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Detailed information for vg0432450435:

Variant ID: vg0432450435 (JBrowse)Variation Type: SNP
Chromosome: chr04Position: 32450435
Reference Allele: AAlternative Allele: G
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.96, G: 0.04, others allele: 0.00, population size: 97. )

Flanking Sequence (100 bp) in Reference Genome:


CTAGAAAAAGGCATTTTCCCCGATGTGGGTTTTATTTTTCCAGTCACATGACTCTTTGAGCCAAATAATCACCTAAAAAATATAAATCGAGGTGAACTGC[A/G]
AATCACTTAAGTGGCGCCTGCGATGTGGTCCGCCTACCTACTAAAATAATCTAATCATCCTTATCCTCTCCTCTCCACCACTCATTTCCCTCCCCCTCCT

Reverse complement sequence

AGGAGGGGGAGGGAAATGAGTGGTGGAGAGGAGAGGATAAGGATGATTAGATTATTTTAGTAGGTAGGCGGACCACATCGCAGGCGCCACTTAAGTGATT[T/C]
GCAGTTCACCTCGATTTATATTTTTTAGGTGATTATTTGGCTCAAAGAGTCATGTGACTGGAAAAATAAAACCCACATCGGGGAAAATGCCTTTTTCTAG

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 75.20% 19.40% 4.02% 1.38% NA
All Indica  2759 71.90% 21.00% 5.29% 1.74% NA
All Japonica  1512 93.30% 6.60% 0.13% 0.00% NA
Aus  269 22.30% 63.90% 10.04% 3.72% NA
Indica I  595 92.60% 7.20% 0.17% 0.00% NA
Indica II  465 75.90% 14.80% 7.53% 1.72% NA
Indica III  913 51.20% 38.10% 8.00% 2.74% NA
Indica Intermediate  786 78.10% 15.30% 4.71% 1.91% NA
Temperate Japonica  767 99.60% 0.30% 0.13% 0.00% NA
Tropical Japonica  504 81.70% 18.30% 0.00% 0.00% NA
Japonica Intermediate  241 97.10% 2.50% 0.41% 0.00% NA
VI/Aromatic  96 27.10% 60.40% 8.33% 4.17% NA
Intermediate  90 78.90% 10.00% 7.78% 3.33% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0432450435 A -> DEL N N silent_mutation Average:98.566; most accessible tissue: Zhenshan97 root, score: 99.404 N N N N
vg0432450435 A -> G LOC_Os04g54550.1 upstream_gene_variant ; 4507.0bp to feature; MODIFIER silent_mutation Average:98.566; most accessible tissue: Zhenshan97 root, score: 99.404 N N N N
vg0432450435 A -> G LOC_Os04g54560.1 upstream_gene_variant ; 110.0bp to feature; MODIFIER silent_mutation Average:98.566; most accessible tissue: Zhenshan97 root, score: 99.404 N N N N
vg0432450435 A -> G LOC_Os04g54564.1 upstream_gene_variant ; 77.0bp to feature; MODIFIER silent_mutation Average:98.566; most accessible tissue: Zhenshan97 root, score: 99.404 N N N N
vg0432450435 A -> G LOC_Os04g54570.1 downstream_gene_variant ; 2830.0bp to feature; MODIFIER silent_mutation Average:98.566; most accessible tissue: Zhenshan97 root, score: 99.404 N N N N
vg0432450435 A -> G LOC_Os04g54560-LOC_Os04g54564 intergenic_region ; MODIFIER silent_mutation Average:98.566; most accessible tissue: Zhenshan97 root, score: 99.404 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)
vg0432450435 A G -0.02 0.03 0.03 0.02 0.0 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0432450435 NA 4.92E-06 mr1076 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
vg0432450435 NA 7.75E-06 mr1082 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
vg0432450435 3.75E-06 NA mr1083 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
vg0432450435 NA 5.34E-07 mr1083 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
vg0432450435 NA 2.60E-07 mr1226 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
vg0432450435 7.75E-06 4.49E-09 mr1403 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
vg0432450435 3.24E-06 3.67E-08 mr1403 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
vg0432450435 7.96E-10 1.12E-14 mr1800 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
vg0432450435 2.46E-08 2.44E-10 mr1800 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
vg0432450435 NA 9.80E-06 mr1226_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
vg0432450435 NA 3.74E-06 mr1243_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
vg0432450435 NA 3.59E-06 mr1263_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
vg0432450435 NA 6.37E-07 mr1638_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
vg0432450435 NA 5.99E-07 mr1729_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
vg0432450435 NA 1.00E-08 mr1740_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
vg0432450435 1.13E-08 5.10E-15 mr1741_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
vg0432450435 2.42E-07 NA mr1784_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
vg0432450435 2.73E-07 2.09E-09 mr1785_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
vg0432450435 1.60E-18 1.14E-29 mr1800_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
vg0432450435 2.14E-13 3.77E-15 mr1800_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
vg0432450435 5.59E-07 6.71E-12 mr1800_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
vg0432450435 1.89E-07 NA mr1873_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