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Search for Variation information by Variation ID:

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

Detailed information for vg0607146466:

Variant ID: vg0607146466 (JBrowse)Variation Type: SNP
Chromosome: chr06Position: 7146466
Reference Allele: GAlternative Allele: A,T
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


ACAGAAGCCAACTTGATTAGCGTTGTGTGTACATCAGCTTACTTGATTAGCAAAAACATTGCCTTTGTTCTATCACCTGTTCCTAAGGGCAAGTGCTATG[G/A,T]
TAGATGTGACTACCATCTCCAAATTTATCTATTTTATTCACTCATGAATTAAGATGCAACACATACAATATATCGTATTTGGTACACAAATACAAATATT

Reverse complement sequence

AATATTTGTATTTGTGTACCAAATACGATATATTGTATGTGTTGCATCTTAATTCATGAGTGAATAAAATAGATAAATTTGGAGATGGTAGTCACATCTA[C/T,A]
CATAGCACTTGCCCTTAGGAACAGGTGATAGAACAAAGGCAATGTTTTTGCTAATCAAGTAAGCTGATGTACACACAACGCTAATCAAGTTGGCTTCTGT

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 38.40% 12.30% 0.11% 40.31% T: 8.80%
All Indica  2759 8.90% 11.20% 0.18% 64.99% T: 14.75%
All Japonica  1512 98.30% 0.50% 0.00% 1.12% T: 0.07%
Aus  269 4.80% 94.40% 0.00% 0.74% NA
Indica I  595 1.30% 30.80% 0.34% 64.71% T: 2.86%
Indica II  465 4.50% 5.60% 0.65% 88.82% T: 0.43%
Indica III  913 12.50% 2.70% 0.00% 50.38% T: 34.39%
Indica Intermediate  786 13.00% 9.50% 0.00% 68.07% T: 9.41%
Temperate Japonica  767 98.80% 0.40% 0.00% 0.78% NA
Tropical Japonica  504 98.80% 0.40% 0.00% 0.60% T: 0.20%
Japonica Intermediate  241 95.90% 0.80% 0.00% 3.32% NA
VI/Aromatic  96 24.00% 6.20% 0.00% 67.71% T: 2.08%
Intermediate  90 54.40% 7.80% 0.00% 31.11% T: 6.67%

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0607146466 G -> T LOC_Os06g13040.1 upstream_gene_variant ; 392.0bp to feature; MODIFIER silent_mutation Average:76.297; most accessible tissue: Zhenshan97 flower, score: 93.319 N N N N
vg0607146466 G -> T LOC_Os06g13050.1 downstream_gene_variant ; 2495.0bp to feature; MODIFIER silent_mutation Average:76.297; most accessible tissue: Zhenshan97 flower, score: 93.319 N N N N
vg0607146466 G -> T LOC_Os06g13040-LOC_Os06g13050 intergenic_region ; MODIFIER silent_mutation Average:76.297; most accessible tissue: Zhenshan97 flower, score: 93.319 N N N N
vg0607146466 G -> A LOC_Os06g13040.1 upstream_gene_variant ; 392.0bp to feature; MODIFIER silent_mutation Average:76.297; most accessible tissue: Zhenshan97 flower, score: 93.319 N N N N
vg0607146466 G -> A LOC_Os06g13050.1 downstream_gene_variant ; 2495.0bp to feature; MODIFIER silent_mutation Average:76.297; most accessible tissue: Zhenshan97 flower, score: 93.319 N N N N
vg0607146466 G -> A LOC_Os06g13040-LOC_Os06g13050 intergenic_region ; MODIFIER silent_mutation Average:76.297; most accessible tissue: Zhenshan97 flower, score: 93.319 N N N N
vg0607146466 G -> DEL N N silent_mutation Average:76.297; most accessible tissue: Zhenshan97 flower, score: 93.319 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)
vg0607146466 G A -0.01 -0.01 -0.02 -0.02 0.02 0.03
vg0607146466 G T 0.01 0.0 -0.01 -0.01 0.02 0.05

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0607146466 NA 2.12E-06 mr1006 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
vg0607146466 NA 3.00E-06 mr1052 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
vg0607146466 NA 2.53E-07 mr1060 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
vg0607146466 NA 6.73E-26 mr1168 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
vg0607146466 NA 2.32E-06 mr1184 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
vg0607146466 NA 1.27E-08 mr1222 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
vg0607146466 NA 3.34E-06 mr1289 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
vg0607146466 NA 2.61E-06 mr1397 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
vg0607146466 NA 1.67E-07 mr1420 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
vg0607146466 NA 1.36E-08 mr1442 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
vg0607146466 NA 6.20E-06 mr1544 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
vg0607146466 NA 8.42E-07 mr1556 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
vg0607146466 NA 1.02E-08 mr1764 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
vg0607146466 NA 4.75E-08 mr1942 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
vg0607146466 2.25E-06 2.24E-06 mr1978 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
vg0607146466 NA 9.06E-07 mr1577_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
vg0607146466 NA 1.03E-06 mr1803_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