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991.
Zintzaras E 《Psychiatric genetics》2007,17(2):69-75
OBJECTIVES: To evaluate whether the G196A and C270T polymorphisms of the brain-derived neurotrophic factor gene are associated with increased risk of schizophrenia. METHODS: A meta-analysis of nine genetic association studies was carried out. The meta-analysis included genotype data on 1404/1597 schizophrenics/controls for G196A and 877/989 schizophrenics/controls for C270T. RESULTS: The overall analysis for investigating the association of the G196A allele G and the risk of developing schizophrenia relative to the allele A, showed significant evidence of heterogeneity (P=0.05, I(2)=58%) between the studies and nonsignificant association [random effects odds ratio 1.08 and 95% confidence interval (0.88-1.32)]. In Caucasians, there was a trend towards heterogeneity (P=0.19, I(2)=40%), then, the random and fixed effects odds ratios were 1.24 (0.96-1.60) and 1.27 (1.06-1.53), respectively. For the C270T polymorphism, overall, there was significant evidence of heterogeneity between studies (P=0.07, I(2)=55%) and the allele T was associated with a 63% increased risk of schizophrenia compared with C allele [random effects odds ratio 1.63 (1.01-2.65)]. The dominant model for allele T produced significant association [random effects odds ratio 1.68 (1.02-2.79)]. No source of bias was seen in the selected studies and the differential magnitude of effect in large versus small studies was not significant. CONCLUSIONS: The meta-analysis results provided a weak evidence of association between C270T polymorphism and schizophrenia, and large heterogeneity between studies, whereas there was no evidence of association for G196A polymorphism. The above findings reinforce the need for large and more rigorous association studies. 相似文献
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993.
Elias SM Hashim Z Marjan ZM Abdullah AS Hashim JH 《Asia-Pacific journal of public health / Asia-Pacific Academic Consortium for Public Health》2007,19(3):29-37
A cross-sectional study was conducted to identify the relationship between blood lead concentration and nutritional status among primary school children in Kuala Lumpur. A total of 225 Malay students, 113 male and 112 female, aged 6.3 to 9.8 were selected through a stratified random sampling method. The random blood samples were collected and blood lead concentration was measured by a Graphite Furnace Atomic Absorption Spectrophotometer. The nutrient intake was determined by the 24-hour Dietary Recall method and Food Frequency Questionnaire. An anthropometric assessment was reported according to growth indices (z-scores of weight-for-age, height-for-age, and weight-for-height). The mean blood lead concentration was low (3.4 +/- 1.91 ug/dL) and was significantly different between gender. Only 14.7% of the respondents fulfilled the daily energy requirement. The protein and iron intakes were adequate for a majority of the children. However, 34.7% of the total children showed inadequate intake of calcium. The energy, protein, fat and carbohydrate intakes were significantly different by gender, that is, males had better intake than females. Majority of respondents had normal mean z-score of growth indices. Ten percent of the respondents were underweight, 2.8% wasted and 5.4% stunted. Multiple linear regression showed inverse significant relationships between blood lead concentration with children's age (beta = -0.647, p < 0.001) and per capita income (beta = -0.001, p = 0.018). There were inverse significant relationships between blood lead concentration with children's age (beta = -0.877, p = 0.001) and calcium intake (beta = -0.011, p = 0.014) and positive significant relationship with weight-for-height (beta = 0.326, p = 0.041) among those with inadequate calcium intake. Among children with inadequate energy intake, children's age (beta = -0.621, p < 0.001), per capita income (beta = -0.001, p = 0.025) and protein intake (beta = -0.019, p = 0.027) were inversely and significantly related with blood lead concentration. In conclusion, nutritional status might affect the children's absorption of lead and further investigation is required for confirmation. 相似文献
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996.
Koji Sasaki MD PhD Hagop M. Kantarjian MD Kiyomi Morita MD PhD Nicholas J. Short MD Marina Konopleva MD PhD Nitin Jain MD Farhad Ravandi MD Guillermo Garcia-Manero MD Sa Wang MD Joseph D. Khoury MD Jeffrey L. Jorgensen MD PhD Richard E. Champlin MD Issa F. Khouri MD Partow Kebriaei MD Heather M. Schroeder RN Maria Khouri Rebecca Garris MS Koichi Takahashi MD PhD Susan M. O’Brien MD Elias J. Jabbour MD 《Cancer》2021,127(18):3381-3389
997.
Guillermo Montalban-Bravo MD Rashmi Kanagal-Shamanna MD Koji Sasaki MD PhD Lucia Masarova MD Kiran Naqvi MD Elias Jabbour MD Courtney D. DiNardo MD Koichi Takahashi MD PhD Marina Konopleva MD PhD Naveen Pemmaraju MD Tapan M. Kadia MD Farhad Ravandi MD Naval Daver MD Gautam Borthakur MBBS Zeev Estrov MD Joseph D. Khoury MD Sanam Loghavi MD Kelly A. Soltysiak PhD Sherry Pierce RN Carlos Bueso-Ramos MD PhD Keyur P. Patel MD PhD Srdan Verstovsek MD Hagop M. Kantarjian MD Prithviraj Bose MD Guillermo Garcia-Manero MD 《Cancer》2021,127(17):3113-3124
998.
Iman Abou Dalle MD Hagop M. Kantarjian MD Farhad Ravandi MD Naval Daver MD Xuemei Wang MS Elias Jabbour MD Zeev Estrov MD Courtney D. DiNardo MD Naveen Pemmaraju MD Alessandra Ferrajoli MD Nitin Jain MBBS Sa A. Wang MD Nadya Jammal PharmD Gautam Borthakur MD Kiran Naqvi MD Sarah Pelletier RN Sherry Pierce RN BS Michael Andreeff MD Guillermo Garcia-Manero MD Jorge E. Cortes MD Tapan M. Kadia MD 《Cancer》2021,127(11):1894-1900
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1000.
Rashmi Kanagal-Shamanna MD Guillermo Montalban-Bravo MD Koji Sasaki MD PhD Faezeh Darbaniyan PhD Elias Jabbour MD Carlos Bueso-Ramos MD Yue Wei PhD Kelly Chien MD Tapan Kadia MD Farhad Ravandi MD Gautam Borthakur MD Kelly A. Soltysiak PhD Mark Routbort MD Keyur Patel MD Sherry Pierce RN L. Jeffrey Medeiros MD Hagop M. Kantarjian MD Guillermo Garcia-Manero MD 《Cancer》2021,127(19):3552-3565