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Detailed information for vg0921113209:

Variant ID: vg0921113209 (JBrowse)Variation Type: INDEL
Chromosome: chr09Position: 21113209
Reference Allele: CAlternative Allele: G,CGG
Primary Allele: CSecondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.60, C: 0.40, others allele: 0.00, population size: 88. )

Flanking Sequence (100 bp) in Reference Genome:


GATCGTGTGCTCCTCCCCGAGCACCGGCTTCTCGCCGGGGCCGCGCGCCTCCGCCGCCGCCGCCGCCGTCGCCTTCGCCACGAGGAGCGGGGCGGACGCG[C/G,CGG]
ACTCCTCCGCCTCCTCGACGTCGGCGTTCGCGAGCTTCCGCGTCTTCATCCAGGACTTCCACGCCACGTGCGCCGGCACCGCGGCGGGGGACGCGAGGAG

Reverse complement sequence

CTCCTCGCGTCCCCCGCCGCGGTGCCGGCGCACGTGGCGTGGAAGTCCTGGATGAAGACGCGGAAGCTCGCGAACGCCGACGTCGAGGAGGCGGAGGAGT[G/C,CCG]
CGCGTCCGCCCCGCTCCTCGTGGCGAAGGCGACGGCGGCGGCGGCGGCGGAGGCGCGCGGCCCCGGCGAGAAGCCGGTGCTCGGGGAGGAGCACACGATC

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 62.70% 37.20% 0.04% 0.04% CGG: 0.02%
All Indica  2759 43.70% 56.20% 0.04% 0.07% NA
All Japonica  1512 99.80% 0.20% 0.00% 0.00% NA
Aus  269 30.50% 69.50% 0.00% 0.00% NA
Indica I  595 10.30% 89.40% 0.17% 0.17% NA
Indica II  465 65.20% 34.80% 0.00% 0.00% NA
Indica III  913 49.70% 50.20% 0.00% 0.11% NA
Indica Intermediate  786 49.40% 50.60% 0.00% 0.00% NA
Temperate Japonica  767 99.90% 0.10% 0.00% 0.00% NA
Tropical Japonica  504 100.00% 0.00% 0.00% 0.00% NA
Japonica Intermediate  241 99.20% 0.80% 0.00% 0.00% NA
VI/Aromatic  96 93.80% 6.20% 0.00% 0.00% NA
Intermediate  90 86.70% 11.10% 1.11% 0.00% CGG: 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
vg0921113209 C -> G LOC_Os09g36600.1 missense_variant ; p.Cys292Ser; MODERATE nonsynonymous_codon ; C292S Average:93.734; most accessible tissue: Minghui63 young leaf, score: 96.436 probably damaging -2.568 TOLERATED 0.74
vg0921113209 C -> G LOC_Os09g36600.2 missense_variant ; p.Cys292Ser; MODERATE nonsynonymous_codon ; C292S Average:93.734; most accessible tissue: Minghui63 young leaf, score: 96.436 probably damaging -2.449 TOLERATED 0.73
vg0921113209 C -> DEL LOC_Os09g36600.1 N frameshift_variant Average:93.734; most accessible tissue: Minghui63 young leaf, score: 96.436 N N N N
vg0921113209 C -> DEL LOC_Os09g36600.2 N frameshift_variant Average:93.734; most accessible tissue: Minghui63 young leaf, score: 96.436 N N N N
vg0921113209 C -> CGG LOC_Os09g36600.1 frameshift_variant ; p.Cys292fs; HIGH frameshift_variant Average:93.734; most accessible tissue: Minghui63 young leaf, score: 96.436 N N N N
vg0921113209 C -> CGG LOC_Os09g36600.2 frameshift_variant ; p.Cys292fs; HIGH frameshift_variant Average:93.734; most accessible tissue: Minghui63 young leaf, score: 96.436 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)
vg0921113209 C CGG 0.02 0.02 -0.03 -0.11 -0.11 -0.12
vg0921113209 C G 0.03 0.02 0.03 0.01 0.02 0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0921113209 NA 1.06E-09 mr1050 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
vg0921113209 NA 3.66E-06 mr1209 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
vg0921113209 NA 6.95E-12 mr1272 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
vg0921113209 NA 1.51E-08 mr1439 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
vg0921113209 NA 7.80E-06 mr1508 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
vg0921113209 NA 4.67E-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
vg0921113209 NA 6.72E-07 mr1970 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
vg0921113209 NA 3.35E-06 mr1973 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
vg0921113209 NA 2.63E-13 mr1050_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
vg0921113209 NA 9.14E-06 mr1050_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
vg0921113209 NA 3.74E-09 mr1272_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
vg0921113209 NA 5.90E-06 mr1480_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
vg0921113209 NA 5.22E-09 mr1607_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
vg0921113209 4.38E-06 6.28E-07 mr1793_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
vg0921113209 NA 1.92E-12 mr1904_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
vg0921113209 NA 2.03E-08 mr1968_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
vg0921113209 NA 2.46E-06 mr1970_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