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Detailed information for vg0500069986:

Variant ID: vg0500069986 (JBrowse)Variation Type: SNP
Chromosome: chr05Position: 69986
Reference Allele: CAlternative Allele: A
Primary Allele: CSecondary Allele: A

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.98, A: 0.02, others allele: 0.00, population size: 272. )

Flanking Sequence (100 bp) in Reference Genome:


CGGGGGTGCCGTACGAGTGTGAGAGCGAGAGGCCAGTAGTACAGAGAGACAGACAGTAGGAGACGAGGAAGAAGAGACTGCTGCGCTGCAATGCCACTCC[C/A]
TTCACCACTTTCCCCTCCTTCACAATTGGGAAAACTCGACATCATAAACATGGATGGTGCTTGTCAGTTGTCACTGTATAAGCACTTCTTCGGACCTATT

Reverse complement sequence

AATAGGTCCGAAGAAGTGCTTATACAGTGACAACTGACAAGCACCATCCATGTTTATGATGTCGAGTTTTCCCAATTGTGAAGGAGGGGAAAGTGGTGAA[G/T]
GGAGTGGCATTGCAGCGCAGCAGTCTCTTCTTCCTCGTCTCCTACTGTCTGTCTCTCTGTACTACTGGCCTCTCGCTCTCACACTCGTACGGCACCCCCG

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of A(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 75.90% 24.00% 0.08% 0.00% NA
All Indica  2759 64.40% 35.50% 0.14% 0.00% NA
All Japonica  1512 99.50% 0.50% 0.00% 0.00% NA
Aus  269 48.00% 52.00% 0.00% 0.00% NA
Indica I  595 83.40% 16.60% 0.00% 0.00% NA
Indica II  465 80.20% 19.80% 0.00% 0.00% NA
Indica III  913 43.00% 56.80% 0.11% 0.00% NA
Indica Intermediate  786 65.40% 34.20% 0.38% 0.00% NA
Temperate Japonica  767 99.70% 0.30% 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 91.10% 8.90% 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
vg0500069986 C -> A LOC_Os05g01040.1 upstream_gene_variant ; 782.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01040.3 upstream_gene_variant ; 782.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01040.2 upstream_gene_variant ; 782.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01040.4 upstream_gene_variant ; 37.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01030.1 downstream_gene_variant ; 4927.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01050.1 downstream_gene_variant ; 1054.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01050.2 downstream_gene_variant ; 1054.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01050.3 downstream_gene_variant ; 1054.0bp to feature; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 N N N N
vg0500069986 C -> A LOC_Os05g01040-LOC_Os05g01050 intergenic_region ; MODIFIER silent_mutation Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125 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)
vg0500069986 C A 0.02 0.07 0.03 -0.04 0.01 0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0500069986 1.46E-06 2.35E-09 mr1156 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
vg0500069986 NA 7.91E-09 mr1162 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
vg0500069986 8.02E-06 8.02E-06 mr1162 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
vg0500069986 4.01E-06 1.31E-09 mr1179 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
vg0500069986 NA 5.46E-06 mr1236 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
vg0500069986 NA 2.35E-10 mr1510 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
vg0500069986 NA 2.49E-07 mr1510 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
vg0500069986 NA 5.19E-06 mr1624 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
vg0500069986 NA 5.45E-06 mr1630 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
vg0500069986 NA 1.84E-06 mr1691 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
vg0500069986 NA 3.39E-06 mr1740 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
vg0500069986 NA 7.87E-07 mr1045_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
vg0500069986 NA 1.39E-06 mr1045_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
vg0500069986 NA 1.70E-07 mr1156_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
vg0500069986 NA 4.56E-07 mr1277_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
vg0500069986 NA 1.67E-09 mr1510_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
vg0500069986 NA 4.29E-06 mr1510_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
vg0500069986 NA 5.97E-06 mr1511_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
vg0500069986 NA 1.94E-09 mr1624_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
vg0500069986 NA 2.66E-08 mr1624_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
vg0500069986 NA 6.78E-07 mr1702_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
vg0500069986 NA 3.92E-06 mr1702_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
vg0500069986 NA 6.29E-06 mr1729_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
vg0500069986 NA 3.14E-06 mr1729_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
vg0500069986 NA 2.52E-08 mr1740_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
vg0500069986 3.47E-06 1.14E-08 mr1740_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
vg0500069986 NA 2.29E-06 mr1741_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
vg0500069986 NA 1.76E-06 mr1751_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
vg0500069986 NA 3.70E-06 mr1788_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
vg0500069986 NA 2.55E-06 mr1788_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
vg0500069986 NA 5.26E-07 mr1800_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
vg0500069986 NA 5.21E-08 mr1807_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