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Detailed information for vg0614798821:

Variant ID: vg0614798821 (JBrowse)Variation Type: SNP
Chromosome: chr06Position: 14798821
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.99, others allele: 0.00, population size: 304. )

Flanking Sequence (100 bp) in Reference Genome:


TCGCAGGTGTTGATAGCAGCACGGTTGGCATAGAACCACTGCTTCGCTCTCTTGAGGAGGGAGAACGGAAACAGTCGCAGTCTGACGGCATCAGGACTGA[C/T]
GCCCTTGATGGTGTACGTGCTACATATCTCCAGGAATTGTTGCATATGAGCGTTGGCATCCTCATTAGGCTTGCCACAGAACGGGCTAGCCTGCGCCATC

Reverse complement sequence

GATGGCGCAGGCTAGCCCGTTCTGTGGCAAGCCTAATGAGGATGCCAACGCTCATATGCAACAATTCCTGGAGATATGTAGCACGTACACCATCAAGGGC[G/A]
TCAGTCCTGATGCCGTCAGACTGCGACTGTTTCCGTTCTCCCTCCTCAAGAGAGCGAAGCAGTGGTTCTATGCCAACCGTGCTGCTATCAACACCTGCGA

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 93.60% 1.00% 4.42% 0.97% NA
All Indica  2759 89.70% 1.40% 7.21% 1.63% NA
All Japonica  1512 99.20% 0.40% 0.40% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 99.70% 0.20% 0.17% 0.00% NA
Indica II  465 91.00% 3.20% 5.59% 0.22% NA
Indica III  913 79.20% 1.30% 15.44% 4.05% NA
Indica Intermediate  786 93.80% 1.40% 3.94% 0.89% NA
Temperate Japonica  767 98.70% 0.80% 0.52% 0.00% NA
Tropical Japonica  504 99.80% 0.00% 0.20% 0.00% NA
Japonica Intermediate  241 99.60% 0.00% 0.41% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 90.00% 4.40% 4.44% 1.11% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0614798821 C -> T LOC_Os06g25280.1 missense_variant ; p.Val72Ile; MODERATE nonsynonymous_codon ; V72I Average:67.831; most accessible tissue: Zhenshan97 flag leaf, score: 86.452 benign 0.621 DELETERIOUS 0.05
vg0614798821 C -> DEL LOC_Os06g25280.1 N frameshift_variant Average:67.831; most accessible tissue: Zhenshan97 flag leaf, score: 86.452 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)
vg0614798821 C T -0.02 -0.02 -0.02 -0.02 -0.02 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0614798821 4.79E-07 NA mr1068 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
vg0614798821 3.12E-07 2.36E-09 mr1090 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
vg0614798821 1.02E-07 3.67E-10 mr1121 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
vg0614798821 3.11E-06 NA mr1144 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
vg0614798821 1.76E-07 2.69E-10 mr1211 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
vg0614798821 3.65E-09 NA mr1068_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
vg0614798821 6.51E-10 1.19E-09 mr1090_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
vg0614798821 4.61E-07 NA mr1111_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
vg0614798821 4.95E-09 2.84E-10 mr1121_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
vg0614798821 1.28E-06 NA mr1144_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
vg0614798821 2.92E-07 NA mr1200_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
vg0614798821 7.34E-10 2.13E-11 mr1211_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