Search for Variation information by Variation ID:

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

Detailed information for vg0221968611:

Variant ID: vg0221968611 (JBrowse)Variation Type: INDEL
Chromosome: chr02Position: 21968611
Reference Allele: CAlternative Allele: CA,CCA,CCG,A,CCCA,CCCG
Primary Allele: CSecondary Allele: CA

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


CTCAAGGAGGCGGCCACGTCAAAATTGACAAATTCCACGTCGCGTCGCCGCCGCCAATGAGTACGTCTCACTAAAGAGCAGCTCAGTAACATCCCCCCCC[C/CA,CCA,CCG,A,CCCA,CCCG]
AGCACGCTCGCGTTGGTAAGGTGGGAACGGAGGTCCCTAGACCTCCCCAGTGGTCGAGCTCGGTGACGTCGCCGCCGTTGCCTAGCTCCCGCCGAACACC

Reverse complement sequence

GGTGTTCGGCGGGAGCTAGGCAACGGCGGCGACGTCACCGAGCTCGACCACTGGGGAGGTCTAGGGACCTCCGTTCCCACCTTACCAACGCGAGCGTGCT[G/TG,TGG,CGG,T,TGGG,CGGG]
GGGGGGGGATGTTACTGAGCTGCTCTTTAGTGAGACGTACTCATTGGCGGCGGCGACGCGACGTGGAATTTGTCAATTTTGACGTGGCCGCCTCCTTGAG

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of CA(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 35.00% 13.30% 17.46% 12.23% A: 8.59%; CCA: 8.02%; CCG: 3.17%; CCCG: 1.40%; CCCA: 0.83%
All Indica  2759 5.20% 20.90% 26.42% 19.79% CCA: 12.65%; A: 6.63%; CCG: 4.93%; CCCG: 2.10%; CCCA: 1.38%
All Japonica  1512 91.50% 0.30% 0.73% 0.60% A: 6.22%; CCA: 0.40%; CCCG: 0.13%; CCG: 0.13%
Aus  269 1.10% 14.50% 25.28% 3.35% A: 43.49%; CCA: 5.95%; CCG: 3.72%; CCCG: 2.23%; CCCA: 0.37%
Indica I  595 2.50% 8.10% 46.22% 5.04% CCA: 18.49%; CCG: 11.09%; A: 5.04%; CCCA: 3.19%; CCCG: 0.34%
Indica II  465 3.40% 13.10% 23.01% 40.00% CCA: 12.90%; A: 3.44%; CCG: 3.23%; CCCG: 0.86%
Indica III  913 4.30% 37.80% 14.68% 20.26% CCA: 9.97%; A: 6.35%; CCCG: 3.61%; CCG: 2.08%; CCCA: 0.99%
Indica Intermediate  786 9.30% 15.60% 27.10% 18.45% CCA: 11.20%; A: 10.05%; CCG: 4.58%; CCCG: 2.42%; CCCA: 1.27%
Temperate Japonica  767 98.20% 0.00% 0.78% 0.13% A: 0.39%; CCA: 0.39%; CCCG: 0.13%
Tropical Japonica  504 80.00% 0.80% 0.60% 1.39% A: 16.67%; CCG: 0.40%; CCCG: 0.20%
Japonica Intermediate  241 94.60% 0.00% 0.83% 0.41% A: 2.90%; CCA: 1.24%
VI/Aromatic  96 91.70% 1.00% 2.08% 0.00% A: 5.21%
Intermediate  90 38.90% 10.00% 16.67% 15.56% CCA: 8.89%; A: 7.78%; CCG: 2.22%

Allele Effect:

Var ID Var Locus snpEff Annotation CooVar Annotation Chromatin Accessibility Score PolyPhen-2 Effect PolyPhen-2 Score SIFT Effect SIFT Score
vg0221968611 C -> A LOC_Os02g36370.1 intron_variant ; MODIFIER silent_mutation Average:86.934; most accessible tissue: Minghui63 panicle, score: 93.053 N N N N
vg0221968611 C -> CCA LOC_Os02g36370.1 intron_variant ; MODIFIER silent_mutation Average:86.934; most accessible tissue: Minghui63 panicle, score: 93.053 N N N N
vg0221968611 C -> DEL N N silent_mutation Average:86.934; most accessible tissue: Minghui63 panicle, score: 93.053 N N N N
vg0221968611 C -> CCCA LOC_Os02g36370.1 intron_variant ; MODIFIER silent_mutation Average:86.934; most accessible tissue: Minghui63 panicle, score: 93.053 N N N N
vg0221968611 C -> CA LOC_Os02g36370.1 intron_variant ; MODIFIER silent_mutation Average:86.934; most accessible tissue: Minghui63 panicle, score: 93.053 N N N N
vg0221968611 C -> CCCG LOC_Os02g36370.1 intron_variant ; MODIFIER silent_mutation Average:86.934; most accessible tissue: Minghui63 panicle, score: 93.053 N N N N
vg0221968611 C -> CCG LOC_Os02g36370.1 intron_variant ; MODIFIER silent_mutation Average:86.934; most accessible tissue: Minghui63 panicle, score: 93.053 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)
vg0221968611 C A -0.03 -0.06 -0.04 -0.02 -0.02 -0.02
vg0221968611 C CA 0.09 0.04 0.0 0.01 0.01 0.06
vg0221968611 C CCA 0.22 0.02 -0.04 0.09 0.04 0.15
vg0221968611 C CCCA 0.17 0.03 -0.06 0.1 0.03 0.12
vg0221968611 C CCCG 0.18 0.03 -0.05 0.12 0.05 0.14
vg0221968611 C CCG 0.26 0.04 -0.01 0.12 0.08 0.19

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0221968611 NA 2.82E-16 mr1496 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
vg0221968611 NA 2.47E-06 mr1077_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
vg0221968611 1.61E-07 3.92E-10 mr1123_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
vg0221968611 NA 2.25E-07 mr1242_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
vg0221968611 NA 9.15E-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
vg0221968611 4.03E-06 5.14E-15 mr1496_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
vg0221968611 2.44E-07 2.15E-10 mr1496_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
vg0221968611 4.46E-06 2.96E-07 mr1936_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