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Detailed information for vg0519814183:

Variant ID: vg0519814183 (JBrowse)Variation Type: INDEL
Chromosome: chr05Position: 19814183
Reference Allele: GAlternative Allele: A,GT
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


AAGACCGAGTCAATCTAGCCACCTAGGCGCCACGTCAGCCAAAACCGTCAAGGGACCTTCTTTACACTGATTTTGATAGTTGAGGAACATGTTGTATCTG[G/A,GT]
TTTTTCTGTTAAAAGATGAAAATCGGATTCATTAGCAAGTTAAGGGACCTAGATAAACTTATTCCGAGTATTGATTGCCACATTAAGCCTGCCACTCCAA

Reverse complement sequence

TTGGAGTGGCAGGCTTAATGTGGCAATCAATACTCGGAATAAGTTTATCTAGGTCCCTTAACTTGCTAATGAATCCGATTTTCATCTTTTAACAGAAAAA[C/T,AC]
CAGATACAACATGTTCCTCAACTATCAAAATCAGTGTAAAGAAGGTCCCTTGACGGTTTTGGCTGACGTGGCGCCTAGGTGGCTAGATTGACTCGGTCTT

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 81.10% 16.90% 0.70% 1.25% GT: 0.04%
All Indica  2759 97.30% 2.50% 0.14% 0.00% GT: 0.07%
All Japonica  1512 66.50% 28.40% 1.19% 3.90% NA
Aus  269 25.70% 71.70% 2.60% 0.00% NA
Indica I  595 99.30% 0.70% 0.00% 0.00% NA
Indica II  465 98.30% 1.70% 0.00% 0.00% NA
Indica III  913 97.70% 2.00% 0.11% 0.00% GT: 0.22%
Indica Intermediate  786 94.80% 4.80% 0.38% 0.00% NA
Temperate Japonica  767 98.60% 1.40% 0.00% 0.00% NA
Tropical Japonica  504 11.90% 73.40% 3.57% 11.11% NA
Japonica Intermediate  241 78.40% 20.30% 0.00% 1.24% NA
VI/Aromatic  96 10.40% 87.50% 2.08% 0.00% NA
Intermediate  90 72.20% 25.60% 2.22% 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
vg0519814183 G -> DEL N N silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> A LOC_Os05g33670.1 upstream_gene_variant ; 993.0bp to feature; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> A LOC_Os05g33680.1 upstream_gene_variant ; 554.0bp to feature; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> A LOC_Os05g33660.1 downstream_gene_variant ; 2739.0bp to feature; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> A LOC_Os05g33670-LOC_Os05g33680 intergenic_region ; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> GT LOC_Os05g33670.1 upstream_gene_variant ; 994.0bp to feature; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> GT LOC_Os05g33680.1 upstream_gene_variant ; 553.0bp to feature; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> GT LOC_Os05g33660.1 downstream_gene_variant ; 2740.0bp to feature; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 N N N N
vg0519814183 G -> GT LOC_Os05g33670-LOC_Os05g33680 intergenic_region ; MODIFIER silent_mutation Average:94.937; most accessible tissue: Minghui63 panicle, score: 97.557 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)
vg0519814183 G A -0.01 -0.01 0.0 -0.01 0.0 0.01
vg0519814183 G GT -0.09 -0.15 -0.15 -0.13 -0.11 -0.07

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0519814183 NA 1.80E-06 mr1125 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
vg0519814183 NA 1.78E-06 mr1295 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
vg0519814183 NA 1.74E-06 mr1471 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
vg0519814183 NA 1.99E-09 mr1593 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
vg0519814183 NA 2.62E-06 mr1633 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
vg0519814183 NA 1.91E-06 mr1642 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
vg0519814183 2.16E-06 2.16E-06 mr1664 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
vg0519814183 NA 9.15E-14 mr1696 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
vg0519814183 NA 3.78E-06 mr1158_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
vg0519814183 NA 8.92E-07 mr1633_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