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Detailed information for vg0722687147:

Variant ID: vg0722687147 (JBrowse)Variation Type: SNP
Chromosome: chr07Position: 22687147
Reference Allele: CAlternative Allele: T
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.81, T: 0.19, others allele: 0.00, population size: 80. )

Flanking Sequence (100 bp) in Reference Genome:


CTCATCATGCCACAACTCAAGTTAGCCATGTTTGAATTAGTCATTCATTTGGTTGGTGCCATACGTTTAGCAAGATTCATTCACCATGATGTGGGTCCCA[C/T]
ATATCATTGGCATATAAAAGTGTGGCAAGTTTATTCTCCTATGACTGAAGTGTGGCTTTAATTTTATTGGCCACATGTTAGACATATTAGCTAAATGAAG

Reverse complement sequence

CTTCATTTAGCTAATATGTCTAACATGTGGCCAATAAAATTAAAGCCACACTTCAGTCATAGGAGAATAAACTTGCCACACTTTTATATGCCAATGATAT[G/A]
TGGGACCCACATCATGGTGAATGAATCTTGCTAAACGTATGGCACCAACCAAATGAATGACTAATTCAAACATGGCTAACTTGAGTTGTGGCATGATGAG

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of C(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 59.30% 40.40% 0.25% 0.00% NA
All Indica  2759 87.40% 12.30% 0.36% 0.00% NA
All Japonica  1512 7.50% 92.50% 0.00% 0.00% NA
Aus  269 91.40% 8.60% 0.00% 0.00% NA
Indica I  595 95.10% 4.70% 0.17% 0.00% NA
Indica II  465 80.40% 18.90% 0.65% 0.00% NA
Indica III  913 86.50% 13.10% 0.33% 0.00% NA
Indica Intermediate  786 86.50% 13.10% 0.38% 0.00% NA
Temperate Japonica  767 14.00% 86.00% 0.00% 0.00% NA
Tropical Japonica  504 0.40% 99.60% 0.00% 0.00% NA
Japonica Intermediate  241 1.70% 98.30% 0.00% 0.00% NA
VI/Aromatic  96 3.10% 94.80% 2.08% 0.00% NA
Intermediate  90 35.60% 64.40% 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
vg0722687147 C -> T LOC_Os07g37820.1 upstream_gene_variant ; 1433.0bp to feature; MODIFIER silent_mutation Average:82.753; most accessible tissue: Zhenshan97 root, score: 96.932 N N N N
vg0722687147 C -> T LOC_Os07g37830.1 upstream_gene_variant ; 1753.0bp to feature; MODIFIER silent_mutation Average:82.753; most accessible tissue: Zhenshan97 root, score: 96.932 N N N N
vg0722687147 C -> T LOC_Os07g37830.2 upstream_gene_variant ; 1797.0bp to feature; MODIFIER silent_mutation Average:82.753; most accessible tissue: Zhenshan97 root, score: 96.932 N N N N
vg0722687147 C -> T LOC_Os07g37820-LOC_Os07g37830 intergenic_region ; MODIFIER silent_mutation Average:82.753; most accessible tissue: Zhenshan97 root, score: 96.932 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)
vg0722687147 C T -0.02 -0.04 -0.06 -0.13 -0.04 -0.05

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0722687147 NA 9.91E-09 Awn_length 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
vg0722687147 1.77E-06 2.33E-09 mr1071 Jap_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
vg0722687147 NA 5.22E-08 mr1080 Jap_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
vg0722687147 NA 9.88E-08 mr1100 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
vg0722687147 NA 7.19E-08 mr1140 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
vg0722687147 NA 1.63E-07 mr1203 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
vg0722687147 NA 2.36E-07 mr1395 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
vg0722687147 NA 7.65E-07 mr1613 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
vg0722687147 NA 1.83E-07 mr1618 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
vg0722687147 NA 1.57E-07 mr1619 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
vg0722687147 NA 4.44E-06 mr1900 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
vg0722687147 NA 7.03E-06 mr1962 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
vg0722687147 NA 3.02E-06 mr1100_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
vg0722687147 NA 1.65E-06 mr1613_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
vg0722687147 NA 5.25E-07 mr1913_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