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Detailed information for vg0627151716:

Variant ID: vg0627151716 (JBrowse)Variation Type: SNP
Chromosome: chr06Position: 27151716
Reference Allele: AAlternative Allele: C
Primary Allele: ASecondary Allele: C

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.72, C: 0.27, others allele: 0.00, population size: 200. )

Flanking Sequence (100 bp) in Reference Genome:


CGGCGCTCATCGCCCTCGCGGCGCTCGGATCCGCCGCCTCGGGGACGGCGTCCAAGTCGTCCTTCGTGAAATCCACCGTCAAAGCCCACGACGTCGTCAT[A/C]
TTCTCCAAGTCATACTGCCCGTACGGCCCCCCCTCTCCCATCTATCCTCTGTGCATTCCGCTTTACTGCTCTCGCTTAGCTTTTGCTGAGAATTTCGATT

Reverse complement sequence

AATCGAAATTCTCAGCAAAAGCTAAGCGAGAGCAGTAAAGCGGAATGCACAGAGGATAGATGGGAGAGGGGGGGCCGTACGGGCAGTATGACTTGGAGAA[T/G]
ATGACGACGTCGTGGGCTTTGACGGTGGATTTCACGAAGGACGACTTGGACGCCGTCCCCGAGGCGGCGGATCCGAGCGCCGCGAGGGCGATGAGCGCCG

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of C(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 59.10% 40.60% 0.11% 0.15% NA
All Indica  2759 35.00% 64.60% 0.18% 0.25% NA
All Japonica  1512 94.10% 5.90% 0.00% 0.00% NA
Aus  269 94.40% 5.60% 0.00% 0.00% NA
Indica I  595 6.40% 93.40% 0.17% 0.00% NA
Indica II  465 31.40% 68.00% 0.22% 0.43% NA
Indica III  913 51.30% 48.30% 0.22% 0.22% NA
Indica Intermediate  786 39.90% 59.50% 0.13% 0.38% NA
Temperate Japonica  767 99.60% 0.40% 0.00% 0.00% NA
Tropical Japonica  504 83.90% 16.10% 0.00% 0.00% NA
Japonica Intermediate  241 97.90% 2.10% 0.00% 0.00% NA
VI/Aromatic  96 97.90% 2.10% 0.00% 0.00% NA
Intermediate  90 62.20% 37.80% 0.00% 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
vg0627151716 A -> C LOC_Os06g44910.1 synonymous_variant ; p.Ile47Ile; LOW synonymous_codon Average:89.853; most accessible tissue: Zhenshan97 panicle, score: 92.66 N N N N
vg0627151716 A -> C LOC_Os06g44910.2 synonymous_variant ; p.Ile47Ile; LOW synonymous_codon Average:89.853; most accessible tissue: Zhenshan97 panicle, score: 92.66 N N N N
vg0627151716 A -> DEL LOC_Os06g44910.2 N frameshift_variant Average:89.853; most accessible tissue: Zhenshan97 panicle, score: 92.66 N N N N
vg0627151716 A -> DEL LOC_Os06g44910.1 N frameshift_variant Average:89.853; most accessible tissue: Zhenshan97 panicle, score: 92.66 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)
vg0627151716 A C 0.01 0.01 0.0 -0.02 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0627151716 NA 6.22E-07 mr1088 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
vg0627151716 NA 5.96E-06 mr1215 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
vg0627151716 NA 2.92E-18 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
vg0627151716 NA 3.68E-22 mr1422 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
vg0627151716 NA 4.61E-19 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
vg0627151716 NA 4.35E-15 mr1807 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
vg0627151716 NA 1.82E-07 mr1850 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
vg0627151716 NA 3.50E-25 mr1877 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
vg0627151716 NA 2.17E-09 mr1929 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
vg0627151716 NA 2.96E-06 mr1200_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
vg0627151716 NA 1.74E-07 mr1212_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
vg0627151716 NA 7.99E-21 mr1218_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
vg0627151716 NA 1.46E-15 mr1807_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
vg0627151716 NA 8.59E-15 mr1850_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