ライフサイエンスコーパス: association analyses

1 available sequence data, and linkage and/or association analyses.

2 impacts on downstream bioinformatics and CNV association analyses.

3 e for genotyping in 270 trios and subsequent association analyses.

4 51, as revealed by reporter gene and protein association analyses.

5 pulation structure are known to confound the association analyses.

6 on through the interpretation of genome-wide association analyses.

7 ntly big sample sizes for adequately powered association analyses.

8 nt and burden tests and performs conditional association analyses.

9 ally higher quality data for common and rare association analyses.

10 genotypes to generate additional markers for association analyses.

11 uperior to SNPs and are promising in genetic association analyses.

12 and then regress out these components in the association analyses.

13 austive univariate and epistatic interaction association analyses.

14 production and early necrosis in genome-wide association analyses.

15 the presence of linkage (APL) were used for association analyses.

16 ffects that escape the standard single-locus association analyses.

17 Family studies permit both linkage and association analyses.

18 mily studies, using segregation, linkage and association analyses.

19 nome-wide linkage map and quantitative trait association analyses.

20 ts were genotyped in 1,037 Pima subjects for association analyses.

21 6 full-blooded, nondiabetic Pima Indians for association analyses.

22 and the statistical power of haplotype-based association analyses.

23 de-polymorphism markers for fine mapping and association analyses.

24 on the basis of pooled-sample microarray and association analyses.

25 was the top category for the 10-year change association analyses.

26 or network, overrepresentation, and guilt-by-association analyses.

27 ly 1% for both single-variant and gene-based association analyses.

28 d for population genetic studies and genetic association analyses.

29 ory, and LD-related genomic annotations into association analyses.

30 Each study performed ancestry-specific association analyses.

31 els with propensity adjustment were used for association analyses.

32 linear mixed-effects models were used in the association analyses.

33 enic assay, independent mutants, and allelic association analyses.

34 genome-wide association studies and genetic association analyses.

35 g linear mixed models to perform genome-wide association analyses.

36 ignificant association signals in single SNP association analyses.

37 ht identify this and thus improve downstream association analyses.

38 for subsequent locus-specific genotyping and association analyses.

39 zing LOF variants in this population through association analyses across 1,730 phenotypes.

40 summary statistics derived from genome-wide association analyses across 2,138 phenotypes measured in

41 ods are lacking to perform joint multi-locus association analyses across more than one gene/region.

42 ignal at D9S288; furthermore, pedigree-based association analyses also implicated the 9p24 candidate

43 nd, we conducted ethnic-specific genome-wide association analyses among 1235 Hispanic, 706 Asian, 154

44 Third, global co-association analyses among the thousands of profiled mol

45 Population-based case-control association analyses and meta-analyses were performed.

46 reference haplotypes to perform genome-wide association analyses and observe 17 genome-wide signific

47 used logistic regression for cross-sectional association analyses and proportional hazards regression

48 rk highlights the value of iPSCs for genetic association analyses and provides a unique resource for

49 hod to increase power in large-scale genomic association analyses and report a novel variant associat

50 We performed haplotype association analyses and tested for gene-by-environment

51 kelihood ratio test and permutation test) in association analyses, and all yielded similar results.

52 for climate modelling and trait/environment association analyses, and decentralized participatory im

53 us allelic heterogeneity through conditional association analyses, and epistasis through interaction

54 we show that the powers of both linkage and association analyses are crucially dependent on the prop

55 Alternatively, gene set or pathway association analyses are playing an increasingly importa

56 tation, admixture resolution and genome-wide association analyses are timely and computationally inte

57 addition to evaluating main exposure-disease associations, analyses are also conducted to evaluate wh

58 re not confidently identified in genome-wide association analyses at single time points.

59 dominant paradigms for gene set analyses are association analyses based on SNP genotypes and those ba

60 Genome-wide association analyses between genetic polymorphisms and P

61 Association analyses between haplotypes and phenotypic t

62 Association analyses between LTF mRNA expression levels

63 s and performed hypothesis-free phenome-wide association analyses between major depressive disorder (

64 Association analyses between PBMC/platelet respiration a

65 Association analyses between the SNPs and GFR and type 2

66 We then stratified the SNCA association analyses by LRRK2 genotype.

67 ethods to deal with these issues, and 3) how association analyses complement linkage analyses.

68 related traits jointly, most of the previous association analyses considered each phenotype separatel

69 In follow-up association analyses, correcting for all tests performed

70 Genetic association analyses demonstrate that the alterations in

71 Family-based association analyses detected significant evidence of as

72 Family-based association analyses detected significant evidence of as

73 Genomewide or linkage-directed association analyses did not detect common variants cont

74 Cardiovascular phenome-wide association analyses did not identify additional signifi

75 Association analyses divided isolates into two well-defi

76 Although there are programs to perform association analyses, e.g. PLINK and GenABEL, they canno

77 We perform nasal Epigenome-Wide Association analyses (EWAS) of current asthma, allergen

78 In association analyses, family-based tests did not reveal

79 s integrated into microbiome-gene expression association analyses for a subset of individuals.

80 framework for power calculations in genetic association analyses for a wide range of genetic effects

81 We conducted genome-wide association analyses for cleft palate only (CPO) and cle

82 ity-specific and trans-ethnic epigenome-wide association analyses for diet quality and leukocyte-deri

83 We performed genome-wide association analyses for each body shape composite pheno

84 with FTD and 4308 controls), we did separate association analyses for each FTD subtype (behavioural v

85 ort here genotyping data and type 1 diabetes association analyses for HLA class I loci (A, B, and C)

86 Association analyses for individual SNPs as well as hapl

87 protein-1 (MCP-1), we conducted genome-wide association analyses for MCP-1 in 3 independent cohorts

88 sion profiling and carried out a genome-wide association analyses for more than 100,000 gene expressi

89 Airway transcriptome-wide association analyses for mucus production and chronic co

90 We here report genome-wide association analyses for narcolepsy with replication and

91 Genome-wide association analyses for PC1-3 were conducted separately

92 We perform association analyses for phenotypes using a univariate a

93 Association analyses for PTSD used logistic regression m

94 Classical single-marker association analyses for rare variants have limited powe

95 we investigate the power of QTL linkage and association analyses for simple random sibship samples,

96 Independent genome-wide association analyses for skeletal dysplasia (short limbs

97 We performed genome-wide association analyses for twenty serum biomarkers involve

98 lation genetics, linkage disequilibrium, and association analyses have shown that specific MAPT H1 su

99 Genome-wide association analyses have uncovered multiple genomic reg

100 Association analyses identified 14 single nucleotide pol

101 Genome-environment association analyses identified 16 putatively adaptive l

102 Single-SNP association analyses identified 232 significant associat

103 CGM method identified 5 SBP trajectories and association analyses identified a genome-wide significan

104 Single and multi-association analyses identified a total of 60 SNPs assoc

105 The association analyses identified at least eight genomic r

106 Association analyses identified links between genomic li

107 Our association analyses identified more comprehensive sets

108 Follow-up joint ancestry-SNP association analyses identified novel variants in ferroc

109 Genome-wide association analyses identified several candidate genes

110 Both quantitative and dichotomous association analyses implicate a functional variant on a

111 Intriguingly, gene set association analyses implicate biological pathways previ

112 d approach of genetic linkage and positional association analyses implicates tau as a susceptibility

113 erformed SNP and copy number variation (CNV) association analyses in 1,509 children with obesity at t

114 We conducted genome-wide association analyses in 1578 European Americans (EAs), i

115 We performed genome-wide genotype imputation association analyses in 1616 non-Hispanic white (NHW) ca

116 isms (SNPs) were selected for genotyping and association analyses in 2 independent validation cohorts

117 Family-based association analyses in 832 Pima subjects were similarly

118 We performed association analyses in a discovery cohort of 164 patien

119 uding 30 amino acid changes, and carried out association analyses in a subset of 3,665 subjects from

120 stratification correction is compulsory for association analyses in admixed populations.

121 confirms the findings of earlier genome-wide association analyses in African American and Latino subj

122 We did association analyses in all participants with dementia w

123 dus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from C

124 Mutation screening in HPC probands and association analyses in case subjects (a group that incl

125 We performed methylome-wide association analyses in each cohort to model the interac

126 Additional genotyping and association analyses in GSDs combined with control dogs

127 del organisms with subsequent candidate gene association analyses in human populations.

128 We conducted genome-wide association analyses in nine samples of European ancestr

129 rformed single nucleotide polymorphism (SNP) association analyses in regions of interest.

130 We did a genome-wide association analyses in terms of progression for 216 TRA

131 High-resolution association analyses in the context of chromatin states

132 Genome-wide association analyses in the DGRP and a DGRP-derived outb

133 ng debate over the utility of multiple locus association analyses in the identification of genomic re

134 We report the results of fine-scale association analyses in the population sample, as well a

135 t linkage analyses of additional markers and association analyses in the same region supported the in

136 Phenome-wide association analyses in the UK Biobank showed colocalize

137 EHR)-based phenotypes allows for genome-wide association analyses in thousands of traits and has grea

138 Here, we describe fine-scale genetic association analyses in two independent series of Caucas

139 aper in this issue) and targeted replication association analyses in up to 18,554 independent partici

140 We also used family-based association analyses, including recently developed metho

141 Recent linkage studies and association analyses indicate the presence of at least o

142 Further genotype and haplotype association analyses indicated a similar pattern in the

143 -based approach that embeds both linkage and association analyses into a unified framework for genera

144 Association analyses involved 821 individuals (317 for p

145 In between-family association analyses, levels of hyperactive-impulsive sy

146 ddition to sib-pair linkage and case-control association analyses, linkage disequilibrium mapping wit

147 o full-length thrombin, followed by clinical association analyses, Mendelian randomization, and funct

148 tabolic alterations by conducting stratified association analyses of 139 serum metabolites in 1,517 i

149 Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 ind

150 polipoprotein L3 (APOL3), using family-based association analyses of 150 total prostate cancer (PC) c

151 Further genome-wide association analyses of 22 environmental variables showe

152 Variance-component association analyses of 534 genotyped subjects from 130

153 bination of whole-genome selection scans and association analyses of 544 Populus trichocarpa trees to

154 48K transcripts) and carried out genome-wide association analyses of 8370 expression phenotypes.

155 Association analyses of 8q24 markers with prostate cance

156 Association analyses of a candidate gene, CHRM2, previou

157 tical evidence for this suggestion came from association analyses of a rare 3'-UTR variant, var321, w

158 Genetic association analyses of AMCase haplotypes for asthma rev

159 Metabolome-wide association analyses of BCAA-raising alleles revealed hi

160 Association analyses of common functional variants of th

161 Genomic association analyses of complex traits demand statistica

162 have important implications for single-locus association analyses of complex traits.

163 NVs to complex phenotypes, we have performed association analyses of expression levels of 14,925 tran

164 Our candidate-gene association analyses of GWAS datasets suggested an incre

165 By performing whole-exome sequence association analyses of hematologic quantitative traits

166 oposed methods, we performed genome-wide CNV association analyses of hematological trait, hematocrit,

167 e to HapMap SNPs and independently conducted association analyses of hemostasis measures using an add

168 Genome wide association analyses of leisure television watching, lei

169 We conducted genome-wide association analyses of mean leukocyte telomere length i

170 Quantitative trait association analyses of mean spherical equivalent refrac

171 of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel o

172 Association analyses of MSE and the spherical component

173 Here, we report the results of genome-wide association analyses of multiple phenotypes and two meas

174 ing approaches that involve joint linkage or association analyses of multiple seemingly disparate phe

175 eling offer a flexible framework for genetic association analyses of offspring (child), parent-of-ori

176 We used association analyses of oilseed rape/canola (Brassica na

177 In expanded genome-wide association analyses of own birth weight (n = 321,223) a

178 Association analyses of patients with MDD and controls s

179 rtium has created a resource for genome-wide association analyses of personality traits in more than

180 Genetic association analyses of phenotypic variation in circulat

181 We performed epigenome-wide association analyses of placental DNA methylation (DNAm)

182 Genetic association analyses of rare variants in next-generation

183 ly matching case and control populations for association analyses of rare variants.

184 eport single- and multiple-trait genome-wide association analyses of self-reported sleep duration, in

185 c group may complicate the interpretation of association analyses of such variants, highlighting the

186 We first performed genetic association analyses of tagging single nucleotide polymo

187 We further performed genome-wide association analyses of the 79 quantitative traits and d

188 In the present study, we extended previous association analyses of the gene cluster to include APOA

189 We performed genome-wide association analyses of the genetic effects while accoun

190 or wet lab-based HLA typing and thus renders association analyses of the HLA in large cohorts feasibl

191 Recent genetic association analyses of the plasma proteome enable syste

192 Association analyses of the rhizobial strains in the mix

193 We carried out genome-wide association analyses of these distances and PCs in 2,185

194 Association analyses of these RNA-directed DNA methylati

195 Here, we report genetic association analyses of X chromosome and XY pseudoautoso

196 LD assessment in African American population-association analyses, of 5-10 cM.

197 We conducted genome-wide association analyses on 640 circulating metabolites in 3

198 ificant (P<2 x 10(-8)) when conditioning the association analyses on skin color.

199 component-clustered ethnicity, we performed association analyses on ~10 million imputed variants usi

200 with low ICC may be excluded from subsequent association analyses, or extra caution needs to be taken

201 h Chinese- and European-specific genome-wide association analyses (P </= 0.003).

202 ificance in the Chinese-specific genome-wide association analyses (P = 4.15 x 10(-14) and 4.30 x 10(-

203 We have developed the "Power for Genetic Association analyses" (PGA) package which comprises algo

204 Combined linkage and association analyses provide compelling evidence for the

205 s test, compatibility matrices, and index of association analyses provided substantial evidence that

206 d from uncorrected and genome-wide corrected association analyses (r(2) = 0.141), highlighting that p

207 Association analyses replicated many type 1 diabetes ris

208 age, suggesting that genome-wide surveys for association analyses require SNPs every 100-200 bp.

209 Association analyses resulted in our identifying as a ca

210 Our association analyses revealed a significant excess of th

211 Finally, targeted human genetic association analyses revealed an epistatic interaction b

212 weighted MRI (swMRI). Conditional and joint association analyses revealed independent GWAS signals i

213 Association analyses revealed no genome-wide significant

214 In 390 U.K. trios, family-based association analyses revealed nominally significant over

215 Association analyses show that haplotypes bearing CDSN*9

216 Familial co-segregation and association analyses show that p.Arg1933* can act as a M

217 Site-directed mutagenesis and association analyses show that PGC-1alpha nuclear export

218 Subsequent genetic association analyses showed an increased burden of TIA1

219 Genetic association analyses showed that the presence of common

220 Previous association analyses showed that variation at major regu

221 We performed pairwise association analyses, stratified analyses, and multivari

222 For C. trachomatis, index-of-association analyses suggested a higher degree of recomb

223 Linkage and association analyses suggested that a region of chromoso

224 In protein-trait association analyses, ten proteins were associated with

225 Association analyses that exploit the natural diversity

226 A from 2738 Amish participants and performed association analyses to determine the effects of the del

227 We report sequencing-based whole-genome association analyses to evaluate the impact of rare and

228 performing both single-SNP and moving-window association analyses to identify a colon neoplasia risk

229 rence Panel (DGRP) and performed genome-wide association analyses to identify candidate genes.

230 We performed association analyses to identify genetic loci influencin

231 the need for adequately powered cohorts for association analyses to identify not only genetic determ

232 the species' range and genotype-environment association analyses to identify the genetic signature a

233 a joint and ancestry-stratified genome-wide association analyses to identify variants specifically a

234 the results of applying genetic linkage and association analyses to neuropsychological endophenotype

235 cture are included, this tool can be used in association analyses to provide high-resolution evaluati

236 We performed phenome-wide association analyses to test their association across di

237 In genetic association analyses, unstratified and stratified accord

238 Here, we performed genome-wide association analyses using the inbred, sequenced lines o

239 C, we conducted both genome-wide linkage and association analyses, using approximately 400 microsatel

240 Here we report genome-wide association analyses, using genotyped and imputed marker

241 s, followed by family-based and case-control association analyses, using two independent data sets.

242 Association analyses validated reported associations bet

243 To quantify ITH for valid statistical association analyses, we develope an average pairwise IT

244 Through pairwise association analyses, we identified 93 operational taxon

245 Using genome-wide association analyses, we identified eight gene-containin

246 The admixture mapping and family-based association analyses were adjusted for age, age(2), sex,

247 Association analyses were adjusted for age, sex, and pri

248 Genome-wide association analyses were completed in 2007-2008 and the

249 A variety of univariate and multivariate association analyses were conducted after data quality c

250 Pooled association analyses were conducted at the variant and g

251 Association analyses were conducted between MDD polygeni

252 Ancestry-stratified case-control association analyses were conducted for three geneticall

253 Individual association analyses were conducted in each stratum and

254 Association analyses were conducted on 27 single-nucleot

255 Association analyses were conducted using 1,834 individu

256 Association analyses were conducted within each particip

257 Calibrated intake and disease association analyses were evaluated by comparisons with

258 Association analyses were first conducted in the family

259 Although genes from the two association analyses were largely nonoverlapping, they m

260 Association analyses were performed at 3 levels: time pe

261 Association analyses were performed in 61 whites.

262 Genome-wide association analyses were performed in pediatric and adu

263 Additional association analyses were performed in samples from up t

264 ion, imputation analysis and gender-specific association analyses were performed in the two independe

265 Association analyses were performed on the two HLA-DRB l

266 Association analyses were performed on the whole data se

267 Genome-wide association analyses were performed to identify genetic

268 Linkage and association analyses were performed to identify loci aff

269 Regional and genomewide association analyses were performed to search for common

270 Association analyses were performed using Plink software

271 Association analyses were performed using PLINK to compa

272 Association analyses were performed using PLINK to compa

273 Association analyses were performed using univariable an

274 In each sample, the association analyses were performed with all 4 major lip

275 s analyses and population-based case-control association analyses were performed, and the P values, f

276 Association analyses were performed, with systolic, dias

277 association, imputation and gender-specific association analyses were performed.

278 Retrospective survival association analyses were performed.

279 Association analyses were replicated in an independent s

280 Association analyses were stratified separately by clini

281 Principal components and genotype association analyses were used to derive main clinical f

282 Genetic association analyses with 68 representative japonica or

283 e present the results of large-scale genetic association analyses with 69,054 cases from five differe

284 uman neural stem cell line were selected for association analyses with average cortical thickness.

285 Both single SNP and SNP x SNP interaction association analyses with body mass index (BMI) were eva

286 LD structure in a candidate gene followed by association analyses with both SNPs and haplotypes is an

287 romosomal abnormalities in RDD and performed association analyses with clinical data derived from thi

288 tively remove these errors before performing association analyses with complex phenotypes.

289 GWAF, Genome-Wide Association analyses with Family, is an R package design

290 d subphenotypes were covariates for logistic association analyses with Fisher's correction.

291 the total sample of 623 subjects followed by association analyses with lipid traits.

292 ontained individuals with diabetes, allowing association analyses with overt disease.

293 predict methylation (N = 1,595) and conduct association analyses with PrCa risk (79,194 cases and 61

294 We describe a novel approach to genetic association analyses with proteins sub-divided into biol

295 Association analyses with several systemic characteristi

296 Association analyses with the asthma plus rhinitis pheno

297 e reliable, powerful, and convenient genetic association analyses without access to the individual-le

298 ey are not well suited to be used in genetic association analyses without genome-wide data.

299 sitory Network (UNICORN), a means to perform association analyses without necessitating direct access

300 ogic cohorts and applied directly in disease-association analyses, without relying on self-reported d