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Detailed information for vg0234891437:

Variant ID: vg0234891437 (JBrowse)Variation Type: SNP
Chromosome: chr02Position: 34891437
Reference Allele: TAlternative Allele: C
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


AGCATTTATGCACGTTTTCAACTGATGTCCAGATATATTTTGAGAAACATGAAAAAAAAATTCTTATACTGTCTGATGCTAGTAAGGCTGTGTTTAGTTC[T/C]
TTCTAAAGTTGAAAGTTTGAGTTAAAATTGGTACAATATGACTGAAAAATTATATATATACGACAGGTTAATGTGATGGAAAAAGTTGGAAGTTTGAATC

Reverse complement sequence

GATTCAAACTTCCAACTTTTTCCATCACATTAACCTGTCGTATATATATAATTTTTCAGTCATATTGTACCAATTTTAACTCAAACTTTCAACTTTAGAA[A/G]
GAACTAAACACAGCCTTACTAGCATCAGACAGTATAAGAATTTTTTTTTCATGTTTCTCAAAATATATCTGGACATCAGTTGAAAACGTGCATAAATGCT

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 68.50% 31.40% 0.11% 0.00% NA
All Indica  2759 95.70% 4.30% 0.04% 0.00% NA
All Japonica  1512 18.30% 81.70% 0.00% 0.00% NA
Aus  269 64.30% 34.20% 1.49% 0.00% NA
Indica I  595 97.00% 3.00% 0.00% 0.00% NA
Indica II  465 99.40% 0.60% 0.00% 0.00% NA
Indica III  913 93.80% 6.20% 0.00% 0.00% NA
Indica Intermediate  786 94.80% 5.10% 0.13% 0.00% NA
Temperate Japonica  767 7.80% 92.20% 0.00% 0.00% NA
Tropical Japonica  504 37.70% 62.30% 0.00% 0.00% NA
Japonica Intermediate  241 10.80% 89.20% 0.00% 0.00% NA
VI/Aromatic  96 92.70% 7.30% 0.00% 0.00% NA
Intermediate  90 65.60% 34.40% 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
vg0234891437 T -> C LOC_Os02g56910.1 upstream_gene_variant ; 3015.0bp to feature; MODIFIER silent_mutation Average:65.437; most accessible tissue: Minghui63 panicle, score: 92.8 N N N N
vg0234891437 T -> C LOC_Os02g56920.1 intron_variant ; MODIFIER silent_mutation Average:65.437; most accessible tissue: Minghui63 panicle, score: 92.8 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)
vg0234891437 T C 0.0 0.02 0.0 -0.01 0.0 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0234891437 NA 1.84E-53 Grain_width All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0234891437 NA 2.16E-12 Grain_width Jap_All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0234891437 NA 1.86E-50 mr1125 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
vg0234891437 NA 2.33E-25 mr1251 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
vg0234891437 NA 3.84E-10 mr1316 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
vg0234891437 3.26E-06 3.35E-39 mr1448 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
vg0234891437 NA 5.19E-06 mr1903 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
vg0234891437 NA 1.82E-07 mr1915 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
vg0234891437 NA 1.47E-63 mr1125_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
vg0234891437 NA 2.52E-07 mr1125_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
vg0234891437 NA 2.51E-08 mr1526_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