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Detailed information for vg0922427838:

Variant ID: vg0922427838 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 22427838
Reference Allele: TAlternative Allele: G
Primary Allele: TSecondary Allele: G

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.99, G: 0.01, others allele: 0.00, population size: 117. )

Flanking Sequence (100 bp) in Reference Genome:


ATCCAGTACTTGGTGTTGTCCGGTGTCGCGCCATATCCCACCGCCAACACGGCATGGTTTATCGATGTCCCGCACGGGCCACTATACACACCCTGCATAA[T/G]
TAAAGTACGCCAACAACTTATTAATTACTACATCATTAGGATTTATTCTACATATTTAAAATTAAATAATTGAAATCTTCCATATGTGTCGGTTTCTTGA

Reverse complement sequence

TCAAGAAACCGACACATATGGAAGATTTCAATTATTTAATTTTAAATATGTAGAATAAATCCTAATGATGTAGTAATTAATAAGTTGTTGGCGTACTTTA[A/C]
TTATGCAGGGTGTGTATAGTGGCCCGTGCGGGACATCGATAAACCATGCCGTGTTGGCGGTGGGATATGGCGCGACACCGGACAACACCAAGTACTGGAT

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 78.40% 13.20% 0.28% 8.08% NA
All Indica  2759 64.00% 21.70% 0.47% 13.77% NA
All Japonica  1512 100.00% 0.00% 0.00% 0.00% NA
Aus  269 93.30% 6.70% 0.00% 0.00% NA
Indica I  595 64.20% 35.10% 0.34% 0.34% NA
Indica II  465 71.40% 14.40% 0.86% 13.33% NA
Indica III  913 62.00% 14.90% 0.11% 23.00% NA
Indica Intermediate  786 62.00% 23.80% 0.76% 13.49% 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 90.00% 7.80% 0.00% 2.22% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0922427838 T -> G LOC_Os09g39070.1 intron_variant ; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0922427838 T -> DEL N N silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 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)
vg0922427838 T G 0.05 0.0 0.0 0.01 0.01 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0922427838 NA 1.37E-06 mr1229 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
vg0922427838 NA 2.48E-06 mr1236 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
vg0922427838 NA 1.75E-06 mr1706 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
vg0922427838 1.81E-16 NA mr1865 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
vg0922427838 4.69E-20 1.90E-23 mr1865 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
vg0922427838 2.61E-17 NA mr1865_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
vg0922427838 5.74E-20 4.20E-26 mr1865_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
vg0922427838 NA 2.95E-08 mr1968_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