ライフサイエンスコーパス: SNP

1 SNP treatments suppressed the activity of polyphenol oxi

2 SNP-7/8a delivering in silico-designed mock neoantigens

3 SNPs were classified based on their putative effect on a

4 SNPs were combined into multi-allelic models and mendeli

5 SNPs with P < 1 x 10(-3) were further validated in the O

6 SNPs within 36 "candidate" genes, selected for their inv

7 red lines genotyped with a total of ~550,000 SNPs (Illumina 50 K SNP Chip and RNA-seq).

8 674 CNV-ceRNA events from TCGA; (iv) 67 066 SNP-ceRNA events from the 1000 Genomes Project.

9 e aimed to analyze the association of FSTL-1 SNPs with lung disease.Methods: FSTL-1 hypomorphic (FSTL

10 ve the prediction power compared with the 10-SNP model, suggesting that most of the remaining undisco

11 involvement in estrogenic responses, and 120 SNPs in reference genes were genotyped in 465 roaches.

12 About 1500 SNPs per family were detected across the genome.

13 missense, 29 SNPs mapped to nonsense, and 19 SNPs mapped to 3'-UTR regions.

14 t reported phenotype in the UK Biobank (h(2)(SNP) = 0.035, p = 7.12 x 10(-4)) and the clinically pred

15 inically predicted phenotype from VUMC (h(2)(SNP) = 0.046, p = 1.51 x 10(-2)).

16 death heritability was estimated at an h(2)(SNP) value of 0.25 (SE=0.04) and a value of 0.16 (SE=0.0

17 From comparative sequence analysis, 216 SNPs and 30 InDels were detected at the OsPLDalpha1 locu

18 In addition, 28 SNPs were predicted as "stop gained" nonsense SNPs and o

19 There were 607 SNPs mapped to missense, 29 SNPs mapped to nonsense, and 19 SNPs mapped to 3'-UTR re

20 id metabolism-related metabolites and 54 294 SNPs in 286 soybean accessions in total.

21 Our results identified 33 SNPs associated with PME and valeric acid traits, as wel

22 Third, we found 42 SNP sets that identified 727 gene loci and were signific

23 confirmed the replicability of 95% of the 42 SNP sets in healthy Korean and German samples, as well a

24 Out of these 45 SNPs, eight were present in more than one environment.

25 There were 607 SNPs mapped to missense, 29 SNPs mapped to nonsense, and

26 at 2-3 years of age were genotyped (173,661 SNPs) along with 2 unaffected siblings, 2 unaffected par

27 s dataset (GOAL, n = 160), we designed an 80 SNP panel (Setser80) that accurately depicts BGA through

28 either medium-throughput genotyping (31,811 SNPs) or whole-genome sequencing (WGS, 8.7 million SNPs)

29 We assessed 9 SNP and cytosine-adenine (CA) repeats in IFNG by nucleot

30 The +9K SNPs increased genetic resolution and genome coverage of

31 meologue-specific via the incorporation of a SNP at the 3' tail, sequences other than the target sequ

32 block identified was linked to rs5844572, a SNP previously found to be associated with lower diffusi

33 with mood instability were identified with a SNP heritability estimate of 9%.

34 d into gene-level associations by an adapted SNP-set Kernel Association Test approach.

35 tion potentially contained in any additional SNPs, while our decorrelation by orthogonal transformati

36 nalysis found that this SNP and its adjacent SNPs had the function of regulating enhancer activity in

37 All SNPs explained 4.6% [CI-95: 2.9-6.3%] of the variation i

38 Introduction of this minor allele SNP by genome editing confirmed its functionality in dep

39 Altogether, SNP-7/8a is a generalizable approach for codelivering pe

40 logenetic clusters and the development of an SNP cut-off for transmission) were central to our analys

41 We meta-analyzed SNP-specific Wald-estimates using inverse variance weigh

42 Both the microsatellite and SNP analyses identified patterns of genetic differentiat

43 gical differences between microsatellite and SNP markers including potential trade-offs between marke

44 zygosity (CN-LOH) were identified by STR and SNP arrays.

45 re was an association between IgG1 titer and SNP rs3901533 of dectin-1, the beta-glucan receptor.

46 variations, including aneuploidy levels and SNPs.

47 ion was observed between the genotype of any SNP investigated and risk of PCOS, either as a main effe

48 de association studies (GWAS) that associate SNPs with phenotypic traits of interest.

49 At SLC22A12, the most strongly associated SNP was rs147647315 (P = 6.65 x 10-25).

50 At SLC2A9, the most strongly associated SNP was rs7683856 (P = 1.60 x 10-44).

51 Most autoimmunity-associated SNPs in the genome map to noncoding regulatory regions i

52 ary containing 4316 breast cancer-associated SNPs and identify 521 candidate fSNPs.

53 However, other type 2 diabetes-associated SNPs that truncate SLC30A8 confer protection from this d

54 nctional SNPs (fSNP) from disease-associated SNPs in linkage disequilibrium (LD).

55 so (plasso) to identify phenotype-associated SNPs in a joint multiple-SNP regression model in GWAS.

56 at some of the most strongly risk-associated SNPs are located within a region of open chromatin, sugg

57 These associated SNPs and candidate genes paved a path to understand the

58 A close look at the trait-associated SNPs (TASs) indicated that the majority of the TASs are

59 The functional consequences of IL33 asthma SNPs remain unknown.

60 In this study, the relationship between SNP combinations and digoxin pharmacokinetics was explor

61 ed for by common disease alleles analyzed by SNP array-based GWASs.

62 y functional risk alleles that are missed by SNP array-based studies.

63 unctional roles of the prioritized candidate SNPs were examined with chromatin immunoprecipitation se

64 The causal SNP (Chr12:5520945) likely endows GmPRR3b(H6) a moderate

65 Together the 14 putatively causal SNPs explained ~38% of NMR variation, a substantial incr

66 We discover three causal SNPs of EPAS1, the key adaptive gene for Tibetans.

67 Minor allele frequencies of two fetal CD46 SNPs were significantly higher in PE.

68 n and genome coverage of the original cherry SNP array and will help increase understanding of the ge

69 mRNA, miRNA, copy number alterations [CNAs], SNPs, single nucleotide variants [SNVs], CpG methylation

70 inside functional categories, such as coding SNPs and promoter regions.

71 ltration, we prioritized rs7198799, a common SNP in the second intron of the CDH1, as the putative ca

72 ommon SNPs causally explaining 50% of common SNP heritability; these sets ranged in size from 28 (hai

73 ent genes and identified a total of 9 common SNPs.

74 are driven largely by many low-effect common SNPs.

75 ization, constructing minimal sets of common SNPs causally explaining 50% of common SNP heritability;

76 IMPACT annotations captured consistent SNP heritability between populations, suggesting priorit

77 The current SNP index method and G-statistic method for BSA-Seq data

78 A GWAS of 6,382 high-quality DArTseq SNPs revealed 15 significant SNPs (P-value <10(-3)) on c

79 Here we use genome-wide high-density SNP genotyping data to investigate the taurine and indic

80 Nicotine dependence (SNP-based heritability = 8.6%) is genetically correlated

81 h character profile was related to different SNP sets with distinct molecular processes and neuronal

82 associated DNA (RAD) sequencing to discover SNPs in samples from four contact zones between P. carbo

83 Discrepant SNPs across four contaminating genes validate the contam

84 The geographic mapping of each SNP's allele frequencies by population as well as visual

85 is to display minor allele frequency of each SNP, allowing for the identification of allelic variants

86 sulation was explored.The rutin encapsulated SNPs prepared from quinoa and maize starch (QR and MR) s

87 We found two other EXO5 SNPs significantly associated with risk of PCa in cases-

88 A catalogue of favourable SNP markers for MAS and a list of candidate genes are pr

89 We initially extracted fifty SNPs associated with UNa at significance level of 5 x 10

90 a program (i.e., ADMIXPIPE) that (a) filters SNPs to allow the delineation of population structure in

91 The two flanking SNPs for Sbwm1 can effectively separate the resistant an

92 ethod with the capability of handling folded SNP frequency spectra (that is, when the ancestral allel

93 erformed work expands the use of MB-LAMP for SNP detection as well as demonstrates SPME as a sample p

94 MR remained significant after accounting for SNPs in the region.

95 ing value, and matching sample genotypes for SNPs, identified two eQTL for salmonid alphavirus load.

96 owed by deep sequencing signal intensity for SNPs within functional transcription factor-binding site

97 Twenty-four SNPs in our RAD-Seq dataset were also found to be strong

98 family studies in EUR of 0.75-0.83 and from SNP based studies estimated at 0.78.

99 ion and computational inference of CNVs from SNP array and next-generation sequencing data are availa

100 GWAS cannot identify functional SNPs (fSNP) from disease-associated SNPs in linkage dise

101 epithelial cells to dissect functional genes/SNPs for asthma severity in the Severe Asthma Research P

102 platforms for the 69 successfully genotyped SNPs (>96%) and for the rare variants (>99%).

103 from the UK Biobank (UKB), for whom we have SNP genotypes, health status, and phenotype information

104 Ash1 identified ~ 1 million fewer homozygous SNPs than alignment of those same sequences to the more-

105 atabase; validating the effect of identified SNPs using a case-control study with samples of 602 case

106 The identified SNPs explained nearly all the heritability expected for

107 The identified SNPs explained nearly all the heritability expected in e

108 study explored the whole genome to identify SNPs, genes, and pathways that interacted with parental

109 ls as compared to subcutaneous immunization (SNP-SC).

110 unction of 119 genes affected by high-impact SNPs.

111 At multiple GWAS-implicated SNPs within pG4 UTR sequences, we find robust allelic im

112 TSP4 and, in particular, its SNP variant, P387 TSP4, have been associated with cardio

113 with a total of ~550,000 SNPs (Illumina 50 K SNP Chip and RNA-seq).

114 We find that KIF3A SNP rs11740584 and rs2299007 risk alleles create cytosin

115 vel genomic risk locus on chromosome 8 (lead SNP rs17052966, p = 4.53 x 10(-9), odds ratio = 1.28, se

116 d glycosuria during pregnancy, with the lead SNP located 15kB upstream of SLC5A2, a target of antidia

117 The lead SNP was also associated with lower lymphocyte counts and

118 )) in the discovery FHS sample, and the lead SNP was successfully replicated in the KCOS sample (one-

119 s 3p27.1 that was associated with WBLM (lead SNP rs3732593 P = 7.19 x 10(-8)) in the discovery FHS sa

120 The sex-linked SNP markers identified will be useful for potential mark

121 Combined analyses identified linked SNPs in distinct blocks within the major histocompatibil

122 Based on the 5.2 M SNP dataset, major QTLs were located on chromosomes 3 an

123 multi-experiment analysis based on the 5.2 M SNP dataset.

124 +/- 4.9 and 432.0 +/- 18.7 nm and mesoporous SNPs 466.0 +/- 86.0 nm) upon single dose intravenous adm

125 or whole-genome sequencing (WGS, 8.7 million SNPs).

126 a million individuals genotyped at a million SNPs in a few hours.

127 be complicated by divergent effects of model SNPs on phenotype and gene expression.

128 as assumed where the distance was 10 or more SNPs.

129 fSNPs in a high-throughput fashion, SDCP-MS (SNP-specific DNA competition pulldown-mass spectrometry)

130 r-encoded genes changed specifically with mt-SNP.

131 terized the performance of single- and multi-SNP models for identifying causal genes in GWAS data for

132 terative modeling scheme for obtaining multi-SNP models of gene expression and applied this framework

133 In the replication cohorts, multiple SNPs in strong linkage disequilibrium with rs56151658 we

134 tive trait loci analyses identified multiple SNPs associated with expression levels of post-GPI attac

135 henotype-associated SNPs in a joint multiple-SNP regression model in GWAS.

136 f non-surface modified silica nanoparticles (SNPs) with variations in size and porosity (Stober SNPs

137 promising prospects of starch nanoparticles (SNPs) produced via ultra-sonication for rutin encapsulat

138 NPs were predicted as "stop gained" nonsense SNPs and one SNP was predicted as "start lost".

139 lymorphisms revealed that 2347 nonsynonymous SNPs and 51 frameshift mutations could differentiate the

140 Most of these mutations are nonsynonymous SNPs, but polymorphisms in more than one codon or entire

141 A novel SNP rs17079281 in the DCBLD1 promoter was identified to

142 The novel SNPs occur within skin-specific regulatory elements and

143 Of thousands of de novo SNPs identified, 2677 were informative in M. fusca and 9

144 Furthermore, the derived G allele of SNP rs12191876, in the inserted region, is associated wi

145 according to principal component analysis of SNP genotypes; and (iii) optimized split based on F(1) h

146 start with summary statistics in the form of SNP effect sizes from a large GWAS cohort.

147 The number of SNP and of methylation sites varied in each scenario, wi

148 e identified, which confirmed the results of SNP chip-based CNV analysis.

149 related bipolar disorder, the effect size of SNP genotypes on gene expression, and gene-gene coexpres

150 mon form of combining statistics is a sum of SNP-level squared scores, possibly weighted, as in burde

151 eraction term and performing a joint test of SNP and/or interaction effect are often used to discover

152 motif, SEMpl can predict the consequences of SNPs to transcription factor binding.

153 xamining the cis-acting regulatory effect of SNPs on the ITIH3 expression using UK Brain Expression C

154 order to gain new insights on the effects of SNPs on miRNA and their related sequences, we steadily c

155 We also study the fraction of SNPs and of variance that is in common between pairs of

156 Potential biological functions of SNPs were analyzed by HaploReg v4.1, RegulomeDB, GTEx, I

157 62 depending on the method and the number of SNPs used for the estimation.

158 s maximised when selecting a small number of SNPs.

159 P. trichocarpa accessions as the outcome of SNPs in enzyme-coding genes.

160 This natural pairing of SNPs and genes allow us to map the following covariate v

161 The percentage of SNPs with minor allele frequency >0.10 was 95% and 91% i

162 tion analysis confirmed that the same set of SNPs associated with MSMB expression is associated with

163 Functional validation of SNPs was carried out using literature.

164 tity by state (IBS) distance matrix based on SNP data with the UPGMA clustering method found the best

165 icted as "stop gained" nonsense SNPs and one SNP was predicted as "start lost".

166 The increase in membrane Orai1-SNP leads to a mis-match in Orai1-STIM stoichiometry, re

167 Orai1-SNPs escape the degradation pathway and instead enter Ra

168 val [CI], 1.12-4.91; P = 0.02) whereas other SNPs were not.

169 ly, we identified eleven colocalized outlier SNPs associated with seed mass and precipitation that al

170 Overall, SNPs prepared using ultrasound have potential to encapsu

171 Partitioned SNP heritability across broad functional categories indi

172 In all, 24 covariates per SNP/gene pair were included in the AdaPT analysis using

173 We used posterior mean per-SNP heritabilities from PolyFun + SuSiE to perform polyg

174 The fact that all these pleiotropic SNPs have opposite allelic effects in SSc and CD reveals

175 An EoE-Custom single-nucleotide polymophism (SNP) Chip containing 956 candidate EoE risk single-nucle

176 e individual single-nucleotide polymorphism (SNP) analysis approach adopted in most current GWAS can

177 The lead single nucleotide polymorphism (SNP) at 16p12.3 is rs78193826 (odds ratio = 1.46, 95% co

178 n = 135) and single-nucleotide polymorphism (SNP) genotyping of primary tumors (n = 914).

179 and > 9,000 single nucleotide polymorphism (SNP) markers generated using the 2bRAD approach to asses

180 n sex-linked single nucleotide polymorphism (SNP) markers in 19 families from the GIFT strain breedin

181 73185306 C/T single-nucleotide polymorphism (SNP) represents a favorable predisposing factor leading

182 he lead risk single nucleotide polymorphism (SNP) rs67180937 was associated with lower VSMC MIA3 expr

183 identified a single-nucleotide polymorphism (SNP) signal across the glutamate-rich 3 (ERICH3) gene th

184 effect of a single nucleotide polymorphism (SNP), as well as non-genetic influences on these three u

185 lculated the single-nucleotide polymorphism (SNP)-based heritability of 12 subfields, as well as thei

186 to estimate single-nucleotide polymorphism (SNP)-heritability among distantly related individuals wi

187 significant single nucleotide polymorphism (SNP)-trait associations, which leads to high sequencing

188 h the UNC13A single nucleotide polymorphism (SNP; p = 0.045 and p = 0.036).

189 over 10,000 single nucleotide polymorphisms (SNP) variants in many subtypes.

190 housands of single-nucleotide polymorphisms (SNPs) (big p) genotyped on tens of thousands of subjects

191 otal of 514 single nucleotide polymorphisms (SNPs) among the identified DEGs.

192 351,824 Single-Nucleotide Polymorphisms (SNPs) and 38 imputed Human Leukocyte Antigen (HLA) allel

193 riations in single-nucleotide polymorphisms (SNPs) and constant turnover of minor population variants

194 individual single nucleotide polymorphisms (SNPs) and gene-level variants are associated with cognit

195 -associated single-nucleotide polymorphisms (SNPs) and predict the degrees of skin fibrosis in patien

196 al genes or single nucleotide polymorphisms (SNPs) are not obvious due to linkage disequilibrium.

197 entified 14 single nucleotide polymorphisms (SNPs) associated with cutaneous SCC.

198 ine whether single nucleotide polymorphisms (SNPs) associated with GDF-15 levels with genome-wide sig

199 Many single nucleotide polymorphisms (SNPs) associated with type 2 diabetes overlap with putat

200 tified five single nucleotide polymorphisms (SNPs) at four susceptibility loci for diffuse large B-ce

201 igh-quality single-nucleotide polymorphisms (SNPs) enabling the refined grouping of the sampled tea a

202 yped for 18 single-nucleotide polymorphisms (SNPs) from 14 candidate genes.

203 cludes 5000 single nucleotide polymorphisms (SNPs) from euchromatic and 1000 from heterochromatic reg

204 IL33 single nucleotide polymorphisms (SNPs) have been reproducibly associated with asthma.

205 ed germline single-nucleotide polymorphisms (SNPs) in 180 mCRC patients (Angiopredict [APD] cohort) t

206 Single nucleotide polymorphisms (SNPs) in Apolipoprotein E (APOE) are known to increase r

207 45 million single-nucleotide polymorphisms (SNPs) in the human genome and release the Atlas of Varia

208 etection of single-nucleotide polymorphisms (SNPs) in the pathogen genomes sourced from host samples.

209 lines using single nucleotide polymorphisms (SNPs) markers obtained via genotyping-by-sequencing (GBS

210 yped for 95 single nucleotide polymorphisms (SNPs) related to energy homeostasis.

211 genome-wide single-nucleotide polymorphisms (SNPs) to evaluate population genetic structure and asses

212 62%) and 24 single-nucleotide polymorphisms (SNPs) were genotyped.

213 associated single nucleotide polymorphisms (SNPs) were located in regulatory regions of candidate ge

214 ociation of single nucleotide polymorphisms (SNPs) with log-transformed FGF21 and FGF23 serum concent

215 ibutions of single-nucleotide polymorphisms (SNPs) within and outside essential splice sites, respect

216 to identify single nucleotide polymorphisms (SNPs), associated with agronomic traits in various rice

217 deleterious single-nucleotide polymorphisms (SNPs), in-frame indels, and deletions; 2) single/multige

218 5 or fewer single-nucleotide polymorphisms (SNPs), whereas reinfection with a different MDR-TB strai

219 in only 21 single nucleotide polymorphysims (SNPs).

220 fine-mapping and observe that high-posterior SNPs (for both the population-specific and shared causal

221 report enrichments of shared high-posterior SNPs in 53 tissue-specific functional categories and fin

222 over, a subset panel of the 12 most powerful SNPs is sufficient to separate the two pure species, eve

223 investigated previously reported predictive SNPs.

224 re, we first generate permutations as pseudo-SNPs that are not associated with the phenotype.

225 A PRS based on the 10 established PTC SNPs showed a stronger predictive power compared with th

226 Regulatory SNPs identified were enriched in coronary artery disease

227 ntified 410, 339, 393, and 317 lipid-related SNPs for total cholesterol, LDL, HDL, and triglycerides,

228 acterized a whole mouse genome miRNA related SNPs, analyzed their effects on the miRNA structural sta

229 while, MT-SCCALR cannot only select relevant SNPs and imaging QTs for each diagnostic group alone, bu

230 s were computed using statistically relevant SNPs.

231 Taken together, these findings reveal a risk SNP-mediated long-range regulation on the NFATC2-ZFP90-B

232 The rs2267735 SNP of the ADCYAP1R1 gene was extracted from genome-wide

233 difference was detected in MUC5B rs35705950 SNP allele frequency between bronchiectasis and healthy

234 ibonucleic acid was genotyped for the rs4680 SNP using realtime polymerase chain reaction (PCR).

235 2521634, rs3811046, rs3826782, and rs7762544 SNPs were evaluated.

236 Our results indicate the Setser80 SNP panel can reliably classify BGA for individuals of p

237 detect and validate the association of seven SNPs as genetic markers of susceptibility to periodontit

238 distribution were identified based on seven SNPs.

239 Several SNP were significantly associated with taxa at the three

240 Within the COPDGene cohort, several SNPs in the FSTL1 region corresponded to chronic obstruc

241 This approach was termed the significant SNP method here.

242 quality DArTseq SNPs revealed 15 significant SNPs (P-value <10(-3)) on chromosomes 2D, 3B, 4D and 7B

243 idual feed intake within 1 Mb of significant SNPs.

244 GWAS and SEM-GWAS identified six significant SNPs for SCS, and quantified the contribution of MY and

245 Using PyBSASeq, the significant SNPs (sSNPs), SNPs likely associated with the trait, wer

246 genome-wide significant loci (involving six SNPs: rs34399104, rs35518298, rs34053895, rs66828456, rs

247 The integration of all SLE SNP-predicted genes into functional pathways revealed cr

248 nt supergene harbors conserved trans-species SNPs linked to colony social organization suggests that

249 raits to identify putative disorder-specific SNP associations.

250 ructure since the first node is one specific SNP (Single Nucleotide Polymorphism) variant and the end

251 Homozygous carriers of both iRBD-specific SNPs were at highly increased risk for iRBD (OR = 5.74,

252 sing PyBSASeq, the significant SNPs (sSNPs), SNPs likely associated with the trait, were identified v

253 with variations in size and porosity (Stober SNPs 46 +/- 4.9 and 432.0 +/- 18.7 nm and mesoporous SNP

254 fk13 and Pfmdr1), and several non-synonymous SNPs were detected in these genes.

255 functional categories and find evidence that SNP-heritability enrichments are driven largely by many

256 Single-cell RNA sequencing showed that SNP-IV induced stem-like genes (Tcf7, Slamf6, Xcl1) wher

257 of P < 1e-05 in all GWAS data sets and that SNPs with P-values above 0.2 were inflated for SLE true

258 We previously reported that SNPs near TSPAN5 were associated with plasma serotonin (

259 Additionally, the SNP treated fruit exhibited lesser activities of fruit s

260 high-risk tumors based on WGS and 10% in the SNP array cohort.

261 can also be genotyped using a subset of the SNP loci and additional markers enable the detection of

262 Among the SNPs found to regulate MIF expression, the major LD bloc

263 (that is, when the ancestral alleles of the SNPs are unknown) of thousands of samples produced with

264 Whether the SNPs in different genomic regions play different roles i

265 These SNP loci were detected in Mb-scale haplotype blocks and

266 ulti-locus genotypes of hosts based on these SNP markers were combined in a workflow called the Stand

267 We then conduct a joint analysis of these SNPs and brain structural connectomes in 678 healthy chi

268 Most of these SNPs are common variants with small to moderate effect s

269 plantation (BMT) and that inclusion of these SNPs improves risk prediction beyond that offered by cli

270 The minor alleles of these SNPs were associated with significantly decreased lung f

271 pancreatic enhancers, suggesting that these SNPs modulate enhancer activity and, consequently, gene

272 research is warranted to determine how this SNP influences spermatogenesis and to assess its clinica

273 Bioinformatics analysis found that this SNP and its adjacent SNPs had the function of regulating

274 vel of 5 x 10(-8), but further removed those SNPs with potential horizontal pleiotropy.

275 nalysis within the two QTLs identified three SNPs correlated with the brain measures.

276 and LACT acting as mediator traits to total SNP effects.

277 st, and then the ratio of the sSNPs to total SNPs in a chromosomal interval was used to detect the ge

278 TSPAN5 SNPs were also associated with alcohol consumption and a

279 Finally, we determined that TSPAN5 SNPs were associated with acamprosate treatment outcomes

280 We identified two SNP loci associated with variation in the flg22 response

281 Two SNPs were sufficient to identify 'Nebbiolo' from 1157 ge

282 A total of 87 unique SNP variants were identified in HIPM and DIPM genes acro

283 a high-quality core subset of 29,899 unique SNPs is defined.

284 tial datasets that contain shared and unique SNPs showed that TG is not a risk factor for CAD.

285 antitative traits with haplotypes or untyped SNPs.

286 t the best GRS in the prediction of SLE used SNPs associated at the level of P < 1e-05 in all GWAS da

287 f samples with single-cell resolution, using SNP-based computational demultiplexing of single-cell RN

288 platform program package for this task using SNP frequency spectra.

289 A T1D GRS using SNPs defined in Europeans is discriminative of T1D from

290 Intravenous vaccination (SNP-IV) induced a higher proportion of TCF1(+)PD-1(+)CD8

291 a with the aim of discovering and validating SNPs and other factors controlling infectious disease tr

292 ombined use of whole exome sequencing (WES), SNP-array and WES-based homozygosity mapping, as well as

293 sed to genotype individuals, especially when SNP arrays do not exist for a population of interest.

294 stem-like genes (Tcf7, Slamf6, Xcl1) whereas SNP-SC enriched for effector genes (Gzmb, Klrg1, Cx3cr1)

295 Here, we evaluate genome-wide SNP annotations from two previous deep learning models,

296 of five putative MDD biomarkers, genome-wide SNP data, and 27 clinical, demographic and lifestyle var

297 Through a genome-wide SNP genotyping of 736 C. arabica accessions, we analyzed

298 ygdalus, Prunus and Cerasus) for genome-wide SNP identification and to assess genetic diversity of bo

299 We identify a total of 868,476 genome-wide SNPs, of which 194,709 are unique across 18 high-quality

300 We compared BIN-Lasso with SNP-Lasso and Q + K-LMM in a simulation experiment, and