.00% 0.00% NA
Intermediate  90 78.90% 20.00% 1.11% 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
vg0704902515 C -> T LOC_Os07g09330-LOC_Os07g09340 intergenic_region ; MODIFIER silent_mutation Average:70.552; most accessible tissue: Minghui63 young leaf, score: 87.677 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)
vg0704902515 C T 0.0 0.0 0.0 -0.01 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0704902515 NA 1.16E-06 mr1057 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
vg0704902515 9.73E-06 NA mr1076 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
vg0704902515 2.29E-06 NA mr1226 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
vg0704902515 NA 1.77E-07 mr1057_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
vg0704902515 2.81E-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
vg0704902515 NA 3.99E-07 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
vg0704902515 1.05E-07 NA mr1083_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
vg0704902515 NA 5.29E-06 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
vg0704902515 3.16E-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
vg0704902515 7.88E-06 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
vg0704902515 1.21E-09 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
vg0704902515 3.16E-07 NA mr1107_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
vg0704902515 4.18E-06 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
vg0704902515 2.89E-06 NA mr1408_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
vg0704902515 NA 4.38E-07 mr1522_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