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Detailed information for vg1001404304:

Variant ID: vg1001404304 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 1404304
Reference Allele: TAlternative Allele: C
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


CACGACTGTCTCCGCAACGGCGCGTCCACGATCCCACGTTCCCACAACTGCCTCTCTCCTGATAGATAAGGAGGCCGCGATTCCGATCAAAACGATCCGC[T/C]
TGCTTCTTTCCCGGGTGTTAGTTCCTCCTCCTCCGCACCTGTGCTGCTCTCGCCTCCTCGCTTCTGATCGCTTGCGCGCACGAGAGATCGGAAGGAGCAG

Reverse complement sequence

CTGCTCCTTCCGATCTCTCGTGCGCGCAAGCGATCAGAAGCGAGGAGGCGAGAGCAGCACAGGTGCGGAGGAGGAGGAACTAACACCCGGGAAAGAAGCA[A/G]
GCGGATCGTTTTGATCGGAATCGCGGCCTCCTTATCTATCAGGAGAGAGGCAGTTGTGGGAACGTGGGATCGTGGACGCGCCGTTGCGGAGACAGTCGTG

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 87.20% 12.40% 0.38% 0.00% NA
All Indica  2759 98.00% 1.30% 0.65% 0.00% NA
All Japonica  1512 70.10% 29.90% 0.00% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 99.50% 0.30% 0.17% 0.00% NA
Indica II  465 97.00% 2.80% 0.22% 0.00% NA
Indica III  913 98.90% 0.10% 0.99% 0.00% NA
Indica Intermediate  786 96.60% 2.50% 0.89% 0.00% NA
Temperate Japonica  767 75.50% 24.50% 0.00% 0.00% NA
Tropical Japonica  504 78.80% 21.20% 0.00% 0.00% NA
Japonica Intermediate  241 34.90% 65.10% 0.00% 0.00% NA
VI/Aromatic  96 19.80% 80.20% 0.00% 0.00% NA
Intermediate  90 76.70% 23.30% 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
vg1001404304 T -> C LOC_Os10g03320.1 upstream_gene_variant ; 1402.0bp to feature; MODIFIER silent_mutation Average:77.051; most accessible tissue: Zhenshan97 flag leaf, score: 89.817 N N N N
vg1001404304 T -> C LOC_Os10g03300.1 downstream_gene_variant ; 4823.0bp to feature; MODIFIER silent_mutation Average:77.051; most accessible tissue: Zhenshan97 flag leaf, score: 89.817 N N N N
vg1001404304 T -> C LOC_Os10g03310.1 downstream_gene_variant ; 680.0bp to feature; MODIFIER silent_mutation Average:77.051; most accessible tissue: Zhenshan97 flag leaf, score: 89.817 N N N N
vg1001404304 T -> C LOC_Os10g03330.1 downstream_gene_variant ; 3449.0bp to feature; MODIFIER silent_mutation Average:77.051; most accessible tissue: Zhenshan97 flag leaf, score: 89.817 N N N N
vg1001404304 T -> C LOC_Os10g03310-LOC_Os10g03320 intergenic_region ; MODIFIER silent_mutation Average:77.051; most accessible tissue: Zhenshan97 flag leaf, score: 89.817 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)
vg1001404304 T C 0.0 0.0 0.0 0.0 0.0 0.0

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1001404304 1.83E-06 NA mr1217 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
vg1001404304 NA 6.79E-07 mr1278 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
vg1001404304 NA 2.32E-06 mr1303 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
vg1001404304 NA 9.17E-07 mr1304 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
vg1001404304 1.66E-06 NA mr1486 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
vg1001404304 NA 4.88E-08 mr1514 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
vg1001404304 NA 4.47E-10 mr1570 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
vg1001404304 NA 1.34E-06 mr1622 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
vg1001404304 NA 1.00E-05 mr1640 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
vg1001404304 NA 2.99E-06 mr1820 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
vg1001404304 2.30E-07 NA mr1845 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
vg1001404304 NA 6.00E-06 mr1884 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
vg1001404304 6.83E-10 NA mr1486_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
vg1001404304 4.24E-08 NA mr1486_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