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Detailed information for vg0917111958:

Variant ID: vg0917111958 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 17111958
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


TATAATAGTTGCTTACTATACTATTAATATGTGGTCCCACCTATCATACACACATTGCGTCTTGGAGTTTGTGCTGCAGGTGGCTATAGATCTGTAGCCC[G/A]
TTGCTCTTCTCTCTTATCGTTTATATTATTAAAATATGTTTATAGCTGACTAATAGTCTACTATTGTACCTGCTCTTATTCTGTGACGCGTGACCTCAAC

Reverse complement sequence

GTTGAGGTCACGCGTCACAGAATAAGAGCAGGTACAATAGTAGACTATTAGTCAGCTATAAACATATTTTAATAATATAAACGATAAGAGAGAAGAGCAA[C/T]
GGGCTACAGATCTATAGCCACCTGCAGCACAAACTCCAAGACGCAATGTGTGTATGATAGGTGGGACCACATATTAATAGTATAGTAAGCAACTATTATA

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 81.10% 18.80% 0.13% 0.00% NA
All Indica  2759 99.60% 0.40% 0.00% 0.00% NA
All Japonica  1512 47.60% 52.10% 0.33% 0.00% NA
Aus  269 99.60% 0.40% 0.00% 0.00% NA
Indica I  595 100.00% 0.00% 0.00% 0.00% NA
Indica II  465 98.90% 1.10% 0.00% 0.00% NA
Indica III  913 99.90% 0.10% 0.00% 0.00% NA
Indica Intermediate  786 99.20% 0.80% 0.00% 0.00% NA
Temperate Japonica  767 77.20% 22.60% 0.26% 0.00% NA
Tropical Japonica  504 6.30% 93.50% 0.20% 0.00% NA
Japonica Intermediate  241 39.80% 59.30% 0.83% 0.00% NA
VI/Aromatic  96 33.30% 66.70% 0.00% 0.00% NA
Intermediate  90 73.30% 25.60% 1.11% 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
vg0917111958 G -> A LOC_Os09g28200.1 upstream_gene_variant ; 881.0bp to feature; MODIFIER silent_mutation Average:54.377; most accessible tissue: Zhenshan97 panicle, score: 90.268 N N N N
vg0917111958 G -> A LOC_Os09g28190.1 downstream_gene_variant ; 4067.0bp to feature; MODIFIER silent_mutation Average:54.377; most accessible tissue: Zhenshan97 panicle, score: 90.268 N N N N
vg0917111958 G -> A LOC_Os09g28200-LOC_Os09g28210 intergenic_region ; MODIFIER silent_mutation Average:54.377; most accessible tissue: Zhenshan97 panicle, score: 90.268 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)
vg0917111958 G A -0.02 -0.03 -0.03 -0.02 -0.01 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0917111958 3.11E-13 1.58E-18 Awn_length All YES 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
vg0917111958 NA 1.77E-10 mr1097 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
vg0917111958 NA 2.25E-10 mr1128 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
vg0917111958 NA 1.58E-13 mr1330 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
vg0917111958 NA 7.68E-11 mr1332 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
vg0917111958 NA 4.68E-13 mr1454 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
vg0917111958 NA 8.28E-07 mr1508 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
vg0917111958 NA 3.95E-07 mr1510 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
vg0917111958 NA 3.27E-12 mr1521 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
vg0917111958 3.71E-06 NA mr1829 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
vg0917111958 NA 2.14E-09 mr1057_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
vg0917111958 NA 8.78E-07 mr1057_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
vg0917111958 NA 6.46E-06 mr1182_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
vg0917111958 NA 1.35E-09 mr1379_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
vg0917111958 NA 1.08E-13 mr1552_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
vg0917111958 1.19E-06 NA mr1563_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
vg0917111958 NA 1.88E-13 mr1713_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
vg0917111958 3.44E-07 NA mr1733_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
vg0917111958 7.35E-06 NA mr1758_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
vg0917111958 NA 1.37E-07 mr1804_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
vg0917111958 6.38E-07 NA mr1829_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
vg0917111958 2.31E-06 NA mr1902_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
vg0917111958 NA 3.82E-10 mr1905_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