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Detailed information for vg0907214156:

Variant ID: vg0907214156 (JBrowse)	Variation Type: SNP
Chromosome: chr09	Position: 7214156
Reference Allele: T	Alternative Allele: C
Primary Allele: C	Secondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.77, T: 0.22, others allele: 0.00, population size: 103. )

Flanking Sequence (100 bp) in Reference Genome:

GTCAAAAAAAACGGGTTAAATCGGACACTATATACGGATGAAATAATGTCGATATTATATTTGTTTTCATATTCCTTTTTAAAATATTGTATTACAGTTT[T/C]
GACCCATTTTTATTGCCAAAGTTTTTACTTTGAGCCACCGTTAAATCAACTTTTTTTTTTATTTTGGATTGGGTAACTTGTGGTTATTTTTTCGGTTTGA

Reverse complement sequence

TCAAACCGAAAAAATAACCACAAGTTACCCAATCCAAAATAAAAAAAAAAGTTGATTTAACGGTGGCTCAAAGTAAAAACTTTGGCAATAAAAATGGGTC[A/G]
AAACTGTAATACAATATTTTAAAAAGGAATATGAAAACAAATATAATATCGACATTATTTCATCCGTATATAGTGTCCGATTTAACCCGTTTTTTTTGAC

Allele Frequencies:

Populations	Population Size	Frequency of C(primary allele)	Frequency of T(secondary allele)	Frequency of N	Frequency of DEL	Frequency of others Allele
All	4726	68.00%	31.90%	0.11%	0.00%	NA
All Indica	2759	98.10%	1.80%	0.11%	0.00%	NA
All Japonica	1512	12.40%	87.50%	0.07%	0.00%	NA
Aus	269	89.20%	10.80%	0.00%	0.00%	NA
Indica I	595	99.30%	0.70%	0.00%	0.00%	NA
Indica II	465	98.50%	1.50%	0.00%	0.00%	NA
Indica III	913	98.90%	1.00%	0.11%	0.00%	NA
Indica Intermediate	786	96.10%	3.70%	0.25%	0.00%	NA
Temperate Japonica	767	20.50%	79.50%	0.00%	0.00%	NA
Tropical Japonica	504	1.80%	98.20%	0.00%	0.00%	NA
Japonica Intermediate	241	9.10%	90.50%	0.41%	0.00%	NA
VI/Aromatic	96	39.60%	60.40%	0.00%	0.00%	NA
Intermediate	90	43.30%	55.60%	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
vg0907214156	T -> C	LOC_Os09g12590.1	upstream_gene_variant ; 4806.0bp to feature; MODIFIER	silent_mutation	Average:74.058; most accessible tissue: Minghui63 root, score: 84.686	N	N	N	N
vg0907214156	T -> C	LOC_Os09g12580.1	downstream_gene_variant ; 2830.0bp to feature; MODIFIER	silent_mutation	Average:74.058; most accessible tissue: Minghui63 root, score: 84.686	N	N	N	N
vg0907214156	T -> C	LOC_Os09g12570-LOC_Os09g12580	intergenic_region ; MODIFIER	silent_mutation	Average:74.058; most accessible tissue: Minghui63 root, score: 84.686	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)
vg0907214156	T	C	-0.01	-0.01	0.0	-0.01	-0.01	-0.01

Putative Genotype-Phenotype Associations:

Var ID	LMM P-value	LR P-value	Trait	Subpopulation	Is leadSNP	Publication
vg0907214156	NA	1.09E-07	mr1354	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
vg0907214156	1.25E-06	1.25E-06	mr1413	Jap_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
vg0907214156	NA	5.59E-16	mr1968	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
vg0907214156	NA	6.33E-09	mr1354_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
vg0907214156	NA	7.54E-06	mr1549_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
vg0907214156	NA	3.90E-06	mr1574_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
vg0907214156	NA	1.63E-14	mr1579_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
vg0907214156	NA	9.46E-12	mr1641_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
vg0907214156	NA	7.12E-15	mr1686_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
vg0907214156	NA	2.96E-17	mr1715_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
vg0907214156	7.82E-06	NA	mr1757_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
vg0907214156	NA	6.22E-06	mr1757_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
vg0907214156	NA	3.51E-25	mr1968_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
vg0907214156	NA	7.20E-06	mr1968_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