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Detailed information for vg0610912643:

Variant ID: vg0610912643 (JBrowse)Variation Type: SNP
Chromosome: chr06Position: 10912643
Reference Allele: TAlternative Allele: C
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 0.93, C: 0.06, others allele: 0.00, population size: 263. )

Flanking Sequence (100 bp) in Reference Genome:


GTGTCTGGCAGAATACCGAGGCCGGGCACCTCGCCGGTGAGTCCATCATCCGAGATACGTACTATCCCCGGTACCTTGTTTTCTTCTACTGCAATGCGGC[T/C]
GCATTTGCTTTGTCCATTGTGGTCATCATCCTCATCCTCATCCTTGCCGTCGTACACGAGAAGGAAGAGCTATGGATCTCCATGATCCCACTGCGGGTGG

Reverse complement sequence

CCACCCGCAGTGGGATCATGGAGATCCATAGCTCTTCCTTCTCGTGTACGACGGCAAGGATGAGGATGAGGATGATGACCACAATGGACAAAGCAAATGC[A/G]
GCCGCATTGCAGTAGAAGAAAACAAGGTACCGGGGATAGTACGTATCTCGGATGATGGACTCACCGGCGAGGTGCCCGGCCTCGGTATTCTGCCAGACAC

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of C(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 79.70% 12.80% 0.89% 6.60% NA
All Indica  2759 79.50% 10.10% 0.98% 9.39% NA
All Japonica  1512 76.10% 19.80% 0.99% 3.17% NA
Aus  269 98.50% 1.50% 0.00% 0.00% NA
Indica I  595 90.90% 5.40% 0.84% 2.86% NA
Indica II  465 84.10% 10.10% 0.22% 5.59% NA
Indica III  913 69.90% 13.00% 1.97% 15.12% NA
Indica Intermediate  786 79.40% 10.30% 0.38% 9.92% NA
Temperate Japonica  767 65.20% 28.70% 0.52% 5.61% NA
Tropical Japonica  504 85.30% 13.30% 0.99% 0.40% NA
Japonica Intermediate  241 91.30% 5.00% 2.49% 1.24% NA
VI/Aromatic  96 89.60% 10.40% 0.00% 0.00% NA
Intermediate  90 81.10% 13.30% 0.00% 5.56% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0610912643 T -> C LOC_Os06g19170.1 synonymous_variant ; p.Ala79Ala; LOW synonymous_codon Average:86.619; most accessible tissue: Minghui63 flag leaf, score: 94.633 N N N N
vg0610912643 T -> DEL LOC_Os06g19170.1 N frameshift_variant Average:86.619; most accessible tissue: Minghui63 flag leaf, score: 94.633 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)
vg0610912643 T C 0.04 0.03 0.01 0.03 0.03 0.03

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0610912643 8.10E-06 NA mr1087 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
vg0610912643 NA 1.85E-06 mr1124 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
vg0610912643 1.17E-06 NA mr1218 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
vg0610912643 2.14E-06 3.24E-07 mr1218 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
vg0610912643 5.60E-06 NA mr1221 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
vg0610912643 4.98E-06 4.76E-09 mr1221 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
vg0610912643 NA 2.38E-06 mr1242 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
vg0610912643 NA 1.48E-06 mr1422 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
vg0610912643 3.92E-06 NA mr1583 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
vg0610912643 NA 2.31E-09 mr1583 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
vg0610912643 NA 9.75E-06 mr1875 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
vg0610912643 NA 1.23E-06 mr1993 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
vg0610912643 8.58E-06 8.20E-08 mr1993 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
vg0610912643 6.74E-06 NA mr1067_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
vg0610912643 2.79E-08 NA mr1087_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
vg0610912643 NA 5.41E-09 mr1124_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
vg0610912643 8.00E-06 NA mr1583_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
vg0610912643 NA 1.06E-06 mr1946_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
vg0610912643 NA 1.06E-06 mr1948_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
vg0610912643 NA 8.79E-08 mr1977_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
vg0610912643 NA 4.69E-06 mr1980_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