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Detailed information for vg1202888107:

Variant ID: vg1202888107 (JBrowse)	Variation Type: SNP
Chromosome: chr12	Position: 2888107
Reference Allele: A	Alternative Allele: G
Primary Allele: A	Secondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.84, A: 0.16, others allele: 0.00, population size: 103. )

Flanking Sequence (100 bp) in Reference Genome:

CGACGGTGCCAGCGGCCTCGTCGTCACCGAAGCTGGAGGCCCACTCCTCCTCCTCCTCATCCTCCGCCGAGAGGTGCTTCTCGTCGTCGGAGTTGTAGTC[A/G]
TGGGCGCGCTTGCGAAGTAGCTTGAAGATCCGCGACGGCGACAACCTTGCGGCCGCTGGTGATGGGAAAGAGAGAGAGAGGGAGAGAGAGAAGCGAGCGG

Reverse complement sequence

CCGCTCGCTTCTCTCTCTCCCTCTCTCTCTCTTTCCCATCACCAGCGGCCGCAAGGTTGTCGCCGTCGCGGATCTTCAAGCTACTTCGCAAGCGCGCCCA[T/C]
GACTACAACTCCGACGACGAGAAGCACCTCTCGGCGGAGGATGAGGAGGAGGAGGAGTGGGCCTCCAGCTTCGGTGACGACGAGGCCGCTGGCACCGTCG

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	73.70%	23.00%	1.50%	1.78%	NA
All Indica	2759	66.00%	28.60%	2.36%	3.01%	NA
All Japonica	1512	96.70%	3.20%	0.07%	0.07%	NA
Aus	269	10.00%	89.20%	0.74%	0.00%	NA
Indica I	595	90.10%	9.10%	0.84%	0.00%	NA
Indica II	465	38.90%	52.90%	4.73%	3.44%	NA
Indica III	913	65.50%	27.40%	2.30%	4.82%	NA
Indica Intermediate	786	64.50%	30.40%	2.16%	2.93%	NA
Temperate Japonica	767	99.20%	0.70%	0.00%	0.13%	NA
Tropical Japonica	504	98.20%	1.60%	0.20%	0.00%	NA
Japonica Intermediate	241	85.50%	14.50%	0.00%	0.00%	NA
VI/Aromatic	96	99.00%	1.00%	0.00%	0.00%	NA
Intermediate	90	84.40%	12.20%	3.33%	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
vg1202888107	A -> DEL	N	N	silent_mutation	Average:88.463; most accessible tissue: Zhenshan97 panicle, score: 96.043	N	N	N	N
vg1202888107	A -> G	LOC_Os12g06140.1	downstream_gene_variant ; 1138.0bp to feature; MODIFIER	silent_mutation	Average:88.463; most accessible tissue: Zhenshan97 panicle, score: 96.043	N	N	N	N
vg1202888107	A -> G	LOC_Os12g06140-LOC_Os12g06150	intergenic_region ; MODIFIER	silent_mutation	Average:88.463; most accessible tissue: Zhenshan97 panicle, score: 96.043	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)
vg1202888107	A	G	-0.01	-0.01	-0.01	-0.01	-0.02	-0.02

Putative Genotype-Phenotype Associations:

Var ID	LMM P-value	LR P-value	Trait	Subpopulation	Is leadSNP	Publication
vg1202888107	NA	8.21E-06	mr1188	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
vg1202888107	NA	5.68E-06	mr1231	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
vg1202888107	NA	3.38E-10	mr1232	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
vg1202888107	NA	4.81E-19	mr1557	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
vg1202888107	NA	1.13E-07	mr1557	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
vg1202888107	NA	2.02E-10	mr1565	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
vg1202888107	NA	3.20E-10	mr1565	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
vg1202888107	NA	2.27E-08	mr1659	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
vg1202888107	NA	4.49E-07	mr1188_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
vg1202888107	NA	4.01E-08	mr1438_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
vg1202888107	NA	9.56E-06	mr1539_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
vg1202888107	NA	1.52E-16	mr1557_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
vg1202888107	NA	1.14E-07	mr1557_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
vg1202888107	NA	3.79E-09	mr1565_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