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Detailed information for vg0220326688:

Variant ID: vg0220326688 (JBrowse)Variation Type: SNP
Chromosome: chr02Position: 20326688
Reference Allele: CAlternative Allele: T
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: 241. )

Flanking Sequence (100 bp) in Reference Genome:


TTACCTCGACGGTTCTGGTTGCTAGAGCCCGCCCGGCCCTTGTTGCTGCTGCTGGATCCCTCCTGCTCCCGCTGCTTGACACGGGCCTGCCACTGCTCCT[C/T]
AGTGAGGTACAATTTGCTGCCATCACTTGCCTCCTCGTCATCACTGTAAGAGTCGACCGTCGACAGCCGCCCGACGAGCTCCTCCAGGGCCATGGTCTTC

Reverse complement sequence

GAAGACCATGGCCCTGGAGGAGCTCGTCGGGCGGCTGTCGACGGTCGACTCTTACAGTGATGACGAGGAGGCAAGTGATGGCAGCAAATTGTACCTCACT[G/A]
AGGAGCAGTGGCAGGCCCGTGTCAAGCAGCGGGAGCAGGAGGGATCCAGCAGCAGCAACAAGGGCCGGGCGGGCTCTAGCAACCAGAACCGTCGAGGTAA

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 81.00% 16.30% 0.40% 2.31% NA
All Indica  2759 99.00% 0.40% 0.07% 0.54% NA
All Japonica  1512 50.90% 45.20% 0.93% 2.98% NA
Aus  269 94.80% 1.90% 0.74% 2.60% NA
Indica I  595 99.50% 0.20% 0.00% 0.34% NA
Indica II  465 98.90% 0.40% 0.00% 0.65% NA
Indica III  913 98.90% 0.40% 0.11% 0.55% NA
Indica Intermediate  786 98.70% 0.50% 0.13% 0.64% NA
Temperate Japonica  767 56.70% 39.50% 1.30% 2.48% NA
Tropical Japonica  504 47.00% 51.80% 0.20% 0.99% NA
Japonica Intermediate  241 40.70% 49.40% 1.24% 8.71% NA
VI/Aromatic  96 10.40% 53.10% 0.00% 36.46% NA
Intermediate  90 68.90% 22.20% 1.11% 7.78% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0220326688 C -> T LOC_Os02g34030.1 missense_variant ; p.Glu241Lys; MODERATE nonsynonymous_codon ; E241K Average:77.863; most accessible tissue: Zhenshan97 young leaf, score: 92.708 benign 0.011 TOLERATED 0.10
vg0220326688 C -> DEL LOC_Os02g34030.1 N frameshift_variant Average:77.863; most accessible tissue: Zhenshan97 young leaf, score: 92.708 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)
vg0220326688 C T -0.01 0.0 -0.01 -0.01 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0220326688 NA 6.12E-06 mr1184_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
vg0220326688 NA 6.15E-06 mr1278_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
vg0220326688 NA 4.82E-06 mr1293_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
vg0220326688 1.34E-06 1.34E-06 mr1293_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
vg0220326688 6.51E-06 6.51E-06 mr1371_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
vg0220326688 9.76E-06 9.75E-06 mr1497_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
vg0220326688 5.02E-06 5.02E-06 mr1655_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
vg0220326688 5.62E-07 5.62E-07 mr1657_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
vg0220326688 8.39E-06 8.39E-06 mr1669_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
vg0220326688 1.49E-06 NA mr1672_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
vg0220326688 NA 1.63E-09 mr1851_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
vg0220326688 3.36E-06 NA mr1864_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