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Detailed information for vg0207045229:

Variant ID: vg0207045229 (JBrowse)Variation Type: SNP
Chromosome: chr02Position: 7045229
Reference Allele: CAlternative Allele: G
Primary Allele: GSecondary Allele: C

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


ATGAAGGCCGCGGCCACCGCGGCCGTGCCGGCGAGCGCTGGCCCCGCCACGGCGAGGCCCTTGTTGAGGCCGAGGACCATCTTGCCGACCGTGATGTACT[C/G]
GTGCTCGTCCTTGGCCTTGATGACGCGGAGGATGCCGCGCATCTCCTCCTCCAGCTCCGGCGTCCAGCCGTTGCCGCGTGCGCCGCGGCGGCGGCTGCTG

Reverse complement sequence

CAGCAGCCGCCGCCGCGGCGCACGCGGCAACGGCTGGACGCCGGAGCTGGAGGAGGAGATGCGCGGCATCCTCCGCGTCATCAAGGCCAAGGACGAGCAC[G/C]
AGTACATCACGGTCGGCAAGATGGTCCTCGGCCTCAACAAGGGCCTCGCCGTGGCGGGGCCAGCGCTCGCCGGCACGGCCGCGGTGGCCGCGGCCTTCAT

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of C(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 60.40% 34.60% 4.82% 0.15% NA
All Indica  2759 73.10% 24.70% 2.17% 0.00% NA
All Japonica  1512 49.80% 39.20% 10.52% 0.46% NA
Aus  269 1.50% 97.80% 0.74% 0.00% NA
Indica I  595 71.30% 24.70% 4.03% 0.00% NA
Indica II  465 73.10% 24.50% 2.37% 0.00% NA
Indica III  913 82.90% 16.40% 0.66% 0.00% NA
Indica Intermediate  786 63.20% 34.40% 2.42% 0.00% NA
Temperate Japonica  767 21.40% 69.20% 9.13% 0.26% NA
Tropical Japonica  504 81.90% 4.40% 12.90% 0.79% NA
Japonica Intermediate  241 73.00% 16.60% 9.96% 0.41% NA
VI/Aromatic  96 31.20% 64.60% 4.17% 0.00% NA
Intermediate  90 55.60% 41.10% 3.33% 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
vg0207045229 C -> G LOC_Os02g13220.1 missense_variant ; p.Glu292Gln; MODERATE nonsynonymous_codon ; E292Q Average:75.649; most accessible tissue: Zhenshan97 flower, score: 89.174 benign 0.408 TOLERATED 0.37
vg0207045229 C -> DEL LOC_Os02g13220.1 N frameshift_variant Average:75.649; most accessible tissue: Zhenshan97 flower, score: 89.174 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)
vg0207045229 C G -0.01 -0.01 -0.02 0.0 -0.01 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0207045229 NA 3.20E-09 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
vg0207045229 NA 1.76E-06 mr1229 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
vg0207045229 NA 5.11E-10 mr1486 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
vg0207045229 NA 3.81E-12 mr1540 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
vg0207045229 NA 3.75E-06 mr1608 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
vg0207045229 NA 4.26E-07 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
vg0207045229 NA 8.56E-10 mr1530_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
vg0207045229 NA 1.57E-06 mr1629_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
vg0207045229 NA 2.58E-06 mr1743_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