Search for Variation information by Variation ID:

Please input a variation ID (e.g., vg0722097923 , STR0500036000 ).

Detailed information for vg0800649368:

Variant ID: vg0800649368 (JBrowse)Variation Type: INDEL
Chromosome: chr08Position: 649368
Reference Allele: CAlternative Allele: T,CGCTGCCTACTTATAATCCCAGGTTTCCTTATTAAATCT
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.82, T: 0.17, others allele: 0.00, population size: 107. )

Flanking Sequence (100 bp) in Reference Genome:


CTATATCCAAAACACATACAATTATAAATTTACCACTGATTTAAATTGCACGTTATTAAATCCGCTGCCTACTTATAATCCAAGGTTTCCTTATTAAATC[C/T,CGCTGCCTACTTATAATCCCAGGTTTCCTTATTAAATCT]
GCTGCCTACTTATAATCCCAGGTTTCCTTTGAAACGAAGAAAAAGGGAAGAATATTTGGTGGGATTTGTTAAGTAAGAAAAAAAATCCAATGAAATCCTT

Reverse complement sequence

AAGGATTTCATTGGATTTTTTTTCTTACTTAACAAATCCCACCAAATATTCTTCCCTTTTTCTTCGTTTCAAAGGAAACCTGGGATTATAAGTAGGCAGC[G/A,AGATTTAATAAGGAAACCTGGGATTATAAGTAGGCAGCG]
GATTTAATAAGGAAACCTTGGATTATAAGTAGGCAGCGGATTTAATAACGTGCAATTTAAATCAGTGGTAAATTTATAATTGTATGTGTTTTGGATATAG

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 89.10% 7.40% 2.86% 0.57% CGCTGCCTACTTATAATCCCAGGTTTCCTTATTAAATCT: 0.02%
All Indica  2759 82.30% 12.00% 4.68% 0.94% CGCTGCCTACTTATAATCCCAGGTTTCCTTATTAAATCT: 0.04%
All Japonica  1512 99.00% 0.60% 0.33% 0.07% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 88.20% 7.40% 4.20% 0.17% NA
Indica II  465 51.00% 32.70% 13.12% 3.01% CGCTGCCTACTTATAATCCCAGGTTTCCTTATTAAATCT: 0.22%
Indica III  913 94.00% 4.80% 0.44% 0.77% NA
Indica Intermediate  786 82.80% 11.70% 4.96% 0.51% NA
Temperate Japonica  767 98.70% 0.80% 0.39% 0.13% NA
Tropical Japonica  504 99.40% 0.20% 0.40% 0.00% NA
Japonica Intermediate  241 99.20% 0.80% 0.00% 0.00% NA
VI/Aromatic  96 97.90% 1.00% 1.04% 0.00% NA
Intermediate  90 88.90% 11.10% 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
vg0800649368 C -> T LOC_Os08g02010.1 upstream_gene_variant ; 824.0bp to feature; MODIFIER silent_mutation Average:74.837; most accessible tissue: Minghui63 root, score: 91.863 N N N N
vg0800649368 C -> T LOC_Os08g02020.1 downstream_gene_variant ; 3289.0bp to feature; MODIFIER silent_mutation Average:74.837; most accessible tissue: Minghui63 root, score: 91.863 N N N N
vg0800649368 C -> T LOC_Os08g02010-LOC_Os08g02020 intergenic_region ; MODIFIER silent_mutation Average:74.837; most accessible tissue: Minghui63 root, score: 91.863 N N N N
vg0800649368 C -> CGCTGCCTACTTATAATCCCAGGTTTCCTT ATTAAATCT LOC_Os08g02010.1 upstream_gene_variant ; 825.0bp to feature; MODIFIER silent_mutation Average:74.837; most accessible tissue: Minghui63 root, score: 91.863 N N N N
vg0800649368 C -> CGCTGCCTACTTATAATCCCAGGTTTCCTT ATTAAATCT LOC_Os08g02020.1 downstream_gene_variant ; 3288.0bp to feature; MODIFIER silent_mutation Average:74.837; most accessible tissue: Minghui63 root, score: 91.863 N N N N
vg0800649368 C -> CGCTGCCTACTTATAATCCCAGGTTTCCTT ATTAAATCT LOC_Os08g02010-LOC_Os08g02020 intergenic_region ; MODIFIER silent_mutation Average:74.837; most accessible tissue: Minghui63 root, score: 91.863 N N N N
vg0800649368 C -> DEL N N silent_mutation Average:74.837; most accessible tissue: Minghui63 root, score: 91.863 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)
vg0800649368 C CGCTG* 0.17 0.44 0.43 0.15 0.2 0.22
vg0800649368 C T -0.01 -0.01 -0.02 -0.02 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0800649368 NA 2.82E-06 mr1069 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
vg0800649368 1.98E-09 NA mr1138 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
vg0800649368 6.31E-08 NA mr1138 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
vg0800649368 NA 2.71E-06 mr1149 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
vg0800649368 NA 5.54E-06 mr1195 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
vg0800649368 4.91E-06 NA mr1301 Ind_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
vg0800649368 NA 1.75E-09 mr1352 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
vg0800649368 NA 5.86E-06 mr1352 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
vg0800649368 NA 1.52E-06 mr1441 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
vg0800649368 NA 1.53E-06 mr1735 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
vg0800649368 5.46E-08 NA mr1138_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
vg0800649368 5.23E-07 NA mr1138_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
vg0800649368 NA 1.31E-08 mr1327_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
vg0800649368 NA 7.97E-07 mr1874_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