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Detailed information for vg0827750460:

Variant ID: vg0827750460 (JBrowse)Variation Type: SNP
Chromosome: chr08Position: 27750460
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.99, A: 0.02, others allele: 0.00, population size: 86. )

Flanking Sequence (100 bp) in Reference Genome:


ATAGATTCGTCTCGCGAATTAGTCCAAGATTATGGATGGATTTTATTAATAGTCTACGTTTAATATTTATAATTAGTGTTCAAACATCCGATGTGATAGG[G/A]
ACTTACAAGTTTTAGTCCCATCTAAACAGGATCTCAGGTCTATCGATGGCTAGCTAAAACAGCCAGTGCACTGTTCTTTTTAGAGCTATGCGCCGTGGTG

Reverse complement sequence

CACCACGGCGCATAGCTCTAAAAAGAACAGTGCACTGGCTGTTTTAGCTAGCCATCGATAGACCTGAGATCCTGTTTAGATGGGACTAAAACTTGTAAGT[C/T]
CCTATCACATCGGATGTTTGAACACTAATTATAAATATTAAACGTAGACTATTAATAAAATCCATCCATAATCTTGGACTAATTCGCGAGACGAATCTAT

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 64.00% 30.20% 3.49% 2.31% NA
All Indica  2759 49.40% 40.90% 5.91% 3.81% NA
All Japonica  1512 99.00% 0.80% 0.00% 0.20% NA
Aus  269 1.10% 98.90% 0.00% 0.00% NA
Indica I  595 18.70% 76.60% 3.19% 1.51% NA
Indica II  465 64.30% 27.70% 4.30% 3.66% NA
Indica III  913 58.40% 31.70% 4.71% 5.26% NA
Indica Intermediate  786 53.40% 32.30% 10.31% 3.94% NA
Temperate Japonica  767 99.20% 0.70% 0.00% 0.13% NA
Tropical Japonica  504 99.00% 1.00% 0.00% 0.00% NA
Japonica Intermediate  241 98.30% 0.80% 0.00% 0.83% NA
VI/Aromatic  96 93.80% 6.20% 0.00% 0.00% NA
Intermediate  90 77.80% 18.90% 2.22% 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
vg0827750460 G -> A LOC_Os08g44060-LOC_Os08g44070 intergenic_region ; MODIFIER silent_mutation Average:62.935; most accessible tissue: Minghui63 panicle, score: 97.102 N N N N
vg0827750460 G -> DEL N N silent_mutation Average:62.935; most accessible tissue: Minghui63 panicle, score: 97.102 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)
vg0827750460 G A -0.12 -0.17 -0.09 -0.08 -0.19 -0.16

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0827750460 NA 5.11E-10 Heading_date Ind_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
vg0827750460 NA 4.72E-06 mr1006 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
vg0827750460 NA 3.26E-06 mr1028 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
vg0827750460 NA 5.82E-06 mr1052 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
vg0827750460 NA 7.70E-11 mr1307 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
vg0827750460 NA 1.43E-08 mr1986 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
vg0827750460 6.09E-06 1.20E-11 mr1265_2 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
vg0827750460 NA 4.08E-09 mr1265_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
vg0827750460 NA 5.45E-11 mr1528_2 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
vg0827750460 NA 3.97E-07 mr1528_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