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Detailed information for vg0141727155:

Variant ID: vg0141727155 (JBrowse)	Variation Type: SNP
Chromosome: chr01	Position: 41727155
Reference Allele: A	Alternative Allele: G
Primary Allele: A	Secondary Allele: G

Inferred Ancestral Allele : A (evidence from allele frequency in Oryza rufipogon: A: 0.98, G: 0.02, others allele: 0.00, population size: 254. )

Flanking Sequence (100 bp) in Reference Genome:

AGAAAACGTATGAGTATGATAAGGTTGCTGCATGTGAAAAAAATGAAGGATTAGAAAACCGAATATTTTGTAGGTTTGGATATTCAGAACACAGGAATAG[A/G]
AAATGGAGGATTAGAACACATGATTCTATCCTATGATAGCCAACGATGAATAAAAAAAAAACAGAGGTTTCGGAATCCCGTGTTTCCATGCGATTTGTAG

Reverse complement sequence

CTACAAATCGCATGGAAACACGGGATTCCGAAACCTCTGTTTTTTTTTTATTCATCGTTGGCTATCATAGGATAGAATCATGTGTTCTAATCCTCCATTT[T/C]
CTATTCCTGTGTTCTGAATATCCAAACCTACAAAATATTCGGTTTTCTAATCCTTCATTTTTTTCACATGCAGCAACCTTATCATACTCATACGTTTTCT

Allele Frequencies:

Populations	Population Size	Frequency of A(primary allele)	Frequency of G(secondary allele)	Frequency of N	Frequency of DEL	Frequency of others Allele
All	4726	70.50%	29.40%	0.08%	0.00%	NA
All Indica	2759	52.00%	47.80%	0.14%	0.00%	NA
All Japonica	1512	97.60%	2.40%	0.00%	0.00%	NA
Aus	269	96.30%	3.70%	0.00%	0.00%	NA
Indica I	595	84.70%	15.30%	0.00%	0.00%	NA
Indica II	465	26.00%	73.50%	0.43%	0.00%	NA
Indica III	913	36.60%	63.40%	0.00%	0.00%	NA
Indica Intermediate	786	60.70%	39.10%	0.25%	0.00%	NA
Temperate Japonica	767	99.70%	0.30%	0.00%	0.00%	NA
Tropical Japonica	504	93.50%	6.50%	0.00%	0.00%	NA
Japonica Intermediate	241	99.20%	0.80%	0.00%	0.00%	NA
VI/Aromatic	96	100.00%	0.00%	0.00%	0.00%	NA
Intermediate	90	75.60%	24.40%	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
vg0141727155	A -> G	LOC_Os01g72000.1	upstream_gene_variant ; 903.0bp to feature; MODIFIER	silent_mutation	Average:90.755; most accessible tissue: Minghui63 young leaf, score: 96.776	N	N	N	N
vg0141727155	A -> G	LOC_Os01g72009.1	downstream_gene_variant ; 1496.0bp to feature; MODIFIER	silent_mutation	Average:90.755; most accessible tissue: Minghui63 young leaf, score: 96.776	N	N	N	N
vg0141727155	A -> G	LOC_Os01g72000-LOC_Os01g72009	intergenic_region ; MODIFIER	silent_mutation	Average:90.755; most accessible tissue: Minghui63 young leaf, score: 96.776	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)
vg0141727155	A	G	-0.04	-0.01	-0.01	-0.01	-0.01	0.0

Putative Genotype-Phenotype Associations:

Var ID	LMM P-value	LR P-value	Trait	Subpopulation	Is leadSNP	Publication
vg0141727155	NA	2.08E-06	mr1621	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
vg0141727155	NA	6.33E-06	mr1651	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
vg0141727155	NA	9.68E-06	mr1727	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
vg0141727155	NA	1.58E-06	mr1749	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
vg0141727155	NA	5.60E-07	mr1761	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
vg0141727155	NA	6.95E-10	mr1794	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
vg0141727155	5.19E-06	1.92E-11	mr1974	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
vg0141727155	2.34E-06	6.36E-13	mr1974	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
vg0141727155	NA	1.54E-10	mr1322_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
vg0141727155	NA	2.62E-12	mr1527_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
vg0141727155	NA	8.64E-08	mr1527_2	Ind_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
vg0141727155	NA	2.78E-06	mr1834_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
vg0141727155	NA	5.32E-08	mr1974_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
vg0141727155	NA	4.46E-07	mr1974_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