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Detailed information for vg0917104147:

Variant ID: vg0917104147 (JBrowse)Variation Type: SNP
Chromosome: chr09Position: 17104147
Reference Allele: CAlternative Allele: T
Primary Allele: TSecondary Allele: C

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:


AGATTCGTCTTATAATTTACACGCAATCTGTATATTAGTTTTTTCTCTAATTATAATATTTCATACATATATAACATTCGAACATATATAACATTCGATG[C/T]
GATCGTGCGAAAAATTTTGCCGGCGGATCTAAACAGCCCCTCGCAAGGAAAAGAAGGGTCGACACAACCTCGGAAGTCGTGCACTCATATCTTTATTATT

Reverse complement sequence

AATAATAAAGATATGAGTGCACGACTTCCGAGGTTGTGTCGACCCTTCTTTTCCTTGCGAGGGGCTGTTTAGATCCGCCGGCAAAATTTTTCGCACGATC[G/A]
CATCGAATGTTATATATGTTCGAATGTTATATATGTATGAAATATTATAATTAGAGAAAAAACTAATATACAGATTGCGTGTAAATTATAAGACGAATCT

Allele Frequencies:

Populations Population SizeFrequency of T(primary allele) Frequency of C(secondary allele) Frequency of N Frequency of DEL Frequency of others Allele
All  4726 84.00% 15.90% 0.02% 0.00% NA
All Indica  2759 99.40% 0.60% 0.00% 0.00% NA
All Japonica  1512 52.70% 47.20% 0.07% 0.00% NA
Aus  269 100.00% 0.00% 0.00% 0.00% NA
Indica I  595 100.00% 0.00% 0.00% 0.00% NA
Indica II  465 97.40% 2.60% 0.00% 0.00% NA
Indica III  913 99.90% 0.10% 0.00% 0.00% NA
Indica Intermediate  786 99.60% 0.40% 0.00% 0.00% NA
Temperate Japonica  767 21.30% 78.60% 0.13% 0.00% NA
Tropical Japonica  504 94.80% 5.20% 0.00% 0.00% NA
Japonica Intermediate  241 64.70% 35.30% 0.00% 0.00% NA
VI/Aromatic  96 96.90% 3.10% 0.00% 0.00% NA
Intermediate  90 77.80% 22.20% 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
vg0917104147 C -> T LOC_Os09g28190.1 upstream_gene_variant ; 2499.0bp to feature; MODIFIER silent_mutation Average:84.653; most accessible tissue: Zhenshan97 panicle, score: 97.468 N N N N
vg0917104147 C -> T LOC_Os09g28180-LOC_Os09g28190 intergenic_region ; MODIFIER silent_mutation Average:84.653; most accessible tissue: Zhenshan97 panicle, score: 97.468 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)
vg0917104147 C T -0.02 -0.02 0.0 0.01 -0.01 -0.02

Putative Genotype-Phenotype Associations:

Var ID LMM P-value LR P-value Trait Subpopulation Is leadSNP Publication
vg0917104147 4.18E-10 NA 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
vg0917104147 NA 2.18E-15 mr1182 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
vg0917104147 NA 1.97E-07 mr1182 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
vg0917104147 NA 3.22E-13 mr1282 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
vg0917104147 NA 6.85E-07 mr1282 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
vg0917104147 NA 3.82E-06 mr1530 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
vg0917104147 NA 4.83E-14 mr1650 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
vg0917104147 NA 8.37E-06 mr1650 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
vg0917104147 NA 7.41E-12 mr1658 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
vg0917104147 NA 3.66E-06 mr1658 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
vg0917104147 NA 2.57E-12 mr1667 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
vg0917104147 6.83E-07 NA mr1057_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
vg0917104147 NA 1.86E-08 mr1057_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
vg0917104147 NA 5.15E-15 mr1182_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
vg0917104147 NA 1.06E-07 mr1182_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
vg0917104147 NA 6.78E-12 mr1282_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
vg0917104147 NA 2.52E-06 mr1282_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
vg0917104147 4.66E-07 NA mr1563_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
vg0917104147 1.16E-06 NA mr1733_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
vg0917104147 NA 1.93E-06 mr1905_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