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Detailed information for vg1126878566:

Variant ID: vg1126878566 (JBrowse)Variation Type: INDEL
Chromosome: chr11Position: 26878566
Reference Allele: CGTAAlternative Allele: AGTA,C,GGTA
Primary Allele: AGTASecondary Allele: CGTA

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


ACTCAAGCATCACAACACCGAAACCGTAGATATCGACTGACGGGTTCAGAATGCCTGTCATAACGTACTCCGGTGCCGCGTATCCGTACGTGCCAACAAC[CGTA/AGTA,C,GGTA]
TCCTCATGGCCTGGGCCTTCCCAGGTGAGCGCCAACCCGAAGTCCGTCAAGCGCGGCACCCAGTTGCCATCGAGGAGGATGTTGGACGGCTTGATGTCAC

Reverse complement sequence

GTGACATCAAGCCGTCCAACATCCTCCTCGATGGCAACTGGGTGCCGCGCTTGACGGACTTCGGGTTGGCGCTCACCTGGGAAGGCCCAGGCCATGAGGA[TACG/TACT,G,TACC]
GTTGTTGGCACGTACGGATACGCGGCACCGGAGTACGTTATGACAGGCATTCTGAACCCGTCAGTCGATATCTACGGTTTCGGTGTTGTGATGCTTGAGT

Allele Frequencies:

Populations Population SizeFrequency of AGTA(primary allele) Frequency of CGTA(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 46.00% 38.20% 3.51% 7.74% C: 4.40%; GGTA: 0.13%
All Indica  2759 46.90% 33.30% 4.75% 11.05% C: 3.84%; GGTA: 0.18%
All Japonica  1512 44.00% 51.10% 0.40% 1.98% C: 2.51%
Aus  269 59.10% 20.80% 8.55% 10.41% C: 1.12%
Indica I  595 23.90% 38.00% 17.14% 12.94% C: 7.73%; GGTA: 0.34%
Indica II  465 61.30% 34.40% 0.65% 0.65% C: 2.58%; GGTA: 0.43%
Indica III  913 52.20% 34.20% 0.55% 11.50% C: 1.53%
Indica Intermediate  786 49.60% 28.00% 2.67% 15.27% C: 4.33%; GGTA: 0.13%
Temperate Japonica  767 22.40% 74.70% 0.26% 0.91% C: 1.69%
Tropical Japonica  504 70.60% 24.60% 0.00% 1.19% C: 3.57%
Japonica Intermediate  241 57.30% 31.10% 1.66% 7.05% C: 2.90%
VI/Aromatic  96 21.90% 18.80% 2.08% 0.00% C: 57.29%
Intermediate  90 37.80% 46.70% 4.44% 3.33% C: 6.67%; GGTA: 1.11%

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg1126878566 CGTA -> GGTA LOC_Os11g44430.1 synonymous_variant ; p.Thr377Thr; LOW synonymous_codon Average:74.324; most accessible tissue: Zhenshan97 root, score: 89.905 N N N N
vg1126878566 CGTA -> GGTA LOC_Os11g44430.1 synonymous_variant ; p.Thr377Thr; LOW nonsynonymous_codon ; T377A Average:74.324; most accessible tissue: Zhenshan97 root, score: 89.905 benign -0.097 N N
vg1126878566 CGTA -> AGTA LOC_Os11g44430.1 synonymous_variant ; p.Thr377Thr; LOW synonymous_codon Average:74.324; most accessible tissue: Zhenshan97 root, score: 89.905 N N N N
vg1126878566 CGTA -> AGTA LOC_Os11g44430.1 synonymous_variant ; p.Thr377Thr; LOW nonsynonymous_codon ; T377A Average:74.324; most accessible tissue: Zhenshan97 root, score: 89.905 benign -0.097 N N
vg1126878566 CGTA -> DEL LOC_Os11g44430.1 N frameshift_variant Average:74.324; most accessible tissue: Zhenshan97 root, score: 89.905 N N N N
vg1126878566 CGTA -> C LOC_Os11g44430.1 disruptive_inframe_deletion ; p.Asp376_Thr377delinsGlu; MODERATE inframe_variant Average:74.324; most accessible tissue: Zhenshan97 root, score: 89.905 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)
vg1126878566 CGTA AGTA 0.0 -0.02 -0.01 0.02 0.01 0.02
vg1126878566 CGTA C 0.66 0.33 0.18 0.17 0.36 0.32
vg1126878566 CGTA GGTA 0.0 -0.02 -0.01 0.0 0.01 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1126878566 NA 4.12E-07 mr1133 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
vg1126878566 NA 7.80E-06 mr1332 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
vg1126878566 9.92E-06 4.64E-06 mr1291_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
vg1126878566 4.05E-06 4.93E-09 mr1553_2 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
vg1126878566 NA 7.43E-08 mr1662_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