ライフサイエンスコーパス: genome-wide association study

1 ies composition in the rumen by performing a genome-wide association study.

2 linically important disease entity through a genome-wide association study.

3 ntigen (HLA) alleles were analyzed through a genome-wide association study.

4 Weights were based on an international genome-wide association study.

5 ngeal cases and 6,585 controls from a recent genome-wide association study.

6 g glycaemic traits and insulin resistance in genome wide association studies.

7 enes associated with type 2 diabetes risk in genome-wide association studies.

8 ncing data with publicly available data from genome-wide association studies.

9 forming meta-analyses with 2 independent EoE genome-wide association studies.

10 endent risk variants have been identified by genome-wide association studies.

11 ver, these findings do not concur with early genome-wide association studies.

12 om at least 50 loci previously identified by genome-wide association studies.

13 located within a PD risk locus identified by genome-wide association studies.

14 in exon duplication undetectable by classic genome-wide association studies.

15 thods focus on individual common variants in genome-wide association studies.

16 ased on the latest schizophrenia and bipolar genome-wide association studies.

17 ed with blood pressure (BP) traits from many genome-wide association studies.

18 ns between PWD loci and AF using previous AF genome-wide association studies.

19 otype resolution in this era of ever-growing genome-wide association studies.

20 ability models using summary statistics from genome-wide association studies.

21 de loci identified from previous large-scale genome-wide association studies(2).

22 Here, by conducting a large-scale genome-wide association study (3,797 cases and 1,152,977

23 ddition to susceptibility loci identified in genome-wide association studies, advances in various omi

24 This genome-wide association study aims to identify the susce

25 Genome wide association studies allowed prediction of 17

26 , NECTIN2, and PICALM) were extracted from a genome-wide association study analysis.

27 Genome-wide association studies and analysis of strain-s

28 the size of reference population required in genome-wide association studies and genomic selection.

29 and metabolites by phenotypic and metabolic genome-wide association studies and multi-omics analyses

30 de available to approved MVP researchers for genome-wide association studies and other downstream ana

31 w methods in statistical genetics, including genome-wide association studies and polygenic score anal

32 Genome-wide association studies and quantitative trait l

33 ion, histone acetylation, transcriptome- and genome-wide association studies and quantitative trait l

34 We performed a genome-wide association study and analysed the most rece

35 ial fibrillation, including linkage studies, genome-wide association studies, and studies of rare cod

36 wledge-based gene sets, effects of variants, genome-wide association studies, and transcriptome-wide

37 s that can be used to interpret results from genome-wide association studies, and we discuss current

38 (ASD) often pose a challenge for traditional genome-wide association study approaches in defining a c

39 Here, the integration of two of genome-wide association study approaches was used to inc

40 its T300A coding polymorphism identified by genome-wide association studies as linked with increased

41 ry network (GRN) screens in conjunction with genome-wide association study-based disease phenotyping,

42 These data demonstrate that FPCA-based genome-wide association studies can enable robust time s

43 me 5, the Genotype-Tissue Expression and the Genome Wide Association Studies catalog).

44 A metabolite-based genome-wide association study combined with genetic mapp

45 sk loci, we perform a meta-analysis of three genome-wide association studies comprising 2,039 pancrea

46 c diseases, is one of few proteins for which genome-wide association studies consistently report vari

47 g, breast, ovarian, and prostate cancer from genome-wide association studies consortia, including par

48 We analyzed summary statistics from genome-wide association studies data for 8,384 cases and

49 susceptibility genes identified using public genome-wide association studies data were particularly e

50 single-cell RNA sequencing data with public genome-wide association study data and promoter capture

51 By integrating sex-biased eQTLs with genome-wide association study data, we identify 58 gene-

52 zation of a uniquely extensive collection of genome-wide association study data, while ensuring safe

53 ciation study approaches to evaluate whether genome-wide association study-defined genomic risk for a

54 A genome wide association study demonstrated that both die

55 ene expression variations through expression genome-wide association study (eGWAS) and investigated t

56 and evaluated heritability enrichment in 64 genome-wide association studies, emphasizing schizophren

57 Genome-wide association studies explored this question b

58 Here we report the first genome-wide association study exploring 476 salivary met

59 Genome-wide association studies, followed by exome-wide

60 Genome-wide association studies for keratoconus and for

61 Lookup in the latest genome-wide association study for ADHD showed that among

62 Here, we report a multi-trait genome-wide association study for male puberty timing wi

63 -led target prioritization algorithm (Pi) of genome wide association studies (GWAS) data and a broad

64 Genome wide association studies (GWAS) facilitated recog

65 Genome Wide Association Studies (GWAS) have successfully

66 We conducted a genome wide association study (GWAS) of 146 maize genoty

67 majority of trait associations identified in genome-wide association studies (GWAS) analyses.

68 stratification (PS) is a major confounder in genome-wide association studies (GWAS) and can lead to f

69 se since the 1990s, with successively larger genome-wide association studies (GWAS) and meta-analyses

70 Genetic studies involving genome-wide association studies (GWAS) and meta-analysis

71 me-wide association studies (TWAS) integrate genome-wide association studies (GWAS) and transcriptomi

72 Genetic variants identified in genome-wide association studies (GWAS) are often not spe

73 Genetic variants identified through genome-wide association studies (GWAS) are predominantly

74 Genome-wide association studies (GWAS) are still the pri

75 Genome-wide association studies (GWAS) are typically vis

76 The SNPs identified in genome-wide association studies (GWAS) as being associat

77 Bacterial genome-wide association studies (GWAS) can identify nove

78 using polygenic risk scores (PRSs) based on genome-wide association studies (GWAS) for 54 diseases a

79 ccessions of Arabidopsis thaliana to conduct genome-wide association studies (GWAS) for identifying g

80 increasingly using polygenic scores based on genome-wide association studies (GWAS) for phenotypic pr

81 Genome-wide association studies (GWAS) have discovered t

82 Previous genome-wide association studies (GWAS) have identified 1

83 Genome-wide association studies (GWAS) have identified 4

84 Genome-wide association studies (GWAS) have identified 5

85 Genome-wide association studies (GWAS) have identified m

86 Genome-wide association studies (GWAS) have identified n

87 Genome-wide association studies (GWAS) have identified n

88 Genome-wide association studies (GWAS) have identified o

89 Genome-wide association studies (GWAS) have identified t

90 Genome-wide association studies (GWAS) have identified ~

91 Bioinformatic tools and genome-wide association studies (GWAS) have led to compr

92 Genome-wide association studies (GWAS) have linked IGF2B

93 ional genomic data, genetic analysis such as genome-wide association studies (GWAS) have played an im

94 Genome-wide association studies (GWAS) have reported doz

95 e to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only

96 Recent genome-wide association studies (GWAS) identified DUSP8,

97 A meta-analysis of genome-wide association studies (GWAS) identified eight

98 Genome-wide association studies (GWAS) identify genetic

99 Genome-wide association studies (GWAS) link >60 loci wit

100 ition and measurement of complex diseases in Genome-Wide Association Studies (GWAS) may lead to misdi

101 from the largest available meta-analyses of genome-wide association studies (GWAS) of ADHD (n = 53,2

102 ct of unmeasured geographical confounding on genome-wide association studies (GWAS) of complex human

103 imals, but have not been identified in prior genome-wide association studies (GWAS) of human temperam

104 We conducted genome-wide association studies (GWAS) of relative intak

105 We performed two genome-wide association studies (GWAS) on a subsample of

106 In the present study, we conduct genome-wide association studies (GWAS) on lifetime self-

107 Genome-wide association studies (GWAS) provide an unbias

108 nd a statistically significant enrichment of genome-wide association studies (GWAS) relevant genes in

109 ating both gene sets with data from multiple genome-wide association studies (GWAS) revealed that gen

110 Disease variants identified by genome-wide association studies (GWAS) tend to overlap w

111 m large populations have enabled informative genome-wide association studies (GWAS) that associate SN

112 We conducted a meta-analysis of genome-wide association studies (GWAS) that involved 542

113 ty loci has been reinvigorated by the use of genome-wide association studies (GWAS) through which mil

114 s provide an exciting opportunity to perform genome-wide association studies (GWAS) to identify genet

115 Many recent investigations have leveraged genome-wide association studies (GWAS) to identify singl

116 riants and gastric cancer in six independent genome-wide association studies (GWAS) with a case-contr

117 Genome-wide association studies (GWAS), particularly des

118 By combining interval mapping and genome-wide association studies (GWAS), we unveiled the

119 atification continues to bias the results of genome-wide association studies (GWAS).

120 ith several glycemic and metabolic traits in genome-wide association studies (GWAS).

121 This has proven challenging for genome-wide association studies (GWAS).

122 rowing rapidly with the increasing number of genome-wide association studies (GWAS).

123 formatics pipeline characterizing non-coding genome-wide association study (GWAS) association finding

124 g 17 mouse organs with body mass index (BMI) genome-wide association study (GWAS) data from >457,000

125 rding to their genotype profile and relevant genome-wide association study (GWAS) data.

126 The increasing availability of large-scale genome-wide association study (GWAS) for asthma has enab

127 Here we conducted a genome-wide association study (GWAS) for circulating FGF

128 To search for such variants, we performed a genome-wide association study (GWAS) for infant mental a

129 Here we report a large genome-wide association study (GWAS) for longitudinal sm

130 Here we report a genome-wide association study (GWAS) for primary MN in 3

131 ents causing this deficiency, we performed a genome-wide association study (GWAS) for root Na(+) /K(+

132 With mounting interest in translating genome-wide association study (GWAS) hits from large met

133 Our genome-wide association study (GWAS) identified one nove

134 Here we present epidemiological analysis and genome-wide association study (GWAS) in 4365 individuals

135 or depressive disorder (MDD), we performed a genome-wide association study (GWAS) in cohorts of Europ

136 w-density lipoprotein (LDL) cholesterol in a genome-wide association study (GWAS) meta-analysis (N <=

137 hrombosis (INVENT) consortium multi-ancestry genome-wide association study (GWAS) meta-analysis.

138 conferring mutations in genomic data include genome-wide association study (GWAS) methodologies, test

139 A recent genome-wide association study (GWAS) of 59 cerebrospinal

140 ion Veteran Program, the authors performed a genome-wide association study (GWAS) of a continuous tra

141 We conducted a genome-wide association study (GWAS) of circulating non-

142 A Genome-Wide Association Study (GWAS) of DT696 derivative

143 Here we report a genome-wide association study (GWAS) of RHD susceptibili

144 We performed a large, genome-wide association study (GWAS) of two previously v

145 We carried out a genome-wide association study (GWAS) on 2274 dyslexia ca

146 Karnal Bunt (KB) disease in wheat through a genome-wide association study (GWAS) on a set of 179 pre

147 it loci (cis-eQTL) of age-dependent genes or genome-wide association study (GWAS) on delta age, combi

148 Here we performed a 2-stage genome-wide association study (GWAS) on NSCPO and replic

149 A genome-wide association study (GWAS) revealed variants i

150 duals, we detect ASAS events associated with genome-wide association study (GWAS) signals of complex

151 We conducted a genome-wide association study (GWAS) to identify signifi

152 Here, we employ genome-wide association study (GWAS) to identify underly

153 We carried out a genome-wide association study (GWAS) using a panel of 51

154 We conducted a large-scale genome-wide association study (GWAS) using a panel of 76

155 In stage one of this two stage genome-wide association study (GWAS), we included indivi

156 notype data from a previously published PCOS genome-wide association study (GWAS), we investigated wh

157 We subsequently undertook a genome-wide association study (GWAS), which identified a

158 viduals of European ancestry through a large genome-wide association study (GWAS).

159 in the mini-core with 3.2 million SNPs in a genome-wide association study (GWAS).

160 Using large publicly available genome-wide association studies (GWASs) (results from mo

161 We conducted genome-wide association studies (GWASs) for resting Tpe

162 Genome-wide association studies (GWASs) have identified

163 Recent genome-wide association studies (GWASs) have identified

164 Breast cancer genome-wide association studies (GWASs) have identified

165 Genome-wide association studies (GWASs) implicate 16q22.

166 predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) including 55,105

167 Genome-wide association studies (GWASs) seek to identify

168 biomedical computation, for instance in the genome-wide association studies (GWASs) that aim to dete

169 omplex diseases have been identified through genome-wide association studies (GWASs).

170 The growing sample size of genome-wide association studies has facilitated the disc

171 Recent genome wide association studies have identified genetic

172 s, to date, individual genetic variants from genome-wide association studies have achieved only moder

173 Genome-wide association studies have discovered hundreds

174 Genome-wide association studies have generated an increa

175 To date, genome-wide association studies have identified 90 indep

176 Genome-wide association studies have identified a promin

177 higher frequency than in controls(4,5), and genome-wide association studies have identified addition

178 Genome-wide association studies have identified breast c

179 Recent large-scale genome-wide association studies have identified common g

180 Large-scale genome-wide association studies have identified few SNPs

181 Genome-wide association studies have identified genetic

182 Rationale: Genome-wide association studies have identified genetic

183 Genome-wide association studies have identified noncodin

184 Recent genome-wide association studies have identified numerous

185 Although genome-wide association studies have identified PAU risk

186 While genome-wide association studies have identified suscepti

187 Genome-wide association studies have implicated common g

188 Genome-wide association studies have implicated thousand

189 Genome-wide association studies have led to a significan

190 Genome-wide association studies have linked PICALM to AD

191 Human genome-wide association studies have linked polymorphism

192 Large-scale genome-wide association studies have now identified mult

193 Large-scale genome-wide association studies have recently identified

194 Genome-wide association studies have reported signals of

195 Genome-wide association studies have reported that, amon

196 Genome-wide association studies have revealed that 88% o

197 Genome-wide association studies have revolutionized our

198 In recent years, genome-wide association studies have shed light on the g

199 Genome-wide association studies have shown many variants

200 Although several genome-wide association studies have suggested a number

201 Genome-wide association studies have uncovered over a 10

202 Rationale: GWAS (Genome-Wide Association Studies) have identified hundred

203 A genome wide association study identified a single nucleo

204 Genome-wide association studies identified 20 loci, of w

205 Recent genome-wide association studies identified genetic varia

206 Genome-wide association studies identified the BIN1 locu

207 Our previous genome-wide association study identified a single-nucleo

208 Genome-wide association study identified rs71542416 with

209 set with genotype data from the largest PTSD genome-wide association study identified the interneuron

210 How genome-wide association studies-identified single-nucleo

211 Genome-wide association studies identify the genetic bac

212 ontrolling for EBV type, we also performed a genome-wide association study identifying six nonsynonym

213 d in analyzing candidate genes identified in genome-wide association studies, identifying functional

214 Data from genome-wide association studies in up to 215,551 partici

215 ICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill pa

216 We performed a genome-wide association study in Arabidopsis (Arabidopsi

217 We performed a genome-wide association study in the Million Veteran Pro

218 To identify novel loci, we performed a genome-wide association study including 133,384 breast c

219 Genome-wide association studies indicate that many disea

220 f stress and from human postmortem brain and genome-wide association studies indicating an associatio

221 Two genome-wide association studies investigating lifetime s

222 results and data of genomic studies (such as genome-wide association studies) is restricted to only t

223 Intersecting AF and PR genome-wide association studies loci with long-range chr

224 rk model for AF defined by effector genes in Genome-wide association studies loci.

225 trait loci and summary statistics from a PAH genome-wide association study.Measurements and Main Resu

226 GSMR) analysis using summary statistics of a genome-wide association study meta-analysis of 299,024 i

227 analyses of findings from a meta-analysis of genome-wide association studies (meta-GWASs) of the broa

228 A recent metabolite genome-wide association study (mGWAS) investigated the r

229 stigate the latter, we performed a metabolic genome-wide association study (mGWAS) of Gln-related tra

230 OGA), we performed a Multi-Trait Analyses of genome-wide association studies (MTAG) on parietal resti

231 However, genome-wide association studies now demonstrate that AD

232 3 single nucleotide polymorphisms applied to genome wide association studies of sleep duration in adu

233 e networks we analyze are based on data from genome-wide association studies of 199 A. thaliana acces

234 Genome-wide association studies of 26 agronomic traits u

235 We describe genome-wide association studies of 6152 cases and 3918 c

236 results from an independent meta-analysis of genome-wide association studies of ADHD diagnosis and sy

237 Recent genome-wide association studies of age-at-onset in Hunti

238 Evidence from genome-wide association studies of asthma suggests that

239 e Mendelian randomization were obtained from genome-wide association studies of circulating sphingoli

240 With progress in genome-wide association studies of depression, from iden

241 btained summary statistics from 27 published genome-wide association studies of haematological traits

242 m the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (inc

243 Genome-wide association studies of neurological diseases

244 GKQ locus is the 3rd strongest risk locus in genome-wide association studies of Parkinson disease (PD

245 A polygenic risk score (PRS) derived from genome-wide association studies of posttraumatic stress

246 ether some of the associations identified in genome-wide association studies of prostate cancer (PrCa

247 onstructing polygenic risk scores from large genome-wide association studies of psychiatric and neuro

248 Over the last decade, genome-wide association studies of psychiatric disorders

249 Genome-wide association studies of schizophrenia have de

250 nderlying molecular mechanisms, we performed genome-wide association studies of the urinary concentra

251 Multiple genome-wide association studies of this cohort also have

252 Genome-wide association studies of UNa, body mass index

253 A genome-wide association study of ALS (20 806 cases; 59 8

254 A genome-wide association study of aortic valve area in th

255 We conducted a genome-wide association study of asthma hospitalizations

256 t are a defining feature of DCM, we report a genome-wide association study of cardiac magnetic resona

257 otype were derived from the EAGLE-consortium genome-wide association study of children's aggressive b

258 Using weights based on the largest genome-wide association study of congenital heart defect

259 We undertook a genome-wide association study of emotional empathy (EE)

260 enomic locus underlying WBLM, we performed a genome-wide association study of fat-adjusted WBLM in th

261 A recent genome-wide association study of Huntington disease (HD)

262 alyzed these results to generate the largest genome-wide association study of IPF to date (2,668 IPF

263 We conducted a genome-wide association study of Lifetime Anxiety Disord

264 We did a genome-wide association study of NKTCL in multiple popul

265 ion from the Psychiatric Genomics Consortium genome-wide association study of schizophrenia.

266 We did a genome-wide association study of sCJD in European ancest

267 A genome-wide association study of urine 6-bromotryptophan

268 eat-shock co-chaperone sacsin We conducted a genome-wide association study of visual bleaching score

269 We analyzed recent large genome-wide association studies on patients with SCZ (N

270 the lifespan by conducting meta-analyses of genome-wide association studies on persistent ADHD in ad

271 tecture of human body weight, we conducted a genome-wide association study on 5,336 subjects in four

272 ants as published electrocardiographic trait genome-wide association studies, our study identified 6

273 on summary statistics from a European-based genome-wide association study perform poorly in Mexican

274 k variants for brain disorders identified by genome-wide association studies reside in the noncoding

275 Here we integrate genome-wide association study results with single-cell t

276 Recent genome-wide association studies revealed 163 loci associ

277 Human genomics revealed enrichment of genome-wide association study signals for coronary arter

278 In a combined quantitative trait locus and genome-wide association studies study of apple fruit tex

279 Genome-wide association studies suggest that an enhancem

280 We analyzed independent genome-wide association study summary statistics for ADH

281 tive ageing of polygenic scores derived from genome-wide association study summary statistics is not

282 rtitioned the common SNP heritability of 111 genome-wide association study summary statistics of Euro

283 -deficit/hyperactivity disorder (ADHD) using genome-wide association study summary statistics.

284 data thus corroborate findings from several genome-wide association studies that associated LITAF wi

285 ultiple approaches from molecular biology to genome-wide association studies, the genetic landscape o

286 ned how expanding electrocardiographic trait genome-wide association studies to include ancestrally d

287 requires prohibitively large cohort sizes in genome-wide association studies to meet the stringent th

288 nalysis used summary statistics from a prior genome-wide association study to derive a new GPS(CAD) f

289 In addition, we used a genome-wide association study to identify loci that are

290 variable-adjusted, trait-specific univariate genome-wide association studies using 1000-G imputed sin

291 Through meta-analysis of genome-wide association studies using UK Biobank RD case

292 ney function in the Japanese population, our genome-wide association study using the Biobank Japan da

293 A genome-wide association study was undertaken in 423,992

294 Ahead of upcoming larger genome-wide association studies, we discuss how these co

295 in between DPM2 and FAM102A) identified from genome-wide association studies were tested for associat

296 or circulating resistin levels by performing genome-wide association studies, whole-exome analysis, f

297 An important issue affecting genome-wide association studies with deep phenotyping (m

298 k gene prioritization through integration of genome-wide association studies with expression quantita

299 and TG with weights from a UK Biobank-based genome-wide association study with ~324K samples.

300 he biological and clinical interpretation of genome-wide association studies, with some therapies dev