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Detailed information for vg0224880460:

Variant ID: vg0224880460 (JBrowse)Variation Type: SNP
Chromosome: chr02Position: 24880460
Reference Allele: CAlternative Allele: G
Primary Allele: CSecondary Allele: G

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 1.00, others allele: 0.00, population size: 277. )

Flanking Sequence (100 bp) in Reference Genome:


AAAACATTTAAACATGTGTGCTAGAGTACATATTTATAATCTTATTGTGAACCATATACAAATGATGTACTAGTGGCTTCCTTCCTTCTTGCGCACCATA[C/G]
TATTATCATGGTACGAGGGATTCAATAAATGATTCTAGACTTAACTTGAGTAATATCCTAAACATAGCTCCTAAATAATTTTTGAAGACAAGGAAAGAAA

Reverse complement sequence

TTTCTTTCCTTGTCTTCAAAAATTATTTAGGAGCTATGTTTAGGATATTACTCAAGTTAAGTCTAGAATCATTTATTGAATCCCTCGTACCATGATAATA[G/C]
TATGGTGCGCAAGAAGGAAGGAAGCCACTAGTACATCATTTGTATATGGTTCACAATAAGATTATAAATATGTACTCTAGCACACATGTTTAAATGTTTT

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 92.40% 7.60% 0.02% 0.00% NA
All Indica  2759 87.30% 12.70% 0.04% 0.00% NA
All Japonica  1512 100.00% 0.00% 0.00% 0.00% NA
Aus  269 98.90% 1.10% 0.00% 0.00% NA
Indica I  595 59.80% 40.20% 0.00% 0.00% NA
Indica II  465 97.60% 2.40% 0.00% 0.00% NA
Indica III  913 94.50% 5.50% 0.00% 0.00% NA
Indica Intermediate  786 93.50% 6.40% 0.13% 0.00% NA
Temperate Japonica  767 100.00% 0.00% 0.00% 0.00% NA
Tropical Japonica  504 100.00% 0.00% 0.00% 0.00% NA
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 94.40% 5.60% 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
vg0224880460 C -> G LOC_Os02g41510.1 upstream_gene_variant ; 526.0bp to feature; MODIFIER silent_mutation Average:72.246; most accessible tissue: Minghui63 root, score: 91.589 N N N N
vg0224880460 C -> G LOC_Os02g41510-LOC_Os02g41520 intergenic_region ; MODIFIER silent_mutation Average:72.246; most accessible tissue: Minghui63 root, score: 91.589 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)
vg0224880460 C G 0.01 0.0 0.0 -0.01 -0.01 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0224880460 NA 4.30E-06 mr1231 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
vg0224880460 NA 1.74E-06 mr1332 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
vg0224880460 NA 1.02E-08 mr1557 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
vg0224880460 NA 9.72E-06 mr1598 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
vg0224880460 NA 1.69E-07 mr1715 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
vg0224880460 NA 5.34E-06 mr1944 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
vg0224880460 NA 2.77E-06 mr1291_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
vg0224880460 NA 3.27E-08 mr1557_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
vg0224880460 2.27E-06 1.71E-09 mr1558_2 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
vg0224880460 NA 2.07E-10 mr1598_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
vg0224880460 NA 1.06E-06 mr1835_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
vg0224880460 NA 2.18E-09 mr1904_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