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Detailed information for vg0502118673:

Variant ID: vg0502118673 (JBrowse)Variation Type: INDEL
Chromosome: chr05Position: 2118673
Reference Allele: CAAAAlternative Allele: CA,CAA,TAAA,CAAAA,C
Primary Allele: CAAASecondary Allele: CAA

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


TCTCTATGGTTTATTATTAGCGCACCATTTCTTGCATAGGATTTGTTAACACATATATTCTTGTAAAATATTTTTACTCTACAACATATGGTCACACATG[CAAA/CA,CAA,TAAA,CAAAA,C]
AAAAAAAAACATGTTTTTTCAGAAAAAAAACACACATGAGATAAGTCGTTGTAGGATTGTAGGACACATTGTGGGTGCACTTAACCCATGAATGCTGACG

Reverse complement sequence

CGTCAGCATTCATGGGTTAAGTGCACCCACAATGTGTCCTACAATCCTACAACGACTTATCTCATGTGTGTTTTTTTTCTGAAAAAACATGTTTTTTTTT[TTTG/TG,TTG,TTTA,TTTTG,G]
CATGTGTGACCATATGTTGTAGAGTAAAAATATTTTACAAGAATATATGTGTTAACAAATCCTATGCAAGAAATGGTGCGCTAATAATAAACCATAGAGA

Allele Frequencies:

Populations Population SizeFrequency of CAAA(primary allele) Frequency of CAA(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 26.60% 12.00% 2.92% 45.51% TAAA: 9.92%; CA: 2.18%; CAAAA: 0.87%; C: 0.04%
All Indica  2759 2.90% 19.80% 1.34% 69.95% TAAA: 5.87%; CA: 0.22%
All Japonica  1512 74.70% 0.80% 5.95% 3.77% TAAA: 11.31%; CAAAA: 2.58%; CA: 0.93%
Aus  269 1.50% 0.00% 2.60% 51.67% TAAA: 43.49%; CAAAA: 0.74%
Indica I  595 1.70% 0.00% 0.50% 94.96% TAAA: 2.86%
Indica II  465 3.90% 12.90% 1.29% 78.06% TAAA: 3.87%
Indica III  913 1.50% 41.30% 0.99% 48.63% TAAA: 7.01%; CA: 0.55%
Indica Intermediate  786 4.70% 13.70% 2.42% 70.99% TAAA: 8.02%; CA: 0.13%
Temperate Japonica  767 84.00% 0.10% 8.47% 1.43% CAAAA: 3.65%; TAAA: 2.22%; CA: 0.13%
Tropical Japonica  504 63.90% 2.20% 2.38% 4.96% TAAA: 24.01%; CA: 1.98%; CAAAA: 0.60%
Japonica Intermediate  241 67.60% 0.00% 5.39% 8.71% TAAA: 13.69%; CAAAA: 3.32%; CA: 1.24%
VI/Aromatic  96 1.00% 0.00% 1.04% 1.04% CA: 83.33%; TAAA: 11.46%; C: 2.08%
Intermediate  90 48.90% 8.90% 3.33% 26.67% TAAA: 8.89%; CA: 3.33%

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0502118673 CAAA -> TAAA LOC_Os05g04550.1 upstream_gene_variant ; 1368.0bp to feature; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> TAAA LOC_Os05g04550-LOC_Os05g04570 intergenic_region ; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> CAAAA LOC_Os05g04550.1 upstream_gene_variant ; 1372.0bp to feature; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> CAAAA LOC_Os05g04550-LOC_Os05g04570 intergenic_region ; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> DEL N N silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> CA LOC_Os05g04550.1 upstream_gene_variant ; 1370.0bp to feature; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> CA LOC_Os05g04550-LOC_Os05g04570 intergenic_region ; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> CAA LOC_Os05g04550.1 upstream_gene_variant ; 1371.0bp to feature; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> CAA LOC_Os05g04550-LOC_Os05g04570 intergenic_region ; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> C LOC_Os05g04550.1 upstream_gene_variant ; 1369.0bp to feature; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 N N N N
vg0502118673 CAAA -> C LOC_Os05g04550-LOC_Os05g04570 intergenic_region ; MODIFIER silent_mutation Average:77.24; most accessible tissue: Zhenshan97 flower, score: 98.458 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)
vg0502118673 CAAA C -0.17 -0.26 -0.08 -0.05 -0.11 -0.15
vg0502118673 CAAA CA -0.15 -0.1 0.02 0.0 -0.08 -0.18
vg0502118673 CAAA CAA -0.15 -0.09 -0.04 0.01 -0.08 -0.17
vg0502118673 CAAA CAAAA -0.07 -0.03 -0.02 0.0 0.0 0.06
vg0502118673 CAAA TAAA -0.03 -0.03 0.0 0.0 -0.01 -0.04

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0502118673 NA 6.02E-07 mr1227 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
vg0502118673 NA 6.56E-13 mr1667 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
vg0502118673 NA 2.73E-06 mr1681 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
vg0502118673 NA 3.61E-08 mr1030_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
vg0502118673 NA 7.55E-06 mr1030_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
vg0502118673 NA 3.15E-26 mr1149_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
vg0502118673 9.77E-06 NA mr1218_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
vg0502118673 NA 1.19E-27 mr1441_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
vg0502118673 NA 1.62E-07 mr1748_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
vg0502118673 NA 3.71E-10 mr1756_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
vg0502118673 NA 1.07E-07 mr1837_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
vg0502118673 4.74E-07 1.44E-07 mr1957_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
vg0502118673 8.67E-06 8.67E-06 mr1957_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