Search for Variation information by Variation ID:

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

Detailed information for vg0904628790:

Variant ID: vg0904628790 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 4628790
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.89, T: 0.11, others allele: 0.00, population size: 107. )

Flanking Sequence (100 bp) in Reference Genome:


ACCTACCTACCCTGATCGCACTGGCGACCAGCGTGTCGCTGTCATTGCTCACCGTGTGGATGTTGTTCCTAGCCCACAACCTTGCCAAGTCTGTCGCTGG[C/T]
GTCGAGGCGACCATCCCGAGGTTCCTCGACCTCACGCTGATCAAGTCGTTTAAGGCCGTGGTAGACAAGCTCGGGGAGAACGGCATCATGCACTCATGGT

Reverse complement sequence

ACCATGAGTGCATGATGCCGTTCTCCCCGAGCTTGTCTACCACGGCCTTAAACGACTTGATCAGCGTGAGGTCGAGGAACCTCGGGATGGTCGCCTCGAC[G/A]
CCAGCGACAGACTTGGCAAGGTTGTGGGCTAGGAACAACATCCACACGGTGAGCAATGACAGCGACACGCTGGTCGCCAGTGCGATCAGGGTAGGTAGGT

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 77.50% 22.40% 0.06% 0.00% NA
All Indica  2759 88.20% 11.70% 0.07% 0.00% NA
All Japonica  1512 57.90% 42.10% 0.00% 0.00% NA
Aus  269 69.90% 30.10% 0.00% 0.00% NA
Indica I  595 71.30% 28.70% 0.00% 0.00% NA
Indica II  465 98.70% 1.30% 0.00% 0.00% NA
Indica III  913 92.00% 7.90% 0.11% 0.00% NA
Indica Intermediate  786 90.50% 9.40% 0.13% 0.00% NA
Temperate Japonica  767 38.90% 61.10% 0.00% 0.00% NA
Tropical Japonica  504 83.70% 16.30% 0.00% 0.00% NA
Japonica Intermediate  241 64.30% 35.70% 0.00% 0.00% NA
VI/Aromatic  96 96.90% 3.10% 0.00% 0.00% NA
Intermediate  90 83.30% 15.60% 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
vg0904628790 C -> T LOC_Os09g08770.1 synonymous_variant ; p.Gly173Gly; LOW synonymous_codon Average:69.737; most accessible tissue: Zhenshan97 young leaf, score: 93.722 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)
vg0904628790 C T -0.05 -0.03 -0.03 -0.06 -0.06 -0.06

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0904628790 NA 2.04E-09 mr1201 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
vg0904628790 NA 6.07E-10 mr1219 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
vg0904628790 NA 7.23E-10 mr1274 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
vg0904628790 4.89E-06 1.40E-07 mr1047_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
vg0904628790 1.55E-06 2.67E-08 mr1189_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
vg0904628790 NA 2.77E-07 mr1201_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
vg0904628790 NA 1.53E-07 mr1219_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
vg0904628790 NA 2.91E-09 mr1274_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
vg0904628790 NA 2.47E-06 mr1471_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
vg0904628790 NA 6.60E-06 mr1642_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
vg0904628790 NA 1.19E-06 mr1722_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