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Detailed information for vg0303379797:

Variant ID: vg0303379797 (JBrowse)Variation Type: SNP
Chromosome: chr03Position: 3379797
Reference Allele: CAlternative Allele: T,G
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele : T (evidence from allele frequency in Oryza rufipogon: T: 1.00, others allele: 0.00, population size: 241. )

Flanking Sequence (100 bp) in Reference Genome:


AACTTTTCCGTCACATCGTTTCAATTTCAACCAAATTTTCAATTTTAAGGTGAACTAAACACATCCTTTGTTTCCTTCTAAATCGCTTGAAAAAAAAAGG[C/T,G]
TTTCCACTCGGTTTTTGCCATCCAACGATCACCTGATCGATGGAAGTGGGAGCATCACGAAACGAGCGGCAGGACTGACACGAGAGTAGTAAAAACTGCA

Reverse complement sequence

TGCAGTTTTTACTACTCTCGTGTCAGTCCTGCCGCTCGTTTCGTGATGCTCCCACTTCCATCGATCAGGTGATCGTTGGATGGCAAAAACCGAGTGGAAA[G/A,C]
CCTTTTTTTTTCAAGCGATTTAGAAGGAAACAAAGGATGTGTTTAGTTCACCTTAAAATTGAAAATTTGGTTGAAATTGAAACGATGTGACGGAAAAGTT

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 64.30% 35.40% 0.11% 0.13% G: 0.11%
All Indica  2759 98.40% 1.20% 0.07% 0.11% G: 0.14%
All Japonica  1512 0.30% 99.60% 0.00% 0.13% NA
Aus  269 87.00% 11.90% 0.74% 0.00% G: 0.37%
Indica I  595 99.70% 0.00% 0.17% 0.00% G: 0.17%
Indica II  465 95.10% 4.50% 0.00% 0.00% G: 0.43%
Indica III  913 99.70% 0.20% 0.00% 0.11% NA
Indica Intermediate  786 98.10% 1.40% 0.13% 0.25% G: 0.13%
Temperate Japonica  767 0.10% 99.90% 0.00% 0.00% NA
Tropical Japonica  504 0.40% 99.60% 0.00% 0.00% NA
Japonica Intermediate  241 0.40% 98.80% 0.00% 0.83% NA
VI/Aromatic  96 42.70% 56.20% 0.00% 1.04% NA
Intermediate  90 48.90% 50.00% 1.11% 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
vg0303379797 C -> T LOC_Os03g06680.1 5_prime_UTR_variant ; 589.0bp to feature; MODIFIER silent_mutation Average:95.113; most accessible tissue: Minghui63 panicle, score: 98.268 N N N N
vg0303379797 C -> T LOC_Os03g06674.1 upstream_gene_variant ; 457.0bp to feature; MODIFIER silent_mutation Average:95.113; most accessible tissue: Minghui63 panicle, score: 98.268 N N N N
vg0303379797 C -> T LOC_Os03g06690.1 upstream_gene_variant ; 4690.0bp to feature; MODIFIER silent_mutation Average:95.113; most accessible tissue: Minghui63 panicle, score: 98.268 N N N N
vg0303379797 C -> DEL N N silent_mutation Average:95.113; most accessible tissue: Minghui63 panicle, score: 98.268 N N N N
vg0303379797 C -> G LOC_Os03g06680.1 5_prime_UTR_variant ; 589.0bp to feature; MODIFIER silent_mutation Average:95.113; most accessible tissue: Minghui63 panicle, score: 98.268 N N N N
vg0303379797 C -> G LOC_Os03g06674.1 upstream_gene_variant ; 457.0bp to feature; MODIFIER silent_mutation Average:95.113; most accessible tissue: Minghui63 panicle, score: 98.268 N N N N
vg0303379797 C -> G LOC_Os03g06690.1 upstream_gene_variant ; 4690.0bp to feature; MODIFIER silent_mutation Average:95.113; most accessible tissue: Minghui63 panicle, score: 98.268 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)
vg0303379797 C G 0.02 0.06 0.06 0.01 0.0 0.01
vg0303379797 C T 0.0 0.02 0.03 -0.02 -0.01 -0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0303379797 NA 2.47E-65 mr1027 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
vg0303379797 NA 2.13E-11 mr1172 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
vg0303379797 NA 3.26E-46 mr1194 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
vg0303379797 NA 3.59E-29 mr1298 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
vg0303379797 NA 1.50E-15 mr1323 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
vg0303379797 NA 2.87E-34 mr1350 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
vg0303379797 NA 3.10E-08 mr1488 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
vg0303379797 NA 6.64E-08 mr1506 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
vg0303379797 NA 1.33E-47 mr1558 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
vg0303379797 NA 2.42E-12 mr1579 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
vg0303379797 NA 2.30E-20 mr1580 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
vg0303379797 NA 3.65E-19 mr1627 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
vg0303379797 NA 2.81E-28 mr1723 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
vg0303379797 NA 8.96E-27 mr1731 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
vg0303379797 NA 3.30E-23 mr1841 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
vg0303379797 1.01E-07 NA mr1036_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
vg0303379797 NA 2.05E-98 mr1100_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
vg0303379797 NA 9.60E-38 mr1181_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
vg0303379797 NA 1.43E-28 mr1238_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
vg0303379797 NA 6.56E-50 mr1404_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
vg0303379797 NA 1.29E-25 mr1484_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
vg0303379797 NA 6.29E-46 mr1519_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
vg0303379797 NA 4.10E-29 mr1631_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
vg0303379797 NA 7.05E-12 mr1666_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
vg0303379797 NA 4.10E-09 mr1705_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
vg0303379797 NA 2.44E-26 mr1708_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
vg0303379797 NA 4.39E-07 mr1748_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
vg0303379797 NA 1.61E-33 mr1841_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
vg0303379797 NA 7.48E-20 mr1900_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