ライフサイエンスコーパス: association analysis

1 nd peaks, explore batch effects, and perform association analysis.

2 rom initial data preprocessing to downstream association analysis.

3 allele-specific expression (ASE) patterns in association analysis.

4 y lipoprotein cholesterol through gene-based association analysis.

5 alysis of chi-squares (RAX2) for large-scale association analysis.

6 the phenome-wide data available for genetic association analysis.

7 vitro, the results were consistent with the association analysis.

8 e likelihood function (GLF) of NGS data into association analysis.

9 recognition performance and followed up with association analysis.

10 ream variant discovery, genotype calling and association analysis.

11 ed method over the traditional single marker association analysis.

12 were associated with PNTM in our gene-level association analysis.

13 advances in both sequencing and genome-wide association analysis.

14 could potentially gain statistical power in association analysis.

15 our and fat percentage - using a mixed model association analysis.

16 o be associated with CAD through genome-wide association analysis.

17 ds to address locus heterogeneity in genetic association analysis.

18 ad to inflated type-I errors in rare-variant association analysis.

19 n (AA) cases, and 508 AA controls) underwent association analysis.

20 principal components analysis in genome-wide association analysis.

21 ypes of genetic relationships encountered in association analysis.

22 genes/regions, providing data for haplotype association analysis.

23 tly associated SNPs identified in downstream association analysis.

24 ature Addition (SVRFA) scheme in SNP-disease association analysis.

25 orming data quality control, annotation, and association analysis.

26 n will facilitate meta-analyses for powering association analysis.

27 h selective breeding, selection mapping, and association analysis.

28 of miRNAs and their target genes by genetic association analysis.

29 es, and fire intervals through environmental association analysis.

30 method like linkage analysis or genome-wide association analysis.

31 nterest or target phenotype and then perform association analysis.

32 lso showed associations in the AD-stratified association analysis (AD z=-2.032 and non-AD z=4.903).

33 We undertook within-family association analysis after imputation and assessed candi

34 We also did an association analysis after reweighting of loci with an a

35 (187 affected children) for the family-based association analysis and 244 cases and 4980 controls for

36 n a large Latino population with genome-wide association analysis and admixture mapping.

37 Through genome-wide association analysis and an independent replication stud

38 linkage maps that have little use in disease association analysis and breeding.

39 me-wide SNP data to perform an environmental association analysis and discover loci displaying steep

40 Genomewide association analysis and fine mapping by homozygosity we

41 l studies, we also conducted a human genetic association analysis and found that variants in the CaMK

42 mbinatorial approach of candidate gene-based association analysis and genome-wide association study (

43 Comparative genome-wide association analysis and ground-truth validation demonst

44 We performed linkage analysis, association analysis and haplotype analysis of average n

45 are missed by the traditional single-marker association analysis and haplotype based mapping method.

46 We developed a pipeline for genome-wide association analysis and meta-analysis of CNV genotypes

47 tical genetics in fields such as linkage and association analysis and QTL mapping.

48 Genome-wide association analysis and replication in 12,540 individua

49 We then employed whole-genome association analysis and targeted sequencing to determin

50 of the proposed methods enables genome-wide association analysis and we show with simulation studies

51 ariant annotation, selection of variants for association analysis, and a collection of rare-variant a

52 association measurement (BUFAM) for pairwise association analysis, and relational dependency network

53 may help to fill the gap of classic pathway association analysis approaches by considering tissue sp

54 However, current pathway association analysis approaches fail to consider tissue-

55 is, few statistical methods for rare variant association analysis are available.

56 that might cause such an event, and we used association analysis as a data-mining technique to ident

57 h samples) were included in the binary trait association analysis as a population reference to increa

58 possible to reformulate QTL mapping and QTL association analysis as an application of mixed models i

59 cases and 2677 controls were included in an association analysis at 7 951 614 (additive model) and 4

60 ocus on pooling multiple variants to provide association analysis at the gene instead of the locus le

61 enrichment algorithm was applied for pathway association analysis based on GWAS results.

62 cted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distin

63 Unconditional and conditional genome-wide association analysis, based on a linear mixed model with

64 s using a subset-based meta-analysis method, ASsociation-analysis-based-on-subSETs (ASSET).

65 omponents are null or have opposite effects, Association-analysis-based-on-subsets uses 1-sided tests

66 With Association-analysis-based-on-subsets, we identify 27 si

67 es in the sample can still contribute to the association analysis because of the dependence among gen

68 Here we reported the association analysis between psychophysical phenotypes a

69 We have performed an association analysis between rs3811047 and CAD in two in

70 ts provides support for the "within-compound association" analysis but is inconsistent with the "sens

71 We first performed a genetic association analysis by screening genetic variants in 15

72 Statistical methods for CNV association analysis can be categorized into two differe

73 Although single-variant association analysis can be performed, it is grossly und

74 Here, we report an epigenome-wide association analysis comparing IDU+/ HCV+ and IDU-/HCV-

75 is the sample size, making exact genome-wide association analysis computationally practical for large

76 Association analysis conducted in the region underlying

77 Subsequent allelic association analysis confirmed SNX25, PDLIM3, and SORBS2

78 Index of association analysis confirmed the clonal nature of the

79 We combined genome-wide association analysis data from participants in the COPDG

80 Association analysis detected seven markers that repeate

81 is may be adopted for metabolites-phenotypes association analysis due to the similarity in data struc

82 Through fine-mapping, association analysis, expression analysis, insertional m

83 lidated and fine mapped using candidate gene association analysis, expression QTL analysis and hetero

84 In the present study, we perform an association analysis focusing on the expression changes

85 982 controls, the authors performed standard association analysis followed by a meta-analysis across

86 Pathway-based association analysis followed by gene stability selectio

87 We also performed association analysis for codon usage-tRNA expression for

88 Here, we report a genome-wide association analysis for commonly measured serum and uri

89 tional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offe

90 logy make it possible to utilize large-scale association analysis for disease-gene mapping.

91 hod (fastBAT) that performs a fast set-based association analysis for human complex traits using summ

92 The limited power of classical single-marker association analysis for rare variants poses a central c

93 thod to two human GWAS data sets, performing association analysis for ten quantitative traits from th

94 Genome-wide association analysis found that a multi-SNP model explai

95 ysis from genes/proteins/molecules and inter-association analysis from a pathway, disease, drug, and

96 ication of non-coding regions of the gene by association analysis further support this assertion.

97 To increase power of rare variant association analysis, gene-based collapsing methods beco

98 and applied research, including genome-wide association analysis, genome sequence assembly and studi

99 ped a single statistical framework, Gene Set Association Analysis (GSAA), that simultaneously measure

100 Genome-wide association analysis (GWAS) identified genomic regions c

101 We conducted a genome-wide association analysis (GWAS) to identify genetic variants

102 A genome-wide association analysis (GWAS) was conducted in 94 schizoph

103 corporating genomic annotations into genetic association analysis has become a standard procedure.

104 Pathway association analysis has made great achievements in eluc

105 nformatics procedures for guilt-by-profiling/association analysis have yet to be applied to large-sca

106 icance (p = 4.37 x 10(-8)), and multivariate association analysis identified a strong association bet

107 Fine mapping by local association analysis identified RECEPTOR-LIKE PROTEIN KI

108 Genome-wide association analysis identified that carriage of the CES

109 Follow-up association analysis identified two haplotypes in angiop

110 Clinical association analysis identifies genes having a significa

111 Further association analysis implicated Alstrom syndrome 1 gene

112 Through imputation and mixed-model association analysis in 12,577 cases and 23,475 controls

113 evidence were followed-up with family-based association analysis in 3556 African American subjects f

114 First, a genome-wide association analysis in 382 patients with multiple scler

115 Genome-wide association analysis in 4150 participants of the same co

116 ic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 co

117 otide polymorphism genotyping and fine-scale association analysis in a sample of unrelated Caribbean

118 A local candidate gene association analysis in a set of 87 accessions, combined

119 ity, and illustrate the utility of combining association analysis in datasets of diverse ethnic group

120 Association analysis in LLFS families identified single-

121 es into account these features is needed for association analysis in longitudinal microbiome data.

122 Association analysis in mice has the potential of much b

123 idly develop markers for genetic mapping and association analysis in species where high density genot

124 However, association analysis in such populations is challenging

125 tic findings from Mendelian and whole-genome association analysis in that context.

126 We also performed an association analysis in the discovery cohort using imput

127 By using a multibreed association analysis in the domestic dog, we demonstrate

128 We performed a genome-wide association analysis in the Pembroke Welsh Corgi (PWC) b

129 or chosen from databases, were genotyped for association analysis in the same 895 subjects analyzed i

130 We performed a genome-wide association analysis in the UK Biobank and INTERVAL stud

131 Here we perform a genome-wide association analysis in the United Kingdom, comparing se

132 Association analysis in this region showed strong eviden

133 ironmental factors, we performed genome-wide association analysis in two young and healthy cohorts (n

134 ood pressure (DBP), followed by trait-marker association analysis, in 6303 unrelated African-American

135 s inference procedure to perform integrative association analysis incorporating genomic annotations f

136 Chromosome association analysis indicated a major role of BTA 23 on

137 Also, our haplotype-based association analysis indicated that each haplotype block

138 Genome-wide association analysis indicates that all compounds co-loc

139 er QC of phenotypes before proceeding to the association analysis is critical to ensure control of ty

140 merit of pre-selecting diSNPs in a set-based association analysis is demonstrated through extensive s

141 Genome-wide association analysis is emerging as a powerful tool to d

142 While haplotype-based association analysis is powerful for detecting untyped c

143 to the most popular single SNP-single trait association analysis, it would be useful to explore mult

144 Through association analysis, linkage mapping, expression analys

145 principle for developing novel and powerful association analysis methods designed for resequencing d

146 from other population-based or family-based association analysis methods.

147 risk scores derived from a large genome-wide association analysis (n = 18,759).

148 METHODS AND We used genome-wide association analysis (n=6296) to study the effects of ge

149 nd single variant and rare variant aggregate association analysis of >9 million variants.

150 Family-based association analysis of 1098 parent-affected-child trios

151 parent-affected-child trios and case/control association analysis of 1147 cases and 3789 controls did

152 We also performed an association analysis of 1390 copy number variations (CNV

153 4-25.1 locus, we performed a haplotype-based association analysis of 194 familial lung cases and 219

154 We performed a genome-wide association analysis of 2,466,182 SNPs in 715 individual

155 A comprehensive association analysis of 24 single-nucleotide polymorphis

156 This study comprised a genome-wide association analysis of 3 well-characterized population-

157 We conducted a genome-wide association analysis of 34 studies imputed to the 1000 G

158 It was investigated using a targeted-association analysis of 476 haplotype blocks with 708 AG

159 gree structure allele sharing, and haplotype association analysis of affected sisters and cousins, we

160 Association analysis of asthma affection status and rela

161 Genome-wide association analysis of CD34(+) frequency identified sug

162 We undertook genome-wide association analysis of data collected from 57 carbohydr

163 ac-Saint-Jean asthma study families, and (3) association analysis of disease and significant SNPs wit

164 Association analysis of each SNP with LDL-C was performe

165 available survival time data and a parallel association analysis of EOC susceptibility.

166 ched healthy controls to conduct genome-wide association analysis of fractional anisotropy (FA) value

167 g seasons from 2013 to 2016 and marker-trait association analysis of frost tolerance were performed w

168 We performed a large-scale association analysis of gene-gene interactions with AF i

169 delian, and a previous targeted sex-specific association analysis of idiopathic Autism.

170 The authors performed a genome-wide association analysis of improvement of depression severi

171 We assumed an additive genetic model in an association analysis of imputed 2.5 million single-nucle

172 conducted a genome-wide eQTLs based pathway association analysis of KBD using Affymetrix Human SNP A

173 Here, we report an association analysis of lipid traits (total cholesterol,

174 Our pilot association analysis of low-frequency variants in 68 can

175 : Association analysis of microbiome composition with dise

176 ociation method named VNTRtest, suitable for association analysis of multi-allelic loci with binary a

177 g L(1)/L(2)-regularized regression for joint association analysis of multiple populations that are st

178 cting causal genetic markers through a joint association analysis of multiple populations.

179 gene-based test and a pathway-based test for association analysis of multiple traits with GWAS summar

180 sive symptomology, we performed a gene-based association analysis of nonsynonymous variation captured

181 In a small case-control genetic association analysis of postmortem brain tissue, genotyp

182 sing (LRP), enabling accurate imputation and association analysis of rare variants in target samples

183 is important for downstream applications of association analysis of rare variants.

184 We conduct a genome-wide association analysis of self-reported morningness, follo

185 SP, a novel toolset for genome-wide gene set association analysis of sequence count data.

186 valid and efficient statistical methods for association analysis of sequencing data under trait-depe

187 that IBD mapping may have higher power than association analysis of SNP data when multiple rare caus

188 olygenic score from the case-control genetic association analysis of SNPs in the HLA region did not s

189 identified susceptibility loci from marginal association analysis of SNPs.

190 We perform a genome-wide association analysis of surgically confirmed inguinal he

191 y of pooled resequencing for comparative SNP association analysis of target subgenomes in large popul

192 Using unsupervised genome-wide association analysis of the GDF10 transcriptome, we foun

193 Here we performed a SNP and gene-based association analysis of the RTK/ERK pathway with aggress

194 In genome-wide association analysis of the Simons Simplex Collection sa

195 In the association analysis of the Study of Addiction: Genetics

196 ite genotype data sets, and conclude with an association analysis of three familial dyslipidemia (FD)

197 Furthermore, genetic association analysis of two independent cohorts of schiz

198 Case-control association analysis of variant APP A673T in US and Swed

199 argeted metabolite profiling and genome-wide association analysis on 440 natural accessions of Arabid

200 Single-variant association analysis on 65,671 single nucleotide polymor

201 -validation of enrichment analysis and inter-association analysis on brain-specific markers, and 2) i

202 Family-based association analysis on kindreds with type 1 VWD demonst

203 d and 20 unaffected) as well as a gene-level association analysis on nine PNTM families and 55 sporad

204 We then carried out a genome-wide association analysis on these traits and their plasticit

205 te lead content, and carried out genome-wide association analysis, on population-based cohorts of adu

206 Unlike existing methods for microbiome association analysis, our framework does not make any di

207 ing-enzyme inhibitors in our metabolome-wide association analysis (p = 1.56 x 10(-4) in an analysis o

208 However, the current multiple phenotype association analysis paradigm lacks breadth (number of p

209 The VAT's data QC and association-analysis pipeline can be applied to sequence

210 In the genetic association analysis, polymorphisms in TLR1 (S248N and R

211 pirical iterative method, HAPlotype Regional Association analysis Program (HAPRAP), that enables fine

212 Taken together, our association analysis provides a reliable method to uncov

213 Gene-based association analysis replicated the association of ANGPT

214 that integrates genotype and phenotype data, association analysis results and genomic annotations fro

215 Our association analysis revealed a uniform pattern of Warbu

216 Association analysis revealed an excess of CNVs in cases

217 Genome-wide association analysis revealed one resistance locus on ch

218 Association analysis revealed several polymorphisms with

219 Our parental-specific haplotype score association analysis revealed that birth length and birt

220 lists of significant SNPs identified through association analysis revealed that both batch size and c

221 The association analysis revealed that g.1086C > T had a sig

222 Validation association analysis revealed that representative single

223 Single-SNP association analysis revealed that SNPs in Pto-miR257 an

224 Finally, an association analysis revealed that the expression of hsa

225 Gene-based rare variants association analysis showed enrichment of rare predicted

226 Genomewide association analysis showed that SNP rs2844573, located

227 Association analysis showed that SNP-1 and SNP-6 had sig

228 Conditional association analysis suggests a single association signa

229 Bayesian association analysis suggests that BMI is highly polygen

230 Association analysis suggests that variation in A2BP1 in

231 Robust options are provided for association analysis that also correct for the clonal po

232 Finally, we also performed a gene-based association analysis that was aimed at detecting genes t

233 k for PUMA (Penalized Unified Multiple-locus Association) analysis that solves the problems of previo

234 We did case-control association analysis to compare the proportion of 22q11.

235 A recent genome-wide association analysis to discover genetic modifiers of HD

236 tish old individuals, we performed discovery association analysis to identify age-methylated CpGs and

237 Here we use genome-wide association analysis to identify genetic modifiers of CF

238 erformed genome-wide local (cis-) regulatory association analysis to identify protein quantitative tr

239 We also conducted a genome-wide association analysis to identify specific genetic varian

240 ed a genome-wide linkage scan and positional association analysis to identify the genetic determinant

241 ng of lipids was followed-up by family-based association analysis to identify variants for cardiovasc

242 Currently, many studies use genome-wide association analysis to investigate the genetic effects

243 g of a genome-wide linkage study followed by association analysis, to identify novel genetic variants

244 Hment analysis), a pathway-based genome-wide association analysis tool that tests for enriched associ

245 ted SNPs than traditional genotype-phenotype association analysis under false positive control, takin

246 We then conducted association analysis under the linkage peak, first using

247 (n = 56), and we also performed whole-exome association analysis using 31 p.G206A carriers from 26 f

248 We undertook a genome-wide association analysis using 549 692 single-nucleotide pol

249 We performed case-control association analysis using 624 patients with nephrolithi

250 A case-control association analysis using Cochran-Armitage and Fisher's

251 Expression quantitative trait locus (eQTL) association analysis using RNA sequencing (RNA-seq) data

252 We performed a conditional and joint association analysis using summary-level statistics from

253 NA titre as a phenotype, I perform the first association analysis using this phenotype with the nucle

254 e permutation, and simultaneously conducting association analysis via multiple methods.

255 Our best p value from family-based association analysis was 7.26 x 10(-7).

256 Association analysis was carried out between individual

257 An association analysis was conducted in 247 unrelated DSM-

258 The SNP-association analysis was conducted in PLINK using candid

259 A gene-level rare variant association analysis was conducted in SADS cases versus

260 B12, folate and homocysteine, a genome-wide association analysis was conducted in the InCHIANTI (N =

261 Genome-wide association analysis was conducted on a large set of met

262 The association analysis was conducted with 2 366 856 genoty

263 Within the cohort, genome-wide association analysis was conducted, followed by meta-ana

264 The haplotype-based association analysis was consistent with this result bec

265 An association analysis was performed between the twenty-tw

266 The association analysis was performed by comparing the freq

267 A two-stage case control association analysis was performed for 3075 CAD cases an

268 Genome-wide association analysis was performed in EAs to identify si

269 A genome-wide association analysis was performed to compare the 2 grou

270 Association analysis was performed using PLINK, and corr

271 A case-control association analysis was performed using the Golden Heli

272 Genome-wide association analysis was used to investigate gene expres

273 Through genome-wide association analysis we identify a variant in a kelch do

274 ain Monte Carlo joint oligogenic linkage and association analysis, we detected linkage to chromosomes

275 In this case-control genetic association analysis, we explored the link between singl

276 Lastly, through exploratory association analysis, we found indication of differentia

277 In a follow-up family-based association analysis, we found overtransmission of PvuII

278 hroughput chemical screening and genome-wide association analysis, we identified 32 highly active com

279 Using a disease association analysis, we identified a common relationshi

280 nome sequencing, supplemented by linkage and association analysis, we identified specific heterozygou

281 Using genome-wide association analysis, we identify associations between s

282 For association analysis, we used multiple regression and fo

283 ally regularized functional CCA (QRFCCA) for association analysis which combines three approaches: (1

284 A novel application of association analysis, which removes the confounding effe

285 HBSP retains the essence of haplotype-based association analysis while improving analytic power by e

286 more homogeneous disease subtypes in genetic association analysis will facilitate the detection of ne

287 nties of imputed rare variants in downstream association analysis will inflate the type I error when

288 asthma and AR in 615 European families, (2) association analysis with 1233 single nucleotide polymor

289 We therefore performed a case-control association analysis with 1409 individuals drawn from th

290 rticipants of European ancestry, followed by association analysis with 20 quantitative cardiometaboli

291 ribute to risk for pHTN in SCD, we performed association analysis with 297 single nucleotide polymorp

292 They also indicate that genome-wide association analysis with a small number of cases can be

293 Combining association analysis with ChIP-seq chromatin binding dat

294 l annotations simultaneously for integrative association analysis with efficient computational techni

295 ce an R software package RVFam (Rare Variant association analysis with Family data) designed to analy

296 We present an approach for genome-wide association analysis with improved power on the Wellcome

297 We conducted association analysis with rigorous adjustments for popul

298 For association analysis with strabismus, the following data

299 f the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or

300 ation; 5) assessment of enrichment and inter-association analysis with the context of the existing bi