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Detailed information for vg0205345992:

Variant ID: vg0205345992 (JBrowse)Variation Type: SNP
Chromosome: chr02Position: 5345992
Reference Allele: GAlternative Allele: A
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 1.00, others allele: 0.00, population size: 313. )

Flanking Sequence (100 bp) in Reference Genome:


TTTCGGCTGCCAGGATGCAGTGTGCATCACAAAGTTGAACAATTTAAGAAATGTAGCAGCCGACAAGAAGAAGTGTGAGGATAGAGCAGCAAAGGTGGAT[G/A]
TTGAAATCTTGTAGGTTGCAATCCATTCCACGCCCCTAGCCGCCTTAGATCTTGTCGAGCTTCTCAGCCTTCACCACTGGGTTGGCCTTGGCGATGGCAT

Reverse complement sequence

ATGCCATCGCCAAGGCCAACCCAGTGGTGAAGGCTGAGAAGCTCGACAAGATCTAAGGCGGCTAGGGGCGTGGAATGGATTGCAACCTACAAGATTTCAA[C/T]
ATCCACCTTTGCTGCTCTATCCTCACACTTCTTCTTGTCGGCTGCTACATTTCTTAAATTGTTCAACTTTGTGATGCACACTGCATCCTGGCAGCCGAAA

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 60.50% 39.50% 0.04% 0.00% NA
All Indica  2759 33.80% 66.10% 0.07% 0.00% NA
All Japonica  1512 98.90% 1.10% 0.00% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 9.40% 90.60% 0.00% 0.00% NA
Indica II  465 48.20% 51.80% 0.00% 0.00% NA
Indica III  913 41.20% 58.70% 0.11% 0.00% NA
Indica Intermediate  786 35.20% 64.60% 0.13% 0.00% NA
Temperate Japonica  767 98.60% 1.40% 0.00% 0.00% NA
Tropical Japonica  504 99.80% 0.20% 0.00% 0.00% NA
Japonica Intermediate  241 98.30% 1.70% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 70.00% 30.00% 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
vg0205345992 G -> A LOC_Os02g10200.1 3_prime_UTR_variant ; 45.0bp to feature; MODIFIER silent_mutation Average:82.904; most accessible tissue: Minghui63 young leaf, score: 89.871 N N N N
vg0205345992 G -> A LOC_Os02g10200.2 3_prime_UTR_variant ; 45.0bp to feature; MODIFIER silent_mutation Average:82.904; most accessible tissue: Minghui63 young leaf, score: 89.871 N N N N
vg0205345992 G -> A LOC_Os02g10210.1 upstream_gene_variant ; 2728.0bp to feature; MODIFIER silent_mutation Average:82.904; most accessible tissue: Minghui63 young leaf, score: 89.871 N N N N
vg0205345992 G -> A LOC_Os02g10190.1 downstream_gene_variant ; 1474.0bp to feature; MODIFIER silent_mutation Average:82.904; most accessible tissue: Minghui63 young leaf, score: 89.871 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)
vg0205345992 G A 0.05 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
vg0205345992 NA 3.42E-19 mr1077 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
vg0205345992 NA 2.81E-19 mr1598 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
vg0205345992 NA 1.27E-12 mr1609 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
vg0205345992 NA 1.06E-07 mr1610 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
vg0205345992 NA 4.79E-13 mr1655 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
vg0205345992 NA 1.53E-06 mr1036_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
vg0205345992 NA 2.66E-07 mr1072_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
vg0205345992 NA 1.83E-07 mr1075_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
vg0205345992 NA 1.77E-09 mr1077_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
vg0205345992 NA 1.59E-08 mr1080_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
vg0205345992 NA 9.57E-21 mr1253_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
vg0205345992 NA 3.99E-07 mr1321_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
vg0205345992 NA 2.60E-36 mr1598_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
vg0205345992 NA 1.60E-10 mr1619_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
vg0205345992 NA 4.44E-07 mr1795_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
vg0205345992 NA 2.06E-10 mr1829_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
vg0205345992 NA 7.38E-08 mr1842_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
vg0205345992 NA 8.34E-06 mr1897_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
vg0205345992 NA 8.03E-07 mr1933_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
vg0205345992 NA 9.22E-10 mr1962_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