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Detailed information for vg0142429070:

Variant ID: vg0142429070 (JBrowse)Variation Type: INDEL
Chromosome: chr01Position: 42429070
Reference Allele: TAlternative Allele: A,TCCA
Primary Allele: TSecondary Allele: A

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 1.00, others allele: 0.00, population size: 250. )

Flanking Sequence (100 bp) in Reference Genome:


AATTGTCCTGAAAGCTCTGTGACCGAACCAATGTCTTTGGATCTTTTATTCTGTGGTGTTTCAGGAAAAGAAAATTAAGCTAGAAAGAGGATTGCTCACT[T/A,TCCA]
CCACATACGTGCCGCTTTCACAGGGAGACGACATGGATAAAAATCATCAGTGACAACACAAGGATGAACTGAAGAGACTGAACTAGAGAGACAGAGAACG

Reverse complement sequence

CGTTCTCTGTCTCTCTAGTTCAGTCTCTTCAGTTCATCCTTGTGTTGTCACTGATGATTTTTATCCATGTCGTCTCCCTGTGAAAGCGGCACGTATGTGG[A/T,TGGA]
AGTGAGCAATCCTCTTTCTAGCTTAATTTTCTTTTCCTGAAACACCACAGAATAAAAGATCCAAAGACATTGGTTCGGTCACAGAGCTTTCAGGACAATT

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 91.30% 8.70% 0.00% 0.00% TCCA: 0.04%
All Indica  2759 99.70% 0.30% 0.00% 0.00% NA
All Japonica  1512 75.70% 24.30% 0.00% 0.00% NA
Aus  269 97.40% 2.60% 0.00% 0.00% NA
Indica I  595 100.00% 0.00% 0.00% 0.00% NA
Indica II  465 100.00% 0.00% 0.00% 0.00% NA
Indica III  913 99.70% 0.30% 0.00% 0.00% NA
Indica Intermediate  786 99.40% 0.60% 0.00% 0.00% NA
Temperate Japonica  767 80.40% 19.60% 0.00% 0.00% NA
Tropical Japonica  504 76.20% 23.80% 0.00% 0.00% NA
Japonica Intermediate  241 59.30% 40.70% 0.00% 0.00% NA
VI/Aromatic  96 80.20% 19.80% 0.00% 0.00% NA
Intermediate  90 88.90% 8.90% 0.00% 0.00% TCCA: 2.22%

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0142429070 T -> A LOC_Os01g73150.1 upstream_gene_variant ; 4206.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> A LOC_Os01g73160.1 upstream_gene_variant ; 1812.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> A LOC_Os01g73170.1 upstream_gene_variant ; 432.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> A LOC_Os01g73180.1 downstream_gene_variant ; 4831.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> A LOC_Os01g73160-LOC_Os01g73170 intergenic_region ; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> TCCA LOC_Os01g73150.1 upstream_gene_variant ; 4207.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> TCCA LOC_Os01g73160.1 upstream_gene_variant ; 1813.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> TCCA LOC_Os01g73170.1 upstream_gene_variant ; 431.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> TCCA LOC_Os01g73180.1 downstream_gene_variant ; 4830.0bp to feature; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 N N N N
vg0142429070 T -> TCCA LOC_Os01g73160-LOC_Os01g73170 intergenic_region ; MODIFIER silent_mutation Average:88.201; most accessible tissue: Zhenshan97 young leaf, score: 95.576 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)
vg0142429070 T A 0.03 0.01 -0.01 0.02 0.04 0.08
vg0142429070 T TCCA 0.1 -0.16 -0.23 -0.04 -0.22 -0.45

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0142429070 NA 9.44E-06 mr1807 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
vg0142429070 NA 2.06E-07 mr1215_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
vg0142429070 7.67E-06 NA mr1301_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
vg0142429070 NA 3.63E-07 mr1418_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
vg0142429070 NA 7.06E-07 mr1453_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
vg0142429070 NA 2.74E-09 mr1506_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
vg0142429070 NA 6.59E-06 mr1556_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
vg0142429070 NA 3.38E-07 mr1574_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
vg0142429070 NA 7.84E-06 mr1759_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
vg0142429070 NA 4.41E-06 mr1779_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
vg0142429070 NA 3.70E-07 mr1824_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
vg0142429070 NA 5.07E-06 mr1992_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
vg0142429070 8.58E-07 NA mr1993_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