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Detailed information for vg0803222678:

Variant ID: vg0803222678 (JBrowse)Variation Type: SNP
Chromosome: chr08Position: 3222678
Reference Allele: CAlternative Allele: G
Primary Allele: CSecondary Allele: G

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


TTAGAAATATGCCCTTTTCGTTTTTTAAAGATGACGCCGTTAACTTTTTGACACACTTTTGACCATTCATCTTATTAAAAAAAATTATGCAAATGTGTAA[C/G]
ATATTAAATCATGCTTAAAATATTTTTAGTGATAAAACAACTCACAATAAAATAAATTATAATTATATAATTTTTTTAAATAAAATGAATGGCCAAACAT

Reverse complement sequence

ATGTTTGGCCATTCATTTTATTTAAAAAAATTATATAATTATAATTTATTTTATTGTGAGTTGTTTTATCACTAAAAATATTTTAAGCATGATTTAATAT[G/C]
TTACACATTTGCATAATTTTTTTTAATAAGATGAATGGTCAAAAGTGTGTCAAAAAGTTAACGGCGTCATCTTTAAAAAACGAAAAGGGCATATTTCTAA

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 93.70% 6.30% 0.00% 0.00% NA
All Indica  2759 99.90% 0.10% 0.00% 0.00% NA
All Japonica  1512 80.80% 19.20% 0.00% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 99.80% 0.20% 0.00% 0.00% NA
Indica II  465 100.00% 0.00% 0.00% 0.00% NA
Indica III  913 100.00% 0.00% 0.00% 0.00% NA
Indica Intermediate  786 99.60% 0.40% 0.00% 0.00% NA
Temperate Japonica  767 68.10% 31.90% 0.00% 0.00% NA
Tropical Japonica  504 99.20% 0.80% 0.00% 0.00% NA
Japonica Intermediate  241 82.60% 17.40% 0.00% 0.00% NA
VI/Aromatic  96 99.00% 1.00% 0.00% 0.00% NA
Intermediate  90 100.00% 0.00% 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
vg0803222678 C -> G LOC_Os08g05940.1 downstream_gene_variant ; 1548.0bp to feature; MODIFIER silent_mutation Average:65.252; most accessible tissue: Minghui63 root, score: 93.736 N N N N
vg0803222678 C -> G LOC_Os08g05930-LOC_Os08g05940 intergenic_region ; MODIFIER silent_mutation Average:65.252; most accessible tissue: Minghui63 root, score: 93.736 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)
vg0803222678 C G 0.0 -0.01 -0.01 -0.01 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0803222678 NA 4.71E-18 Awn_length All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0803222678 NA 9.99E-09 Awn_length Jap_All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0803222678 2.24E-06 NA mr1062 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
vg0803222678 NA 3.50E-07 mr1062 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
vg0803222678 NA 1.47E-06 mr1126 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
vg0803222678 5.29E-06 2.74E-07 mr1343 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
vg0803222678 4.27E-06 7.79E-07 mr1456 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
vg0803222678 2.02E-06 2.02E-06 mr1456 Jap_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
vg0803222678 NA 3.94E-06 mr1531 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
vg0803222678 NA 6.49E-09 mr1624 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
vg0803222678 NA 1.84E-07 mr1780_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