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Detailed information for vg1020162838:

Variant ID: vg1020162838 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 20162838
Reference Allele: AAlternative Allele: G
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


TCCCGCCGCGTCCCCTCGAAACTCAGGGCCTGTTTGGTTTCCAGGACTTATTATAAGTCCCTATCACATCGGATGTTTGGACACTAATTTGGAGTATTAA[A/G]
CATACACTAATTATAAAACTCATTCCATATCCTTGGACTAATTCGCGAGACGAATCTTTTAAGTCTAATTACGTTATGATTTTGACAATGTGATGCTACA

Reverse complement sequence

TGTAGCATCACATTGTCAAAATCATAACGTAATTAGACTTAAAAGATTCGTCTCGCGAATTAGTCCAAGGATATGGAATGAGTTTTATAATTAGTGTATG[T/C]
TTAATACTCCAAATTAGTGTCCAAACATCCGATGTGATAGGGACTTATAATAAGTCCTGGAAACCAAACAGGCCCTGAGTTTCGAGGGGACGCGGCGGGA

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 28.50% 14.10% 2.20% 55.12% NA
All Indica  2759 1.50% 15.10% 2.57% 80.86% NA
All Japonica  1512 79.20% 1.30% 1.85% 17.66% NA
Aus  269 0.40% 72.10% 1.12% 26.39% NA
Indica I  595 2.00% 2.20% 2.02% 93.78% NA
Indica II  465 0.60% 50.30% 1.29% 47.74% NA
Indica III  913 1.00% 1.80% 3.29% 93.98% NA
Indica Intermediate  786 2.20% 19.50% 2.93% 75.45% NA
Temperate Japonica  767 97.50% 1.30% 0.13% 1.04% NA
Tropical Japonica  504 46.20% 1.00% 5.16% 47.62% NA
Japonica Intermediate  241 90.00% 1.70% 0.41% 7.88% NA
VI/Aromatic  96 79.20% 18.80% 0.00% 2.08% NA
Intermediate  90 36.70% 23.30% 2.22% 37.78% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1020162838 A -> G LOC_Os10g37660.1 upstream_gene_variant ; 3657.0bp to feature; MODIFIER silent_mutation Average:64.001; most accessible tissue: Minghui63 root, score: 94.472 N N N N
vg1020162838 A -> G LOC_Os10g37670.1 upstream_gene_variant ; 404.0bp to feature; MODIFIER silent_mutation Average:64.001; most accessible tissue: Minghui63 root, score: 94.472 N N N N
vg1020162838 A -> G LOC_Os10g37680.1 upstream_gene_variant ; 851.0bp to feature; MODIFIER silent_mutation Average:64.001; most accessible tissue: Minghui63 root, score: 94.472 N N N N
vg1020162838 A -> G LOC_Os10g37690.1 upstream_gene_variant ; 3310.0bp to feature; MODIFIER silent_mutation Average:64.001; most accessible tissue: Minghui63 root, score: 94.472 N N N N
vg1020162838 A -> G LOC_Os10g37670-LOC_Os10g37680 intergenic_region ; MODIFIER silent_mutation Average:64.001; most accessible tissue: Minghui63 root, score: 94.472 N N N N
vg1020162838 A -> DEL N N silent_mutation Average:64.001; most accessible tissue: Minghui63 root, score: 94.472 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)
vg1020162838 A G 0.07 0.05 0.04 0.02 0.04 0.04

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1020162838 NA 2.06E-06 mr1174 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
vg1020162838 NA 4.79E-08 mr1180 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
vg1020162838 NA 1.80E-11 mr1232 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
vg1020162838 NA 8.59E-08 mr1557 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
vg1020162838 2.44E-06 2.44E-06 mr1562 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
vg1020162838 NA 4.79E-06 mr1598 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
vg1020162838 NA 6.52E-08 mr1659 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
vg1020162838 NA 4.83E-06 mr1659 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
vg1020162838 NA 2.21E-07 mr1174_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
vg1020162838 NA 4.35E-07 mr1180_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
vg1020162838 NA 6.10E-10 mr1232_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
vg1020162838 NA 2.76E-06 mr1232_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
vg1020162838 NA 1.08E-07 mr1347_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
vg1020162838 NA 6.43E-09 mr1557_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
vg1020162838 NA 3.02E-13 mr1598_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