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Detailed information for vg0607988536:

Variant ID: vg0607988536 (JBrowse)Variation Type: SNP
Chromosome: chr06Position: 7988536
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.63, A: 0.37, others allele: 0.00, population size: 93. )

Flanking Sequence (100 bp) in Reference Genome:


AAAATGAAGGGGGGTTCCACTCGCTTACTTTACTCTGGTTTGAATCAAATTTAGCTTGATACGGGTGCCTAAGTTTATACTGACGGGGTATATATATGGC[G/A]
AAAATAGATAAACTATAGGTAATTTTTTTTGAATCGGGTTCCTGGGCACCCCCTAGCTATATTAGCTCCACCCCTGCCAGTGAGTAGGGAAGAAAATAGT

Reverse complement sequence

ACTATTTTCTTCCCTACTCACTGGCAGGGGTGGAGCTAATATAGCTAGGGGGTGCCCAGGAACCCGATTCAAAAAAAATTACCTATAGTTTATCTATTTT[C/T]
GCCATATATATACCCCGTCAGTATAAACTTAGGCACCCGTATCAAGCTAAATTTGATTCAAACCAGAGTAAAGTAAGCGAGTGGAACCCCCCTTCATTTT

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 66.90% 33.00% 0.04% 0.00% NA
All Indica  2759 61.40% 38.50% 0.04% 0.00% NA
All Japonica  1512 84.40% 15.60% 0.00% 0.00% NA
Aus  269 9.30% 90.70% 0.00% 0.00% NA
Indica I  595 38.70% 61.30% 0.00% 0.00% NA
Indica II  465 92.90% 7.10% 0.00% 0.00% NA
Indica III  913 58.30% 41.70% 0.00% 0.00% NA
Indica Intermediate  786 63.70% 36.10% 0.13% 0.00% NA
Temperate Japonica  767 73.90% 26.10% 0.00% 0.00% NA
Tropical Japonica  504 99.60% 0.40% 0.00% 0.00% NA
Japonica Intermediate  241 85.90% 14.10% 0.00% 0.00% NA
VI/Aromatic  96 93.80% 6.20% 0.00% 0.00% NA
Intermediate  90 86.70% 12.20% 1.11% 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
vg0607988536 G -> A LOC_Os06g14324.2 upstream_gene_variant ; 587.0bp to feature; MODIFIER silent_mutation Average:92.444; most accessible tissue: Minghui63 flag leaf, score: 96.892 N N N N
vg0607988536 G -> A LOC_Os06g14310.1 downstream_gene_variant ; 4677.0bp to feature; MODIFIER silent_mutation Average:92.444; most accessible tissue: Minghui63 flag leaf, score: 96.892 N N N N
vg0607988536 G -> A LOC_Os06g14340.1 downstream_gene_variant ; 3486.0bp to feature; MODIFIER silent_mutation Average:92.444; most accessible tissue: Minghui63 flag leaf, score: 96.892 N N N N
vg0607988536 G -> A LOC_Os06g14324.1 intron_variant ; MODIFIER silent_mutation Average:92.444; most accessible tissue: Minghui63 flag leaf, score: 96.892 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)
vg0607988536 G A -0.03 -0.03 -0.02 -0.02 -0.02 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0607988536 NA 6.87E-07 mr1157 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
vg0607988536 NA 3.30E-07 mr1328 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
vg0607988536 NA 7.91E-06 mr1328 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
vg0607988536 NA 1.29E-06 mr1662 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
vg0607988536 NA 3.31E-06 mr1090_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
vg0607988536 NA 4.72E-07 mr1170_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
vg0607988536 NA 3.89E-06 mr1278_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
vg0607988536 4.63E-06 NA mr1550_2 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
vg0607988536 4.16E-09 6.00E-12 mr1668_2 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
vg0607988536 NA 9.84E-06 mr1702_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
vg0607988536 9.93E-06 9.93E-06 mr1711_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
vg0607988536 6.79E-06 NA mr1754_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
vg0607988536 NA 1.06E-08 mr1829_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