Search for Variation information by Variation ID:

Please input a variation ID (e.g., vg0722097923 , STR0500036000 ).

Detailed information for vg0141603890:

Variant ID: vg0141603890 (JBrowse)Variation Type: SNP
Chromosome: chr01Position: 41603890
Reference Allele: TAlternative Allele: G
Primary Allele: GSecondary Allele: T

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.80, T: 0.19, others allele: 0.00, population size: 103. )

Flanking Sequence (100 bp) in Reference Genome:


CGTCCAGGCCTACTGGCCGAGCGTCTTCATCCGGTACATCGCCGTCGGCAACGAGCTCGGCCCCGGCGACATGGGGACCATCCTCCCGGCCATGCAGAAC[T/G]
TGTACAACGCGCTCGTGTCCGCCGGCCTCTCGAACAGCATCAAGGTGTCGACGGCGGTGAAGATGGACGTGATCACCAACTCGTTCCCTCCGTCGCACGG

Reverse complement sequence

CCGTGCGACGGAGGGAACGAGTTGGTGATCACGTCCATCTTCACCGCCGTCGACACCTTGATGCTGTTCGAGAGGCCGGCGGACACGAGCGCGTTGTACA[A/C]
GTTCTGCATGGCCGGGAGGATGGTCCCCATGTCGCCGGGGCCGAGCTCGTTGCCGACGGCGATGTACCGGATGAAGACGCTCGGCCAGTAGGCCTGGACG

Allele Frequencies:

Populations Population SizeFrequency of G(primary allele) Frequency of T(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 58.50% 41.30% 0.19% 0.00% NA
All Indica  2759 84.20% 15.50% 0.29% 0.00% NA
All Japonica  1512 2.70% 97.20% 0.07% 0.00% NA
Aus  269 97.80% 2.20% 0.00% 0.00% NA
Indica I  595 72.90% 26.40% 0.67% 0.00% NA
Indica II  465 88.40% 11.60% 0.00% 0.00% NA
Indica III  913 97.20% 2.70% 0.11% 0.00% NA
Indica Intermediate  786 75.30% 24.30% 0.38% 0.00% NA
Temperate Japonica  767 0.80% 99.20% 0.00% 0.00% NA
Tropical Japonica  504 4.20% 95.80% 0.00% 0.00% NA
Japonica Intermediate  241 5.80% 93.80% 0.41% 0.00% NA
VI/Aromatic  96 96.90% 3.10% 0.00% 0.00% NA
Intermediate  90 47.80% 52.20% 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
vg0141603890 T -> G LOC_Os01g71830.1 missense_variant ; p.Leu115Val; MODERATE nonsynonymous_codon ; L115V Average:69.944; most accessible tissue: Zhenshan97 root, score: 94.629 benign -0.333 TOLERATED 0.65

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)
vg0141603890 T G 0.03 0.0 0.0 0.02 0.02 0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0141603890 NA 3.75E-07 Spikelet_length Ind_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
vg0141603890 NA 8.86E-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
vg0141603890 NA 7.39E-10 mr1322 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
vg0141603890 NA 7.10E-06 mr1705 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
vg0141603890 NA 5.22E-07 mr1038_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
vg0141603890 NA 6.94E-14 mr1553_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
vg0141603890 NA 1.94E-06 mr1574_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
vg0141603890 NA 3.60E-08 mr1749_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
vg0141603890 NA 6.08E-08 mr1821_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
vg0141603890 NA 1.73E-07 mr1974_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
vg0141603890 NA 1.01E-06 mr1974_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