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Detailed information for vg1022845266:

Variant ID: vg1022845266 (JBrowse)	Variation Type: SNP
Chromosome: chr10	Position: 22845266
Reference Allele: G	Alternative Allele: A
Primary Allele: G	Secondary Allele: A

Inferred Ancestral Allele: Not determined.

Flanking Sequence (100 bp) in Reference Genome:

CGTGTTCCACGCGCTCGCTCGCTACGTCCACTACCAAGTCGATCGTACGGTAATACTAGTATGTAGGAGTACATACTACTCCATACTCATGAAAGAAGTC[G/A]
TTTAGGATAATGTTTAAGTCAAACTTTAGGAATATAAATCATGAATAACTCTTAAGTTATTGAGTTTGAAAATGTAAAAAATTATATGTATAGATTTGTT

Reverse complement sequence

AACAAATCTATACATATAATTTTTTACATTTTCAAACTCAATAACTTAAGAGTTATTCATGATTTATATTCCTAAAGTTTGACTTAAACATTATCCTAAA[C/T]
GACTTCTTTCATGAGTATGGAGTAGTATGTACTCCTACATACTAGTATTACCGTACGATCGACTTGGTAGTGGACGTAGCGAGCGAGCGCGTGGAACACG

Allele Frequencies:

Populations	Population Size	Frequency of G(primary allele)	Frequency of A(secondary allele)	Frequency of N	Frequency of DEL	Frequency of others Allele
All	4726	94.70%	5.20%	0.08%	0.00%	NA
All Indica	2759	99.70%	0.30%	0.00%	0.00%	NA
All Japonica	1512	89.70%	10.10%	0.20%	0.00%	NA
Aus	269	99.60%	0.40%	0.00%	0.00%	NA
Indica I	595	100.00%	0.00%	0.00%	0.00%	NA
Indica II	465	99.10%	0.90%	0.00%	0.00%	NA
Indica III	913	99.90%	0.10%	0.00%	0.00%	NA
Indica Intermediate	786	99.70%	0.30%	0.00%	0.00%	NA
Temperate Japonica	767	97.80%	2.10%	0.13%	0.00%	NA
Tropical Japonica	504	81.90%	17.90%	0.20%	0.00%	NA
Japonica Intermediate	241	80.50%	19.10%	0.41%	0.00%	NA
VI/Aromatic	96	20.80%	79.20%	0.00%	0.00%	NA
Intermediate	90	86.70%	12.20%	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
vg1022845266	G -> A	LOC_Os10g42420.1	upstream_gene_variant ; 4523.0bp to feature; MODIFIER	silent_mutation	Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125	N	N	N	N
vg1022845266	G -> A	LOC_Os10g42420-LOC_Os10g42430	intergenic_region ; MODIFIER	silent_mutation	Average:4.21; most accessible tissue: Minghui63 panicle, score: 7.125	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)
vg1022845266	G	A	-0.04	-0.06	-0.06	-0.01	-0.03	-0.03

Putative Genotype-Phenotype Associations:

Var ID	LMM P-value	LR P-value	Trait	Subpopulation	Is leadSNP	Publication
vg1022845266	8.20E-06	7.24E-06	mr1044	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
vg1022845266	1.24E-06	1.18E-09	mr1057	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
vg1022845266	NA	8.58E-06	mr1057	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
vg1022845266	1.71E-06	1.71E-06	mr1651	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
vg1022845266	3.46E-06	NA	mr1715	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
vg1022845266	5.02E-06	NA	mr1735	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
vg1022845266	NA	7.12E-07	mr1866	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
vg1022845266	NA	3.14E-09	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
vg1022845266	NA	5.29E-06	mr1546_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