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Detailed information for vg1122459168:

Variant ID: vg1122459168 (JBrowse)Variation Type: SNP
Chromosome: chr11Position: 22459168
Reference Allele: GAlternative Allele: A,T
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.94, A: 0.06, T: 0.01, others allele: 0.00, population size: 124. )

Flanking Sequence (100 bp) in Reference Genome:


CAGCAGTCAAACACAAATTTATGGTGCATAATTGGTTTTGTAGATACATGGTTGGATTGAGGGTGCGCTCGTTTCTGTAGATAGGTTGGGCTGATTAGCC[G/A,T]
CACGTAAAATGAGAAATGTGATTAGCATATGATTAATTTGTGTTAATATATTTTTGATAAATAAATTTGTTGGATTTTTTTAAACAACTTATTTATAGAA

Reverse complement sequence

TTCTATAAATAAGTTGTTTAAAAAAATCCAACAAATTTATTTATCAAAAATATATTAACACAAATTAATCATATGCTAATCACATTTCTCATTTTACGTG[C/T,A]
GGCTAATCAGCCCAACCTATCTACAGAAACGAGCGCACCCTCAATCCAACCATGTATCTACAAAACCAATTATGCACCATAAATTTGTGTTTGACTGCTG

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 96.40% 3.30% 0.02% 0.00% T: 0.28%
All Indica  2759 94.70% 5.30% 0.00% 0.00% T: 0.04%
All Japonica  1512 99.30% 0.10% 0.07% 0.00% T: 0.53%
Aus  269 97.00% 1.50% 0.00% 0.00% T: 1.49%
Indica I  595 99.70% 0.30% 0.00% 0.00% NA
Indica II  465 82.80% 17.20% 0.00% 0.00% NA
Indica III  913 98.40% 1.50% 0.00% 0.00% T: 0.11%
Indica Intermediate  786 93.80% 6.20% 0.00% 0.00% NA
Temperate Japonica  767 99.20% 0.00% 0.00% 0.00% T: 0.78%
Tropical Japonica  504 99.40% 0.40% 0.20% 0.00% NA
Japonica Intermediate  241 99.20% 0.00% 0.00% 0.00% T: 0.83%
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 96.70% 3.30% 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
vg1122459168 G -> T LOC_Os11g37880.1 downstream_gene_variant ; 602.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> T LOC_Os11g37890.1 downstream_gene_variant ; 632.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> T LOC_Os11g37890.3 downstream_gene_variant ; 632.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> T LOC_Os11g37890.2 downstream_gene_variant ; 1877.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> T LOC_Os11g37880-LOC_Os11g37890 intergenic_region ; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> A LOC_Os11g37880.1 downstream_gene_variant ; 602.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> A LOC_Os11g37890.1 downstream_gene_variant ; 632.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> A LOC_Os11g37890.3 downstream_gene_variant ; 632.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> A LOC_Os11g37890.2 downstream_gene_variant ; 1877.0bp to feature; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 N N N N
vg1122459168 G -> A LOC_Os11g37880-LOC_Os11g37890 intergenic_region ; MODIFIER silent_mutation Average:70.708; most accessible tissue: Zhenshan97 root, score: 88.851 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)
vg1122459168 G A -0.01 -0.01 -0.01 -0.01 -0.01 0.0
vg1122459168 G T -0.01 -0.03 -0.02 -0.01 -0.01 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1122459168 1.38E-06 9.65E-09 mr1310 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
vg1122459168 NA 8.84E-07 mr1525 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
vg1122459168 NA 3.16E-06 mr1693 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
vg1122459168 NA 9.56E-06 mr1720 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
vg1122459168 3.21E-08 5.18E-11 mr1889 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
vg1122459168 6.45E-08 4.26E-09 mr1896 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
vg1122459168 3.67E-06 1.34E-10 mr1903 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
vg1122459168 4.97E-06 NA mr1907 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
vg1122459168 9.76E-09 1.56E-12 mr1907 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
vg1122459168 1.20E-06 1.20E-06 mr1926 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
vg1122459168 9.56E-08 8.11E-13 mr1934 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
vg1122459168 8.34E-06 1.26E-08 mr1935 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
vg1122459168 NA 9.36E-06 mr1974 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
vg1122459168 NA 1.35E-06 mr1322_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
vg1122459168 NA 8.66E-06 mr1336_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