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Detailed information for vg0729013948:

Variant ID: vg0729013948 (JBrowse)Variation Type: SNP
Chromosome: chr07Position: 29013948
Reference Allele: AAlternative Allele: G,C
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


TTTAGTATAGTTACCAAAATTTTGGCAATTATAGTTACTAAAAATTGACAGCAAACTAAATGTAGCCACTTTTTTGACAACTTTATCAAAACTTGGTAAG[A/G,C]
TTGAAAATAAAATTAAAGTGAACATGCCCTTAATAAACTACTCCTACATACTTCATCCTATAATATAATCTATCCGTCTCGATTATAAGTTTAATTAAAT

Reverse complement sequence

ATTTAATTAAACTTATAATCGAGACGGATAGATTATATTATAGGATGAAGTATGTAGGAGTAGTTTATTAAGGGCATGTTCACTTTAATTTTATTTTCAA[T/C,G]
CTTACCAAGTTTTGATAAAGTTGTCAAAAAAGTGGCTACATTTAGTTTGCTGTCAATTTTTAGTAACTATAATTGCCAAAATTTTGGTAACTATACTAAA

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 84.30% 14.00% 1.65% 0.00% NA
All Indica  2759 99.80% 0.10% 0.07% 0.00% NA
All Japonica  1512 53.00% 42.30% 4.63% 0.00% NA
Aus  269 98.90% 0.00% 1.12% 0.00% NA
Indica I  595 99.80% 0.20% 0.00% 0.00% NA
Indica II  465 99.60% 0.00% 0.43% 0.00% NA
Indica III  913 100.00% 0.00% 0.00% 0.00% NA
Indica Intermediate  786 99.60% 0.40% 0.00% 0.00% NA
Temperate Japonica  767 25.20% 71.30% 3.52% 0.00% NA
Tropical Japonica  504 84.90% 7.10% 7.94% 0.00% NA
Japonica Intermediate  241 75.10% 23.70% 1.24% 0.00% NA
VI/Aromatic  96 99.00% 0.00% 1.04% 0.00% NA
Intermediate  90 76.70% 21.10% 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
vg0729013948 A -> G LOC_Os07g48510.1 upstream_gene_variant ; 696.0bp to feature; MODIFIER silent_mutation Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 N N N N
vg0729013948 A -> G LOC_Os07g48510.2 upstream_gene_variant ; 696.0bp to feature; MODIFIER silent_mutation Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 N N N N
vg0729013948 A -> G LOC_Os07g48500.1 downstream_gene_variant ; 4005.0bp to feature; MODIFIER silent_mutation Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 N N N N
vg0729013948 A -> G LOC_Os07g48510-LOC_Os07g48520 intergenic_region ; MODIFIER silent_mutation Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 N N N N
vg0729013948 A -> C LOC_Os07g48510.1 upstream_gene_variant ; 696.0bp to feature; MODIFIER N Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 N N N N
vg0729013948 A -> C LOC_Os07g48510.2 upstream_gene_variant ; 696.0bp to feature; MODIFIER N Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 N N N N
vg0729013948 A -> C LOC_Os07g48500.1 downstream_gene_variant ; 4005.0bp to feature; MODIFIER N Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 N N N N
vg0729013948 A -> C LOC_Os07g48510-LOC_Os07g48520 intergenic_region ; MODIFIER N Average:89.705; most accessible tissue: Minghui63 panicle, score: 95.757 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)
vg0729013948 A C 0.0 0.0 0.0 -0.01 0.0 0.0
vg0729013948 A G -0.01 -0.01 -0.01 -0.01 -0.01 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0729013948 NA 1.01E-33 mr1137 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
vg0729013948 NA 3.04E-12 mr1137 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
vg0729013948 NA 3.40E-06 mr1164 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
vg0729013948 NA 1.07E-06 mr1521 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
vg0729013948 NA 7.91E-29 mr1617 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
vg0729013948 NA 7.70E-10 mr1617 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
vg0729013948 NA 3.17E-06 mr1977 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
vg0729013948 NA 2.52E-35 mr1137_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
vg0729013948 NA 7.76E-11 mr1137_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
vg0729013948 NA 2.19E-06 mr1617_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
vg0729013948 3.76E-08 NA mr1679_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
vg0729013948 1.84E-06 NA mr1720_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
vg0729013948 NA 4.94E-06 mr1866_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