Search for Variation information by Variation ID:

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

Detailed information for vg1010751750:

Variant ID: vg1010751750 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 10751750
Reference Allele: CAlternative Allele: G
Primary Allele: CSecondary Allele: G

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


CGACGACGACGACGACGGGTGCTGTATAACGACGGCCGCCGCGTCGGCCGCCTGGCAGTTCCCCATCTCAACAACTACCTCCGCCGCCGGCAGAAGCGAG[C/G]
AAGGTCGTCGTCGGCGGCGGCGGCGAGCGATCGAGCGAGGCGTGGTGGGGGGCGGCTGAGTTAATGGAAGGTGGAGGTGATCGATGGCGCGAGGTTTGGT

Reverse complement sequence

ACCAAACCTCGCGCCATCGATCACCTCCACCTTCCATTAACTCAGCCGCCCCCCACCACGCCTCGCTCGATCGCTCGCCGCCGCCGCCGACGACGACCTT[G/C]
CTCGCTTCTGCCGGCGGCGGAGGTAGTTGTTGAGATGGGGAACTGCCAGGCGGCCGACGCGGCGGCCGTCGTTATACAGCACCCGTCGTCGTCGTCGTCG

Allele Frequencies:

Populations Population SizeFrequency of C(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 93.30% 6.70% 0.00% 0.00% NA
All Indica  2759 99.90% 0.10% 0.00% 0.00% NA
All Japonica  1512 79.60% 20.40% 0.00% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 99.80% 0.20% 0.00% 0.00% NA
Indica II  465 99.80% 0.20% 0.00% 0.00% NA
Indica III  913 100.00% 0.00% 0.00% 0.00% NA
Indica Intermediate  786 99.90% 0.10% 0.00% 0.00% NA
Temperate Japonica  767 73.70% 26.30% 0.00% 0.00% NA
Tropical Japonica  504 96.20% 3.80% 0.00% 0.00% NA
Japonica Intermediate  241 63.90% 36.10% 0.00% 0.00% NA
VI/Aromatic  96 100.00% 0.00% 0.00% 0.00% NA
Intermediate  90 91.10% 8.90% 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
vg1010751750 C -> G LOC_Os10g21130.1 5_prime_UTR_variant ; 35.0bp to feature; MODIFIER silent_mutation Average:82.755; most accessible tissue: Minghui63 young leaf, score: 94.364 N N N N
vg1010751750 C -> G LOC_Os10g21140.1 upstream_gene_variant ; 1177.0bp to feature; MODIFIER silent_mutation Average:82.755; most accessible tissue: Minghui63 young leaf, score: 94.364 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)
vg1010751750 C G 0.02 0.04 0.04 0.0 0.01 0.01

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1010751750 2.37E-06 NA mr1210 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
vg1010751750 1.57E-06 NA mr1305 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
vg1010751750 NA 4.45E-07 mr1585 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
vg1010751750 1.24E-07 NA mr1586 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
vg1010751750 NA 1.70E-06 mr1586 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
vg1010751750 1.80E-07 NA mr1305_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
vg1010751750 NA 1.33E-06 mr1305_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
vg1010751750 3.33E-06 3.33E-06 mr1360_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
vg1010751750 9.49E-09 2.28E-08 mr1585_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
vg1010751750 NA 4.85E-09 mr1585_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
vg1010751750 3.13E-06 NA mr1645_2 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
vg1010751750 4.27E-07 NA mr1647_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
vg1010751750 9.29E-06 9.29E-06 mr1647_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
vg1010751750 3.89E-06 NA mr1765_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
vg1010751750 NA 7.48E-07 mr1765_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