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Detailed information for vg0610750218:

Variant ID: vg0610750218 (JBrowse)Variation Type: SNP
Chromosome: chr06Position: 10750218
Reference Allele: GAlternative Allele: C
Primary Allele: GSecondary Allele: C

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 1.00, others allele: 0.00, population size: 263. )

Flanking Sequence (100 bp) in Reference Genome:


CATATATGGGCCAAACATATACGGACAAACCAATTCCCTCGTGCTGAATGATGATCATCTACGTACATTGAGGAAATTTGGCACAAAGCTAAGGTGTTAC[G/C]
GACACTACTACAAAAACTCTCATAGAGATCGGCTCATAGGTGCCGGTTCATTTAAAACCGGCACCTATAGAGCTTTTCTCACCTCTCTACAGTGGAAAAA

Reverse complement sequence

TTTTTCCACTGTAGAGAGGTGAGAAAAGCTCTATAGGTGCCGGTTTTAAATGAACCGGCACCTATGAGCCGATCTCTATGAGAGTTTTTGTAGTAGTGTC[C/G]
GTAACACCTTAGCTTTGTGCCAAATTTCCTCAATGTACGTAGATGATCATCATTCAGCACGAGGGAATTGGTTTGTCCGTATATGTTTGGCCCATATATG

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 81.40% 17.90% 0.74% 0.00% NA
All Indica  2759 69.00% 29.70% 1.27% 0.00% NA
All Japonica  1512 99.60% 0.40% 0.00% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 84.00% 13.80% 2.18% 0.00% NA
Indica II  465 35.50% 61.10% 3.44% 0.00% NA
Indica III  913 78.60% 21.10% 0.22% 0.00% NA
Indica Intermediate  786 66.30% 33.20% 0.51% 0.00% NA
Temperate Japonica  767 99.50% 0.50% 0.00% 0.00% NA
Tropical Japonica  504 99.60% 0.40% 0.00% 0.00% NA
Japonica Intermediate  241 100.00% 0.00% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 77.80% 22.20% 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
vg0610750218 G -> C LOC_Os06g18920.1 downstream_gene_variant ; 508.0bp to feature; MODIFIER silent_mutation Average:74.035; most accessible tissue: Zhenshan97 young leaf, score: 82.539 N N N N
vg0610750218 G -> C LOC_Os06g18920-LOC_Os06g18930 intergenic_region ; MODIFIER silent_mutation Average:74.035; most accessible tissue: Zhenshan97 young leaf, score: 82.539 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)
vg0610750218 G C 0.01 0.01 0.0 0.0 0.01 0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0610750218 NA 3.09E-07 mr1877 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
vg0610750218 1.41E-06 NA mr1065_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
vg0610750218 8.80E-07 NA mr1065_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
vg0610750218 1.31E-07 NA mr1067_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
vg0610750218 3.28E-07 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
vg0610750218 2.49E-07 NA mr1087_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
vg0610750218 5.89E-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
vg0610750218 1.41E-06 NA mr1091_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
vg0610750218 5.52E-06 NA mr1091_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
vg0610750218 1.79E-06 NA mr1108_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
vg0610750218 3.68E-06 NA mr1108_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
vg0610750218 1.88E-06 NA mr1112_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
vg0610750218 1.34E-06 NA mr1112_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
vg0610750218 1.40E-06 NA mr1234_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
vg0610750218 6.40E-06 NA mr1234_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
vg0610750218 3.15E-07 NA mr1526_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
vg0610750218 8.10E-08 NA mr1526_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
vg0610750218 NA 5.69E-07 mr1559_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
vg0610750218 NA 4.62E-06 mr1559_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
vg0610750218 NA 6.15E-10 mr1600_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
vg0610750218 8.81E-06 3.88E-08 mr1600_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
vg0610750218 NA 1.57E-06 mr1942_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