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Detailed information for vg0516079925:

Variant ID: vg0516079925 (JBrowse)Variation Type: SNP
Chromosome: chr05Position: 16079925
Reference Allele: GAlternative Allele: A
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.97, A: 0.03, others allele: 0.00, population size: 88. )

Flanking Sequence (100 bp) in Reference Genome:


AAAAGGTGGGACCCACCTGTCATACGCTCTCTCTCTCACTCTTCCTCTCTCTTCCTCTCTCTCTCACGGTCAGTGGTAGGCTGGGGCAGCGGCTGAGGGC[G/A]
GTGACCTCAGCGCGGAGGCGGCGGCGGAGGCGTCGCCGGTGGTGGTGCTACCGCCGCGTCGCCGCTCGGCCTAGACGAGGAGGAGGGGATGGGGAGGACG

Reverse complement sequence

CGTCCTCCCCATCCCCTCCTCCTCGTCTAGGCCGAGCGGCGACGCGGCGGTAGCACCACCACCGGCGACGCCTCCGCCGCCGCCTCCGCGCTGAGGTCAC[C/T]
GCCCTCAGCCGCTGCCCCAGCCTACCACTGACCGTGAGAGAGAGAGGAAGAGAGAGGAAGAGTGAGAGAGAGAGCGTATGACAGGTGGGTCCCACCTTTT

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 50.30% 49.50% 0.21% 0.00% NA
All Indica  2759 64.40% 35.40% 0.22% 0.00% NA
All Japonica  1512 24.60% 75.30% 0.07% 0.00% NA
Aus  269 37.50% 62.50% 0.00% 0.00% NA
Indica I  595 66.60% 33.30% 0.17% 0.00% NA
Indica II  465 65.60% 34.40% 0.00% 0.00% NA
Indica III  913 62.90% 37.00% 0.11% 0.00% NA
Indica Intermediate  786 63.90% 35.60% 0.51% 0.00% NA
Temperate Japonica  767 6.80% 93.20% 0.00% 0.00% NA
Tropical Japonica  504 53.80% 46.20% 0.00% 0.00% NA
Japonica Intermediate  241 20.30% 79.30% 0.41% 0.00% NA
VI/Aromatic  96 84.40% 15.60% 0.00% 0.00% NA
Intermediate  90 51.10% 45.60% 3.33% 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
vg0516079925 G -> A LOC_Os05g27630.1 upstream_gene_variant ; 2839.0bp to feature; MODIFIER silent_mutation Average:77.607; most accessible tissue: Minghui63 young leaf, score: 88.992 N N N N
vg0516079925 G -> A LOC_Os05g27640.1 downstream_gene_variant ; 328.0bp to feature; MODIFIER silent_mutation Average:77.607; most accessible tissue: Minghui63 young leaf, score: 88.992 N N N N
vg0516079925 G -> A LOC_Os05g27630-LOC_Os05g27640 intergenic_region ; MODIFIER silent_mutation Average:77.607; most accessible tissue: Minghui63 young leaf, score: 88.992 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)
vg0516079925 G A 0.08 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
vg0516079925 NA 1.17E-12 Grain_thickness Jap_All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0516079925 NA 3.33E-15 Grain_width Jap_All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0516079925 NA 2.62E-10 mr1235 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
vg0516079925 NA 2.28E-11 mr1410 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
vg0516079925 NA 1.53E-06 mr1422 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
vg0516079925 NA 7.13E-08 mr1423 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
vg0516079925 NA 1.39E-16 mr1699 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
vg0516079925 NA 1.34E-14 mr1771 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
vg0516079925 NA 4.32E-12 mr1784 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
vg0516079925 NA 1.90E-08 mr1800 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
vg0516079925 NA 9.69E-08 mr1800 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
vg0516079925 NA 5.07E-08 mr1862 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
vg0516079925 NA 2.63E-16 mr1699_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