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Detailed information for vg0501780326:

Variant ID: vg0501780326 (JBrowse)	Variation Type: SNP
Chromosome: chr05	Position: 1780326
Reference Allele: C	Alternative Allele: T
Primary Allele: C	Secondary Allele: T

Inferred Ancestral Allele : C (evidence from allele frequency in Oryza rufipogon: C: 0.80, T: 0.20, others allele: 0.00, population size: 61. )

Flanking Sequence (100 bp) in Reference Genome:

CCCAAATCTTAAGTTACATATACACACAAATCAAATACATCACAAATCCTAAAAAAATACGCACAAATCAGATACATCAAAAATCCTAAAAAATAACACA[C/T]
AAATTAAATACATCACAGATTATACATCTCAGATCCATGCAATGAATCACAAAATTATACATCTCAATTAATCACAAATTATCCAAAAAAAAGAGAGGAT

Reverse complement sequence

ATCCTCTCTTTTTTTTGGATAATTTGTGATTAATTGAGATGTATAATTTTGTGATTCATTGCATGGATCTGAGATGTATAATCTGTGATGTATTTAATTT[G/A]
TGTGTTATTTTTTAGGATTTTTGATGTATCTGATTTGTGCGTATTTTTTTAGGATTTGTGATGTATTTGATTTGTGTGTATATGTAACTTAAGATTTGGG

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	57.70%	24.30%	0.97%	17.03%	NA
All Indica	2759	64.30%	29.70%	0.29%	5.76%	NA
All Japonica	1512	52.20%	4.60%	1.92%	41.34%	NA
Aus	269	10.80%	88.10%	1.12%	0.00%	NA
Indica I	595	98.50%	1.50%	0.00%	0.00%	NA
Indica II	465	68.40%	28.00%	0.00%	3.66%	NA
Indica III	913	37.00%	50.20%	0.44%	12.38%	NA
Indica Intermediate	786	67.60%	28.20%	0.51%	3.69%	NA
Temperate Japonica	767	68.80%	0.50%	1.56%	29.07%	NA
Tropical Japonica	504	33.10%	8.70%	2.58%	55.56%	NA
Japonica Intermediate	241	39.00%	8.70%	1.66%	50.62%	NA
VI/Aromatic	96	90.60%	7.30%	2.08%	0.00%	NA
Intermediate	90	52.20%	20.00%	4.44%	23.33%	NA

Allele Effect:

Var ID	Var	Locus	snpEff Annotation	CooVar Annotation	Chromatin Accessibility Score	PolyPhen-2 Effect	PolyPhen-2 Score	SIFT Effect	SIFT Score
vg0501780326	C -> T	LOC_Os05g03960.1	upstream_gene_variant ; 1815.0bp to feature; MODIFIER	silent_mutation	Average:48.796; most accessible tissue: Minghui63 young leaf, score: 97.588	N	N	N	N
vg0501780326	C -> T	LOC_Os05g03950.1	downstream_gene_variant ; 2667.0bp to feature; MODIFIER	silent_mutation	Average:48.796; most accessible tissue: Minghui63 young leaf, score: 97.588	N	N	N	N
vg0501780326	C -> T	LOC_Os05g03972.1	downstream_gene_variant ; 4810.0bp to feature; MODIFIER	silent_mutation	Average:48.796; most accessible tissue: Minghui63 young leaf, score: 97.588	N	N	N	N
vg0501780326	C -> T	LOC_Os05g03950-LOC_Os05g03960	intergenic_region ; MODIFIER	silent_mutation	Average:48.796; most accessible tissue: Minghui63 young leaf, score: 97.588	N	N	N	N
vg0501780326	C -> DEL	N	N	silent_mutation	Average:48.796; most accessible tissue: Minghui63 young leaf, score: 97.588	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)
vg0501780326	C	T	-0.01	-0.01	0.0	0.0	0.0	0.0

Putative Genotype-Phenotype Associations:

Var ID	LMM P-value	LR P-value	Trait	Subpopulation	Is leadSNP	Publication
vg0501780326	NA	1.71E-06	mr1510	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
vg0501780326	NA	1.72E-07	mr1522_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
vg0501780326	NA	6.53E-06	mr1527_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
vg0501780326	NA	1.42E-07	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
vg0501780326	NA	8.15E-06	mr1578_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
vg0501780326	3.80E-06	NA	mr1754_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
vg0501780326	NA	6.00E-06	mr1754_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
vg0501780326	NA	7.37E-19	mr1817_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
vg0501780326	NA	8.64E-09	mr1952_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
vg0501780326	3.09E-06	1.42E-09	mr1952_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