ライフサイエンスコーパス: genetic association study

1 0 cases, 54 controls, 56 not included in the genetic association study).

2 ne model and performed a translational human genetic association study.

3 and comorbid SD were included in a two-stage genetic association study.

4 and 317 healthy subjects for a case-control genetic association study.

5 t for MAP2K7 as a candidate gene came from a genetic association study.

6 type 2 diabetes and obesity in a large U.K. genetic association study.

7 Case-control genetic association study.

8 1x10(-3) to <1x10(-8) in a prior independent genetic association study.

9 etic model for non-normal quantitative trait genetic association study.

10 This was a family- and cohort-based genetic association study.

11 posed to account for multiple comparisons in genetic association studies.

12 should be considered in any meta-analysis of genetic association studies.

13 DL)3 has been strongly linked with asthma in genetic association studies.

14 can then be used for association testing in genetic association studies.

15 studies, Mendelian randomization studies and genetic association studies.

16 ral network is proposed for use in analyzing genetic association studies.

17 the estimate of the genetic effect in cancer genetic association studies.

18 tudies of human evolutionary history and for genetic association studies.

19 and subtypes and to provide rich targets for genetic association studies.

20 e statistical power of samples recruited for genetic association studies.

21 a fraction of the cost, facilitating future genetic association studies.

22 tors can inform heritability estimations and genetic association studies.

23 demonstrate the importance of validation in genetic association studies.

24 effect against nicotine dependence in human genetic association studies.

25 an be used to detect population structure in genetic association studies.

26 leotide polymorphisms (SNPs) discovered from genetic association studies.

27 e proposed framework has applications beyond genetic association studies.

28 rtance of including environmental factors in genetic association studies.

29 trichiasis (TT) have been identified through genetic association studies.

30 ly recommended practice for population-based genetic association studies.

31 yping necessary to obtain adequate power for genetic association studies.

32 g been recognized as a confounding factor in genetic association studies.

33 ant to understanding and contextualizing new genetic association studies.

34 control measures and replication efforts in genetic association studies.

35 SNP selection for disease classification in genetic association studies.

36 ncorporate this data as prior information in genetic association studies.

37 sist in screening PubMed abstracts for human genetic association studies.

38 y curated and updated literature database of genetic association studies.

39 ies have resulted in an increasing number of genetic association studies.

40 nformation in a single appealing graphic for genetic association studies.

41 effectiveness of various design options for genetic association studies.

42 produces high-quality plots of results from genetic association studies.

43 to detect and map quantitative trait loci in genetic association studies.

44 mmon functional sequence variants at ACRs in genetic association studies.

45 poAV plasma levels, consistent with existing genetic association studies.

46 the need for multicenter collaborations for genetic association studies.

47 mpirical LD surveys and has implications for genetic association studies.

48 through both animal model studies and human genetic association studies.

49 orrectly modeling populations and performing genetic association studies.

50 perceived age may be a useful proxy trait in genetic association studies.

51 dered as a key for overcoming bottlenecks of genetic association studies.

52 publicly available results from large-scale genetic association studies.

53 riants were investigated in meta-analyses of genetic association studies.

54 antage for identifying rare risk variants in genetic association studies.

55 individuals has become standard practice in genetic association studies.

56 ortant step in the evaluation of findings of genetic association studies.

57 or comprehensive and systematic follow-up of genetic association studies.

58 iants of complex human disease phenotypes in genetic association studies.

59 ecause it determines sampling strategies for genetic association studies.

60 y populations have been under-represented in genetic association studies.

61 ation stratification is a growing concern in genetic-association studies.

62 patient group could be another approach for genetic-association studies.

63 In this case-control genetic association study, 336 patients with cCSC and 13

64 Although genetic association studies account for a substantial pr

65 type to genotype have led to an explosion of genetic association studies across a wide range of pheno

66 Several clinical genetic association studies along with multi-modal evide

67 In genetic association studies, analyses integrating data o

68 opulation structure analysis is important to genetic association studies and evolutionary investigati

69 udies, Mendelian syndromes, linkage studies, genetic association studies and expression studies.

70 icated in inflammatory bowel disease by both genetic association studies and functional studies in kn

71 The methods are applicable to other types of genetic association studies and nongenetic studies.

72 single-cell transcriptomics, population-wide genetic association studies and pharmacological experime

73 f targeting intermediate brain phenotypes in genetic association studies and the growing importance o

74 be used to improve case-control matching in genetic association studies and to reduce the risk of sp

75 eneral community by performing a large-scale genetic association study and to assess its functional s

76 illustrate why it represents a challenge for genetic association studies, and briefly discuss how it

77 structure among study subjects may confound genetic association studies, and lack of proper correcti

78 gene regulatory evolution, interpretation of genetic association studies, and precision medicine.

79 Large-scale genetic association studies are carried out with the hop

80 Large-scale genetic association studies are now widely conducted usi

81 Although most genetic association studies are performed with the inten

82 Genetic association studies are rapidly becoming the exp

83 model arbitrary interactions between SNPs in genetic association studies as an extension to the mixed

84 ct provides an unprecedented opportunity for genetic association studies at the genomewide level for

85 Rare variants are of increasing interest to genetic association studies because of their etiological

86 for summary-level findings produced by human genetic association studies, both large and small.

87 he complement system in MDs was suggested by genetic association studies, but direct functional conne

88 ions inform the design and interpretation of genetic association studies, but few programs are tailor

89 DL3) has been strongly linked with asthma in genetic association studies, but its function in asthma

90 Collecting cases for case-control genetic association studies can be time-consuming and ex

91 Genetic association studies can potentially identify suc

92 In addition, genetic association studies commonly adopt case-control

93 A genetic association study comparing patients with an ele

94 The increasing number of genetic association studies conducted in multiple popula

95 Here we review genetic association studies conducted to search for DNA

96 Lung, and Blood Institute's Next Generation Genetic Association Studies Consortium has used induced

97 Genetic association studies demonstrated a role for cyto

98 ex-specific differences is useful in guiding genetic association study design, for example when using

99 vides a novel quantitative endophenotype for genetic association studies directed towards identifying

100 nfounding on the analysis of high-throughput genetic association studies, e.g. (whole-genome) sequenc

101 ation of individual ancestry is important in genetic association studies, especially when a large num

102 ever, such an assumption may not be valid in genetic association studies, especially when complex int

103 rove the prognosis for the utility of murine genetic association studies for biomedical discovery.

104 for developing novel analytical methods for genetic association studies for DNA sequence data.

105 digm, we present the results of 20 different genetic association studies for quantitative traits rela

106 udy underlines the importance of replicating genetic association studies for rare diseases in large i

107 rly updated online database of all published genetic association studies for schizophrenia ('SzGene')

108 -environment interactions are of interest in genetic association studies for several reasons.

109 act, Gene Prospector included more published genetic association studies for the 13 leading candidate

110 We conducted a genetic association study for aPTT in 9719 EAs and 2799

111 nd Septic Shock Trial cohort, we performed a genetic association study for survival, mortality, and o

112 for the assessment of cumulative evidence in genetic association studies, four of the significant res

113 nxiety disorders, including the evolution of genetic association studies from genetic epidemiology to

114 Compared with marginal genetic association studies, G x E analysis requires mor

115 Finally, in humans, genetic association studies (>700,000 single nucleotide

116 The development of genome-wide genetic association studies (GWAS) raised the hope that

117 Incorporating family data in genetic association studies has become increasingly appr

118 orphisms (SNPs) across the human genome in a genetic association study has identified three psoriasis

119 Genetic association studies have become standard approac

120 Genetic association studies have been used to map diseas

121 Genetic association studies have explained only a small

122 Historically, genetic association studies have focused on characterizi

123 eveal biological mechanisms for results from genetic association studies have great potential to bett

124 ave improved as the sample size and scale of genetic association studies have grown.

125 ability; despite its high genetic component, genetic association studies have had limited success det

126 nsidered heritable traits, although previous genetic association studies have had limited success in

127 Large-scale genetic association studies have identified >20 rheumato

128 Genetic association studies have identified 21 loci asso

129 Genetic association studies have identified 215 risk loc

130 Genetic association studies have identified 44 common ge

131 Recent genetic association studies have identified 55 genetic l

132 Recent human genetic association studies have identified changes occu

133 While multiple genetic association studies have identified KL polymorph

134 Genetic association studies have identified not only hun

135 Rationale: Genetic association studies have identified rs2076295 in

136 Genetic association studies have identified sequence var

137 In parallel, genetic association studies have identified several gene

138 New findings from genetic association studies have identified several pote

139 uch reactions involve immune mechanisms, and genetic association studies have identified strong linka

140 Over the past decade, genetic association studies have largely focused on comm

141 Recent genetic association studies have made progress in uncove

142 Genetic association studies have not yet identified nove

143 Genetic association studies have provided evidence conce

144 Genetic association studies have shown a 2-fold or great

145 Human genetic association studies have shown gene variants in

146 1, IFNlambda2, and IFNlambda3 act antiviral, genetic association studies have shown that expression o

147 While genetic association studies have successfully identified

148 Genetic association studies have successfully revealed a

149 Genetic association studies have used variants in the C-

150 Genetic association studies have yielded a wealth of bio

151 rast to many other common diseases for which genetic association-studies have successfully revealed c

152 ed models have become the tool of choice for genetic association studies; however, standard mixed mod

153 Additionally, genetic association studies identify numerous loci harbo

154 In a genetic association study, if a substantial proportion o

155 Evidence from genetic association studies implicate genes involved in

156 Genetic association studies implicated variants in loci

157 ysis of human population history or used for genetic association studies in admixed individuals.

158 Genetic association studies in admixed populations are u

159 t consideration and advantage for performing genetic association studies in admixed populations.

160 RATIONALE: Genetic association studies in chronic obstructive pulmo

161 For genetic association studies in designs of unrelated indi

162 ed to follow up on GWAS findings and conduct genetic association studies in diverse populations.

163 merging as a method of choice for conducting genetic association studies in humans and other organism

164 publicly available results from large-scale genetic association studies in humans.

165 However, genetic association studies in inbred model organisms ar

166 rategy to securely perform meta-analysis for genetic association studies in large consortia.

167 Genetic association studies in oncology often use tumor

168 matically synthesized and graded evidence of genetic association studies in schizophrenia.

169 This suggests that the power of genetic association studies in some complex traits will

170 nd show the potential for new discovery from genetic association studies in South Asians, a populatio

171 We performed a genetic association study in 15,256 cases and 47,936 con

172 We performed a genetic association study in 469 community-acquired pneu

173 We carried out an array-based genetic association study in a cohort of patients with C

174 Moreover, a genetic association study in a haloperidol-treated human

175 Genetic association study in an Ohio National Guard long

176 This first POAG genetic association study in black South Africans has th

177 tween genotype and endotoxin exposure in the genetic association study in relation to symptomatic air

178 h NCI in HIV-infected adults and performed a genetic association study in the CNS HIV Antiretroviral

179 Evidence from genetic-association studies in conjunction with the demo

180 difficulty is particularly salient in human genetic association studies, in which phenotypic variati

181 g areas: identification of new genes through genetic association studies, including genome-wide assoc

182 As genetic association studies increase in size to 100 000s

183 Genetic association studies increasingly rely on the use

184 Most KIR-HLA genetic association studies indicate a primary influence

185 Genetic association studies indicate that a genetic locu

186 ccumulating data, including those from large genetic association studies, indicate that alterations i

187 Although large-scale genetic association studies involving hundreds to thousa

188 Synthesis of data from published human genetic association studies is a critical step in the tr

189 Evidence from genetic association studies is accumulating rapidly.

190 versus persistent infections for large-scale genetic association studies is highlighted.

191 A major challenge in genetic association studies is that most associated vari

192 A dominant approach to genetic association studies is to perform univariate tes

193 standard method of measuring this bias in a genetic association study is to compare the observed med

194 rly for subsequent time-to-event analysis in genetic association studies, is unknown.

195 For analysis of case-control genetic association studies, it has recently been shown

196 r to control the family-wide Type 1 Error in genetic association studies, it is not clear which metho

197 Genetic association studies may allow us to determine th

198 Genetic association studies may help elucidate their ori

199 Contemporary genetic association studies may test hundreds of thousan

200 The OCD Collaborative Genetics Association Study (OCGAS) is comprised of compr

201 importance of considering local ancestry in genetic association studies of admixed populations.

202 the literature and assessed the evidence on genetic association studies of aggression and related ou

203 rs are currently available for the design of genetic association studies of binary phenotypes and qua

204 Early genetic association studies of biological candidate gene

205 genesis of IgA nephropathy, but results from genetic association studies of candidate genes are incon

206 tabase of human genetic variation for use in genetic association studies of common diseases.

207 tion that these patterns would be useful for genetic association studies of common diseases.

208 e of including diverse populations in future genetic association studies of complex traits such as li

209 Importantly, human genetic association studies of different AD cohorts led

210 Previous genetic association studies of human immunodeficiency vi

211 Genetic association studies of local adaptation combine

212 Genetic association studies of multiple populations inve

213 sible impact of population stratification in genetic association studies of outbred populations, such

214 Genetic association studies of prostate and other cancer

215 Genetic association studies of psychiatric outcomes ofte

216 cular bases of vision have been made through genetic association studies of rare inherited maculopath

217 ility have been identified by means of large genetic association studies of refractive error.

218 Previous genetic association studies of serum cotinine have focus

219 Genetic association studies of single-nucleotide polymor

220 tion structure is necessary to avoid bias in genetic association studies of susceptibility variants f

221 ntegrate informative data from all available genetic association studies of this trait, irrespective

222 friendly software for power calculations for genetic association studies of time to event outcomes, w

223 To date, most genetic association studies of tobacco use have been con

224 Genetic association studies of transplantation outcomes

225 The authors carried out a genetic association study of 14 schizophrenia candidate

226 We performed a large-scale genetic association study of 2189 ICH cases and 4041 con

227 Results were confirmed in a genetic association study of children from Brazil with t

228 This is the first large-scale genetic association study of circulating NT-proANP level

229 This was a case-control genetic association study of HTT CAG allele size in two

230 We performed a two-stage genetic association study of kidney allograft rejection.

231 This is the first large-scale genetic association study of proteins in plasma measured

232 This first genetic association study of RRD supports a polygenic co

233 Finally, in a candidate-driven genetic association study of severe SARS-CoV-2 disease,

234 We conducted a genetic association study of the biomarker in African Am

235 We performed a genetic association study of the MYP3 locus in a family-

236 Genetic association studies offer an opportunity to find

237 Genetic association studies often sample individuals wit

238 Although genetic association studies often test multiple, related

239 We conducted a genetic association study on 523 participants to establi

240 Thus, we carried out a genetic association study on the sample of 702 consecuti

241 tial detrimental nsSNPs may be identified by genetic association studies or by functional analysis in

242 ute further proof of the value of conducting genetic association studies outside the traditional sett

243 ential source of concern in population-based genetic association studies, particularly in recently ad

244 This review discusses genetic association studies, particularly those publishe

245 genetic data is motivated by applications in genetic association studies, population genetics and per

246 scovering causal genetic variants from large genetic association studies poses many difficult challen

247 s one of the major sources of confounding in genetic association studies, potentially causing false-p

248 Genetic association studies provide evidence for a subst

249 enetic variation: candidates identified from genetic association studies, rare single gene mutations

250 tematic review was performed and included 84 genetic association studies reporting data for 183 polym

251 poorly understood with the vast majority of genetic association studies reporting on single candidat

252 within 15 mouse strains previously used for genetic association studies, sequencing and the Mouse Ph

253 As the focus of genetic association studies shifts to rare variants, gen

254 Epidemiological and genetic association studies show that genetics play an i

255 al gene(s) to a risk variant identified by a genetic association study such as a GWAS.

256 Genetic association studies, such as recent genome-wide

257 Genetic association studies suggest that variations in t

258 licated genes were previously highlighted by genetic association studies, suggesting that DNA methyla

259 The current genetic association study tested the circadian gene hypo

260 e system in the development of MS, including genetic association studies that have now dramatically e

261 cture have not been addressed in most of the genetic association studies that provide the knowledge b

262 Large-scale genetic-association studies that take advantage of an ex

263 sms (SNPs) across the human genome have made genetic association studies the mainstream for gene mapp

264 alculators for statistical power analysis in genetic association studies, there has not been a model-

265 In recent human genetic association studies, this single-nucleotide poly

266 Genetic association studies to date have not identified

267 The entirety of genetic association studies to date that focus on respon

268 The challenge now is to use limited genetic association studies to find individually identif

269 t overall effects which will require further genetic association studies to provide definitive eviden

270 ng technologies have made feasible empirical genetic association studies to search for rare disease s

271 velopmental diseases such as autism, linking genetic association studies to specific molecular pathwa

272 rosis Genetics Consortium study, the largest genetic association study to date for MS (including up t

273 ast array of summary data now available from genetic association studies, to test formally for locus

274 xture mapping, a novel method for conducting genetic-association studies, to find a region that was s

275 Case-control genetic association studies typically ignore possible la

276 wer calculations in Haplin are applicable to genetic association studies using either log-linear or m

277 gradient directed regularization) method to genetic association studies using SNPs, analyze data fro

278 A multistage genetic association study was conducted of three critica

279 A genetic association study was performed in 474 children

280 A genetic association study was performed, which identifie

281 Turning to genetic association studies, we survey the main ways tha

282 As an important first step to a genetic association study, we sought to identify all com

283 develop a more powerful statistical test for genetic-association studies, we combined evidence about

284 Genetic association studies were included if outcome dat

285 First, published genetic association studies were used to identify single

286 timating individual ancestry is important in genetic association studies where population structure l

287 med to analyze Affymetrix SNP arrays data in genetic association studies, where different types of st

288 Genotype imputation is a key component of genetic association studies, where it increases power, f

289 s problem arises in many settings, including genetic association studies, where the explanatory varia

290 technologies are being increasingly used for genetic association studies, where the main research int

291 Genetic association studies which survey the entire geno

292 Such large-scale genetic association studies will promote better understa

293 opulation-level and suggest that future fine genetic association studies will yield useful results fo

294 Through genetic association studies with cardiac disease phenoty

295 We conclude that in large genetic association studies with complex sampling scheme

296 Our results suggest that most published genetic association studies with economic and political

297 h groups worldwide have published over 1,000 genetic association studies with largely inconsistent re

298 Thus, coupling multiple genetic association studies with mechanistic dissection

299 In large-scale genetic association studies with tens of hundreds of sin

300 families with PINK1 p.G411S and conducted a genetic association study with 2560 patients with Parkin