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Detailed information for vg0139299500:

Variant ID: vg0139299500 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 39299500
Reference Allele: AAlternative Allele: G
Primary Allele: GSecondary Allele: A

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


GCGCGGCAGGAGACCCCGAACGCCGCCGCGTCGTCTTCCCCTCCCGCCGCCGCCGCCGCAGCCGCCGCGGCGAGCGACTGGAGCTTGTGGCGGAGGAGGA[A/G]
CTTGAAGAAGACGCTGTAGATCTTCACGCCGACGCCCGGCATCGCCTCACCTCACCAGGATCCACACATCCGACGAGCGAACCCGCCCCGCCCCGCCCGC

Reverse complement sequence

GCGGGCGGGGCGGGGCGGGTTCGCTCGTCGGATGTGTGGATCCTGGTGAGGTGAGGCGATGCCGGGCGTCGGCGTGAAGATCTACAGCGTCTTCTTCAAG[T/C]
TCCTCCTCCGCCACAAGCTCCAGTCGCTCGCCGCGGCGGCTGCGGCGGCGGCGGCGGGAGGGGAAGACGACGCGGCGGCGTTCGGGGTCTCCTGCCGCGC

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 68.30% 30.60% 0.85% 0.28% NA
All Indica  2759 96.10% 2.10% 1.30% 0.47% NA
All Japonica  1512 10.70% 89.10% 0.20% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 96.00% 2.50% 1.01% 0.50% NA
Indica II  465 94.20% 0.90% 3.44% 1.51% NA
Indica III  913 99.70% 0.20% 0.11% 0.00% NA
Indica Intermediate  786 93.30% 4.70% 1.65% 0.38% NA
Temperate Japonica  767 1.40% 98.60% 0.00% 0.00% NA
Tropical Japonica  504 24.40% 75.20% 0.40% 0.00% NA
Japonica Intermediate  241 11.60% 88.00% 0.41% 0.00% NA
VI/Aromatic  96 94.80% 5.20% 0.00% 0.00% NA
Intermediate  90 61.10% 37.80% 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
vg0139299500 A -> G LOC_Os01g67600.1 missense_variant ; p.Phe15Leu; MODERATE nonsynonymous_codon ; F15L Average:94.613; most accessible tissue: Minghui63 flower, score: 97.961 possibly damaging -1.952 TOLERATED 0.61
vg0139299500 A -> DEL LOC_Os01g67600.1 N frameshift_variant Average:94.613; most accessible tissue: Minghui63 flower, score: 97.961 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)
vg0139299500 A G 0.01 0.01 0.02 0.02 0.01 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0139299500 NA 4.05E-10 Grain_weight All Not Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg0139299500 NA 9.21E-23 mr1548 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
vg0139299500 3.07E-07 3.07E-07 mr1591 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
vg0139299500 NA 9.14E-07 mr1657 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
vg0139299500 NA 2.99E-07 mr1690 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
vg0139299500 NA 3.57E-07 mr1890 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
vg0139299500 1.84E-07 1.84E-07 mr1891 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
vg0139299500 NA 2.74E-44 mr1486_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
vg0139299500 NA 8.88E-18 mr1682_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
vg0139299500 NA 7.29E-16 mr1866_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