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Detailed information for vg0133601653:

Variant ID: vg0133601653 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 33601653
Reference Allele: CAlternative Allele: T
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.96, T: 0.04, others allele: 0.00, population size: 116. )

Flanking Sequence (100 bp) in Reference Genome:


TCGATTTTCTTGTGCTCCCTAGCATTGACAAACACATCAAACTTGCACACGCCATCTGTCTGGATGTGCTCGACCACCAGCACCTCCTCTTGTGTTGCCC[C/T]
TTTTGGCTGTCTCCACAACATTAGCGGTCGTCTCACCTCTGCGGTCACCACATTGCCAAGGGATACTGGAAACATGACGGGCTTCTCGACCCTGTTTTTC

Reverse complement sequence

GAAAAACAGGGTCGAGAAGCCCGTCATGTTTCCAGTATCCCTTGGCAATGTGGTGACCGCAGAGGTGAGACGACCGCTAATGTTGTGGAGACAGCCAAAA[G/A]
GGGCAACACAAGAGGAGGTGCTGGTGGTCGAGCACATCCAGACAGATGGCGTGTGCAAGTTTGATGTGTTTGTCAATGCTAGGGAGCACAAGAAAATCGA

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of C(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 62.60% 37.30% 0.06% 0.06% NA
All Indica  2759 95.20% 4.60% 0.11% 0.11% NA
All Japonica  1512 2.40% 97.60% 0.00% 0.00% NA
Aus  269 98.90% 1.10% 0.00% 0.00% NA
Indica I  595 93.80% 6.20% 0.00% 0.00% NA
Indica II  465 97.80% 1.70% 0.00% 0.43% NA
Indica III  913 97.20% 2.60% 0.22% 0.00% NA
Indica Intermediate  786 92.40% 7.40% 0.13% 0.13% NA
Temperate Japonica  767 3.50% 96.50% 0.00% 0.00% NA
Tropical Japonica  504 1.00% 99.00% 0.00% 0.00% NA
Japonica Intermediate  241 1.70% 98.30% 0.00% 0.00% NA
VI/Aromatic  96 2.10% 97.90% 0.00% 0.00% NA
Intermediate  90 32.20% 67.80% 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
vg0133601653 C -> T LOC_Os01g58100.1 missense_variant ; p.Gly469Arg; MODERATE nonsynonymous_codon ; G469R Average:78.679; most accessible tissue: Callus, score: 91.91 unknown unknown TOLERATED 0.06
vg0133601653 C -> DEL LOC_Os01g58100.1 N frameshift_variant Average:78.679; most accessible tissue: Callus, score: 91.91 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)
vg0133601653 C T -0.02 -0.01 0.0 0.01 0.03 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0133601653 2.10E-06 2.03E-24 mr1003 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
vg0133601653 NA 2.52E-09 mr1005 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
vg0133601653 4.22E-31 2.76E-166 mr1008 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
vg0133601653 2.45E-29 1.85E-161 mr1009 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
vg0133601653 NA 1.04E-12 mr1010 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
vg0133601653 1.60E-15 2.21E-97 mr1014 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
vg0133601653 3.95E-16 1.15E-99 mr1015 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
vg0133601653 NA 3.89E-70 mr1027 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
vg0133601653 5.05E-06 1.10E-22 mr1051 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
vg0133601653 NA 9.11E-22 mr1163 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
vg0133601653 NA 3.97E-23 mr1375 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
vg0133601653 NA 9.51E-86 mr1517 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
vg0133601653 NA 9.65E-11 mr1553 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
vg0133601653 NA 2.25E-10 mr1714 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
vg0133601653 NA 1.49E-10 mr1004_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
vg0133601653 8.89E-39 3.82E-170 mr1008_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
vg0133601653 NA 2.01E-20 mr1010_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
vg0133601653 2.26E-22 2.04E-118 mr1015_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
vg0133601653 4.77E-07 NA mr1019_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
vg0133601653 6.09E-11 8.77E-88 mr1027_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
vg0133601653 3.85E-10 5.10E-31 mr1051_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
vg0133601653 4.64E-09 2.88E-95 mr1536_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
vg0133601653 5.31E-06 NA mr1778_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