ライフサイエンスコーパス: race

1 nfluence implicit attitudes (e.g., towards a race).

2 diated Rapid Amplification of cDNA Ends (PPM-RACE).

3 nt portion of birthweight variations for any race.

4 and costs of care were associated with Asian race.

5 rong evidence for a contemporary sexual arms race.

6 ferences related to sex and African American race.

7 nce after model adjustment for age, sex, and race.

8 differences in access to transplantation by race.

9 lity of plants to aphids, regardless of host race.

10 erences in risk factors by sex and ethnicity/race.

11 odialysis patients but the effects differ by race.

12 hways with isomiRs and tRFs differed in each race.

13 g design and were adjusted for age, sex, and race.

14 survival after in-hospital cardiac arrest by race.

15 5% CI, 1.13-1.46) adjusted for age, sex, and race.

16 or TMPRSS2:ERG, in prostate cancer varies by race.

17 y/duration, age of introduction, gender, and race.

18 requent outcomes of the plant-herbivore arms race.

19 erformed separately by sex and self-reported race.

20 the different risk profile of women of black race.

21 al United States, and the patterns differ by race.

22 ence with no significant differences between races.

23 stinct incidence and survival patterns among races.

24 erential acceptability of plants to A. pisum races.

25 gression (plaque size), and compared between races.

26 by the fungal pathogen Cochliobolus carbonum race 1, promotes virulence in maize through altering pro

27 tients were of white race (56.9%) with black race (16.7%), Hispanic ethnicity (15.8%), and Asian race

28 6.7%), Hispanic ethnicity (15.8%), and Asian race (2.8%) comprising the other major race/ethnic group

29 thicker among those of black or mixed/other race (+3.61 and +1.77 mum vs. white, respectively; P < 0

30 port, the majority of patients were of white race (56.9%) with black race (16.7%), Hispanic ethnicity

31 he study period, stratified by age, sex, and race.A 1-y MMC in 2015 would increase the average nation

32 We discuss implications for race-adapted cancer screening programs and clinical tria

33 We calculated age-, sex-, and race-adjusted SIRs, with 95% confidence intervals (CIs),

34 ospitalization, we analyzed by sex, age, and race, adjusting for demographic and clinical characteris

35 P < .001) and this was independent of stage, race, adjuvant chemotherapy, year of study, number of pa

36 teria and archaea involves an incessant arms race against an enormous diversity of genetic parasites.

37 Associations were similar for race, age at menarche, age at first birth, family histor

38 c regression stratified according to age and race and adjusted for body mass index, parity, and menop

39 Person information such as sex, race and age is also difficult to access from drone-capt

40 We found no significant interaction between race and digoxin use for mortality (P=0.4437) and hospit

41 Race and educational level were not significantly associ

42 We found a significant disparity for race and educational level with African American patient

43 bserved, but rates were highest in all major race and ethnic groups in Texas.

44 Geographic variation within individual race and ethnic groups was observed, but rates were high

45 er than 1 year, specific diagnoses, minority race and ethnicity, and disadvantaged socioeconomic stat

46 ople aged 25-64 years by age group, sex, and race and ethnicity, and to identify specific causes of d

47 o NEC in preterm babies, especially in white race and female babies.

48 n important element in the evolutionary arms race and has led to highly engineered optical materials

49 djusting for baseline characteristics, black race and Hispanic ethnicity remain independent predictor

50 Black race and Hispanic ethnicity were associated with lower r

51 However, use of CRT-D differed by race and implanting operator characteristics.

52 To determine the impact of race and insurance on use of minimally invasive (MIS) co

53 Even after adjusting for race and other important confounders, participants with

54 ve suggested an association between nonwhite race and poor outcomes in small subsets of cardiac surge

55 hold of 8 ppb of NO2 and after adjusting for race and season (spirometry standardized by age, height,

56 ve been described, but little is known about race and sex differences in post-MI angina and long-term

57 Race and sex disparities in in-hospital treatment and ou

58 ential confounding due to age, sex, smoking, race and socio-economic status.

59 Confederate race and socioeconomic status, both of which were random

60 hemoglobin, albumin, selected comorbidities, race and type of insurance as well as donor age, diabete

61 of other races or those with multiple listed races and those with missing data regarding race or the

62 erns using rapid amplification of cDNA ends (RACE) and full-length cDNA sequencing, revealed four ind

63 isease, chronic kidney disease, women, black race, and 3 levels of baseline systolic BP (</=132 versu

64 ation or better, 754 (10.0%) reporting black race, and 505 (6.7%) reporting Hispanic ethnicity.

65 donation and utilization stratified by age, race, and body mass index.

66 thletes after adjusting for their size, age, race, and cardiac risk factors.

67 tional hazards model adjusting for age, sex, race, and comorbidity.

68 ing scenarios and compared responses by age, race, and education.

69 ilevel modeling that accounted for age, sex, race, and educational level found significant difference

70 Age, sex, race, and ethnicity have small effects on the Z scores t

71 sion showed independent associations of sex, race, and region with SLE mortality risk and revealed si

72 ed with severity (asthma duration, age, sex, race, and socioeconomic status) did not associate with e

73 ly higher for women than for men of the same race, and the differences were greatest in younger age g

74 lciphylaxis (controls) matched for age, sex, race, and warfarin use.

75 in multivariable models including age, sex, race, APOE genotype, and educational level.

76 Epidemiological studies point to race as a determining factor in cancer susceptibility.

77 mation about the donor, including gender and race, as well as for the analysis of a variety of other

78 that treatment effects vary according to the race, as well as gender, of the subject.

79 luding demographic variables such as sex and race, as well as illness dimensions such as stigma and i

80 Hispanic race, Asian race, Medicaid insurance, and no insurance a

81 Race-assortative mixing alone could not sustain a pre-ex

82 ch documents the widespread misperception of race-based economic equality in the United States.

83 of and unfounded optimism regarding societal race-based economic equality-a misperception that is lik

84 s and organs used in the coevolutionary arms race between predator and potential prey.

85 vide a snapshot of an ongoing molecular arms race between viral suppressors and the immune system the

86 infections that are observed, implicating a race between virus replication and the spread of the ant

87 Race (black or white).

88 of the strongest examples of a sexual 'arms race' come from observations of correlated evolution in

89 After adjusting for age, body mass index, race, current smoking status, and recent hormonal contra

90 d in response to inoculation with a virulent race, CYR31.

91 no congestive heart failure, warfarin, age, race, diastolic blood pressure, stroke), and observed th

92 ontroversial theory of the climatic basis of race differences in violent crime.

93 e-specific antigen (PSA) level, PSA density, race, digital rectal examination results, and biopsy res

94 validated competing-risk model included age, race, disease location, and antimicrobial serologies and

95 el factors as a major contributor to explain race disparities in palliative care use after stroke.

96 ) were strongly associated with the observed race disparities in TNBC.

97 Results show increased race-driven misidentification of weapons during systole,

98 on obesity prevalence corrected for poverty, race education and temperature was much lower and hence

99 Statin eligibility increased among all race, education, and income groups.

100 nonsepsis controls after adjusting for sex, race, education, income, region, tobacco use, and select

101 Analyses included baseline covariates: race, education, smoking status, diabetes, and cardiovas

102 Place of birth, race, educational level, and midlife vascular risk facto

103 qual numbers of women and men from each of 4 race/ethnic groups (blacks, Asians, Hispanics, and non-H

104 rs in Asians with those of four other NHANES race/ethnic groups (white, black, Mexican American, and

105 antly for both men and women and for certain race/ethnic groups among younger adults aged 18 to 54 ye

106 Asian race (2.8%) comprising the other major race/ethnic groups.

107 ic white infants was 3381 g, while for other races/ethnicities birth weight ranged from being 289 g s

108 5%) were Hispanic, and 1555 (13%) were other races/ethnicities.

109 ositively associated among children of other races/ethnicities.

110 onship, adjusting for demographic (sex, age, race, ethnicity), socioeconomic (income, education, insu

111 me models considered factors such as gender, race, ethnicity, education, body mass index, chronic obs

112 h a normal echocardiogram included age, sex, race, ethnicity, height, weight, echocardiographic image

113 arities in NO2 concentrations were larger by race-ethnicity than by income.

114 hospitals, regardless of individual patient race/ethnicity (adjusted odds ratio, 0.65; 95% CI, 0.50-

115 Risk differences adjusted for age, sex, and race/ethnicity (ARDs) assessed trends from the 2004-2005

116 evel were similar across models and included race/ethnicity (concentrations in non-European groups we

117 Hispanic (n = 157), and 9.9% were of another race/ethnicity (n = 71).

118 for each TFA and their sum by age, sex, and race/ethnicity (non-Hispanic white, non-Hispanic black,

119 he extent by which health insurance type and race/ethnicity affected the odds of undergoing glaucoma

120 plementation on bone health and suggest that race/ethnicity and BMI play an important role in pregnan

121 We aimed to describe the association between race/ethnicity and effectiveness of new direct-acting an

122 that screening rates among children vary by race/ethnicity and family income.

123 es in participation and degree attainment by race/ethnicity and gender.

124 nstructed to examine the association between race/ethnicity and hospital mortality, adjusting for dem

125 iscussion about how the relationship between race/ethnicity and obesity in the United States is consi

126 was used to evaluate the association between race/ethnicity and palliative care use within and betwee

127 erval CRC among Medicare patients differs by race/ethnicity and whether this potential variation is a

128 Age, sex, and race/ethnicity are nonmodifiable risk factors for both i

129 Data on interval CRC by race/ethnicity are scant.

130 years, and 2839 (85.6%) self-reported their race/ethnicity as white.

131 dult Health and Aging (GERA) cohort, in four race/ethnicity groups: non-Hispanic whites, Hispanic/Lat

132 Though disparities in birth weight by race/ethnicity have been extensively reported in the Uni

133 The self-reported race/ethnicity of participants consisted of 45 (46%) bla

134 s of urbanization, neighborhood poverty, and race/ethnicity on rates of asthma outpatient visits, ED

135 when evaluating discrimination attributed to race/ethnicity or to a combination of other sources.

136 rs of harder-to-recruit women also enrolled (race/ethnicity other than non-Hispanic white: 16%; no co

137 justed in-hospital sepsis mortality rates by race/ethnicity to inform efforts to reduce disparities i

138 I), younger age (<40 yrs), Black or Hispanic race/ethnicity versus non-Hispanic White (OR 1.10, 95% c

139 regression after adjusting for age, sex, and race/ethnicity was 2.96 (95% CI, 1.60-5.50; P = .001) Th

140 ng them, 3575 (47.8%) were female, and their race/ethnicity was 3615 white (48.3%), 2310 black (30.9%

141 Race/ethnicity was a moderator; atypical MDD was a stron

142 White race/ethnicity was associated with lower diversity but h

143 n urban or poor areas and non-Hispanic black race/ethnicity were all independently associated with in

144 adjusted for patient and hospital factors by race/ethnicity were calculated.

145 d women of Asian, Native American, or unkown race/ethnicity who are referred to as "other." The main

146 his study aims to examine the association of race/ethnicity with mortality in pediatric patients who

147 panic, 49% non-Hispanic white, and 20% other race/ethnicity) were randomly assigned to either FBT or

148 ere white, 9% were black, and 23% were other race/ethnicity), 88 had serious respiratory morbidity, 2

149 40 patients [80.8%] self-identified as white race/ethnicity).

150 age range, 26-61 years; 4 female; 4 of white race/ethnicity, 1 Asian, and 1 Hispanic), 5 exhibited an

151 ) were female, 56.7% (n = 114) were of white race/ethnicity, 26.9% (n = 54) were black/African Americ

152 confidence intervals associated with SEP and race/ethnicity, adjusted for sex, age, and year of diagn

153 Raking by race/ethnicity, age, and stage generated weighted averag

154 Number of prescriptions, language, race/ethnicity, and age were associated with increased r

155 s between residence in poor and urban areas, race/ethnicity, and asthma morbidity among children with

156 and uninfected veterans matched by age, sex, race/ethnicity, and clinical site, enrolled on or after

157 ded interactions of ECT with age group, sex, race/ethnicity, and diagnosis group.

158 adjustment for maternal age, marital status, race/ethnicity, and education, the risk ratio was 1.68 (

159 models adjusted for demographics (age, sex, race/ethnicity, and income level), alcohol and tobacco u

160 bpopulations based on household composition, race/ethnicity, and income.

161 age, relationship status, primary language, race/ethnicity, and number of prescriptions.

162 ve to HEU participants, controlling for age, race/ethnicity, and sex.

163 e Hispanic or Latino, 9 (2.5%) were of other race/ethnicity, and the median left ventricular ejection

164 ion was used to control for state, age, sex, race/ethnicity, and year, with Taylor series linearized

165 Other covariates included age, sex, race/ethnicity, anxiety or mood disorders, family histor

166 lated probes, after adjustment for age, sex, race/ethnicity, batch effects, inflation, and multiple c

167 azards models, with adjustment for age, sex, race/ethnicity, body mass index, diabetes status, diagno

168 Adjustment for PDR did not alter HRs by race/ethnicity, but differences between black persons an

169 Models were adjusted for age, sex, race/ethnicity, education, employment status, tobacco us

170 010 American Community Survey (ACS) included race/ethnicity, education, income, poverty, unemployment

171 Response was related to age, state, race/ethnicity, education, marital status, smoking, and

172 nal logistic regression models adjusting for race/ethnicity, history of Medical Assistance, and mode

173 Irrespective of race/ethnicity, Medicaid recipients with OAG are receivi

174 ox regression, while adjusting for age, sex, race/ethnicity, modified Charlson comorbidity index, smo

175 Sex, age, race/ethnicity, neighborhood education and poverty level

176 sistently important effects include minority race/ethnicity, poor social supports, and poor perceived

177 ional study with group matching on age, sex, race/ethnicity, probation time, and offense at 2 urban a

178 There were no differences in age, race/ethnicity, sex, comorbidities, insurance status, le

179 ecific VI in the better eye were reported by race/ethnicity, state and region, and per capita prevale

180 g index diagnosis, age, sex, age by sex, and race/ethnicity, was developed and externally validated,

181 l or other, and 4.5% (n = 9) were of unknown race/ethnicity, with 21.9% (n = 44) of all individuals s

182 Compared with the MESA cohort, the race/ethnicity- and sex-adjusted risk of AMD in LSOCA wa

183 Results from age- and race/ethnicity-adjusted linear regression analyses indic

184 A formal test of interaction between race/ethnicity-specific height and sex was not significa

185 etabolic syndrome in young adulthood, across race/ethnicity.

186 tion worked well across subgroups of sex and race/ethnicity.

187 hite Hispanic, and 26 (33%) were other/mixed race/ethnicity.

188 controlling for sex, age, site, smoking, and race/ethnicity.

189 ox proportional hazards models stratified by race/ethnicity.

190 fferent contrast, laterality, gender, and/or race/ethnicity.

191 terality; five for a different gender and/or race/ethnicity; and 15 in the opposite direction and for

192 eight were further confirmed with the RLM 5'-RACE experiments.

193 01), with significant effect modification by race for acute rejection, but not graft loss.

194 r to rapid amplification of 5' cDNA ends (5' RACE) for HIV-1 RNA and quantitative reverse transcripta

195 Participants in U.S. triathlon races from 1985 to 2016.

196 mes vary within subgroups selected a priori (race, gender and delivery mode).

197 After adjusting for age, race, gender, and follow-up years, the cross-lagged path

198 lacement time, prior kidney transplantation, race, gender, diabetes, and transplant date/waitlisting

199 ing discharged home after adjusting for age, race, gender, severity of illness, and chronic comorbidi

200 alysis of TMPRSS2:ERG fusions in relation to race, Gleason score, and tumor stage, combining results

201 BP targets with cognition and differences by race have not been systematically evaluated in the same

202 n ecology, such as trophic dynamics and arms races, have an evolutionary basis that remains mostly un

203 te was associated with self-identified white race, higher educational attainment, lower religiosity,

204 African-American race/Hispanic ethnicity and requirement for more than 1

205 d with the overreporter phenotype: non-white race: Hispanic, odds ratio (OR), 2.4, P = .02; Asian, OR

206 tional hazards models adjusted for age, sex, race, HIV risk group, calendar year, cohort, CD4 count,

207 cting men and women of different ethnicities/races; however some risk factors appear stronger in wome

208 ale sex (HR, 1.56; 95% CI, 1.34-1.81), white race (HR, 9.04; 95% CI, 6.20-13.18), age at transplant 5

209 validation using RNA cleavage assays, and 5' RACE identified the prooncogenic basic helix-loop-helix

210 uest Editorial highlights the reviews in the Race in Cancer Health Disparities Theme Issue that impro

211 ove our understanding of the complex role of race in disparities in cancer frequency and outcome.

212 eriments to test whether catch shares reduce racing in 39 US fisheries.

213 acterial and phage strains suggests an 'arms race' in which phage escape from the type I-F system can

214 Differences relating to self-reported race, income, education, and insurance status were asses

215 5' RACE indicates a transcription start site for HYDIN2 out

216 The impact of race was tested using a race interaction term.

217 Work to close the gap in the care cascade by race is imperative, as are efforts to increase serodiscu

218 though when this analysis was broken down by race, its positive effect was particularly evident among

219 digm of host-parasite evolution is that arms races lead to increasing specialisation via genetic adap

220 Biopsy or intervention, comorbidity, black race, low income, public insurance, and NS-colo were ass

221 Older age, white race, lower BMI, IV drug use, lower baseline CD4, HCV co

222 re associated with shorter height, non-White race, lower physical workload, lower job strain, higher

223 evated risk imparted by increased age, white race, male sex, and thoracic organ transplantation.

224 ifferences in kappa statistics based on age, race, marital status, educational level, and income.

225 with invasive breast cancer and 274 age- and race-matched control subjects who underwent screening FF

226 Hispanic race, Asian race, Medicaid insurance, and no insurance associated in

227 Data obtained included age, gender, race, medical ICU admitting diagnosis, location at time

228 ork has revealed that a virus-antibody "arms race" occurs in which a HIV-1 transmitted/founder (TF) E

229 nfarction after adjustment for age, sex, and race (odds ratio, 2.05; 95% confidence interval 1.6-2.7;

230 nt the results from a study to determine the race of semen donors.

231 alysis, higher serum creatinine level, black race, older age, and ischemic heart disease were associa

232 er odds of PNVI was associated with nonwhite race, older age, male sex, less than high school educati

233 ime in the HIV population based on sex, age, race or ethnic group, calendar year, and registry).

234 year in 2011-2012, P<0.001 for trend across race or ethnic group, sex, and age subgroups).

235 After adjustment for age, sex, and race or ethnic group, the relative annual increase in th

236 To determine whether minority race or ethnicity is associated with mortality and media

237 Models were adjusted for age, race or ethnicity, smoking, hepatitis C virus infection,

238 iving south of this latitude, independent of race or ethnicity, socioeconomic status, or body mass in

239 ults varies by insurance coverage but not by race or ethnicity.

240 rd insects or flowers, problematic as toward race or gender, or even simply veridical, reflecting the

241 lusion criteria were missing data for either race or initial PD modality.

242 African American race or PPI use with LDV/SOF +/- RBV was not associated

243 e-comparable populations, without regard for race or sex, whereas prevalence of total periodontitis (

244 races and those with missing data regarding race or the diagnostic cardiac catheterization.

245 Excluded were all patients of other races or those with multiple listed races and those with

246 (OR 9.2, P < 0.001, 95% CI 4.2-20.3), white race (OR 2.1, P = 0.04, 95% CI 1.1-3.9), and advancing a

247 5% confidence interval [CI], 1.2-2.7), black race (OR, 1.5; 95% CI, 1.1-2.0), support with >/=inotrop

248 hat erodes genetic variation (Red Queen arms race) or results in a balanced polymorphism (Red Queen d

249 not differ significantly in terms of gender, race, or age.

250 /= 1 cm did not differ significantly in age, race, or duration of follow-up.

251 d models or those adjusted for age, sex, and race (P >0.1 for all).

252 ew VO2 peak ) at a speed approximating 20 km race pace was reduced in HCHO and PCHO (90% CI: -7.047,

253 walking at velocities relevant to real-life race performance: O2 uptake (expressed as a percentage o

254 ons included age, female sex, black/Hispanic race, prior amputation, Charlson comorbidity index, and

255 d RNA-Seq procedures, as well as a 1200 bp 5 RACE product coupled with PACBio sequencing that can ide

256 Reports of race-related triathlon fatalities have raised questions

257 veillance interval included African American race (relative risk [RR] to white, 1.41; 95% confidence

258 alizes to a nationally representative, mixed-race sample is unknown.

259 ere matched to nonnavigated patients on age, race, sex, cancer acuity (high vs low), comorbidity scor

260 and socioeconomic variables, including age, race, sex, marital status, service connection, prescript

261 When adjusted for age, height, race-sex group, peak lung function, and years from peak

262 yroid disease when controlling for age, sex, race, smoking status, and autoimmune disease.

263 A model containing procedure type, age, race, smoking, diabetes, liver disease, obesity, renal f

264 rolling for covariates (age, sex, education, race, smoking, physical activity, and obesity), people w

265 eligibility most among adults with nonwhite race, socioeconomic disadvantage, and no health insuranc

266 The sequences of the RACE sorted cells indicate that they were potential huma

267 effective in controlling crop diseases than race-specific resistance because of its broad spectrum a

268 Non-race-specific resistance has been more effective in cont

269 ranscription factor in rice that confers non-race-specific resistance to blast.

270 Here, we identify novel genome-wide, race-specific RNA splicing events as critical drivers of

271 een RT dose groups, accounting for age, sex, race, stage, surgery type, margin status, comorbidities,

272 logistic regression, adjusted for age, sex, race, state (Iowa or North Carolina), and smoking (pack

273 study, this study assessed the longitudinal race-stratified associations between BP and cardiovascul

274 equency questionnaire, age, body mass index, race, supplement use, smoking status, educational level,

275 In logistic regression models stratified by race, the median(range) predicted prevalence of the risk

276 The proportions of patients of black race, those with heart failure signs at admission, and b

277 lable immunoglobulin sequences and 5' and 3' RACE to clone and sequence heavy and light chain immunog

278 theory that market-based management ends the race to fish, we find strong evidence that catch shares

279 ariable linear regression adjusting for age, race, traditional CVD risk factors, kidney function, ins

280 nasal) BMO-MRW were measured and compared by race using generalized estimating equations.

281 ed training and mild energy deficit in elite race walkers increases peak aerobic capacity independent

282 whole-body fat oxidation during exercise in race walkers over a range of exercise intensities.

283 controlled three isoenergetic diets in elite race walkers: high CHO availability (g kg(-1) day(-1) :

284 LCHF also increased the oxygen (O2 ) cost of race walking at velocities relevant to real-life race pe

285 Post-intervention, VO2 peak during race walking increased in all groups (P < 0.001, 90% CI:

286 Race was associated with a significant difference in the

287 c hepatitis C virus infection, whereas Asian race was associated with higher SVR rates compared to wh

288 nd severe) among women of similar age and/or race was much higher.

289 However, among uninsured patients, black race was not associated with lower use of MIS (OR 0.96,

290 The impact of race was tested using a race interaction term.

291 Using 3' rapid amplification of cDNA ends (RACE), we mapped the 3' end of the N and NSs mRNAs, show

292 Using 3'RACE, we confirmed expression of two distinct forms of t

293 nal projections of core demographic rates by race, we examine two definitions of kinlessness: those w

294 Female sex and black race were associated with higher and lower odds of survi

295 nsion, body mass index, and African-American race were independently associated with >/=1 of baseline

296 940 or later) and adjusted for age, sex, and race, were used to estimate hazard ratios (HRs) for the

297 e another into social categories (e.g., sex, race), which have important consequences for a variety o

298 those patients, along with their respective races, who had an "Adult Comfort Care" order set placed

299 treated hypertension (HTN) by age, sex, and race within the North American AIDS Cohort Collaboration

300 near correction was associated with nonwhite race, younger age, male sex, and lack of access to healt