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Detailed information for vg1013542818:

Variant ID: vg1013542818 (JBrowse)	Variation Type: SNP
Chromosome: chr10	Position: 13542818
Reference Allele: G	Alternative Allele: A
Primary Allele: A	Secondary Allele: G

Inferred Ancestral Allele : G (evidence from allele frequency in Oryza rufipogon: G: 0.98, A: 0.03, others allele: 0.00, population size: 109. )

Flanking Sequence (100 bp) in Reference Genome:

GCATGCATCCAATAAAATTAAAGAGCTTGAGAGTGTATGATTTAAAAAAGTAATAATTTATTGAAGAAGTGGTCATAGTTAATTGCCTACATACATACAT[G/A]
TCTTATATTATAGAACATCTAAAAAAATAGTTGTGCCTTATATTATAGCATGGAGGGAGTAATAATCTAGAGAAACAAACAGCCAACAATTTATTCTATG

Reverse complement sequence

CATAGAATAAATTGTTGGCTGTTTGTTTCTCTAGATTATTACTCCCTCCATGCTATAATATAAGGCACAACTATTTTTTTAGATGTTCTATAATATAAGA[C/T]
ATGTATGTATGTAGGCAATTAACTATGACCACTTCTTCAATAAATTATTACTTTTTTAAATCATACACTCTCAAGCTCTTTAATTTTATTGGATGCATGC

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	66.90%	33.00%	0.04%	0.00%	NA
All Indica	2759	97.30%	2.70%	0.00%	0.00%	NA
All Japonica	1512	27.10%	72.80%	0.07%	0.00%	NA
Aus	269	9.70%	90.30%	0.00%	0.00%	NA
Indica I	595	100.00%	0.00%	0.00%	0.00%	NA
Indica II	465	95.30%	4.70%	0.00%	0.00%	NA
Indica III	913	97.90%	2.10%	0.00%	0.00%	NA
Indica Intermediate	786	95.70%	4.30%	0.00%	0.00%	NA
Temperate Japonica	767	5.60%	94.40%	0.00%	0.00%	NA
Tropical Japonica	504	51.40%	48.60%	0.00%	0.00%	NA
Japonica Intermediate	241	44.80%	54.80%	0.41%	0.00%	NA
VI/Aromatic	96	1.00%	99.00%	0.00%	0.00%	NA
Intermediate	90	46.70%	52.20%	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
vg1013542818	G -> A	LOC_Os10g26130.1	upstream_gene_variant ; 355.0bp to feature; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	N	N	N	N
vg1013542818	G -> A	LOC_Os10g26140.1	upstream_gene_variant ; 590.0bp to feature; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	N	N	N	N
vg1013542818	G -> A	LOC_Os10g26145.1	upstream_gene_variant ; 822.0bp to feature; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	N	N	N	N
vg1013542818	G -> A	LOC_Os10g26130.2	upstream_gene_variant ; 383.0bp to feature; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	N	N	N	N
vg1013542818	G -> A	LOC_Os10g26130.3	upstream_gene_variant ; 355.0bp to feature; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	N	N	N	N
vg1013542818	G -> A	LOC_Os10g26140.3	upstream_gene_variant ; 590.0bp to feature; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	N	N	N	N
vg1013542818	G -> A	LOC_Os10g26140.2	upstream_gene_variant ; 623.0bp to feature; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	N	N	N	N
vg1013542818	G -> A	LOC_Os10g26130-LOC_Os10g26140	intergenic_region ; MODIFIER	silent_mutation	Average:92.59; most accessible tissue: Zhenshan97 flag leaf, score: 95.2	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)
vg1013542818	G	A	0.0	0.0	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
vg1013542818	NA	7.84E-17	Awn_length	All	Not	Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection, Proc Natl Acad Sci USA, 112(39): E5411-E5419, PMID:26358652
vg1013542818	NA	1.05E-20	mr1179	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
vg1013542818	NA	8.86E-19	mr1422	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
vg1013542818	NA	3.37E-08	mr1465	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
vg1013542818	1.92E-07	NA	mr1533	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
vg1013542818	1.89E-06	2.15E-14	mr1533	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
vg1013542818	NA	3.31E-08	mr1836	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
vg1013542818	4.07E-10	NA	mr1980	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
vg1013542818	2.77E-08	2.49E-21	mr1980	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
vg1013542818	NA	3.05E-10	mr1228_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
vg1013542818	NA	2.37E-22	mr1401_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
vg1013542818	NA	4.81E-25	mr1422_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
vg1013542818	3.54E-12	NA	mr1533_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
vg1013542818	1.07E-09	1.33E-23	mr1533_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
vg1013542818	NA	5.80E-09	mr1860_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
vg1013542818	NA	2.55E-07	mr1885_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
vg1013542818	1.52E-07	NA	mr1980_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
vg1013542818	NA	5.10E-09	mr1980_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