ライフサイエンスコーパス: association analysis

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

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

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

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

5 es, and fire intervals through environmental association analysis.

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

7 nterest or target phenotype and then perform association analysis.

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

9 rom initial data preprocessing to downstream association analysis.

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

11 y lipoprotein cholesterol through gene-based association analysis.

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

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

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

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

16 recognition performance and followed up with association analysis.

17 ream variant discovery, genotype calling and association analysis.

18 ed method over the traditional single marker association analysis.

19 types, and is suited to quantitative genetic association analysis.

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

21 could potentially gain statistical power in association analysis.

22 ssay, loss-of-function mutants and haplotype association analysis.

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

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

25 ds to address locus heterogeneity in genetic association analysis.

26 gene-level associations using fast set-based association analysis.

27 hows higher statistical power than classical association analysis.

28 t, we extend this to a second using guilt-by-association analysis.

29 in finding causative variants in genome-wide association analysis.

30 ccessible for downstream quality control and association analysis.

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

32 tially methylated CpG sites, we performed an association analysis adjusting for age, estimates of cel

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 A hierarchically organized haplotype (HOH) association analysis allowed 45 unique DQ haplotypes to

36 Using genome-wide association analysis, an associated locus on CFA28 (P(ra

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

38 e computational approach using a genome-wide association analysis and an Elastic Net prediction metho

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

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

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

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 studies, is efficient for whole exome/genome association analysis and provides better power performan

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

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

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

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

52 k for current and future integrative genetic association analysis applications.

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

59 amily study design, followed by polymorphism association analysis at DDC locus to elucidate heritable

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

61 y facilitates efficient and fast genome-wide association analysis automation and can go from raw gene

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

63 Association analysis based on subsets (ASSET), a pleiotr

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

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

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

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

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

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

70 Genome-wide association analysis between cases and controls identifi

71 biomarkers were identified by performing an association analysis between gene expression levels and

72 Here we reported the association analysis between psychophysical phenotypes a

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

74 gorithm for exhaustive genome-wide epistatic association analysis by controlling multiple polygenic e

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

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

77 Association analysis conducted in the region underlying

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

79 Index of association analysis confirmed the clonal nature of the

80 ique study uses a novel combination of human association analysis, CRISPR genome editing in mice, ani

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

82 Transcriptome-wide association analysis detected 3,568 T2D associations wit

83 Association analysis detected seven markers that repeate

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

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

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

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

88 982 controls, the authors performed standard association analysis followed by a meta-analysis across

89 Pathway-based association analysis followed by gene stability selectio

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

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

92 Differing from association analysis, for NPL only affected individuals

93 s, including association lookups, gene-based association analysis, functional gene mapping, and genet

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

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

96 le nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because s

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

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

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

100 We performed admixture mapping, genome-wide association analysis (GWAS), and fine-mapping to examine

101 In the genome-wide association analysis (GWAS), we detected for most shape

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

103 Pathway association analysis has made great achievements in eluc

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

105 shared pathways between AD and T2DM involves association analysis; however such analyses lack power t

106 Whole-exome sequencing, genetic crosses, and association analysis identified 22 candidate genes.

107 Association analysis identified 35 SNPs in 12 wheat gene

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

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

110 Genome-wide association analysis identified several HNT-specific loc

111 ed neurogenesis-related pathways, gene-based association analysis identified TESC, ACVR1, MSRB3, and

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

113 After correction for multiple testing, association analysis identified three genome-wide signif

114 Genome-wide association analysis identified two genome-wide signific

115 Follow-up association analysis identified two haplotypes in angiop

116 Methylation association analysis identifies a set of 256 differentia

117 Clinical association analysis identifies genes having a significa

118 Further association analysis implicated Alstrom syndrome 1 gene

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

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

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

122 Through genome-wide association analysis in 446,118 adults of European ances

123 Here, we performed a genome-wide methylome association analysis in 500 subjects with DKD from the C

124 n (AMD) by performing the largest metabolome association analysis in AMD to date, as well as aiming t

125 Association analysis in LLFS families identified single-

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

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

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

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

130 Phenome-wide association analysis in the UK Biobank demonstrates the

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 We performed an inversion association analysis including 21 inversions and 25 obes

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 Transcriptome-wide association analysis is a powerful approach to studying

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

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

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

143 This resource enables unbiased association analysis linking the cancer metabolome to ge

144 Genomewide association analysis may allow for the identification of

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

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

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

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

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

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

151 We report a genome-wide association analysis of 34,627 CRC cases and 71,379 cont

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

153 Here, we perform genome-wide association analysis of a diverse rice population displa

154 Association analysis of asthma affection status and rela

155 We performed a discovery genome wide association analysis of BP response post CTD treatment i

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

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

158 Applying these findings to hypothesis-driven association analysis of diet quality and its relationshi

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

160 Through epigenome-wide association analysis of DNA methylation from human brain

161 wo major challenges arise in haplotype-based association analysis of family data.

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

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

164 Subsequent association analysis of functional genotypes against a n

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

166 Our cross-phenotype association analysis of imaging genetics indicates a pot

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

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

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

170 mary statistics from the largest genome-wide association analysis of MD (n = 135,458 cases, n = 344,9

171 : Association analysis of microbiome composition with dise

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

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

174 omic data, they have been less developed for association analysis of omic data.

175 A phenome-wide association analysis of over 1,410 traits in the UK Biob

176 Association analysis of prevalent type 2 diabetes reveal

177 cs (n=4034) and BMI (n=734 481), and genetic association analysis of PWD in 5 population-based studie

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

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

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

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

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

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

184 A genome-wide association analysis of SU was conducted using measured

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

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

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

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

189 Following a genome-wide association analysis of the variation in sulfatase activ

190 In gene burden association analysis of their clinical data, the presenc

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

192 ary thrombocytopenia, we performed a genetic association analysis of whole-genome sequencing data fro

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

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

195 We ran a genome-wide association analysis on each subfield, co-varying for wh

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

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

198 Association analysis on the lethality phenotype, as well

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

200 We performed an association analysis on WES data from 439 Finnish PD sub

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

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

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

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

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

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

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

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

209 Gene-based association analysis replicated the association of ANGPT

210 Single-SNP association analysis revealed a trend for association wi

211 Our association analysis revealed a uniform pattern of Warbu

212 Association analysis revealed an excess of CNVs in cases

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

214 Association analysis revealed several polymorphisms with

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

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

217 Validation association analysis revealed that representative single

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

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

220 Association analysis revealed twenty-two polymorphic var

221 Gene-level association analysis reveals a role for tissue-specific

222 ross-trait analysis: two in a single variant association analysis (rs145108385, P = 3.30 x 10(-8) and

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

224 Association analysis showed that glucose level was posit

225 Haplotype association analysis showed that haplotype 47F-67I was a

226 Genomewide association analysis showed that SNP rs2844573, located

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

228 A gene-based association analysis similarly failed to find any signif

229 "cell adhesion," and "apoptosis." Cell-type-association analysis suggested that, regardless of injur

230 Conditional association analysis suggests a single association signa

231 Bayesian association analysis suggests that BMI is highly polygen

232 Association analysis suggests that the genes yellow and

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

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

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

236 ceptibility loci, Primo performs conditional association analysis to account for linkage disequilibri

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

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

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

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

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

242 nteraction, and brain intermediate phenotype association analysis to identify the functions of a prio

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

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

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

246 Using transcriptome-wide association analysis (TWAS), we identified three additio

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

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

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

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

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

252 's correlation R (2) for predicting power of association analysis using imputation results.

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

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

255 A phenome-wide association analysis using the POE mQTL SNPs identifies

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

257 ii) genome-wide phasing and imputation, (iv) association analysis, (v) meta-analysis, (vi) polygenic

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

259 Association analysis was carried out between individual

260 An association analysis was conducted in 247 unrelated DSM-

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

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

263 ol and imputation, a linear regression-based association analysis was conducted using a total of 5,14

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

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

266 An association analysis was performed between the twenty-tw

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

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

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

270 Association analysis was successful in resolving combina

271 Metabolite genome-wide association analysis was used to elucidate the genetic a

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

273 , P = 4.52 x 10(-8)) and two in a gene-based association analysis (WDPCP, P = 9.67 x 10(-7) and ZNF25

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

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

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

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

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

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

280 For association analysis, we used multiple regression and fo

281 Genome-wide linkage and association analysis were conducted on the subset of her

282 Variant calling and association analysis were performed followed by validati

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

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

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

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

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

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

289 Association analysis with 986 metabolic traits suggests

290 Combining association analysis with ChIP-seq chromatin binding dat

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

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

293 functional genomic regions, and genome-wide association analysis with gene expression and quantitati

294 Genome-wide association analysis with high-density genetic markers r

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

296 These regions were explored by combining association analysis with in silico genomic feature anno

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 Association analysis within the two QTLs identified thre