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Detailed information for vg0106990017:

Variant ID: vg0106990017 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 6990017
Reference Allele: CAlternative Allele: T
Primary Allele: CSecondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 1.00, T: 0.01, others allele: 0.00, population size: 295. )

Flanking Sequence (100 bp) in Reference Genome:


TCCTTTTGTCCCTGATGGGTGAGAATCCTCTACTATAATATTACTATCATTACAGTTACTGTTATGTTTGTCCCACCCTCTATTGTCCCACACGTCAGTG[C/T]
CTGTAATGGTAGTGCCATATTGCCAGTATGGTAGAGGATGTGAACCCCATATATGACCGGCGGGGTATGCAGTTATTAACCGGAGAAGTAGTAGCATAAC

Reverse complement sequence

GTTATGCTACTACTTCTCCGGTTAATAACTGCATACCCCGCCGGTCATATATGGGGTTCACATCCTCTACCATACTGGCAATATGGCACTACCATTACAG[G/A]
CACTGACGTGTGGGACAATAGAGGGTGGGACAAACATAACAGTAACTGTAATGATAGTAATATTATAGTAGAGGATTCTCACCCATCAGGGACAAAAGGA

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 93.20% 6.80% 0.00% 0.00% NA
All Indica  2759 100.00% 0.00% 0.00% 0.00% NA
All Japonica  1512 79.30% 20.70% 0.00% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 100.00% 0.00% 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 99.90% 0.10% 0.00% 0.00% NA
Temperate Japonica  767 98.70% 1.30% 0.00% 0.00% NA
Tropical Japonica  504 44.40% 55.60% 0.00% 0.00% NA
Japonica Intermediate  241 90.50% 9.50% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 90.00% 10.00% 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
vg0106990017 C -> T LOC_Os01g12680.1 upstream_gene_variant ; 854.0bp to feature; MODIFIER silent_mutation Average:63.994; most accessible tissue: Zhenshan97 flower, score: 98.829 N N N N
vg0106990017 C -> T LOC_Os01g12680.3 upstream_gene_variant ; 862.0bp to feature; MODIFIER silent_mutation Average:63.994; most accessible tissue: Zhenshan97 flower, score: 98.829 N N N N
vg0106990017 C -> T LOC_Os01g12670.1 downstream_gene_variant ; 4239.0bp to feature; MODIFIER silent_mutation Average:63.994; most accessible tissue: Zhenshan97 flower, score: 98.829 N N N N
vg0106990017 C -> T LOC_Os01g12670.5 downstream_gene_variant ; 4244.0bp to feature; MODIFIER silent_mutation Average:63.994; most accessible tissue: Zhenshan97 flower, score: 98.829 N N N N
vg0106990017 C -> T LOC_Os01g12670.2 downstream_gene_variant ; 4239.0bp to feature; MODIFIER silent_mutation Average:63.994; most accessible tissue: Zhenshan97 flower, score: 98.829 N N N N
vg0106990017 C -> T LOC_Os01g12680.4 intron_variant ; MODIFIER silent_mutation Average:63.994; most accessible tissue: Zhenshan97 flower, score: 98.829 N N N N
vg0106990017 C -> T LOC_Os01g12680.2 intron_variant ; MODIFIER silent_mutation Average:63.994; most accessible tissue: Zhenshan97 flower, score: 98.829 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)
vg0106990017 C T 0.04 0.06 0.03 0.0 -0.01 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0106990017 NA 2.69E-10 mr1017 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
vg0106990017 NA 3.20E-10 mr1132 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
vg0106990017 NA 5.49E-06 mr1236 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
vg0106990017 NA 8.77E-07 mr1236 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
vg0106990017 NA 3.10E-07 mr1248 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
vg0106990017 NA 1.27E-06 mr1364 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
vg0106990017 NA 1.16E-06 mr1443 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
vg0106990017 6.87E-06 NA mr1498 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
vg0106990017 NA 2.61E-06 mr1510 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
vg0106990017 3.86E-07 7.62E-21 mr1518 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
vg0106990017 NA 9.05E-11 mr1518 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
vg0106990017 7.39E-09 1.05E-25 mr1676 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
vg0106990017 4.75E-06 2.58E-12 mr1676 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
vg0106990017 2.35E-07 1.95E-37 mr1699 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
vg0106990017 NA 9.51E-19 mr1699 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
vg0106990017 6.87E-12 1.45E-20 mr1769 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
vg0106990017 1.01E-08 2.69E-28 mr1769 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
vg0106990017 NA 3.76E-08 mr1916 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
vg0106990017 NA 6.11E-06 mr1925 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
vg0106990017 NA 3.26E-10 mr1951 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
vg0106990017 NA 2.54E-12 mr1951 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
vg0106990017 NA 6.72E-10 mr1398_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
vg0106990017 NA 5.58E-07 mr1398_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
vg0106990017 NA 1.51E-06 mr1422_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
vg0106990017 5.93E-09 1.14E-07 mr1498_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
vg0106990017 2.17E-08 2.99E-11 mr1498_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
vg0106990017 9.02E-08 2.85E-26 mr1676_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
vg0106990017 7.11E-06 3.59E-13 mr1676_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
vg0106990017 NA 5.15E-07 mr1696_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
vg0106990017 NA 2.74E-32 mr1699_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
vg0106990017 6.04E-13 8.36E-25 mr1769_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
vg0106990017 5.22E-09 1.58E-27 mr1769_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
vg0106990017 3.01E-11 NA mr1850_2 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
vg0106990017 1.65E-06 NA mr1850_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
vg0106990017 6.77E-07 8.74E-25 mr1916_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
vg0106990017 6.87E-06 9.70E-15 mr1916_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
vg0106990017 NA 7.27E-10 mr1993_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