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Detailed information for vg1210333331:

Variant ID: vg1210333331 (JBrowse)Variation Type: SNP
Chromosome: chr12Position: 10333331
Reference Allele: AAlternative Allele: G
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.98, A: 0.02, others allele: 0.00, population size: 89. )

Flanking Sequence (100 bp) in Reference Genome:


ACATGTGACCAAAGGTGCTGTCGTTCTCGCCGGCTGTTGGACGGAAAGTACTGACATCATCACCGCTGGCTCGACGAGGGTGAAATCGGTACGCCGTGTC[A/G]
TGGAAGATGTAGTTGTGGCGCTCCCGTAGTCTGGCCATCATCAGGTATGCTGCCTCCTGACAGGCGTGATCTGCTGTGCCTCCGGATGCCTCAACCACCA

Reverse complement sequence

TGGTGGTTGAGGCATCCGGAGGCACAGCAGATCACGCCTGTCAGGAGGCAGCATACCTGATGATGGCCAGACTACGGGAGCGCCACAACTACATCTTCCA[T/C]
GACACGGCGTACCGATTTCACCCTCGTCGAGCCAGCGGTGATGATGTCAGTACTTTCCGTCCAACAGCCGGCGAGAACGACAGCACCTTTGGTCACATGT

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 27.30% 3.00% 33.35% 36.29% NA
All Indica  2759 6.40% 0.90% 47.59% 45.16% NA
All Japonica  1512 69.90% 7.90% 5.42% 16.80% NA
Aus  269 3.30% 0.00% 47.96% 48.70% NA
Indica I  595 4.50% 0.80% 39.33% 55.29% NA
Indica II  465 14.20% 1.10% 36.56% 48.17% NA
Indica III  913 2.30% 0.50% 62.32% 34.83% NA
Indica Intermediate  786 7.90% 1.10% 43.26% 47.71% NA
Temperate Japonica  767 78.10% 12.40% 1.04% 8.47% NA
Tropical Japonica  504 63.90% 0.00% 12.10% 24.01% NA
Japonica Intermediate  241 56.40% 10.00% 5.39% 28.22% NA
VI/Aromatic  96 12.50% 0.00% 26.04% 61.46% NA
Intermediate  90 41.10% 1.10% 30.00% 27.78% NA

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1210333331 A -> DEL LOC_Os12g17990.1 N frameshift_variant Average:62.58; most accessible tissue: Minghui63 flag leaf, score: 91.06 N N N N
vg1210333331 A -> G LOC_Os12g17990.1 synonymous_variant ; p.His97His; LOW synonymous_codon Average:62.58; most accessible tissue: Minghui63 flag leaf, score: 91.06 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)
vg1210333331 A G 0.03 0.01 0.01 0.01 0.01 0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1210333331 4.92E-06 9.42E-06 mr1199 Ind_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
vg1210333331 9.43E-07 1.74E-06 mr1728 Ind_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
vg1210333331 NA 5.34E-06 mr1298_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
vg1210333331 NA 3.71E-06 mr1318_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
vg1210333331 8.05E-06 8.05E-06 mr1377_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
vg1210333331 2.19E-06 2.19E-06 mr1421_2 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
vg1210333331 NA 6.31E-06 mr1702_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
vg1210333331 NA 5.28E-06 mr1731_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
vg1210333331 NA 9.82E-06 mr1830_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
vg1210333331 8.32E-06 8.32E-06 mr1943_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