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Detailed information for vg0919119487:

Variant ID: vg0919119487 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 19119487
Reference Allele: CAlternative Allele: T
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.97, C: 0.03, others allele: 0.00, population size: 281. )

Flanking Sequence (100 bp) in Reference Genome:


TGAAATTCCTTCATTCCAAAGGATGCCTAAGTTGAACTTGCACACTGCATCCTCGCGTCTGAAATCTGAACTGGCACAATGTGTTACATCTTGGCCTCTA[C/T]
TCCTCTTGGCACCAATAATTATCGTCTCTAATGTGATAGTTAATACAATGATTCACGTAGTCTAACAACAGATAAGGAGAATGTTGGCATCATGGTGCCT

Reverse complement sequence

AGGCACCATGATGCCAACATTCTCCTTATCTGTTGTTAGACTACGTGAATCATTGTATTAACTATCACATTAGAGACGATAATTATTGGTGCCAAGAGGA[G/A]
TAGAGGCCAAGATGTAACACATTGTGCCAGTTCAGATTTCAGACGCGAGGATGCAGTGTGCAAGTTCAACTTAGGCATCCTTTGGAATGAAGGAATTTCA

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 65.20% 34.50% 0.00% 0.32% NA
All Indica  2759 97.50% 2.20% 0.00% 0.29% NA
All Japonica  1512 0.50% 99.30% 0.00% 0.20% NA
Aus  269 98.10% 1.90% 0.00% 0.00% NA
Indica I  595 97.10% 2.40% 0.00% 0.50% NA
Indica II  465 95.90% 3.90% 0.00% 0.22% NA
Indica III  913 99.00% 0.70% 0.00% 0.33% NA
Indica Intermediate  786 96.80% 3.10% 0.00% 0.13% NA
Temperate Japonica  767 0.10% 99.70% 0.00% 0.13% NA
Tropical Japonica  504 0.00% 99.80% 0.00% 0.20% NA
Japonica Intermediate  241 2.90% 96.70% 0.00% 0.41% NA
VI/Aromatic  96 78.10% 21.90% 0.00% 0.00% NA
Intermediate  90 48.90% 46.70% 0.00% 4.44% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0919119487 C -> DEL N N silent_mutation Average:86.151; most accessible tissue: Minghui63 flower, score: 92.54 N N N N
vg0919119487 C -> T LOC_Os09g32030.1 3_prime_UTR_variant ; 276.0bp to feature; MODIFIER silent_mutation Average:86.151; most accessible tissue: Minghui63 flower, score: 92.54 N N N N
vg0919119487 C -> T LOC_Os09g32020.1 upstream_gene_variant ; 1470.0bp to feature; MODIFIER silent_mutation Average:86.151; most accessible tissue: Minghui63 flower, score: 92.54 N N N N
vg0919119487 C -> T LOC_Os09g32025.1 upstream_gene_variant ; 348.0bp to feature; MODIFIER silent_mutation Average:86.151; most accessible tissue: Minghui63 flower, score: 92.54 N N N N
vg0919119487 C -> T LOC_Os09g32040.1 downstream_gene_variant ; 2339.0bp to feature; MODIFIER silent_mutation Average:86.151; most accessible tissue: Minghui63 flower, score: 92.54 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)
vg0919119487 C T -0.02 -0.02 -0.01 -0.03 -0.02 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0919119487 NA 2.45E-105 mr1008 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
vg0919119487 NA 2.31E-102 mr1009 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
vg0919119487 NA 9.79E-11 mr1172 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
vg0919119487 NA 3.70E-23 mr1518 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
vg0919119487 NA 2.73E-09 mr1518 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
vg0919119487 NA 1.93E-35 mr1542 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
vg0919119487 NA 1.69E-28 mr1546 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
vg0919119487 NA 3.23E-24 mr1676 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
vg0919119487 NA 1.86E-09 mr1676 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
vg0919119487 NA 1.77E-36 mr1719 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
vg0919119487 NA 1.24E-13 mr1874 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
vg0919119487 NA 1.15E-52 mr1889 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
vg0919119487 NA 6.01E-08 mr1299_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
vg0919119487 NA 1.16E-17 mr1342_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
vg0919119487 NA 3.01E-25 mr1403_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
vg0919119487 NA 1.01E-45 mr1486_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
vg0919119487 NA 3.44E-49 mr1546_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
vg0919119487 NA 3.05E-19 mr1637_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
vg0919119487 NA 1.45E-26 mr1676_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
vg0919119487 NA 1.98E-10 mr1676_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
vg0919119487 NA 9.32E-08 mr1700_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