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Detailed information for vg1018666716:

Variant ID: vg1018666716 (JBrowse)Variation Type: SNP
Chromosome: chr10Position: 18666716
Reference Allele: GAlternative Allele: A
Primary Allele: ASecondary Allele: G

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.73, G: 0.26, others allele: 0.00, population size: 209. )

Flanking Sequence (100 bp) in Reference Genome:


GGAGCACCGCAAGCTCTTCCTTGCGGTGCTCATGCTTTCCCTTCTTAGGTGTCGCGTACGCCTTCTTCTTTCGCTTCTTGTTGCCGCCGCCGCCACCACA[G/A]
ATGCGACCGAGGAGGTGCAGCGTCGACTCCTCCTGAATACCATAGTAGATTAGCGTGTGGCCGTCGTCCAGCTGATGCCCCTGGAAGATGAGCGGCTGCT

Reverse complement sequence

AGCAGCCGCTCATCTTCCAGGGGCATCAGCTGGACGACGGCCACACGCTAATCTACTATGGTATTCAGGAGGAGTCGACGCTGCACCTCCTCGGTCGCAT[C/T]
TGTGGTGGCGGCGGCGGCAACAAGAAGCGAAAGAAGAAGGCGTACGCGACACCTAAGAAGGGAAAGCATGAGCACCGCAAGGAAGAGCTTGCGGTGCTCC

Allele Frequencies:

Populations Population SizeFrequency of A(primary allele) Frequency of G(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 69.90% 29.80% 0.11% 0.19% NA
All Indica  2759 97.50% 2.20% 0.07% 0.25% NA
All Japonica  1512 23.30% 76.50% 0.07% 0.13% NA
Aus  269 71.40% 28.30% 0.37% 0.00% NA
Indica I  595 97.80% 1.80% 0.00% 0.34% NA
Indica II  465 99.60% 0.40% 0.00% 0.00% NA
Indica III  913 96.40% 3.40% 0.00% 0.22% NA
Indica Intermediate  786 97.30% 2.00% 0.25% 0.38% NA
Temperate Japonica  767 5.00% 94.80% 0.13% 0.13% NA
Tropical Japonica  504 56.50% 43.50% 0.00% 0.00% NA
Japonica Intermediate  241 12.00% 87.60% 0.00% 0.41% NA
VI/Aromatic  96 8.30% 91.70% 0.00% 0.00% NA
Intermediate  90 66.70% 32.20% 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
vg1018666716 G -> A LOC_Os10g34990.1 synonymous_variant ; p.Ile78Ile; LOW synonymous_codon Average:93.553; most accessible tissue: Callus, score: 98.185 N N N N
vg1018666716 G -> DEL LOC_Os10g34990.1 N frameshift_variant Average:93.553; most accessible tissue: Callus, score: 98.185 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)
vg1018666716 G A -0.03 -0.02 -0.06 -0.03 -0.03 -0.03

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg1018666716 NA 1.59E-16 Awn_length 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
vg1018666716 NA 2.91E-10 mr1017 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
vg1018666716 NA 2.25E-07 mr1129 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
vg1018666716 NA 8.28E-07 mr1243 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
vg1018666716 NA 1.54E-06 mr1308 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
vg1018666716 NA 2.07E-11 mr1435 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
vg1018666716 NA 3.13E-07 mr1599 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
vg1018666716 2.20E-08 2.52E-51 mr1771 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
vg1018666716 NA 1.25E-19 mr1771 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
vg1018666716 9.35E-07 9.97E-43 mr1784 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
vg1018666716 NA 3.61E-16 mr1784 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
vg1018666716 NA 2.69E-10 mr1800 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
vg1018666716 NA 5.93E-26 mr1862 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
vg1018666716 NA 4.14E-08 mr1862 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
vg1018666716 NA 1.82E-15 mr1217_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
vg1018666716 NA 1.90E-22 mr1304_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
vg1018666716 NA 1.57E-20 mr1308_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
vg1018666716 NA 6.04E-07 mr1308_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
vg1018666716 NA 2.78E-08 mr1376_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
vg1018666716 NA 4.28E-22 mr1401_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
vg1018666716 NA 2.29E-08 mr1431_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
vg1018666716 NA 5.40E-06 mr1553_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
vg1018666716 NA 4.19E-14 mr1575_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
vg1018666716 NA 1.42E-06 mr1623_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
vg1018666716 NA 8.29E-07 mr1632_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
vg1018666716 NA 1.82E-06 mr1705_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
vg1018666716 NA 6.73E-45 mr1771_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
vg1018666716 NA 7.17E-14 mr1771_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
vg1018666716 NA 1.21E-44 mr1784_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
vg1018666716 NA 4.76E-15 mr1784_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
vg1018666716 NA 5.89E-12 mr1800_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
vg1018666716 NA 2.09E-07 mr1817_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
vg1018666716 NA 2.30E-42 mr1862_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
vg1018666716 NA 1.30E-12 mr1862_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
vg1018666716 NA 7.65E-08 mr1885_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