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Detailed information for vg0917111813:

Variant ID: vg0917111813 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 17111813
Reference Allele: GAlternative Allele: A
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


GTCAATGCATCTTACACTGTTCTGCAGTTCAAAAAGAATAATACGGAGATACTACACCGTGACTAGAATTAGATCAAGTTTAAGTTTAATAGTATAGCCA[G/A]
CTACTAACTTCAATTCATTTATAACTAATTTAATAGCCAATTCATATAATAGTTGCTTACTATACTATTAATATGTGGTCCCACCTATCATACACACATT

Reverse complement sequence

AATGTGTGTATGATAGGTGGGACCACATATTAATAGTATAGTAAGCAACTATTATATGAATTGGCTATTAAATTAGTTATAAATGAATTGAAGTTAGTAG[C/T]
TGGCTATACTATTAAACTTAAACTTGATCTAATTCTAGTCACGGTGTAGTATCTCCGTATTATTCTTTTTGAACTGCAGAACAGTGTAAGATGCATTGAC

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 84.30% 15.60% 0.04% 0.00% NA
All Indica  2759 99.30% 0.70% 0.00% 0.00% NA
All Japonica  1512 53.70% 46.20% 0.13% 0.00% NA
Aus  269 99.60% 0.40% 0.00% 0.00% NA
Indica I  595 99.70% 0.30% 0.00% 0.00% NA
Indica II  465 97.20% 2.80% 0.00% 0.00% NA
Indica III  913 99.90% 0.10% 0.00% 0.00% NA
Indica Intermediate  786 99.50% 0.50% 0.00% 0.00% NA
Temperate Japonica  767 23.10% 76.70% 0.26% 0.00% NA
Tropical Japonica  504 94.80% 5.20% 0.00% 0.00% NA
Japonica Intermediate  241 65.10% 34.90% 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
vg0917111813 G -> A LOC_Os09g28200.1 upstream_gene_variant ; 736.0bp to feature; MODIFIER silent_mutation Average:69.488; most accessible tissue: Zhenshan97 panicle, score: 95.705 N N N N
vg0917111813 G -> A LOC_Os09g28190.1 downstream_gene_variant ; 3922.0bp to feature; MODIFIER silent_mutation Average:69.488; most accessible tissue: Zhenshan97 panicle, score: 95.705 N N N N
vg0917111813 G -> A LOC_Os09g28200-LOC_Os09g28210 intergenic_region ; MODIFIER silent_mutation Average:69.488; most accessible tissue: Zhenshan97 panicle, score: 95.705 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)
vg0917111813 G A -0.01 0.0 0.0 0.0 0.0 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0917111813 2.69E-09 NA Awn_length 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
vg0917111813 NA 1.83E-12 mr1182 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
vg0917111813 NA 5.40E-11 mr1282 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
vg0917111813 NA 4.69E-10 mr1658 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
vg0917111813 2.97E-06 5.03E-07 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
vg0917111813 NA 7.49E-08 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
vg0917111813 NA 2.45E-14 mr1182_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
vg0917111813 NA 4.27E-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
vg0917111813 NA 4.44E-12 mr1282_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
vg0917111813 NA 6.20E-07 mr1551_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
vg0917111813 NA 4.98E-10 mr1552_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
vg0917111813 NA 2.06E-07 mr1607_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
vg0917111813 NA 5.24E-11 mr1667_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
vg0917111813 5.04E-06 NA mr1679_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
vg0917111813 NA 1.51E-09 mr1681_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
vg0917111813 2.80E-07 NA mr1713_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
vg0917111813 6.19E-06 NA mr1720_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
vg0917111813 2.74E-06 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
vg0917111813 8.80E-07 NA mr1757_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
vg0917111813 NA 1.77E-06 mr1980_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