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Detailed information for vg0335267908:

Variant ID: vg0335267908 (JBrowse)Variation Type: INDEL
Chromosome: chr03Position: 35267908
Reference Allele: GAlternative Allele: GATAT,GATAGATAT,T,GATAGATATAT,GATAGATATATAT
Primary Allele: GSecondary Allele: T

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 1.00, others allele: 0.00, population size: 122. )

Flanking Sequence (100 bp) in Reference Genome:


TTAATCCTCCTTCTTGTTTGCTGGTGTCACTGTTATCTGAACTTATAGAATAGCTCAAGTTCAGATACAAACAAGCGAAACGACTGAATCTATCAAGATA[G/GATAT,GATAGATAT,T,GATAGATATAT,GATAGATATATAT]
ATATATATATCTTCGTGAACAGATTTGTGTCCCAATCTTGGCACAAGAAGATAAGTGCAACCTTAGCACAACAAGTTTATCCTAATTGCTTCCTGCCACA

Reverse complement sequence

TGTGGCAGGAAGCAATTAGGATAAACTTGTTGTGCTAAGGTTGCACTTATCTTCTTGTGCCAAGATTGGGACACAAATCTGTTCACGAAGATATATATAT[C/ATATC,ATATCTATC,A,ATATATCTATC,ATATATATCTATC]
TATCTTGATAGATTCAGTCGTTTCGCTTGTTTGTATCTGAACTTGAGCTATTCTATAAGTTCAGATAACAGTGACACCAGCAAACAAGAAGGAGGATTAA

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 57.80% 12.30% 7.24% 17.31% GATAGATAT: 5.18%; GATAT: 0.06%; GATAGATATATAT: 0.04%; GATAGATATAT: 0.04%
All Indica  2759 34.30% 20.60% 11.85% 29.03% GATAGATAT: 4.24%; GATAGATATATAT: 0.04%
All Japonica  1512 99.20% 0.10% 0.26% 0.26% GATAT: 0.13%
Aus  269 50.20% 0.00% 1.12% 0.00% GATAGATAT: 47.21%; GATAGATATAT: 0.74%; GATAT: 0.37%; GATAGATATATAT: 0.37%
Indica I  595 41.30% 12.60% 7.23% 35.46% GATAGATAT: 3.36%
Indica II  465 22.20% 39.80% 15.27% 22.80% NA
Indica III  913 37.20% 9.70% 12.49% 33.30% GATAGATAT: 7.23%
Indica Intermediate  786 32.60% 27.90% 12.60% 22.90% GATAGATAT: 3.94%; GATAGATATATAT: 0.13%
Temperate Japonica  767 99.30% 0.00% 0.52% 0.13% NA
Tropical Japonica  504 98.60% 0.40% 0.00% 0.60% GATAT: 0.40%
Japonica Intermediate  241 100.00% 0.00% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 63.30% 12.20% 8.89% 14.44% GATAGATAT: 1.11%

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0335267908 G -> T LOC_Os03g62250.1 upstream_gene_variant ; 3481.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> T LOC_Os03g62260.1 upstream_gene_variant ; 3350.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> T LOC_Os03g62270.1 intron_variant ; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATAT LOC_Os03g62250.1 upstream_gene_variant ; 3482.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATAT LOC_Os03g62260.1 upstream_gene_variant ; 3351.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATAT LOC_Os03g62270.1 intron_variant ; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATATATAT LOC_Os03g62250.1 upstream_gene_variant ; 3482.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATATATAT LOC_Os03g62260.1 upstream_gene_variant ; 3351.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATATATAT LOC_Os03g62270.1 intron_variant ; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> DEL N N silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAT LOC_Os03g62250.1 upstream_gene_variant ; 3482.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAT LOC_Os03g62260.1 upstream_gene_variant ; 3351.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAT LOC_Os03g62270.1 intron_variant ; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATATAT LOC_Os03g62250.1 upstream_gene_variant ; 3482.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATATAT LOC_Os03g62260.1 upstream_gene_variant ; 3351.0bp to feature; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 N N N N
vg0335267908 G -> GATAGATATAT LOC_Os03g62270.1 intron_variant ; MODIFIER silent_mutation Average:63.669; most accessible tissue: Callus, score: 88.597 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)
vg0335267908 G GATAG* -0.13 -0.52 -0.4 0.11 -0.22 -0.64
vg0335267908 G GATAT -0.1 -0.49 -0.41 -0.12 -0.35 -0.67
vg0335267908 G T 0.1 -0.11 -0.1 0.01 -0.03 -0.05

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0335267908 NA 1.46E-12 mr1180 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
vg0335267908 NA 9.80E-08 mr1180 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
vg0335267908 NA 1.46E-13 mr1183 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
vg0335267908 NA 5.74E-14 mr1503 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
vg0335267908 NA 1.33E-06 mr1503 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
vg0335267908 NA 1.93E-06 mr1918 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
vg0335267908 NA 1.11E-08 mr1929 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
vg0335267908 NA 1.81E-08 mr1095_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
vg0335267908 NA 9.69E-08 mr1099_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
vg0335267908 NA 1.70E-08 mr1222_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
vg0335267908 NA 3.69E-12 mr1377_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
vg0335267908 NA 8.26E-06 mr1377_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
vg0335267908 NA 5.30E-09 mr1449_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