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Lee WK, Lee HA, Hwang SS, Kim H, Lim YH, Hong YC, Ha EH, Park H. Does Temperature Modify the Effects of Rain and Snow Precipitation on Road Traffic Injuries? J Epidemiol 2015; 25:544-52. [PMID: 26073021 PMCID: PMC4517993 DOI: 10.2188/jea.je20140244] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND There are few data on the interaction between temperature and snow and rain precipitation, although they could interact in their effects on road traffic injuries. METHODS The integrated database of the Korea Road Traffic Authority was used to calculate the daily frequency of road traffic injuries in Seoul. Weather data included rain and snow precipitation, temperature, pressure, and fog from May 2007 to December 2011. Precipitation of rain and snow were divided into nine and six temperature range categories, respectively. The interactive effects of temperature and rain and snow precipitation on road traffic injuries were analyzed using a generalized additive model with a Poisson distribution. RESULTS The risk of road traffic injuries during snow increased when the temperature was below freezing. Road traffic injuries increased by 6.6% when it was snowing and above 0 °C, whereas they increased by 15% when it was snowing and at or below 0 °C. In terms of heavy rain precipitation, moderate temperatures were related to an increased prevalence of injuries. When the temperature was 0-20 °C, we found a 12% increase in road traffic injuries, whereas it increased by 8.5% and 6.8% when it was <0 °C and >20 °C, respectively. The interactive effect was consistent across the traffic accident subtypes. CONCLUSIONS The effect of adverse weather conditions on road traffic injuries differed depending on the temperature. More road traffic injuries were related to rain precipitation when the temperature was moderate and to snow when it was below freezing.
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Affiliation(s)
- Won-Kyung Lee
- Department of Social and Preventive Medicine, Inha University School of Medicine
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202
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Lee MR, Kim JH, Choi YH, Bae S, Park C, Hong YC. Association of bisphenol A exposure with overweight in the elderly: a panel study. Environ Sci Pollut Res Int 2015; 22:9370-9377. [PMID: 25874422 DOI: 10.1007/s11356-015-4087-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 01/07/2015] [Indexed: 06/04/2023]
Abstract
Bisphenol A (BPA) is an ubiquitous chemical, which is an endocrine disruptor. Recent epidemiological studies have suggested a relationship between BPA exposure and body weight. However, most of these studies were cross-sectional and not on elderly people. We conducted a panel study with repeated measurements to evaluate the relationship between BPA and overweight in elderly people. A total of 560 elderly participants aged ≥60 years were recruited in Seoul from 2008 to 2010. Urinary BPA levels and body mass index (BMI, kg/m(2)) were measured at every visit. We defined a BMI ≥25 as overweight and examined the relations between urinary BPA and BMI or overweight. Repeated measures analysis was performed after adjusting for age, sex, low-density lipoprotein cholesterol levels, alcohol consumption, regular exercise, total calorie intake, fatty acid intake, urinary cotinine levels, and the status of diabetes mellitus. The geometric mean of BPA was 0.67 μg/g creatinine. The odds ratio (OR) of overweight was 1.17 (95 % confidence interval [CI] 1.04-1.32) per interquartile range increase of log-transformed BPA. When stratified based on sex, we observed a significant association in women (OR 1.25; 95 % CI 1.09-1.45) but not in men (OR 0.97; 95 % CI 0.77-1.22). The ORs of overweight increased with quartiles of BPA in women (quartile 2 vs 1: OR 1.54; 95 % CI 1.02-2.32, 3 vs 1: OR 1.70; 95 % CI 1.10-2.62, and 4 vs 1: OR 1.81; 95 % CI 1.13-2.92). Our results suggest that urinary BPA levels are significantly associated with overweight in elderly women but not elderly men.
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Affiliation(s)
- Mee-Ri Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehakro, Jongrogu, Seoul, 110-799, Republic of Korea
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203
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Kwon JH, Kim E, Chang MH, Park EA, Hong YC, Ha M, Park H, Kim Y, Park C, Ha EH. Indoor total volatile organic compounds exposure at 6 months followed by atopic dermatitis at 3 years in children. Pediatr Allergy Immunol 2015; 26:352-8. [PMID: 25868723 DOI: 10.1111/pai.12393] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/31/2015] [Indexed: 01/10/2023]
Abstract
BACKGROUND Exposure to indoor air pollutants is thought to cause allergic inflammation. Volatile organic compounds (VOCs) are one of the aggravating factors of asthma and other allergic diseases. However, the influence of VOCs on development of atopic dermatitis is ambiguous in the clinical field. We therefore investigated the associations of indoor total volatile organic compounds (TVOCs) and development of atopic dermatitis in young Korean children. METHODS From the birth cohort of a MOthers and Children's Environmental Health (MOCEH) study, 257 infants, whose parents agreed with the environmental measurement, were enrolled. Total VOCs were measured in infant's bedrooms at the age of 6 month. A total of 105 parents answered a questionnaire at 36 month. Concentrations of TVOCs were divided into two groups by third quartile (75th). Associations between the high VOCs exposure group and development of atopic dermatitis at the age of 36 months were estimated by multivariate logistic regression. RESULTS The average concentration of TVOCs was 174.7 ± 115.1 ㎍/m(3) . We defined the high TVOCs exposure group by those with more than 75 percentile of the distribution (242.1 ㎍/m(3) ). An increased risk of atopic dermatitis was observed in the high TVOCs exposure group, after adjustment for parents history of allergy, household income, breast-feeding longer than 6 month (OR = 3.116, 95% Cl 1.041-9.323). Risk of atopic dermatitis was increased when the family bought new furniture within 1 yr. CONCLUSION Our results showed that exposure to high concentration of VOCs during infancy, an indoor pollutant, increased the risk of atopic dermatitis at 36 months.
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Affiliation(s)
- Jung Hyun Kwon
- Department of Pediatrics, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Eunjeong Kim
- Department of Preventive Medicine and Ewha Medical Research Institute, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Moon-Hee Chang
- Department of Preventive Medicine and Ewha Medical Research Institute, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Eun Ae Park
- Department of Pediatrics, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Mina Ha
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Korea
| | - Hyesook Park
- Department of Preventive Medicine and Ewha Medical Research Institute, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Choonghee Park
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, South Korea
| | - Eun-Hee Ha
- Department of Preventive Medicine and Ewha Medical Research Institute, School of Medicine, Ewha Womans University, Seoul, Korea
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204
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Kim KN, Lee H, Kim JH, Jung K, Lim YH, Hong YC. Physical Activity- and Alcohol-dependent Association Between Air Pollution Exposure and Elevated Liver Enzyme Levels: An Elderly Panel Study. J Prev Med Public Health 2015; 48:151-69. [PMID: 26081652 PMCID: PMC4484281 DOI: 10.3961/jpmph.15.014] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 04/30/2015] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES The deleterious effects of air pollution on various health outcomes have been demonstrated. However, few studies have examined the effects of air pollution on liver enzyme levels. METHODS Blood samples were drawn up to three times between 2008 and 2010 from 545 elderly individuals who regularly visited a community welfare center in Seoul, Korea. Data regarding ambient air pollutants (particulate matter ≤2.5 μm [PM2.5], nitrogen dioxide [NO2], ozone [O3], carbon monoxide, and sulfur dioxide) from monitoring stations were used to estimate air pollution exposure. The effects of the air pollutants on the concentrations of three liver enzymes (aspartate aminotransferase [AST], alanine aminotransferase [ALT], and γ-glutamyltranspeptidase [γ-GTP)]) were evaluated using generalized additive and linear mixed models. RESULTS Interquartile range increases in the concentrations of the pollutants showed significant associations of PM2.5 with AST (3.0% increase, p=0.0052), ALT (3.2% increase, p=0.0313), and γ-GTP (5.0% increase, p=0.0051) levels; NO2 with AST (3.5% increase, p=0.0060) and ALT (3.8% increase, p=0.0179) levels; and O3 with γ-GTP (5.3% increase, p=0.0324) levels. Significant modification of these effects by exercise and alcohol consumption was found (p for interaction <0.05). The effects of air pollutants were greater in non-exercisers and heavy drinkers. CONCLUSIONS Short-term exposure to air pollutants such as PM2.5, NO2, and O3 is associated with increased liver enzyme levels in the elderly. These adverse effects can be reduced by exercising regularly and abstinence from alcohol.
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Affiliation(s)
- Kyoung-Nam Kim
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Hyemi Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jin Hee Kim
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Kweon Jung
- Seoul Metropolitan Institute of Public Health and Environment, Seoul, Korea
| | - Youn-Hee Lim
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea ; Environmental Health Center, Seoul National University College of Medicine, Seoul, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea ; Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea ; Environmental Health Center, Seoul National University College of Medicine, Seoul, Korea
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205
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Kim B, Jung A, Yun D, Lee M, Lee MR, Choi YH, Kim Y, Park C, Hong YC, Kim S. Association of urinary 3-phenoxybenzoic acid levels with self-reported depression symptoms in a rural elderly population in Asan, South Korea. Environ Health Toxicol 2015; 30:e2015002. [PMID: 25997450 PMCID: PMC4441797 DOI: 10.5620/eht.e2015002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 04/02/2015] [Indexed: 06/01/2023]
Abstract
OBJECTIVES This study aimed to evaluate the association between presence of depression symptoms and the exposure level to insecticides among aged population in rural area, determined via measured levels of urinary 3-phenoxybenzoic acid (3-PBA), after controlling for socioeconomic confounding factors. METHODS Using a cross-sectional study design, we randomly recruited participants for our study (161 male and 239 female) from rural areas of Asan, Chungnam, Korea. Environmental risk factor exposure was assessed using a questionnaire, and gas chromatography- mass spectrometry was used to analyze urinary 3-PBA levels. We used a logistic regression analysis to assess the association of urinary 3-PBA levels with the presence of self-reported depression symptoms. RESULTS After controlling for creatinine levels, the median (interquartile range) concentration of 3-PBA was approximately 1.5 times (p<0.05) higher among female (1.54 [0.90 to 2.35]) μg/g) than among male (1.06 [0.64 to 1.81] μg/g). Our study found that among female participants, the unit increase in 3-PBA levels exhibited a likely positive association (odds ratio, 1.12; 95% confidence interval, 1.00 to 1.25) with an increased risk of presence of self-reported depression symptoms, after adjusting for socioeconomic insurance type, daily physical condition, marital status, smoking status, and age. CONCLUSIONS Given our finding of a potential association between the presence of selfreported depression symptoms and 3-PBA levels, precautions should be considered to minimize exposure to insecticides and thus protect the health of aged residents in rural areas.
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Affiliation(s)
- Bokyeong Kim
- Department of Environmental Health Sciences, Soonchunhyang University, Asan, Korea
| | - Ara Jung
- Department of Environmental Health Sciences, Soonchunhyang University, Asan, Korea
| | - Dongmin Yun
- Department of Environmental Health Sciences, Soonchunhyang University, Asan, Korea
| | - Mira Lee
- Department of Environmental Health Sciences, Soonchunhyang University, Asan, Korea
| | - Mee-Ri Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yoon-Hyeong Choi
- Department of Preventive Medicine, Gacheon University College of Medicine, Incheon, Korea
| | - Yongbae Kim
- Department of Preventive Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Choonghee Park
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, Korea
| | - Yun-Chul Hong
- Environmental Health Center, Seoul National University College of Medicine, Seoul, Korea
| | - Sungroul Kim
- Department of Environmental Health Sciences, Soonchunhyang University, Asan, Korea
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206
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Jeong KS, Park H, Ha E, Hong YC, Ha M, Park H, Kim BN, Lee BE, Lee SJ, Lee KY, Kim JH, Kim Y. Performance IQ in children is associated with blood cadmium concentration in early pregnancy. J Trace Elem Med Biol 2015; 30:107-11. [PMID: 25511909 DOI: 10.1016/j.jtemb.2014.11.007] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Revised: 10/31/2014] [Accepted: 11/19/2014] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To investigate whether performance IQ in children is associated with maternal blood cadmium concentration in early pregnancy. METHOD The present study is a component of the Mothers' and Children's Environmental Health (MOCEH) study, a multi-center birth cohort project in Korea that began in 2006. The study cohort consisted of 119 children whose mothers underwent testing of blood cadmium during early pregnancy. All children were evaluated using the Korean version of the Wechsler Preschool and Primary Scale of Intelligence, revised edition (WPPSI-R), at 60 months of age. Multivariate linear regression analysis was performed to analyze the correlation between IQ in children and maternal blood cadmium concentration in early pregnancy, after adjustment for covariates. RESULTS Maternal blood cadmium concentration during early pregnancy was inversely associated with performance IQ, after adjustment for covariates such as sex, educational levels of both parents, family income, and maternal BMI. Maternal blood cadmium concentration, however, was not associated with cognitive IQ. CONCLUSION Performance IQ in children is associated with maternal blood cadmium concentration in early pregnancy.
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Affiliation(s)
- Kyoung Sook Jeong
- Department of Occupational and Environmental Medicine, Dongguk University College of Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Hyewon Park
- Dept of Child and Family Welfare, University of Ulsan, Ulsan, Republic of Korea
| | - Eunhee Ha
- Department of Preventive Medicine, Ewha Medical Research Center, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Institute of Environmental Medicine, Medical Research Center, Seoul National University, Seoul, Republic of Korea
| | - Mina Ha
- Department of Preventive Medicine, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | - Hyesook Park
- Department of Preventive Medicine, Ewha Medical Research Center, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Bung-Nyun Kim
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Bo-Eun Lee
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Soo-Jeong Lee
- Department of Obstetrics and Gynecology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Kyung Yeon Lee
- Department of Pediatrics, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Ja Hyeong Kim
- Department of Pediatrics, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
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207
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Kim E, Park H, Hong YC, Ha M, Kim Y, Lee BE, Ha EH. Effect of maternal job strain during pregnancy on infant neurodevelopment by gender at 6 and 12 months: Mothers and Children's Environmental Health (MOCEH) study. Ann Occup Environ Med 2015; 27:8. [PMID: 25866667 PMCID: PMC4392800 DOI: 10.1186/s40557-015-0059-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Accepted: 02/25/2015] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVES Limited evidence is available regarding the association between prenatal job strain and infant neurodevelopment. Most studies used stress indicators other than job strain to explain the relationship between prenatal maternal stress and child development. The objective of this study was to investigate the association between maternal job strain during pregnancy and neurodevelopment in infancy. METHODS Mothers and Children's Environmental Health (MOCEH) study, an on-going prospective birth cohort study, has been conducted in South Korea since 2006. Job strain during pregnancy was measured using Korean version of Job Content Questionnaire (JCQ). Infant neurodevelopment was assessed using Korean Bayley Scale of Infant Development II (K-BSID-II) at 6 and 12 months of age. A total of 343 mother-child pairs that completed JCQ and K-BSID-II more than once were included. Mental Developmental Index (MDI) and Psychomotor Developmental Index (PDI) defined in the K-BSID-II were used as outcome variables. RESULTS Compared to infants from mothers with low job strain, significant (p < 0.05) decreases in PDI were found in infants from mothers with active and passive job at 6 months of age. After stratification by infant sex, boys in the high strain group had a lower MDI score than boys in the low job strain group at 12 months. On the other hand, girls in the high strain and active groups had higher MDI scores than girls in the low job strain group at 12 months. PDI at 12 months also showed different results by sex. Boys in the high strain and passive job groups had lower PDI scores than boys in the low job strain group. However, such difference was not observed in girls. CONCLUSIONS The findings of this study suggest that prenatal job strain affects infant neurodevelopment in a gender-dependent manner.
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Affiliation(s)
- Eunjeong Kim
- Department of Preventive Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
| | - HyeSook Park
- Department of Preventive Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, College of Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Mina Ha
- Department of Preventive Medicine, College of Medicine, Dankook University, Cheonan, South Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, South Korea
| | - Bo-Eun Lee
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, South Korea
| | - Eun-Hee Ha
- Department of Preventive Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
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208
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Machiela MJ, Zhou W, Sampson JN, Dean MC, Jacobs KB, Black A, Brinton LA, Chang IS, Chen C, Chen C, Chen K, Cook LS, Crous Bou M, De Vivo I, Doherty J, Friedenreich CM, Gaudet MM, Haiman CA, Hankinson SE, Hartge P, Henderson BE, Hong YC, Hosgood HD, Hsiung CA, Hu W, Hunter DJ, Jessop L, Kim HN, Kim YH, Kim YT, Klein R, Kraft P, Lan Q, Lin D, Liu J, Le Marchand L, Liang X, Lissowska J, Lu L, Magliocco AM, Matsuo K, Olson SH, Orlow I, Park JY, Pooler L, Prescott J, Rastogi R, Risch HA, Schumacher F, Seow A, Setiawan VW, Shen H, Sheng X, Shin MH, Shu XO, VanDen Berg D, Wang JC, Wentzensen N, Wong MP, Wu C, Wu T, Wu YL, Xia L, Yang HP, Yang PC, Zheng W, Zhou B, Abnet CC, Albanes D, Aldrich MC, Amos C, Amundadottir LT, Berndt SI, Blot WJ, Bock CH, Bracci PM, Burdett L, Buring JE, Butler MA, Carreón T, Chatterjee N, Chung CC, Cook MB, Cullen M, Davis FG, Ding T, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Freedman ND, Fuchs CS, Gao YT, Gapstur SM, Patiño-Garcia A, Garcia-Closas M, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Greene MH, Hallmans G, Harris CC, Henriksson R, Holly EA, Hoover RN, Hu N, Hutchinson A, Jenab M, Johansen C, Khaw KT, Koh WP, Kolonel LN, Kooperberg C, Krogh V, Kurtz RC, LaCroix A, Landgren A, Landi MT, Li D, Liao LM, Malats N, McGlynn KA, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Peplonska B, Peters U, Petersen GM, Prokunina-Olsson L, Purdue M, Qiao YL, Rabe KG, Rajaraman P, Real FX, Riboli E, Rodríguez-Santiago B, Rothman N, Ruder AM, Savage SA, Schwartz AG, Schwartz KL, Sesso HD, Severi G, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Viswanathan K, Wacholder S, Wang Z, Weinstein SJ, Wheeler W, White E, Wiencke JK, Wolpin BM, Wu X, Wunder JS, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Ziegler RG, de Andrade M, Barnes KC, Beaty TH, Bierut LJ, Desch KC, Doheny KF, Feenstra B, Ginsburg D, Heit JA, Kang JH, Laurie CA, Li JZ, Lowe WL, Marazita ML, Melbye M, Mirel DB, Murray JC, Nelson SC, Pasquale LR, Rice K, Wiggs JL, Wise A, Tucker M, Pérez-Jurado LA, Laurie CC, Caporaso NE, Yeager M, Chanock SJ. Characterization of large structural genetic mosaicism in human autosomes. Am J Hum Genet 2015; 96:487-97. [PMID: 25748358 PMCID: PMC4375431 DOI: 10.1016/j.ajhg.2015.01.011] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Accepted: 01/12/2015] [Indexed: 01/30/2023] Open
Abstract
Analyses of genome-wide association study (GWAS) data have revealed that detectable genetic mosaicism involving large (>2 Mb) structural autosomal alterations occurs in a fraction of individuals. We present results for a set of 24,849 genotyped individuals (total GWAS set II [TGSII]) in whom 341 large autosomal abnormalities were observed in 168 (0.68%) individuals. Merging data from the new TGSII set with data from two prior reports (the Gene-Environment Association Studies and the total GWAS set I) generated a large dataset of 127,179 individuals; we then conducted a meta-analysis to investigate the patterns of detectable autosomal mosaicism (n = 1,315 events in 925 [0.73%] individuals). Restricting to events >2 Mb in size, we observed an increase in event frequency as event size decreased. The combined results underscore that the rate of detectable mosaicism increases with age (p value = 5.5 × 10(-31)) and is higher in men (p value = 0.002) but lower in participants of African ancestry (p value = 0.003). In a subset of 47 individuals from whom serial samples were collected up to 6 years apart, complex changes were noted over time and showed an overall increase in the proportion of mosaic cells as age increased. Our large combined sample allowed for a unique ability to characterize detectable genetic mosaicism involving large structural events and strengthens the emerging evidence of non-random erosion of the genome in the aging population.
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Affiliation(s)
- Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Michael C Dean
- Laboratory of Experimental Immunology, Center for Cancer Research, National Cancer Institute at Frederick, NIH, Frederick, MD 21702, USA
| | - Kevin B Jacobs
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA; BioInformed LLC, Gaithersburg, MD 20877, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan 35053, Taiwan, ROC
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Constance Chen
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300040, People's Republic of China
| | - Linda S Cook
- University of New Mexico, Albuquerque, NM 87131, USA
| | - Marta Crous Bou
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer Doherty
- Geisel School of Medicine, Dartmouth College, Lebanon, NH 03755, USA
| | - Christine M Friedenreich
- Department of Population Health Research, CancerControl Alberta, Alberta Health Services, Calgary, AB T2N 2T9, Canada
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul 151-742, Republic of Korea
| | - H Dean Hosgood
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Chao A Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan, ROC
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Lea Jessop
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Hee Nam Kim
- Center for Creative Biomedical Scientists, Chonnam National University, Gwangju 500-757, Republic of Korea
| | - Yeul Hong Kim
- Division of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, Seoul 151-742, Republic of Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, College of Medicine, Seoul National University, Seoul 151-742, Republic of Korea
| | - Robert Klein
- Program in Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China; State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore; School of Life Sciences, Anhui Medical University, Hefei 230032, People's Republic of China
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Lingeng Lu
- Yale School of Public Health, New Haven, CT 06510, USA
| | | | - Keitaro Matsuo
- Department of Preventive Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka 819-0395, Japan
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu 101, Republic of Korea
| | - Loreall Pooler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Jennifer Prescott
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Radhai Rastogi
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Fredrick Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Hongbing Shen
- Jiangsu Key Laboratory of Cancer Biomarkers, Prevention, and Treatment, Nanjing Medical University, Nanjing 210029, People's Republic of China; Ministry of Education Key Laboratory of Modern Toxicology, Nanjing Medical University, Nanjing 210029, People's Republic of China
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwanju 501-746, Republic of Korea
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - David VanDen Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jiu-Cun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, People's Republic of China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, People's Republic of China
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Maria Pik Wong
- Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Chen Wu
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China; State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Laboratory for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan 430400, People's Republic of China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou 515200, People's Republic of China
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Pan-Chyr Yang
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei 10617, Taiwan, ROC
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, People's Republic of China
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Melinda C Aldrich
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Thoracic Surgery, School of Medicine, Vanderbilt University, Nashville, TN 37232, USA
| | - Christopher Amos
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA; International Epidemiology Institute, Rockville, MD 20850, USA
| | - Cathryn H Bock
- Karmanos Cancer Institute and Department of Oncology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Mary A Butler
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Tania Carreón
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Michael Cullen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Faith G Davis
- Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Ti Ding
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, People's Republic of China
| | - Eric J Duell
- Unit of Nutrition, Environment, and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute,, Barcelona 08908, Spain
| | - Caroline G Epstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Jin-Hu Fan
- Shanghai Cancer Institute, Shanghai 200032, People's Republic of China
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Charles S Fuchs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiaotaong University Shanghai 200032, People's Republic of China
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Ana Patiño-Garcia
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, Pamplona 31080, Spain
| | - Montserrat Garcia-Closas
- Division of Genetics and Epidemiology and Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, Surrey SM2 5NG, UK
| | - J Michael Gaziano
- Divisions of Preventive Medicine and Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Massachusetts Veterans Epidemiology Research and Information Center and Cooperative Studies Programs, Veterans Affairs Boston Healthcare System, Boston, MA 02130, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Elizabeth M Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Lynn Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mark H Greene
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Goran Hallmans
- Nutritional Research Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå 901 87, Sweden
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Roger Henriksson
- Department of Oncology, Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon 69372, France
| | - Christoffer Johansen
- Department of Oncology, Finsen Centre, Rigshospitalet, Copenhagen 2100, Denmark; Unit of Survivorship Research, Danish Cancer Society Research Centre, Copenhagen 2100, Denmark
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge CB2 1TN, UK
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore; Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano 20133, Italy
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Andrea LaCroix
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Annelie Landgren
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Nuria Malats
- Spanish National Cancer Research Centre, Madrid 28029, Spain
| | - Katherine A McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Lorna H McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Community-Engaged Translational Research, Duncan Family Institute, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Beatrice S Melin
- Department of Oncology, Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Beata Peplonska
- Nofer Institute of Occupational Medicine, Lodz 91-348, Poland
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - You-Lin Qiao
- Department of Epidemiology, Cancer Institute, Chinese Academy of Medical Sciences, Beijing 100730, People's Republic of China
| | - Kari G Rabe
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Francisco X Real
- Spanish National Cancer Research Centre, Madrid 28029, Spain; Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Elio Riboli
- Division of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Benjamín Rodríguez-Santiago
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras, Barcelona 08003, Spain; Quantitative Genomic Medicine Laboratory, qGenomics, Barcelona 08003, Spain
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Avima M Ruder
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Ann G Schwartz
- Karmanos Cancer Institute and Department of Oncology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Kendra L Schwartz
- Karmanos Cancer Institute and Department of Family Medicine and Public Health Sciences, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Howard D Sesso
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Human Genetics Foundation, Torino 10126, Italy
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | | | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | | | - Daniel Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ze-Zhong Tang
- Shanxi Cancer Hospital, Taiyuan, Shanxi 030013, People's Republic of China
| | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Geoffrey S Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Kala Viswanathan
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Sholom Wacholder
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - William Wheeler
- Information Management Services Inc., Calverton, MD 20904, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - John K Wiencke
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Brian M Wolpin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jay S Wunder
- Division of Urologic Surgery, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Krista A Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, School of Medicine, New York University, New York, NY 10016, USA; Perlmutter Cancer Institute, New York University, New York, NY 10016, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Kathleen C Barnes
- School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Laura J Bierut
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Karl C Desch
- Department of Pediatrics and Communicable Diseases, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research, Institute of Genetic Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - David Ginsburg
- Howard Hughes Medical Institute and Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - John A Heit
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Jae H Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Cecilia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - William L Lowe
- Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60208, USA
| | - Mary L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Daniel B Mirel
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Louis R Pasquale
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard University, Boston, MA 02114, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard University, Boston, MA 02114, USA
| | - Anastasia Wise
- Office of Population Genomics, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Luis A Pérez-Jurado
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras, Barcelona 08003, Spain; Hospital del Mar Research Institute, Barcelona 08003, Spain
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Leidos Biomedical Research Inc., Bethesda, MD 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
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Abstract
UNLABELLED The role of genetic polymorphisms of NAD(P)H quinone oxidoreductase 1 (NQO1), which is known to be related to carcinogen metabolism and oxidative status, was evaluated for lung cancer development. The genotypes of two NQO1 polymorphisms, namely, IVS1-27C>G and Ex6+40C>T, were determined in 616 lung cancer cases and 616 lung cancer-free controls and haplotypes composed of the two polymorphisms were estimated. In the evaluation of the effect of the NQO1 genotypes or diplotypes, we did not find any significant association with lung cancer risk after adjusting for body mass index and smoking status. However, when we evaluated the effect of the NQO1 diplotypes for lung cancer risk in combination with smoking, smokers without the C-T/C-T diplotype showed a significantly increased risk of lung cancer compared with nonsmokers without the C-T/C-T diplotype (adjusted OR, 2.2; 95% CI, 1.67-3.02), and smokers with the C-T/C-T diplotype showed the highest OR of lung cancer (adjusted OR, 2.7; 95% CI, 1.78-4.21). Moreover, a trend test showed an additive interaction between smoking and the NQO1 C-T/C-T diplotype (P trend < 0.01). The additive effect of smoking and the NQO1 C-T/C-T diplotype was more apparent in squamous cell carcinoma, although this effect was statistically significant in all lung cancer cell types (all cell types, P trend < 0.05). This result suggests that haplotypes of the NQO1 gene play an important role in the development of lung cancer by interaction with smoking.
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Affiliation(s)
- Jin Hee Kim
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea
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Hosgood HD, Song M, Hsiung CA, Yin Z, Shu XO, Wang Z, Chatterjee N, Zheng W, Caporaso N, Burdette L, Yeager M, Berndt SI, Landi MT, Chen CJ, Chang GC, Hsiao CF, Tsai YH, Chien LH, Chen KY, Huang MS, Su WC, Chen YM, Chen CH, Yang TY, Wang CL, Hung JY, Lin CC, Perng RP, Chen CY, Chen KC, Li YJ, Yu CJ, Chen YS, Chen YH, Tsai FY, Kim C, Seow WJ, Bassig BA, Wu W, Guan P, He Q, Gao YT, Cai Q, Chow WH, Xiang YB, Lin D, Wu C, Wu YL, Shin MH, Hong YC, Matsuo K, Chen K, Wong MP, Lu D, Jin L, Wang JC, Seow A, Wu T, Shen H, Fraumeni JF, Yang PC, Chang IS, Zhou B, Chanock SJ, Rothman N, Lan Q. Interactions between household air pollution and GWAS-identified lung cancer susceptibility markers in the Female Lung Cancer Consortium in Asia (FLCCA). Hum Genet 2015; 134:333-41. [PMID: 25566987 PMCID: PMC5537621 DOI: 10.1007/s00439-014-1528-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 12/29/2014] [Indexed: 10/24/2022]
Abstract
We previously carried out a multi-stage genome-wide association study (GWAS) on lung cancer among never smokers in the Female Lung Cancer Consortium in Asia (FLCCA) (6,609 cases, 7,457 controls) that identified novel susceptibility loci at 10q25.2, 6q22.2, and 6p21.32, and confirmed two previously identified loci at 5p15.33 and 3q28. Household air pollution (HAP) attributed to solid fuel burning for heating and cooking, is the leading cause of the overall disease burden in Southeast Asia, and is known to contain lung carcinogens. To evaluate the gene-HAP interactions associated with lung cancer in loci independent of smoking, we analyzed data from studies participating in FLCCA with fuel use information available (n = 3; 1,731 cases; 1,349 controls). Coal use was associated with a 30% increased risk of lung cancer (OR 1.3, 95% CI 1.0-1.6). Among the five a priori SNPs identified by our GWAS, two showed a significant interaction with coal use (HLA Class II rs2395185, p = 0.02; TP63 rs4488809 (rs4600802), p = 0.04). The risk of lung cancer associated with coal exposure varied with the respective alleles for these two SNPs. Our observations provide evidence that genetic variation in HLA Class II and TP63 may modify the association between HAP and lung cancer risk. The roles played in the cell cycle and inflammation pathways by the proteins encoded by these two genes provide biological plausibility for these interactions; however, additional replication studies are needed in other non-smoking populations.
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Affiliation(s)
- H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Ave. Belfer 1309, 10461, Bronx, NY, USA,
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211
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Hong SB, Im MH, Kim JW, Park EJ, Shin MS, Kim BN, Yoo HJ, Cho IH, Bhang SY, Hong YC, Cho SC. Environmental lead exposure and attention deficit/hyperactivity disorder symptom domains in a community sample of South Korean school-age children. Environ Health Perspect 2015; 123:271-6. [PMID: 25280233 PMCID: PMC4348739 DOI: 10.1289/ehp.1307420] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2013] [Accepted: 10/01/2014] [Indexed: 05/25/2023]
Abstract
BACKGROUND Low-level environmental exposure to lead has been associated with both reduced intelligence and symptoms of attention deficit/hyperactivity disorder (ADHD). However, few studies have estimated the association of lead and intelligence independent of ADHD, and it is not clear from previous studies whether lead is associated with both inattention and impulsivity ADHD symptoms. OBJECTIVES We estimated mutually adjusted associations of environmental lead exposure with both intelligence and ADHD symptoms, and associations between lead and specific ADHD-related domains. METHODS Blood lead concentrations were measured in a general population of 1,001 children 8-11 years of age. We used multivariable linear regression models to estimate associations of blood lead concentrations with IQ scores, teacher and parent ratings of ADHD symptoms, and measures of inattention and impulsivity. Models were adjusted for demographic variables and other environmental exposures (blood levels of mercury and manganese, urinary concentrations of cotinine, phthalate metabolites, and bisphenol A). RESULTS Associations of blood lead with lower IQ and higher impulsivity were robust to adjustment for a variety of covariates. When adjusted for demographic characteristics, other environmental exposures, and ADHD symptoms or IQ, a 10-fold increase in blood lead concentration was associated with lower Full-Scale IQ (-7.23; 95% CI: -13.39, -1.07) and higher parent- and teacher-rated hyperactivity/impulsivity scores (ADHD Rating Scale, 1.99; 95% CI: 0.17, 3.81 and 3.66; 95% CI: 1.18, 6.13, respectively) and commission errors (Continuous Performance Test, 12.27; 95% CI: -0.08, 24.62). Blood lead was not significantly associated with inattention in adjusted models. CONCLUSIONS Low-level lead exposure was adversely associated with intelligence in school-age children independent of ADHD, and environmental lead exposure was selectively associated with impulsivity among the clinical features of ADHD.
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Affiliation(s)
- Soon-Beom Hong
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
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212
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Abstract
Bisphenol A (BPA) is a chemical used in plastic bottles and inner coating of beverage cans, and its exposure is almost ubiquitous. BPA has been associated with hypertension and decreased heart rate variability in the previous studies. The aim of the present study was to determine whether increased BPA exposure from consumption of canned beverage actually affects blood pressure and heart rate variability. We conducted a randomized crossover trial with noninstitutionalized adults, who were aged ≥60 years and recruited from a local community center. A total of 60 participants visited the study site 3 times, and they were provided the same beverage in 2 glass bottles, 2 cans, or 1 can and 1 glass bottle at a time. The sequence of the beverage was randomized. We then measured urinary BPA concentration, blood pressure, and heart rate variability 2 hours after the consumption of each beverage. The paired
t
test and mixed model were used to compare the differences. The urinary BPA concentration increased after consuming canned beverages by >1600% compared with that after consuming glass bottled beverages. Systolic blood pressure adjusted for daily variance increased by ≈4.5 mm Hg after consuming 2 canned beverages compared with that after consuming 2 glass bottled beverages, and the difference was statistically significant. The parameters of the heart rate variability did not show statistically significant differences.The present study demonstrated that consuming canned beverage and consequent increase of BPA exposure increase blood pressure acutely.
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Affiliation(s)
- Sanghyuk Bae
- From the Department of Preventive Medicine and Environmental Health Center, College of Medicine (S.B., Y.-C.H.), and Institute of Environmental Medicine, Medical Research Center (Y.-C.H.), Seoul National University, Jongrogu, Seoul, Republic of Korea
| | - Yun-Chul Hong
- From the Department of Preventive Medicine and Environmental Health Center, College of Medicine (S.B., Y.-C.H.), and Institute of Environmental Medicine, Medical Research Center (Y.-C.H.), Seoul National University, Jongrogu, Seoul, Republic of Korea
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213
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Kim JH, Jeong KS, Ha EH, Park H, Ha M, Hong YC, Bhang SY, Lee SJ, Lee KY, Lee SH, Kim Y, Kim MH, Chang N. Relationship between prenatal and postnatal exposures to folate and risks of allergic and respiratory diseases in early childhood. Pediatr Pulmonol 2015; 50:155-63. [PMID: 24616290 DOI: 10.1002/ppul.23025] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2013] [Revised: 02/02/2014] [Accepted: 02/09/2014] [Indexed: 11/06/2022]
Abstract
BACKGROUND It is uncertain whether folate is risk or preventive factor for allergic and respiratory diseases. OBJECTIVE To determine the relationship between maternal or offspring folate status and subsequent development of allergic and respiratory diseases in early childhood. METHODS In total, 917 mother-child pairs from a prospective birth cohort in South Korea were studied. Data regarding the children's allergic and respiratory outcomes were obtained from standardized questionnaires completed by the mothers at postnatal months 6, 12, and 24. Serum folate levels were measured in the mothers at mid- and late-pregnancy, and in their children at 24 months of age. Atopic biomarkers were measured in the cord blood (CB) and at 24 months after birth. Biomarkers and clinical outcomes were analyzed and compared between the mother-child pairs divided into two groups according to median serum folate status at mid- and late-pregnancy. RESULTS Serum folate levels during mid-pregnancy were inversely associated with CB eosinophil count (adjusted odds ratio [OR] 0.72, 95% confidence interval [CI], 0.54-0.96) and positively associated with CB interleukin-10 levels (1.47, 1.11-1.94). Maternal folate level above the median value (≥9.5 ng/ml) during mid-pregnancy was associated with a decreased risk for the child of lower respiratory tract infections (LRTIs) at 6 months of age (adjusted OR 0.50, 95% CI 0.28-0.91) and atopic dermatitis (AD) at 24 months (adjusted OR 0.52, 95% CI 0.31-0.88), but not with LRTIs and AD at other ages. CONCLUSIONS A relatively high maternal serum folate level in mid-pregnancy was associated with a decreased risk of LRTIs and AD in early childhood.
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Affiliation(s)
- Ja Hyeong Kim
- Department of Pediatrics, Ulsan University Hospital, University of Ulsan Collage of Medicine, Ulsan, Korea
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214
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Jeong KS, Park H, Ha E, Hong YC, Ha M, Park H, Kim BN, Lee SJ, Lee KY, Kim JH, Kim Y. Evidence that cognitive deficit in children is associated not only with iron deficiency, but also with blood lead concentration: a preliminary study. J Trace Elem Med Biol 2015; 29:336-41. [PMID: 25224739 DOI: 10.1016/j.jtemb.2014.08.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 08/11/2014] [Accepted: 08/25/2014] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To investigate whether blood lead concentrations are elevated in iron-deficient children, and to examine the association between iron deficiency and/or elevated blood lead concentration and cognitive deficits in children. METHOD The present study is a component of the Mothers' and Children's Environmental Health (MOCEH) study, a multi-center birth cohort project in Korea that began in 2006. The study cohort consisted of 194 children who underwent testing of blood lead and serum C-reactive proteins (CRPs) and ferritin concentrations, and the Korean version of the Wechsler Preschool and Primary Scale of Intelligence, revised edition (WPPSI-R), at 60 months of age. In addition, the mothers' blood lead concentrations during pregnancy were included in the analyses. Multivariate linear regression analysis was performed to analyze the correlation between high blood lead and low serum ferritin concentrations, after adjustment for covariates, in children, as well as to analyze the association of verbal IQ with serum ferritin and blood lead concentrations. RESULTS Lead and ferritin concentrations were inversely and significantly associated in children after adjustment for covariates. Moreover, both concentrations were associated with verbal IQ, after adjustment for covariates, and each was associated with cognitive deficits after adjustment for the other. Sobel test statistics showed that blood lead concentration was a significant partial mediator for the relationship between iron deficiency and verbal IQ. CONCLUSION Due to the results discussed in the present study, cognitive deficit in children seems to be associated not only with iron deficiency, but also with blood lead concentration.
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Affiliation(s)
- Kyoung Sook Jeong
- Department of Occupational and Environmental Medicine, Dongguk University College of Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Hyewon Park
- Department of Child and Family Welfare, University of Ulsan, Ulsan, Republic of Korea
| | - Eunhee Ha
- Department of Preventive Medicine, Ewha Medical Research Center, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Institute of Environmental Medicine, Medical Research Center, Seoul National University, Seoul, Republic of Korea
| | - Mina Ha
- Department of Preventive Medicine, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | - Hyesook Park
- Department of Preventive Medicine, Ewha Medical Research Center, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Bung-Nyun Kim
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Soo-Jeong Lee
- Department of Obstetrics and Gynecology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Kyung Yeon Lee
- Department of Pediatrics, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Ja Hyeong Kim
- Department of Pediatrics, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
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215
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Machiela MJ, Hsiung CA, Shu XO, Seow WJ, Wang Z, Matsuo K, Hong YC, Seow A, Wu C, Hosgood HD, Chen K, Wang JC, Wen W, Cawthon R, Chatterjee N, Hu W, Caporaso NE, Park JY, Chen CJ, Kim YH, Kim YT, Landi MT, Shen H, Lawrence C, Burdett L, Yeager M, Chang IS, Mitsudomi T, Kim HN, Chang GC, Bassig BA, Tucker M, Wei F, Yin Z, An SJ, Qian B, Lee VHF, Lu D, Liu J, Jeon HS, Hsiao CF, Sung JS, Kim JH, Gao YT, Tsai YH, Jung YJ, Guo H, Hu Z, Hutchinson A, Wang WC, Klein RJ, Chung CC, Oh IJ, Chen KY, Berndt SI, Wu W, Chang J, Zhang XC, Huang MS, Zheng H, Wang J, Zhao X, Li Y, Choi JE, Su WC, Park KH, Sung SW, Chen YM, Liu L, Kang CH, Hu L, Chen CH, Pao W, Kim YC, Yang TY, Xu J, Guan P, Tan W, Su J, Wang CL, Li H, Sihoe ADL, Zhao Z, Chen Y, Choi YY, Hung JY, Kim JS, Yoon HI, Cai Q, Lin CC, Park IK, Xu P, Dong J, Kim C, He Q, Perng RP, Kohno T, Kweon SS, Chen CY, Vermeulen RCH, Wu J, Lim WY, Chen KC, Chow WH, Ji BT, Chan JKC, Chu M, Li YJ, Yokota J, Li J, Chen H, Xiang YB, Yu CJ, Kunitoh H, Wu G, Jin L, Lo YL, Shiraishi K, Chen YH, Lin HC, Wu T, Wong MP, Wu YL, Yang PC, Zhou B, Shin MH, Fraumeni JF, Zheng W, Lin D, Chanock SJ, Rothman N, Lan Q. Genetic variants associated with longer telomere length are associated with increased lung cancer risk among never-smoking women in Asia: a report from the female lung cancer consortium in Asia. Int J Cancer 2014; 137:311-9. [PMID: 25516442 DOI: 10.1002/ijc.29393] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Accepted: 10/22/2014] [Indexed: 12/30/2022]
Abstract
Recent evidence from several relatively small nested case-control studies in prospective cohorts shows an association between longer telomere length measured phenotypically in peripheral white blood cell (WBC) DNA and increased lung cancer risk. We sought to further explore this relationship by examining a panel of seven telomere-length associated genetic variants in a large study of 5,457 never-smoking female Asian lung cancer cases and 4,493 never-smoking female Asian controls using data from a previously reported genome-wide association study. Using a group of 1,536 individuals with phenotypically measured telomere length in WBCs in the prospective Shanghai Women's Health study, we demonstrated the utility of a genetic risk score (GRS) of seven telomere-length associated variants to predict telomere length in an Asian population. We then found that GRSs used as instrumental variables to predict longer telomere length were associated with increased lung cancer risk (OR = 1.51 (95% CI = 1.34-1.69) for upper vs. lower quartile of the weighted GRS, p value = 4.54 × 10(-14) ) even after removing rs2736100 (p value = 4.81 × 10(-3) ), a SNP in the TERT locus robustly associated with lung cancer risk in prior association studies. Stratified analyses suggested the effect of the telomere-associated GRS is strongest among younger individuals. We found no difference in GRS effect between adenocarcinoma and squamous cell subtypes. Our results indicate that a genetic background that favors longer telomere length may increase lung cancer risk, which is consistent with earlier prospective studies relating longer telomere length with increased lung cancer risk.
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Affiliation(s)
- Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Wei Jie Seow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Keitaro Matsuo
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Republic of Singapore
| | - Chen Wu
- Department of Etiology and Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jiu-Cun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wanqing Wen
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Richard Cawthon
- Department of Human Genetics, University of Utah, Salt Lake City, UT
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | | | - Yeul Hong Kim
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Hongbing Shen
- Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, School of Public Health, Nanjing Medical University, Nanjing, China
| | | | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Tetsuya Mitsudomi
- Division of Thoracic Surgery, Kinki University School of Medicine, Sayama, Japan
| | - Hee Nam Kim
- Center for Creative Biomedical Scientists, Chonnam National University, Gwangju, Republic of Korea
| | - Gee-Chen Chang
- Department of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.,Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.,Division of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Fusheng Wei
- China National Environmental Monitoring Center, Beijing, China
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - She-Juan An
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Biyun Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University, Shanghai, China
| | - Victor Ho Fun Lee
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong, Kong, China
| | - Daru Lu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of Singapore, Republic of Singapore.,School of Life Sciences, Anhui Medical University, Hefei, China
| | - Hyo-Sung Jeon
- Molecular Diagnostics and Imaging Center, Kyungpook National University, Daegu, Republic of Korea
| | - Chin-Fu Hsiao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.,Taiwan Lung Cancer Tissue/Specimen Information Resource Center, National Health Research Institutes, Zhunan, Taiwan
| | - Jae Sook Sung
- Cancer Research Institute, Korea University, Seoul, Republic of Korea
| | - Jin Hee Kim
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Ying-Huang Tsai
- Department of Respiratory Thearpy, Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Yoo Jin Jung
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Huan Guo
- Institute of Occupational Medicine and Ministry of Education Key Lab for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China
| | - Zhibin Hu
- Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Wen-Chang Wang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Robert J Klein
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Icahn Institute for Genomics and Multiscale Biology, New York, NY
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - In-Jae Oh
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasun-Eup, Republic of Korea.,Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Kuan-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Jiang Chang
- Department of Etiology and Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ming-Shyan Huang
- Department of Internal Medicine, Kaohsiung Medical University Hospital, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Medical University Cancer Institute and Hospital, Tianjin, China
| | - Junwen Wang
- Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong, China.,Department of Biochemistry, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong, China
| | - Xueying Zhao
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Yuqing Li
- Cancer Prevention Institute of California, Fremont, CA
| | - Jin Eun Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Wu-Chou Su
- Department of Internal Medicine, Cancer Center, National Cheng Kung University Hospital, National College of Medicine, Cheng Kung University, Tainan, Taiwan
| | - Kyong Hwa Park
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Sook Whan Sung
- Department of Thoracic and Cardiovascular Surgery, Seoul St Mary's Hospital, Seoul, Republic of Korea
| | - Yuh-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Taipei Cancer Center, Taipei Medical University, Taipei, Taiwan
| | - Li Liu
- Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Hyun Kang
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Lingmin Hu
- Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chung-Hsing Chen
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - William Pao
- Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN
| | - Young-Chul Kim
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasun-Eup, Republic of Korea.,Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Tsung-Ying Yang
- Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jun Xu
- School of Public Health, the University of Hong Kong, Hong Kong
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Wen Tan
- Department of Etiology and Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chih-Liang Wang
- Department of Pulmonary and Critical Care, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Haixin Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Medical University Cancer Institute and Hospital, Tianjin, China
| | - Alan Dart Loon Sihoe
- Department of Surgery, Division of Cardiothoracic Surgery, Queen Mary Hospital, Hong Kong, China
| | - Zhenhong Zhao
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Ying Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Republic of Singapore
| | - Yi Young Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Jen-Yu Hung
- Department of Internal Medicine, Kaohsiung Medical University Hospital, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jun Suk Kim
- Department of Internal Medicine, Division of Medical Oncology, College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Ho-Il Yoon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Qiuyin Cai
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Chien-Chung Lin
- Department of Internal Medicine, Cancer Center, National Cheng Kung University Hospital, National College of Medicine, Cheng Kung University, Tainan, Taiwan
| | - In Kyu Park
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ping Xu
- Department of Oncology, Wuhan Iron and Steel Corporation Staff Worker Hospital, Wuhan, China
| | - Jing Dong
- Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Christopher Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Qincheng He
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Reury-Perng Perng
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Sun-Seog Kweon
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun-Eup, Republic of Korea.,Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Chih-Yi Chen
- Institute of Medicine, Division of Thoracic Surgery, Department of Surgery, Chung Shan Medical University, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Roel C H Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Junjie Wu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei-Yen Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Republic of Singapore
| | - Kun-Chieh Chen
- Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wong-Ho Chow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China
| | - Minjie Chu
- Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, School of Public Health, Nanjing Medical University, Nanjing, China
| | | | - Jun Yokota
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.,Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Barcelona, Spain
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Sanjiangdadao, Qujing, China
| | - Hongyan Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hideo Kunitoh
- Department of Medical Oncology, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Guoping Wu
- China National Environmental Monitoring Center, Beijing, China
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Yen-Li Lo
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Ying-Hsiang Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Hsien-Chih Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Lab for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China
| | - Maria Pik Wong
- Department of Pathology, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Pan-Chyr Yang
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Wei Zheng
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Dongxin Lin
- Department of Etiology and Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
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216
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Hong SB, Kim JW, Choi BS, Hong YC, Park EJ, Shin MS, Kim BN, Yoo HJ, Cho IH, Bhang SY, Cho SC. Blood manganese levels in relation to comorbid behavioral and emotional problems in children with attention-deficit/hyperactivity disorder. Psychiatry Res 2014; 220:418-25. [PMID: 25064383 DOI: 10.1016/j.psychres.2014.05.049] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2013] [Revised: 03/28/2014] [Accepted: 05/27/2014] [Indexed: 01/10/2023]
Abstract
Patients with attention-deficit/hyperactivity disorder (ADHD) appear to be more vulnerable to the development of other psychiatric disorders than the general population. The proposed neurotoxic mechanisms of manganese involve striatal dopamine neurotransmission, implicated in the pathophysiology of ADHD. We investigated whether the adverse impact of manganese is particularly pronounced in children with ADHD. Blood manganese concentration and diagnosis of ADHD were assessed in a general population of 890 children, aged 8-11 years. The main outcome measure was the Child Behavior Checklist (CBCL). A significant interaction was found between ADHD status and blood manganese level in predicting CBCL total problems score as well as anxiety/depression, social problems, delinquent behavior, aggressive behavior, internalizing problems, and externalizing problems. The directions of the interactions indicated that blood manganese level was more positively correlated with CBCL scores in ADHD children than in the healthy population. In ADHD children, only the fifth quintile of blood manganese concentration was significantly associated with the CBCL total problems score. ADHD children may be more vulnerable than the general school-age population to the neurotoxic effects of manganese exposure, which lead to an elevated risk of developing comorbid mental conditions.
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Affiliation(s)
- Soon-Beom Hong
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-No, Chongno-Gu, Seoul, Republic of Korea
| | - Jae-Won Kim
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-No, Chongno-Gu, Seoul, Republic of Korea
| | - Bum-Sung Choi
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-No, Chongno-Gu, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine and Institute of Environmental Medicine, Seoul, Republic of Korea
| | - Eun-Jin Park
- Department of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea
| | - Min-Sup Shin
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-No, Chongno-Gu, Seoul, Republic of Korea
| | - Boong-Nyun Kim
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-No, Chongno-Gu, Seoul, Republic of Korea
| | - Hee-Jeong Yoo
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-No, Chongno-Gu, Seoul, Republic of Korea
| | - In-Hee Cho
- Department of Psychiatry, Gil Medical Center, Gachon University of Medicine and Science, Incheon, Republic of Korea
| | - Soo-Young Bhang
- Department of Psychiatry, Gangnam Eulji Hospital, Eulji University, Seoul, Republic of Korea
| | - Soo-Churl Cho
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-No, Chongno-Gu, Seoul, Republic of Korea.
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217
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Wang Z, Zhu B, Zhang M, Parikh H, Jia J, Chung CC, Sampson JN, Hoskins JW, Hutchinson A, Burdette L, Ibrahim A, Hautman C, Raj PS, Abnet CC, Adjei AA, Ahlbom A, Albanes D, Allen NE, Ambrosone CB, Aldrich M, Amiano P, Amos C, Andersson U, Andriole G, Andrulis IL, Arici C, Arslan AA, Austin MA, Baris D, Barkauskas DA, Bassig BA, Beane Freeman LE, Berg CD, Berndt SI, Bertazzi PA, Biritwum RB, Black A, Blot W, Boeing H, Boffetta P, Bolton K, Boutron-Ruault MC, Bracci PM, Brennan P, Brinton LA, Brotzman M, Bueno-de-Mesquita HB, Buring JE, Butler MA, Cai Q, Cancel-Tassin G, Canzian F, Cao G, Caporaso NE, Carrato A, Carreon T, Carta A, Chang GC, Chang IS, Chang-Claude J, Che X, Chen CJ, Chen CY, Chen CH, Chen C, Chen KY, Chen YM, Chokkalingam AP, Chu LW, Clavel-Chapelon F, Colditz GA, Colt JS, Conti D, Cook MB, Cortessis VK, Crawford ED, Cussenot O, Davis FG, De Vivo I, Deng X, Ding T, Dinney CP, Di Stefano AL, Diver WR, Duell EJ, Elena JW, Fan JH, Feigelson HS, Feychting M, Figueroa JD, Flanagan AM, Fraumeni JF, Freedman ND, Fridley BL, Fuchs CS, Gago-Dominguez M, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, Garcia-Closas R, Gastier-Foster JM, Gaziano JM, Gerhard DS, Giffen CA, Giles GG, Gillanders EM, Giovannucci EL, Goggins M, Gokgoz N, Goldstein AM, Gonzalez C, Gorlick R, Greene MH, Gross M, Grossman HB, Grubb R, Gu J, Guan P, Haiman CA, Hallmans G, Hankinson SE, Harris CC, Hartge P, Hattinger C, Hayes RB, He Q, Helman L, Henderson BE, Henriksson R, Hoffman-Bolton J, Hohensee C, Holly EA, Hong YC, Hoover RN, Hosgood HD, Hsiao CF, Hsing AW, Hsiung CA, Hu N, Hu W, Hu Z, Huang MS, Hunter DJ, Inskip PD, Ito H, Jacobs EJ, Jacobs KB, Jenab M, Ji BT, Johansen C, Johansson M, Johnson A, Kaaks R, Kamat AM, Kamineni A, Karagas M, Khanna C, Khaw KT, Kim C, Kim IS, Kim JH, Kim YH, Kim YC, Kim YT, Kang CH, Jung YJ, Kitahara CM, Klein AP, Klein R, Kogevinas M, Koh WP, Kohno T, Kolonel LN, Kooperberg C, Kratz CP, Krogh V, Kunitoh H, Kurtz RC, Kurucu N, Lan Q, Lathrop M, Lau CC, Lecanda F, Lee KM, Lee MP, Le Marchand L, Lerner SP, Li D, Liao LM, Lim WY, Lin D, Lin J, Lindstrom S, Linet MS, Lissowska J, Liu J, Ljungberg B, Lloreta J, Lu D, Ma J, Malats N, Mannisto S, Marina N, Mastrangelo G, Matsuo K, McGlynn KA, McKean-Cowdin R, McNeill LH, McWilliams RR, Melin BS, Meltzer PS, Mensah JE, Miao X, Michaud DS, Mondul AM, Moore LE, Muir K, Niwa S, Olson SH, Orr N, Panico S, Park JY, Patel AV, Patino-Garcia A, Pavanello S, Peeters PHM, Peplonska B, Peters U, Petersen GM, Picci P, Pike MC, Porru S, Prescott J, Pu X, Purdue MP, Qiao YL, Rajaraman P, Riboli E, Risch HA, Rodabough RJ, Rothman N, Ruder AM, Ryu JS, Sanson M, Schned A, Schumacher FR, Schwartz AG, Schwartz KL, Schwenn M, Scotlandi K, Seow A, Serra C, Serra M, Sesso HD, Severi G, Shen H, Shen M, Shete S, Shiraishi K, Shu XO, Siddiq A, Sierrasesumaga L, Sierri S, Loon Sihoe AD, Silverman DT, Simon M, Southey MC, Spector L, Spitz M, Stampfer M, Stattin P, Stern MC, Stevens VL, Stolzenberg-Solomon RZ, Stram DO, Strom SS, Su WC, Sund M, Sung SW, Swerdlow A, Tan W, Tanaka H, Tang W, Tang ZZ, Tardon A, Tay E, Taylor PR, Tettey Y, Thomas DM, Tirabosco R, Tjonneland A, Tobias GS, Toro JR, Travis RC, Trichopoulos D, Troisi R, Truelove A, Tsai YH, Tucker MA, Tumino R, Van Den Berg D, Van Den Eeden SK, Vermeulen R, Vineis P, Visvanathan K, Vogel U, Wang C, Wang C, Wang J, Wang SS, Weiderpass E, Weinstein SJ, Wentzensen N, Wheeler W, White E, Wiencke JK, Wolk A, Wolpin BM, Wong MP, Wrensch M, Wu C, Wu T, Wu X, Wu YL, Wunder JS, Xiang YB, Xu J, Yang HP, Yang PC, Yatabe Y, Ye Y, Yeboah ED, Yin Z, Ying C, Yu CJ, Yu K, Yuan JM, Zanetti KA, Zeleniuch-Jacquotte A, Zheng W, Zhou B, Mirabello L, Savage SA, Kraft P, Chanock SJ, Yeager M, Landi MT, Shi J, Chatterjee N, Amundadottir LT. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33. Hum Mol Genet 2014; 23:6616-33. [PMID: 25027329 PMCID: PMC4240198 DOI: 10.1093/hmg/ddu363] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Revised: 06/30/2014] [Accepted: 07/08/2014] [Indexed: 02/03/2023] Open
Abstract
Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10(-39); Region 3: rs2853677, P = 3.30 × 10(-36) and PConditional = 2.36 × 10(-8); Region 4: rs2736098, P = 3.87 × 10(-12) and PConditional = 5.19 × 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10(-6); and Region 6: rs10069690, P = 7.49 × 10(-15) and PConditional = 5.35 × 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10(-18) and PConditional = 7.06 × 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
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Affiliation(s)
- Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics
| | | | | | - Jinping Jia
- Division of Cancer Epidemiology and Genetics
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | | | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Laurie Burdette
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Christopher Hautman
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | | | - Andrew A Adjei
- Korle Bu Teaching Hospital, PO BOX 77, Accra, Ghana, University of Ghana Medical School, PO Box 4236, Accra, Ghana
| | - Anders Ahlbom
- Unit of Epidemiology, Institute of Environmental Medicine
| | | | - Naomi E Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, UK
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Melinda Aldrich
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Pilar Amiano
- Public Health Division of Gipuzkoa, Basque Regional Health Department, San Sebastian, Spain, CIBERESP, CIBER Epidemiologia y Salud Publica, Madrid, Spain
| | | | | | - Gerald Andriole
- Division of Urologic Surgery, Washington University School of Medicine, St Louis, MO, USA
| | - Irene L Andrulis
- Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Mt Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Cecilia Arici
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Italy
| | - Alan A Arslan
- Department of Obstetrics and Gynecology and Department of Population Health, New York University School of Medicine, New York, NY, USA, New York University Cancer Institute, New York, NY, USA
| | - Melissa A Austin
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics
| | - Donald A Barkauskas
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine and
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, Division of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | | | | | | | - Pier Alberto Bertazzi
- Department of Clinical Sciences and Community Health, University of Milan, Department of Preventive Medicine, Fondazione IRCCS Ca' Granda Policlinico Hospital, Milan, Italy
| | - Richard B Biritwum
- Korle Bu Teaching Hospital, PO BOX 77, Accra, Ghana, University of Ghana Medical School, PO Box 4236, Accra, Ghana
| | | | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA, International Epidemiology Institute, Rockville, MD, USA
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Germany
| | - Paolo Boffetta
- Institute for Translational Epidemiology, Hematology and Medical Oncology, Mount Sinai Hospital School of Medicine, New York, NY, USA
| | - Kelly Bolton
- Division of Cancer Epidemiology and Genetics, Department of Oncology, University of Cambridge, Cambridge CB2 2RE, UK
| | | | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | | | - H Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Mary Ann Butler
- Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Guangwen Cao
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | | | - Alfredo Carrato
- Medical Oncology Department, Hospital Ramón y Cajal, Madrid, Spain
| | - Tania Carreon
- Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Angela Carta
- Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Mt Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Gee-Chen Chang
- Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan, Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | | | - Jenny Chang-Claude
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Xu Che
- Department of Abdominal Surgery and
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan, Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chih-Yi Chen
- Cancer Center, China Medical University Hospital, Taipei, Taiwan
| | | | | | - Kuan-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yuh-Min Chen
- Department of Epidemiology and Public Health, Yong Loo Lin School of Medicine and Chest Department, Taipei Veterans General Hospital, Taipei, Taiwan, College of Medical Science and Technology, Taipei Medical University, Taiwan
| | | | - Lisa W Chu
- Cancer Prevention Institute of California, Fremont, CA, USA
| | | | | | | | - David Conti
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine and
| | | | - Victoria K Cortessis
- Department of Preventive Medicine, Biostatistics Division, Keck School of Medicine and
| | | | - Olivier Cussenot
- CeRePP, Paris, France, AP-HP, Department of Urology, Tenon Hospital, GHU-Est, Paris, France, UPMC Univ Paris 06, GRC n°5, ONCOTYPE-URO, Paris, France
| | - Faith G Davis
- Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, AB, Canada T6G 2R3
| | - Immaculata De Vivo
- Program in Molecular and Genetic Epidemiology, Department of Medicine, Channing Division of Network Medicine and Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Xiang Deng
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ti Ding
- Shanxi Cancer Hospital, Taiyuan, Shanxi, People's Republic of China
| | | | - Anna Luisa Di Stefano
- Service de Neurologie Mazarin, GH Pitie-Salpetriere, APHP, and UMR 975 INSERM-UPMC, CRICM, Paris, France
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Eric J Duell
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Joanne W Elena
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, Bethesda, MD, USA
| | - Jin-Hu Fan
- Shanghai Cancer Institute, Shanghai, People's Republic of China
| | | | | | | | - Adrienne M Flanagan
- UCL Cancer Institute, Huntley Street, London WC1E 6BT, UK, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | | | | | - Brooke L Fridley
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Charles S Fuchs
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA, Channing Laboratory, Department of Medicine
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
| | | | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotaong University School of Medicine, Shanghai, China
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | - Reina Garcia-Closas
- Unidad de Investigación, Hospital Universitario de Canarias, La Laguna, Spain
| | - Julie M Gastier-Foster
- Nationwide Children's Hospital, and The Ohio State University Department of Pathology and Pediatrics, Columbus, OH, USA
| | - J Michael Gaziano
- Division of Preventive Medicine, Department of Medicine and Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, Massachusetts Veteran's Epidemiology, Research and Information Center, Geriatric Research Education and Clinical Center, Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Daniela S Gerhard
- Office of Cancer Genomics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Carol A Giffen
- Information Management Services Inc., Calverton, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria & Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Victoria, Australia
| | | | | | - Michael Goggins
- Department of Oncology, Department of Pathology and Department of Medicine, The Sol Goldman Pancreatic Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nalan Gokgoz
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
| | | | - Carlos Gonzalez
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Richard Gorlick
- Albert Einstein College of Medicine, The Children's Hospital at Montefiore, Bronx, NY, USA
| | | | - Myron Gross
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN, USA
| | | | - Robert Grubb
- Department of Urology, Washington University School of Medicine, St Louis, MO, USA
| | | | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Goran Hallmans
- Department of Public Health and Clinical Medicine/Nutritional Research
| | | | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Claudia Hattinger
- Laboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy
| | - Richard B Hayes
- Division of Cancer Epidemiology and Genetics, Department of Population Health, New York University Langone Medical Center and Department of Environmental Medicine, New York University Langone Medical Center, New York University Cancer Institute, New York, NY, USA
| | - Qincheng He
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | | | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Chancellor Hohensee
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Yun-Chul Hong
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea, Department of Preventive Medicine and
| | | | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Chin-Fu Hsiao
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences and Taiwan Lung Cancer Tissue/Specimen Information Resource Center, National Health Research Institutes, Zhunan, Taiwan
| | - Ann W Hsing
- Cancer Prevention Institute of California, Fremont, CA, USA, Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - Chao Agnes Hsiung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences and
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Cancer Center, Nanjing Medical University, Nanjing, China
| | - Ming-Shyan Huang
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - David J Hunter
- Program in Molecular and Genetic Epidemiology, Department of Medicine, Channing Division of Network Medicine and Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Hidemi Ito
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Kevin B Jacobs
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA, Bioinformed, LLC, Gaithersburg, MD, USA
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics
| | - Christoffer Johansen
- Department of Oncology, Finsen Center, Rigshospitalet, Copenhagen, Denmark, Unit of Survivorship, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC-WHO), Lyon, France, Department of Public Health and Clinical Medicine
| | | | - Rudolf Kaaks
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | | | | | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, UK
| | | | - In-Sam Kim
- Department of Biochemistry and Department of Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jin Hee Kim
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Yeul Hong Kim
- Genomic Research Center for Lung and Breast/Ovarian Cancers, Korea University Anam Hospital, Seoul, Republic of Korea, Department of Internal Medicine and Division of Brain and Division of Oncology/Hematology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Young-Chul Kim
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasun-eup, Republic of Korea
| | - Young Tae Kim
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chang Hyun Kang
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoo Jin Jung
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | | | - Alison P Klein
- Department of Oncology, Department of Pathology and Department of Medicine, The Sol Goldman Pancreatic Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Manolis Kogevinas
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain, CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain, National School of Public Health, Athens, Greece
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School, Singapore, Singapore, Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Vittorio Krogh
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Hideo Kunitoh
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan, Department of Respiratory Medicine, Mitsui Memorial Hospital, Tokyo, Japan
| | | | - Nilgun Kurucu
- Department of Pediatric Oncology, A.Y. Ankara Oncology Training and Research Hospital, Yenimahalle- Ankara, Turkey
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics
| | - Mark Lathrop
- Centre National de Genotypage, IG/CEA, Evry Cedex, France, Centre d'Étude du Polymorphism Humain (CEPH), Paris, France
| | - Ching C Lau
- Texas Children's Cancer and Hematology Centers
| | - Fernando Lecanda
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, Pamplona, Spain
| | - Kyoung-Mu Lee
- Department of Preventive Medicine and Department of Environmental Health, Korea National Open University, Seoul, Republic of Korea
| | | | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | - Donghui Li
- Department of Gastrointestinal Medical Oncology
| | | | - Wei-Yen Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Dongxin Lin
- State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | | | | | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Jianjun Liu
- Human Genetics Division, Genome Institute of Singapore, Singapore, School of Life Sciences, Anhui Medical University, Hefei, China
| | - Börje Ljungberg
- Department of Surgical and Perioperative Sciences, Urology and Andrology and
| | - Josep Lloreta
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Daru Lu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China, State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jing Ma
- Department of Medicine, Channing Division of Network Medicine and Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nuria Malats
- Centro Nacional de Investigaciones Oncologicas, Melchor Fernández Almagro, 3, Madrid E-28029, Spain
| | - Satu Mannisto
- National Institute for Health and Welfare, Helsinki, Finland
| | - Neyssa Marina
- Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, USA
| | - Giuseppe Mastrangelo
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy
| | - Keitaro Matsuo
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan, Department of Preventive Medicine, Kyushu University Faculty of Medical Scicence, Fukuoka, Japan
| | | | | | - Lorna H McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, and Center for Community-Engaged Translational Research, Duncan Family Institute and
| | | | | | | | - James E Mensah
- Korle Bu Teaching Hospital, PO BOX 77, Accra, Ghana, University of Ghana Medical School, PO Box 4236, Accra, Ghana
| | - Xiaoping Miao
- Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Dominique S Michaud
- Department of Epidemiology, Division of Biology and Medicine, Brown University, Providence, RI, USA
| | | | - Lee E Moore
- Division of Cancer Epidemiology and Genetics
| | - Kenneth Muir
- Health Sciences Research Institute, University of Warwick, Coventry, UK
| | | | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Nick Orr
- Complex Traits Genetics Team and
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Jae Yong Park
- Department of Biochemistry and Department of Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea, Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Alpa V Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Ana Patino-Garcia
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, Pamplona, Spain
| | - Sofia Pavanello
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy
| | - Petra H M Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, Utrecht, The Netherlands, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Piero Picci
- Laboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy
| | - Malcolm C Pike
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA, Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Stefano Porru
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Italy
| | - Jennifer Prescott
- Program in Molecular and Genetic Epidemiology, Department of Medicine, Channing Division of Network Medicine and Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Xia Pu
- Department of Epidemiology
| | | | - You-Lin Qiao
- Department of Epidemiology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | | | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Rebecca J Rodabough
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Avima M Ruder
- Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - Jeong-Seon Ryu
- Department of Internal Medicine, Inha University College of Medicine, Incheon, Korea
| | - Marc Sanson
- Service de Neurologie Mazarin, GH Pitie-Salpetriere, APHP, and UMR 975 INSERM-UPMC, CRICM, Paris, France
| | - Alan Schned
- Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Fredrick R Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ann G Schwartz
- Karmanos Cancer Institute and Department of Oncology and
| | - Kendra L Schwartz
- Karmanos Cancer Institute and Department of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI, USA
| | | | - Katia Scotlandi
- Laboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Consol Serra
- Centre for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain, CIBER of Epidemiology and Public Health (CIBERESP)
| | - Massimo Serra
- Laboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy
| | - Howard D Sesso
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, The Cancer Council Victoria & Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Victoria, Australia
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Cancer Center, Nanjing Medical University, Nanjing, China
| | - Min Shen
- Division of Cancer Epidemiology and Genetics
| | - Sanjay Shete
- Department of Biostatistics, MD Anderson Cancer Center, Houston, TX, USA
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Afshan Siddiq
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK
| | - Luis Sierrasesumaga
- Department of Pediatrics, University Clinic of Navarra, Universidad de Navarra, Pamplona, Spain
| | - Sabina Sierri
- Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alan Dart Loon Sihoe
- Department of Surgery, Division of Cardiothoracic Surgery, Queen Mary Hospital, Hong Kong, China
| | | | - Matthias Simon
- Department of Neurosurgery, University of Bonn Medical Center, Bonn, Germany
| | - Melissa C Southey
- Department of Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Margaret Spitz
- Dan L. Duncan Center, Baylor College of Medicine, Houston, TX, USA
| | - Meir Stampfer
- Department of Medicine, Channing Division of Network Medicine and Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Par Stattin
- Department of Surgical and Perioperative Sciences, Urology and Andrology and
| | - Mariana C Stern
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | | | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sara S Strom
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wu-Chou Su
- Department of Internal Medicine, National Cheng Kung University Hospital and College of Medicine, Tainan, Taiwan
| | - Malin Sund
- Department of Surgical and Perioperative Sciences/Surgery, Umeå University, Umeå, Sweden
| | - Sook Whan Sung
- Department of Thoracic and Cardiovascular Surgery, Seoul St Mary's Hospital, Seoul, South Korea
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK, Division of Breast Cancer Research, Institute of Cancer Research, London, UK
| | - Wen Tan
- State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hideo Tanaka
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Wei Tang
- Division of Cancer Epidemiology and Genetics
| | - Ze-Zhang Tang
- Shanxi Cancer Hospital, Taiyuan, Shanxi, People's Republic of China
| | - Adonina Tardon
- Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Evelyn Tay
- Korle Bu Teaching Hospital, PO BOX 77, Accra, Ghana, University of Ghana Medical School, PO Box 4236, Accra, Ghana
| | | | - Yao Tettey
- Korle Bu Teaching Hospital, PO BOX 77, Accra, Ghana, University of Ghana Medical School, PO Box 4236, Accra, Ghana
| | - David M Thomas
- Sir Peter MacCallum Department of Oncology, University of Melbourne, St Andrew's Place, East Melbourne, VIC, Australia
| | - Roberto Tirabosco
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | | | | | | | - Ruth C Travis
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, UK
| | | | | | | | - Ying-Huang Tsai
- Department of Pulmonary Medicine, Chang Gung Memorial Hospital, Chiayi, Taiwan
| | | | - Rosario Tumino
- Cancer Registry Associazione Iblea Ricerca Epidemiologica, Onlus and Asp Ragusa, Ragusa Italy
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Paolo Vineis
- Imperial College, London, UK, Human Genetics Foundation (HuGeF), Torino Italy
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ulla Vogel
- National Research Centre for the Working Environment, Copenhagen, Denmark, National Food Institute, Technical University of Denmark, Soborg, Denmark
| | - Chaoyu Wang
- Division of Cancer Epidemiology and Genetics
| | | | - Junwen Wang
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA, Department of Biochemistry and Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Sophia S Wang
- Division of Cancer Etiology, Department of Population Sciences, City of Hope and the Beckman Research Institute, Duarte, CA, USA
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway, Department of Research, Cancer Registry of Norway, Oslo, Norway, Department of Medical Epidemiology and Biostatistics and Samfundet Folkhälsan, Helsinki, Finland
| | | | | | | | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - John K Wiencke
- University of California San Francisco, San Francisco, CA, USA
| | - Alicja Wolk
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA, Channing Laboratory, Department of Medicine
| | | | | | - Chen Wu
- State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tangchun Wu
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy
| | | | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jay S Wunder
- Division of Urologic Surgery, Washington University School of Medicine, St Louis, MO, USA
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotaong University School of Medicine, Shanghai, China
| | - Jun Xu
- School of Public Health, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | | | - Pan-Chyr Yang
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yasushi Yatabe
- Department of Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital and
| | | | - Edward D Yeboah
- Korle Bu Teaching Hospital, PO BOX 77, Accra, Ghana, University of Ghana Medical School, PO Box 4236, Accra, Ghana
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Chen Ying
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Chong-Jen Yu
- Department of Internal Medicine, National Cheng Kung University Hospital and College of Medicine, Tainan, Taiwan
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA and
| | - Krista A Zanetti
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, Bethesda, MD, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA, New York University Cancer Institute, New York, NY, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | | | | | - Peter Kraft
- Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics
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Kim JH, Hong YC. HSP70-hom gene polymorphisms modify the association of diethylhexyl phthalates with insulin resistance. Environ Mol Mutagen 2014; 55:727-34. [PMID: 25044062 DOI: 10.1002/em.21884] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Accepted: 05/23/2014] [Indexed: 05/27/2023]
Abstract
Recent studies suggest that diethylhexyl phthalates (DEHP) could contribute to the development of insulin resistance (IR) through oxidative stress, and that heat shock protein (HSP) could be related with the association between DEHP and IR. Therefore, we evaluated the effect modification of genetic polymorphisms of HSP70-hom, an oxidative stress related gene, on the relation between exposure to DEHP and IR. We obtained repeated blood and urine samples from 414 elderly female participants and measured urinary levels of mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) and mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) as metabolites of DEHP. We also measured serum levels of fasting glucose and insulin, derived the homeostatic model assessment (HOMA) index to assess IR, and genotyped two HSP70-hom polymorphisms (rs2227956 and rs2075800). A mixed effect model and penalized regression spline were used to estimate the associations between DEHP exposure and IR by genetic polymorphisms. The molar sum of MEHHP and MEOHP (∑DEHP) were significantly associated with HOMA (β = 0.30, P = 0.022). When stratified by genotype at rs2227956, the relationship between ∑DEHP and HOMA was statistically significant in participants with TT (β = 0.32, P = 0.048) or TC (β = 0.60, P = 0.008), while at rs2075800 there was a marginal association for the GA genotype (β = 0.33, P = 0.097). When haplotypes were constituted across the two HSP70-hom polymorphisms (rs2227956 and rs2075800), the association was apparent only in participants with the T-A haplotype (β = 0.39, P = 0.029). Our study suggests that HSP70-hom polymorphisms modify the association of DEHP with IR.
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Affiliation(s)
- Jin Hee Kim
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
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219
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Hong YC, Kulkarni SS, Lim YH, Kim E, Ha M, Park H, Kim Y, Kim BN, Chang N, Oh SY, Kim YJ, Park C, Ha EH. Postnatal growth following prenatal lead exposure and calcium intake. Pediatrics 2014; 134:1151-9. [PMID: 25422017 DOI: 10.1542/peds.2014-1658] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The effects on postnatal growth of maternal exposure to low levels of lead during pregnancy have not been well established. In addition, information is limited regarding the protective effect of dietary calcium intake during pregnancy against the effect of lead for fetal and postnatal growth. We investigated the relationship between prenatal exposure to lead and growth at birth and 6, 12, and 24 months postnatal, and evaluated the role of calcium intake against the effect of lead. METHODS A total of 1150 pregnant women, and their subsequent offspring, enrolled in a prospective birth cohort study (Mothers and Children's Environmental Health Study), were evaluated. Multivariable regression analysis was conducted to estimate the effects of prenatal maternal blood lead levels on growth at each follow-up. RESULTS The blood lead levels of participating mothers were <5.0 μg/dL and mean levels were 1.25 μg/dL during the early (before 20 gestational weeks) and late (at delivery) gestational periods. Prenatal exposure to lead, particularly in late pregnancy, was significantly associated with a reduction in infantile growth at 24 months. When pregnant women had dietary calcium intake at mean or upper level, the association was not significant. In contrast, lower than mean level of calcium intake intensified the adverse effect of prenatal lead exposure on growth in children. CONCLUSIONS Prenatal lead exposure <5.0 μg/dL adversely affects postnatal growth and low calcium intake aggravates the effect, indicating more stringent control of lead and sufficient intake of calcium are necessary to help children's health.
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Affiliation(s)
- Yun-Chul Hong
- Institute of Environmental Medicine, Medical Research Center
| | | | - Youn-Hee Lim
- Institute of Environmental Medicine, Medical Research Center, Environmental Health Center and
| | | | - Mina Ha
- Department of Preventive Medicine, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | | | - Yangho Kim
- Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Bung-Nyun Kim
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, and Institute of Human Behavioral Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Namsoo Chang
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea
| | - Se-Young Oh
- Department of Food and Nutrition, Kyung Hee University, Seoul, Republic of Korea; and
| | - Young-Ju Kim
- Obstetrics Medicine, Ewha Medical Research Center, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Chooghee Park
- Environmental Health Research Division, National Institute of Environment Research, Seoul, Republic of Korea
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Abstract
OBJECTIVE To evaluate the association between long working hours and risk of coronary heart disease (CHD) estimated by Framingham risk score (FRS) in Korean adults. METHODS This study evaluated adult participants in Korean National Health and Nutrition Examination Survey IV (2007-2009). After inclusion and exclusion criteria were applied, the final sample size for this study model was 8,350. Subjects were asked about working hours and health status. Participants also completed physical examinations and biochemical measurement necessary for estimation of FRS. Multiple logistic regression was conducted to investigate the association between working hours and 10-year risk for CHD estimated by FRS. RESULTS Compared to those who work 31-40 hr, significantly higher 10-year risk was estimated among subjects working longer hours. As working hours increased, odds ratio (OR) for upper 10 percent of estimated 10-year risk for CHD was increased up to 1.94. CONCLUSIONS Long working hours are significantly related to risk of coronary heart disease.
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Affiliation(s)
- Mo-Yeol Kang
- Department of Preventive Medicine; Seoul National University College of Medicine
| | - Soo-Hun Cho
- Department of Preventive Medicine; Seoul National University College of Medicine
- Institute of Environmental Medicine; Seoul National University Medical Research Center
| | - Min-Sang Yoo
- Department of Preventive Medicine; Seoul National University College of Medicine
| | - Taeshik Kim
- Department of Preventive Medicine; Seoul National University College of Medicine
| | - Yun-Chul Hong
- Department of Preventive Medicine; Seoul National University College of Medicine
- Institute of Environmental Medicine; Seoul National University Medical Research Center
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221
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Park S, Cho SC, Hong YC, Kim JW, Shin MS, Yoo HJ, Han DH, Cheong JH, Kim BN. Environmental tobacco smoke exposure and children's intelligence at 8-11 years of age. Environ Health Perspect 2014; 122:1123-8. [PMID: 24911003 PMCID: PMC4181918 DOI: 10.1289/ehp.1307088] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 06/02/2014] [Indexed: 05/25/2023]
Abstract
BACKGROUND Evidence supporting a link between postnatal environmental tobacco smoke (ETS) exposure and cognitive problems among children is mounting, but inconsistent. OBJECTIVES We examined the relationship between ETS exposure, measured using urine cotinine, and IQ scores in Korean school-aged children. METHODS The participants were 996 children 8-11 years of age recruited from five administrative regions in South Korea. We performed a cross-sectional analysis of urinary cotinine concentrations and IQ scores obtained using the abbreviated form of a Korean version of the Wechsler Intelligence Scales for Children. Associations were adjusted for potential confounders, and estimates were derived with and without adjustment for mother's Full-Scale IQ (FSIQ) score. RESULTS After adjusting for sociodemographic and developmental covariates, urinary cotinine concentrations were inversely associated with FSIQ, Verbal IQ (VIQ), Performance IQ (PIQ), vocabulary, math, and block design scores. Following further adjustment for maternal IQ, only the VIQ scores remained significantly associated with urinary cotinine concentration (B = -0.31; 95% CI: -0.60, -0.03 for a 1-unit increase in natural log-transformed urine cotinine concentration; p = 0.03). CONCLUSION Urine cotinine concentrations were inversely associated with children's VIQ scores before and after adjusting for maternal IQ. Further prospective studies with serial measurements of cotinine are needed to confirm our findings.
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Affiliation(s)
- Subin Park
- Department of Psychiatry, Seoul National Hospital, Seoul, Republic of Korea
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Fehringer G, Brenner D, Zhang ZF, Lee YCA, Matsuo K, Stucker I, Vineis P, Boffetta P, Brennan P, Landi MT, Morgenstern H, Harris CC, Lan Q, Hong YC, Siemiatycki J, McLaughlin JR, Lazarus P, Muscat J, Schwartz AG, Dios JMB, Raviña AR, Rennert G, Christiani DC, Tardon A, Marchand LL, Orlow I, Duell EJ, Andrew AS, Brenner H, Consonni D, Olsson A, Straif K, Hung RJ. Abstract 1274: Alcohol and lung cancer risk: a pooled analysis using International Lung Cancer Consortium studies. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-1274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Alcohol consumption is known to be associated with risk of developing several cancers. It is unclear, however, whether alcohol consumption is a risk factor for lung cancer. The relationship between lung cancer and alcohol consumption is likely to be confounded by smoking. To minimize potential confounding by tobacco consumption, we conducted a pooled analysis to examine the association of alcohol consumption with lung cancer risk in a large sample of never-smokers.
Methods: We pooled data from 22 case-control and cohort studies from North America, Europe and Asia within the International Lung Cancer Consortium (ILCCO) and SYNERGY Consortium. We examined the association of average lifetime alcohol consumption (expressed as average grams per day intake) with lung cancer risk in never smokers using logistic regression to model categories of alcohol consumption (0<5g per day, 5<10g per day, 10<20g per day, 20<30g per day, 30<45g per day, 45+ g per day). To investigate the shape of the dose response relationship, we applied restricted cubic spline models to examine the association for lung cancer risk overall and by histological subtype. Additional analyses examined wine, beer and liquor consumption in relation to risk, with mutual adjustment for each alcoholic beverage. All analyses were adjusted for age, sex, education, ethnicity and study.
Results: A total of 2548 never-smoking cases and 9362 never-smoking controls were included in the analysis. The results showed lower risk among consumers of alcohol with strongest evidence found for moderate drinkers relative to non-drinkers with ORs of 0.80 (95% CI 0.70-0.90) and 0.82 (95% CI 0.69-0.99) for <5grams and 5-10 grams of alcohol per day respectively. Non-linear restricted cubic splines showed reduced lung cancer risk among moderate drinkers relative to non-drinkers with risk increasing towards the null as consumption increased. Similar results were seen for adenocarcinoma and squamous cell carcinoma. Associations with lung cancer differed for wine and beer consumption. Reduced risk was observed for wine drinking particularly at low levels of drinking, OR of 0.80 (95% CI=0.69-0.94) for <5g per day. Risk for beer consumption increased from close to null among occasional drinkers to 1.54 (95% CI 0.90-2.65) among consumers of 20-30g of alcohol per day (test for trend P=0.09).
Conclusions: These results indicate an inverse association between moderate drinking and lung cancer risk relative to never drinkers. However, the inverse association was restricted to wine consumption, not consumption of beer. Lifestyle differences between consumers of beer and wine may play a role in differing patterns of risk found by alcohol type.
Citation Format: Gordon Fehringer, Darren Brenner, Zuo-Feng Zhang, Yuan-Chin Amy Lee, Keitaro Matsuo, Isabelle Stucker, Paolo Vineis, Paolo Boffetta, Paul Brennan, Maria T. Landi, Hal Morgenstern, Curtis C. Harris, Qing Lan, Yun-Chul Hong, Jack Siemiatycki, John R. McLaughlin, Philip Lazarus, Joshua Muscat, Ann G. Schwartz, Juan M. Barros Dios, Alberto R. Raviña, Gad Rennert, David C. Christiani, Adonina Tardon, Loic Le Marchand, Irene Orlow, Eric J. Duell, Angeline S. Andrew, Hermann Brenner, Dario Consonni, Ann Olsson, Kurt Straif, Rayjean J. Hung. Alcohol and lung cancer risk: a pooled analysis using International Lung Cancer Consortium studies. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1274. doi:10.1158/1538-7445.AM2014-1274
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Affiliation(s)
- Gordon Fehringer
- 1Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Darren Brenner
- 2International Agency for Research on Cancer (IARC), Lyon, France
| | - Zuo-Feng Zhang
- 3University of California, Los Angeles (UCLA), Los Angeles, CA
| | | | - Keitaro Matsuo
- 5Kyushu University Faculty of Medical Sciences, Kyushu, Japan
| | | | - Paolo Vineis
- 7Imperial College London, London, United Kingdom
| | | | - Paul Brennan
- 2International Agency for Research on Cancer (IARC), Lyon, France
| | | | | | | | - Qing Lan
- 9National Cancer Institute, Bethesda, MD
| | - Yun-Chul Hong
- 11Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jack Siemiatycki
- 12University of Montreal Hospital Research Center (CRCHUM) and School of Public Health, Montreal, Quebec, Canada
| | | | - Philip Lazarus
- 14Penn State University College of Medicine, Hershey, PA
| | - Joshua Muscat
- 14Penn State University College of Medicine, Hershey, PA
| | | | | | - Alberto R. Raviña
- 16University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Gad Rennert
- 17Israel Institute of Technology and Clalit Health Services National Cancer Control Center, Haifa, Israel
| | | | - Adonina Tardon
- 19University Institute of Oncology, University of Oviedo, Oviedo, Spain
| | | | - Irene Orlow
- 21Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Eric J. Duell
- 22Catalan Institute of Oncology (ICO), Barcelona, Spain
| | | | | | - Dario Consonni
- 25Fondazione IRCCS Ca' Granda–Ospedale Maggiore Policlinico, Milan, Italy
| | - Ann Olsson
- 2International Agency for Research on Cancer (IARC), Lyon, France
| | - Kurt Straif
- 2International Agency for Research on Cancer (IARC), Lyon, France
| | - Rayjean J. Hung
- 1Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
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Kim K, Yoo T, Kim Y, Choi JH, Myung SK, Park SM, Hong YC, Cho B, Park SK, Yoo KY. Association between cigarette smoking history and mortality in 36,446 health examinees in Korea. Asian Pac J Cancer Prev 2014; 15:5685-9. [PMID: 25081686 DOI: 10.7314/apjcp.2014.15.14.5685] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND It is well known that smoking is a preventable factor for all-cause mortality; however, it is still questionable how many years after smoking cessation that people will have reduced risk for mortality, in particular in those with a high interest in their own health. We aimed to examine the association between time since quitting smoking and total mortality among past-smokers relative to current smokers. MATERIALS AND METHODS We enrolled 36,446 health examinees that voluntarily taken with diverse health check-up packages of high cost burden in 1995-2003 and followed them till death by 2004. The history of cigarette smoking consumption was collected using a self-administrative questionnaire at the first visit time. Mortality risk by smoking cessation years was analyzed using Cox's proportional hazard model. RESULTS Compared to non-smokers, male smokers over 15 pack-years had higher risk for total mortality (HR=1.49, 95%CI 1.02-2.18). The mortality risk in female smokers with same pack-years was more pronounced than that in male smokers (HR=2.83, 95%CI 1.17-7.04) despite a small number of cases. Compared to current smokers, a decrease of total mortality was observed among those who ceased smoking, and inverse dose-response was found with years after cessation: RR 0.98 (95%CI, 0.64-1.41) (<2 yrs), 0.60 (95%CI, 0.43-0.83) (3-9 yrs), and 0.58 (95%CI, 0.43-0.79) (≥10 yrs). CONCLUSIONS A reduced risk of total mortality was observed after 3 years of smoking cessation. Our findings suggest that at least 3 years of smoking cessation may contribute to reduce premature mortality among Asian men.
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Affiliation(s)
- Kyoungwoo Kim
- Department of Family Medicine, Inje University Seoul Paik Hospital, Seoul, Korea E-mail :
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Hong SB, Dwyer D, Kim JW, Park EJ, Shin MS, Kim BN, Yoo HJ, Cho IH, Bhang SY, Hong YC, Pantelis C, Cho SC. Subthreshold attention-deficit/hyperactivity disorder is associated with functional impairments across domains: a comprehensive analysis in a large-scale community study. Eur Child Adolesc Psychiatry 2014; 23:627-36. [PMID: 24318039 DOI: 10.1007/s00787-013-0501-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2013] [Accepted: 11/19/2013] [Indexed: 12/11/2022]
Abstract
This study compared children who experience attention-deficit/hyperactivity disorder (ADHD) symptoms but do not meet criteria (i.e., subthreshold ADHD) with those with the full syndrome and healthy controls. Presence of ADHD symptoms was determined in a nationwide community sample of 921 children, aged 8-11 years. The main outcome measures comprised attentional symptoms, comorbidity profiles, academic performance, and neurocognitive ability (i.e., ADHD Rating Scale, Child Behavior Checklist, Learning Disability Evaluation Scale, and Stroop Color-Word Test, respectively). Subthreshold ADHD was equally prevalent in boys and girls, and more prevalent in low-income families. Throughout all the outcome measurements, subthreshold ADHD was both a significantly milder condition than full syndrome ADHD and a significantly more severe condition than non-ADHD status. The findings were consistent across the total as well as the subtest scores, and after correction for multiple comparisons (p < 0.0017). Children with subthreshold ADHD were found to experience significant symptoms and functional impairments. The results of this study support the clinical relevance of subthreshold ADHD in a childhood population. Subthreshold diagnostic criteria for ADHD may be more sensitive in detecting ADHD symptoms in girls than the full syndrome criteria, and subthreshold clinical, cognitive, and behavioral symptoms of ADHD may occur in a subset of children who are possibly more sensitive to their environment. Further consideration about the diagnostic threshold for ADHD may particularly benefit girls and children in low-income families.
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Affiliation(s)
- Soon-Beom Hong
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Parkville, VIC, Australia
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Lee WK, Lee HA, Hwang SS, Kim H, Lim YH, Hong YC, Ha EH, Park H. A time series study on the effects of cold temperature on road traffic injuries in Seoul, Korea. Environ Res 2014; 132:290-6. [PMID: 24834824 DOI: 10.1016/j.envres.2014.04.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2014] [Revised: 04/14/2014] [Accepted: 04/17/2014] [Indexed: 05/10/2023]
Abstract
OBJECTIVE Although traffic accidents are associated with weather, the influence of temperature on injuries from traffic accidents has not been evaluated sufficiently. The objective of this study was to evaluate the effect of temperature, especially cold temperatures, on injuries from traffic accidents in Seoul, Korea. We also explored the relationship of temperature with different types of traffic accident. METHODS The daily frequencies of injuries from traffic accidents in Seoul were summarized from the integrated database established by the Korea Road Traffic Authority. Weather data included temperature, barometric pressure, rainfall, snow, and fog from May 2007 to December 2011. The qualitative relationship between daily mean temperature and injuries from traffic accidents was evaluated using a generalized additive model with Poisson distribution. Further analysis was performed using piecewise linear regression if graph the showed non-linearity with threshold. RESULTS The incidence of injuries was 216 per 100,000 person-months in Seoul. The effect of temperature on injuries from traffic accidents was minimal during spring and summer. However, injuries showed a more striking relationship with temperature in winter than in other seasons. In winter, the number of injuries increased as the temperature decreased to <0°C. The injuries increased by 2.1% per 1°C decrease under the threshold of the daily average temperature -5.7°C, which is 10-fold greater than the effect of temperature above the threshold. Some groups were more susceptible to injuries, such as young and male drivers, according to the types of traffic accident when the temperature decreased to below the freezing temperature. CONCLUSIONS The incidence of injuries increased sharply when the temperature decreased below freezing temperature in winter. Temperature can be effectively used to inform high risk of road traffic injuries, thus helping to prevent road traffic injuries.
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Affiliation(s)
- Won-Kyung Lee
- Department of Social and Preventive Medicine, Inha University School of Medicine, Republic of Korea; Department of Preventive Medicine, School of Medicine, Ewha Womans University, 071, Anyangcheon-ro, Yangcheon-ku, Seoul 158-710, Republic of Korea
| | - Hye-Ah Lee
- Department of Preventive Medicine, School of Medicine, Ewha Womans University, 071, Anyangcheon-ro, Yangcheon-ku, Seoul 158-710, Republic of Korea
| | - Seung-sik Hwang
- Department of Social and Preventive Medicine, Inha University School of Medicine, Republic of Korea
| | - Ho Kim
- Department of Epidemiology and Biostatistics, Seoul National University, Seoul, Republic of Korea
| | - Youn-Hee Lim
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, School of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Eun-Hee Ha
- Department of Preventive Medicine, School of Medicine, Ewha Womans University, 071, Anyangcheon-ro, Yangcheon-ku, Seoul 158-710, Republic of Korea
| | - Hyesook Park
- Department of Preventive Medicine, School of Medicine, Ewha Womans University, 071, Anyangcheon-ro, Yangcheon-ku, Seoul 158-710, Republic of Korea.
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226
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Kim BM, Choi AL, Ha EH, Pedersen L, Nielsen F, Weihe P, Hong YC, Budtz-Jørgensen E, Grandjean P. Effect of hemoglobin adjustment on the precision of mercury concentrations in maternal and cord blood. Environ Res 2014; 132:407-12. [PMID: 24853977 PMCID: PMC4103659 DOI: 10.1016/j.envres.2014.04.030] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Revised: 04/22/2014] [Accepted: 04/24/2014] [Indexed: 05/19/2023]
Abstract
The cord-blood mercury concentration is usually considered the best biomarker in regard to developmental methylmercury neurotoxicity. However, the mercury concentration may be affected by the binding of methylmercury to hemoglobin and perhaps also selenium. As cord-blood mercury analyses appear to be less precise than suggested by laboratory quality data, we studied the interrelationships of mercury concentrations with hemoglobin in paired maternal and cord blood samples from a Faroese birth cohort (N=514) and the Mothers and Children's Environmental Health study in Korea (n=797). Linear regression and structural equation model (SEM) analyses were used to ascertain interrelationships between the exposure biomarkers and the possible impact of hemoglobin as well as selenium. Both methods showed a significant dependence of the cord-blood concentration on hemoglobin, also after adjustment for other exposure biomarkers. In the SEM, the cord blood measurement was a less imprecise indicator of the latent methylmercury exposure variable than other exposure biomarkers available, and the maternal hair concentration had the largest imprecision. Adjustment of mercury concentrations both in maternal and cord blood for hemoglobin improved their precision, while no significant effect of the selenium concentration in maternal blood was found. Adjustment of blood-mercury concentrations for hemoglobin is therefore recommended.
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Affiliation(s)
- Byung-Mi Kim
- Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA; Department of Preventive Medicine, School of Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
| | - Anna L Choi
- Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA
| | - Eun-Hee Ha
- Department of Preventive Medicine, School of Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
| | - Lise Pedersen
- Department of Clinical Chemistry & Pharmacology, Odense University Hospital, Odense, Denmark
| | - Flemming Nielsen
- Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Pal Weihe
- Faroese Hospital System, Torshavn, Faroe Islands
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Philippe Grandjean
- Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA; Institute of Public Health, University of Southern Denmark, Odense, Denmark.
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227
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Choi YH, Kim JH, Lee BE, Hong YC. Urinary benzene metabolite and insulin resistance in elderly adults. Sci Total Environ 2014; 482-483:260-8. [PMID: 24657371 DOI: 10.1016/j.scitotenv.2014.02.121] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Revised: 02/26/2014] [Accepted: 02/26/2014] [Indexed: 05/11/2023]
Abstract
BACKGROUND Benzene is a volatile organic compound present in traffic-related and indoor air pollution. It is of particular concern since it is known to induce oxidative stress, which can affect insulin resistance (IR). We therefore examined the association between exposure to environmental benzene and IR in the elderly. STUDY DESIGN Between 2008 and 2010, benzene metabolite levels (urinary trans,trans-muconic acid (t,t-MA)) and homeostatic model assessment index (HOMA-IR) were repeatedly measured in 505 adults aged ≥60 years. Linear mixed-effect models and marginal logistic models were used to evaluate associations of t,t-MA concentration with HOMA-IR score and elevated IR, defined as HOMA-IR ≥2.6. RESULTS After adjustment for sociodemographic and behavioral factors, environmental co-exposures, and metabolic conditions, quartile levels of urinary t,t-MA demonstrated a dose-dependent association with elevated IR (p-trend<0.001) and the level of oxidative stress estimated by urinary malondialdehyde (p-trend<0.001). As compared to the lowest quartile, the upper quartiles of t,t-MA (t,t-MA concentration >0.017mg/g CR) were associated with elevated IR [odds ratio=Q2: 2.00 (95% confidence interval (CI): 1.16-3.46); Q3: 3.33 (95% CI: 1.90-5.84); Q4: 2.07 (95% CI: 1.02-4.22)]. CONCLUSION Urinary benzene at levels currently observed in the urban elderly population is associated with IR, independent of traditional risk factors. Reduction of community-level exposure to benzene is therefore important for the effective prevention of IR in older adults.
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Affiliation(s)
- Yoon-Hyeong Choi
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Jin Hee Kim
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea; Environmental Health Center, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Bo-Eun Lee
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea; Environmental Health Center, Seoul National University Medical Research Center, Seoul, Republic of Korea.
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Kim E, Park H, Hong YC, Ha M, Kim Y, Kim BN, Kim Y, Roh YM, Lee BE, Ryu JM, Kim BM, Ha EH. Prenatal exposure to PM₁₀ and NO₂ and children's neurodevelopment from birth to 24 months of age: mothers and Children's Environmental Health (MOCEH) study. Sci Total Environ 2014; 481:439-45. [PMID: 24631606 DOI: 10.1016/j.scitotenv.2014.01.107] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Revised: 12/05/2013] [Accepted: 01/28/2014] [Indexed: 05/06/2023]
Abstract
INTRODUCTION Previous studies have suggested adverse effects of maternal exposure to air pollution on neurodevelopment in early childhood. OBJECTIVES We aimed to investigate the association between prenatal exposure to particulates of less than 10 μm in diameter (PM10) and nitrogen dioxide (NO2) and neurodevelopment in children during the first 24 months of their lives. METHODS The MOCEH study is a prospective birth cohort study in South Korea. Average exposure levels to PM10 and NO2 during the entire pregnancy were estimated using the inverse distance weighting (IDW) method. A total of 520 mother-child pairs who completed neurodevelopmental assessments using the Korean Bayley Scale of Infant Development II (K-BSID-II) more than once at ages of 6, 12 and 24 months were included. Mental developmental index (MDI) and psychomotor developmental index (PDI) from the K-BSID-II were used as outcome variables. RESULTS There were negative associations between maternal exposure to PM10 and MDI (β=-2.83; p=0.003) and PDI (β=-3.00; p=0.002) throughout the first 24 months of life as determined by the generalized estimating equation (GEE) model. Maternal NO2 exposure was related with impairment of psychomotor development (β=-1.30; p=0.05) but not with cognitive function (β=-0.84; p=0.20). In a multiple linear regression model, there were significant effects of prenatal air pollution exposure on MDI (PM10: β=-4.60; p<0.001, NO2: β=-3.12; p<0.001) and PDI (PM10: β=-7.24; p<0.001, NO2: β=-3.01; p<0.001) at 6 months, but no significant association was found at 12 and 24 months of age. CONCLUSIONS The findings suggest that exposure to air pollution may result in delayed neurodevelopment in early childhood.
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Affiliation(s)
- Eunjeong Kim
- Department of Preventive Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
| | - Hyesook Park
- Department of Preventive Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Mina Ha
- Department of Preventive Medicine, College of Medicine, Dankook University, Cheonan, South Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, South Korea
| | - Boong-Nyun Kim
- Division of Child & Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Yeni Kim
- Department of Adolescent Psychiatry, National Center for Child and Adolescent Psychiatry, Seoul National Hospital, Seoul, South Korea
| | - Young-Man Roh
- Institute for Environmental Research, Yonsei University, Seoul, South Korea
| | - Bo-Eun Lee
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, South Korea
| | - Jung-Min Ryu
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, South Korea
| | - Byung-Mi Kim
- Department of Preventive Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea
| | - Eun-Hee Ha
- Department of Preventive Medicine, Ewha Medical Research Center, Ewha Womans University, Seoul, South Korea.
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Eum JH, Cheong HK, Ha EH, Ha M, Kim Y, Hong YC, Park H, Chang N. Maternal blood manganese level and birth weight: a MOCEH birth cohort study. Environ Health 2014; 13:31. [PMID: 24775401 PMCID: PMC4012711 DOI: 10.1186/1476-069x-13-31] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2013] [Accepted: 04/16/2014] [Indexed: 05/18/2023]
Abstract
BACKGROUND Manganese (Mn) is an essential trace element for humans and animals, but excess intake of Mn can lead to adverse developmental outcome. Few studies have investigated the effects of deficiency or excess of Mn on the human foetus. In this study, we assessed the quantitative relationship between maternal blood Mn and birth weight of a newborn. METHODS We performed analysis on 331 full-term, live birth singleton mother-infant pairs enrolled from July 2007 to December 2009 in the Mother and Children's Environmental Health (MOCEH) study in Korea. A questionnaire on general characteristics, a review of medical records, and maternal whole blood Mn analysis were performed at full-term pregnancy. We evaluated the relationship between maternal blood level of Mn and the birth outcome using logistic regression and generalised additive model. RESULTS The mean Mn concentration in whole maternal blood was 22.5 μg/L. We found a curvilinear relationship between maternal blood Mn and birth weight after adjusting for potential confounders. Birth weight peaked at the maternal blood Mn level of 30 and 35 μg/L. An increased probability of birth weight below 3000 g was observed at both below 16.9 μg/L (odds ratio = 2.77, 95% CI: 0.89-8.65) and above 26.9 μg/L of maternal blood Mn level (odds ratio = 2.66, 95% CI: 0.84-8.08). CONCLUSIONS Our study found that both extreme level of maternal Mn level was associated with lower birth weight outcome in a nonlinear fashion.
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Affiliation(s)
- Jin-Hee Eum
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 440-746, Republic of Korea
- Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 135-990, Republic of Korea
| | - Hae-Kwan Cheong
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 440-746, Republic of Korea
- Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 135-990, Republic of Korea
| | - Eun-Hee Ha
- Department of Preventive Medicine, Ewha Womans University School of Medicine, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul 158-710, Republic of Korea
| | - Mina Ha
- Department of Preventive Medicine, Dankook University College of Medicine, 119 Dandae-ro, Dongnam-gu, Cheonan, Chungnam 330-714, Republic of Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan 682-714, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 110-799, Republic of Korea
| | - Hyesook Park
- Department of Preventive Medicine, Ewha Womans University School of Medicine, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul 158-710, Republic of Korea
| | - Namsoo Chang
- Department of Nutritional Science and Food Management, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea
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Kim CH, Lee YCA, Hung RJ, McNallan SR, Cote ML, Lim WY, Chang SC, Kim JH, Ugolini D, Chen Y, Liloglou T, Andrew AS, Onega T, Duell EJ, Field JK, Lazarus P, Le Marchand L, Neri M, Vineis P, Kiyohara C, Hong YC, Morgenstern H, Matsuo K, Tajima K, Christiani DC, McLaughlin JR, Bencko V, Holcatova I, Boffetta P, Brennan P, Fabianova E, Foretova L, Janout V, Lissowska J, Mates D, Rudnai P, Szeszenia-Dabrowska N, Mukeria A, Zaridze D, Seow A, Schwartz AG, Yang P, Zhang ZF. Exposure to secondhand tobacco smoke and lung cancer by histological type: a pooled analysis of the International Lung Cancer Consortium (ILCCO). Int J Cancer 2014; 135:1918-30. [PMID: 24615328 DOI: 10.1002/ijc.28835] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2013] [Accepted: 01/30/2014] [Indexed: 01/11/2023]
Abstract
While the association between exposure to secondhand smoke and lung cancer risk is well established, few studies with sufficient power have examined the association by histological type. In this study, we evaluated the secondhand smoke-lung cancer relationship by histological type based on pooled data from 18 case-control studies in the International Lung Cancer Consortium (ILCCO), including 2,504 cases and 7,276 control who were never smokers and 10,184 cases and 7,176 controls who were ever smokers. We used multivariable logistic regression, adjusting for age, sex, race/ethnicity, smoking status, pack-years of smoking, and study. Among never smokers, the odds ratios (OR) comparing those ever exposed to secondhand smoke with those never exposed were 1.31 (95% CI: 1.17-1.45) for all histological types combined, 1.26 (95% CI: 1.10-1.44) for adenocarcinoma, 1.41 (95% CI: 0.99-1.99) for squamous cell carcinoma, 1.48 (95% CI: 0.89-2.45) for large cell lung cancer, and 3.09 (95% CI: 1.62-5.89) for small cell lung cancer. The estimated association with secondhand smoke exposure was greater for small cell lung cancer than for nonsmall cell lung cancers (OR=2.11, 95% CI: 1.11-4.04). This analysis is the largest to date investigating the relation between exposure to secondhand smoke and lung cancer. Our study provides more precise estimates of the impact of secondhand smoke on the major histological types of lung cancer, indicates the association with secondhand smoke is stronger for small cell lung cancer than for the other histological types, and suggests the importance of intervention against exposure to secondhand smoke in lung cancer prevention.
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Affiliation(s)
- Claire H Kim
- Department of Epidemiology Fielding School of Public Health, University of California at Los Angeles (UCLA), 71-225 CHS, 650 Charles E Young Drive, South, Los Angeles, CA
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Kim JH, Ha EH, Park HS, Ha M, Hong YC, Kim Y, Kim MH, Jung JA, Chang N. Relationship Between Maternal Fat During Pregnancy and Risks Of Allergic and Respiratory Diseases In Early Childhood: The Mothers and Children's Environmental Health Study. J Allergy Clin Immunol 2014. [DOI: 10.1016/j.jaci.2013.12.466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Lee MR, Park H, Bae S, Lim YH, Kim JH, Cho SH, Hong YC. Urinary bisphenol A concentrations are associated with abnormal liver function in the elderly: a repeated panel study. J Epidemiol Community Health 2013; 68:312-7. [PMID: 24285822 DOI: 10.1136/jech-2013-202548] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND Bisphenol A (4,40-isopropylidenediphenol, BPA) is known to adversely affect various organs. The liver is reported to be affected by BPA in animal studies. However, there are few studies in humans on the effects of BPA on the liver. Therefore, we evaluated the relationship between urinary BPA levels and liver function in elderly subjects using repeated measurements. METHODS From 2008 to 2010, a total of 560 elderly subjects residing in Seoul were each evaluated up to three times. At the first visit, demographic data, environmental exposure and lifestyle information were obtained from a systemised questionnaire. At each visit, blood and urine samples were collected and stored for analysis. Linear mixed and GLIMMIX model analyses were performed after adjusting for age, sex, Body Mass Index, alcohol consumption, urinary cotinine concentrations, exercise frequency, and low-density lipoprotein cholesterol level. RESULTS The mean urinary BPA concentration was 1.13 μg/g creatinine. Significant relationships were observed between urinary BPA and aspartate aminotransferase, alanine aminotransferase, and gamma-glutamyl transferase after adjusting for potential confounders (p<0.05). When subjects were grouped according to urinary BPA concentrations divided by the median value, higher urinary BPA concentrations were associated with increased abnormal liver function (OR 2.66; 95% CI 1.15 to 5.90). CONCLUSIONS Community-level exposure to BPA was associated with abnormal liver function in the elderly, indicating that more stringent control of BPA is necessary to protect susceptible populations.
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Affiliation(s)
- Mee-Ri Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, , Seoul, Korea
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Kim JH, Hong YC. No Association between Tumor Necrosis Factor-alpha Gene Polymorphisms and Lung Cancer Risk. Environ Health Toxicol 2013; 28:e2013012. [PMID: 24303348 PMCID: PMC3842450 DOI: 10.5620/eht.2013.28.e2013012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 10/04/2013] [Indexed: 06/02/2023]
Abstract
OBJECTIVES The role of genetic polymorphisms of tumor necrosis factor-alpha (TNF-α) for lung cancer development was evaluated. METHODS Genotypes of the TNF-α polymorphisms, -1210C>T, -487A>G, -417A>G, IVS1+123G>A, and IVS3+51A>G, were determined in 616 lung cancer cases and 616 lung cancer-free controls. RESULTS After adjusting for body mass index and smoking, each TNF-α genotype or haplotype composed of five TNF-α single nucleotide polymorphisms did not show an association with lung cancer risk (p>0.05). The statistical power was found to be 88.4%, 89.3%, 93.3%, 69.7%, and 93.9% for 1210C>T, -487A>G, -417A>G, IVS1+123G>A, and IVS3+51A>G, respectively. Furthermore, the effects of each SNP or haplotype on lung cancer risk were not found to be different according to the cell type of lung cancer (p>0.05). In the repeated analysis with only subjects without other diseases related to inflammation, there was also no association between polymorphisms or haplotypes of the TNF-α gene and lung cancer risk (p>0.05). CONCLUSIONS This study found no association between common variants of the TNF-α gene and lung cancer risk.
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Affiliation(s)
- Jin Hee Kim
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea
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Bhang SY, Cho SC, Kim JW, Hong YC, Shin MS, Yoo HJ, Cho IH, Kim Y, Kim BN. Relationship between blood manganese levels and children's attention, cognition, behavior, and academic performance--a nationwide cross-sectional study. Environ Res 2013; 126:9-16. [PMID: 23790803 DOI: 10.1016/j.envres.2013.05.006] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2012] [Revised: 02/14/2013] [Accepted: 05/17/2013] [Indexed: 05/10/2023]
Abstract
Manganese (Mn) is neurotoxic at high concentrations. However, Mn is an essential element that can protect against oxidative damage; thus, extremely low levels of Mn might be harmful. Our aim was to examine whether either high or low environmental Mn exposure is related to academic and attention function development among school-aged children. This cross-sectional study included 1089 children 8-11 years of age living in five representative areas in South Korea. Blood Mn, blood lead, and urine cotinine were measured. We assessed IQ with the Wechsler Abbreviated Scale of Intelligence; attention with a computerized continuous performance test called the Attention-deficit/hyperactivity disorder (ADHD) Diagnostic System (ADS), the Korean version of the Stroop Color-Word Test, the Children's Color Trails Test (CCTT), and the ADHD Rating Scale; academic functions with the Learning Disability Evaluation Scale (LDES); and emotional and behavioral problems with the Korean version of the Child Behavior Checklist (CBCL). We further assessed the presence of ADHD using a highly structured diagnostic interview, the Diagnostic Interview Schedule for Children Version IV (DISC-IV). The median blood concentration of Mn was 14.14 µg/L. We observed a nonlinear association between the CCTT2 completion time and the CPT commission error (F=3.14, p=0.03 and F=4.05, p=0.01, respectively). We divided the data into three groups: lower (<8.154 µg/L), and upper 5th percentile (>21.453 µg/L) and middle 90th percentile to determine whether a lack or overload of Mn could cause adverse effects. After adjusting for urine cotinine, blood lead, children's IQ, and other potential confounders, the high Mn group showed lower scores in thinking (B=-0.83, p=0.006), reading (B=-0.93, p=0.004), calculations (B=-0.72, p=0.005), and LQ (B=-4.06, p=0.006) in the LDES and a higher commission error in the CPT (B=8.02, p=0.048). The low Mn group showed lower color scores in the Stroop test (B=-3.24, p=0.040). We found that excess Mn in children is associated with lower scores of thinking, reading, calculation, and LQ in the LDES and higher scores of commission error in the ADS test. In contrast, lower Mn in children is associated with lower color scores in the Stroop test. The findings of this cross-sectional study suggest that excess exposure or deficiency of Mn can cause harmful effects in children.
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Affiliation(s)
- Soo-Young Bhang
- Department of Psychiatry, Gangnam Eulji Hospital, Eulji University, Seoul, Republic of Korea; Suicide and School Mental Health Institute, Anyang, Republic of Korea
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Kim JH, Park HY, Bae S, Lim YH, Hong YC. Diethylhexyl phthalates is associated with insulin resistance via oxidative stress in the elderly: a panel study. PLoS One 2013; 8:e71392. [PMID: 23977034 PMCID: PMC3747269 DOI: 10.1371/journal.pone.0071392] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 07/03/2013] [Indexed: 12/20/2022] Open
Abstract
Background Insulin resistance (IR) is believed to be the underlying mechanism of metabolic syndrome and type 2 diabetes mellitus (DM). Recently, a few studies have demonstrated that phthalates could cause oxidative stress which would contribute to the development of IR. Therefore, we evaluated whether exposure to phthalates affects IR, and oxidative stress is involved in the phthalates-IR pathway. Methods We recruited 560 elderly participants, and obtained blood and urine samples during repeated medical examinations. For the determination of phthalate exposure, we measured urinary levels of mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) and mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) as metabolites of diethylhexyl phthalates (DEHP), and mono-n-butyl phthalate (MnBP) as a metabolite of di-butyl phthalate (DBP). Malondialdehyde (MDA), an oxidative stress biomarker, was also measured in urine samples. We measured serum levels of fasting glucose and insulin, and derived the homeostatic model assessment (HOMA) index to assess IR. A mixed-effect model and penalized regression spline were used to estimate the associations among phthalate metabolites, MDA, and IR. Results The molar sum of MEHHP and MEOHP (∑DEHP) were significantly associated with HOMA (β = 0.26, P = 0.040), and the association was apparent among participants with a history of DM (β = 0.88, P = 0.037) and among females (β = 0.30, P = 0.022). However, the relation between MnBP and HOMA was not found. When we evaluated whether oxidative stress is involved in increases of HOMA by ∑DEHP, MDA levels were significantly associated with increases of ∑DEHP (β = 0.11, P<0.001) and HOMA (β = 0.49, P = 0.049). Conclusions Our study results suggest that exposure to DEHP in the elderly population increases IR, which is related with oxidative stress, and that participants with a history of DM and females are more susceptible to DEHP exposure.
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Affiliation(s)
- Jin Hee Kim
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
- Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hye Yin Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sanghyuk Bae
- Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Youn-Hee Lim
- Department of Epidemiology and Biostatistics, School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
- Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- * E-mail:
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Hong SB, Hong YC, Kim JW, Park EJ, Shin MS, Kim BN, Yoo HJ, Cho IH, Bhang SY, Cho SC. Bisphenol A in relation to behavior and learning of school-age children. J Child Psychol Psychiatry 2013; 54:890-9. [PMID: 23445117 DOI: 10.1111/jcpp.12050] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/13/2012] [Indexed: 11/28/2022]
Abstract
BACKGROUND Bisphenol A (BPA) has been shown to affect brain and behavior in rodents and nonhuman primates, but there are few studies focusing on its relationship to human neurobehavior. We aimed to investigate the relationship between environmental exposure to BPA and childhood neurobehavior. METHODS Urinary BPA concentrations and behavioral and learning characteristics were assessed in a general population of 1,089 children, aged 8-11 years. The main outcome measures were the Child Behavior Checklist (CBCL) and the Learning Disability Evaluation Scale (LDES). RESULTS Urinary levels of BPA were positively associated with the CBCL total problems score and negatively associated with the learning quotient from the LDES. The linear association with the CBCL anxiety/depression score and the quadratic association with the LDES listening score were significant after correction for multiple comparisons. CONCLUSIONS Environmental exposure to BPA might be associated with childhood behavioral and learning development. The results suggest possible nonmonotonic relationships.
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Affiliation(s)
- Soon-Beom Hong
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
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Lim YH, Kim H, Kim JH, Bae S, Hong YC. Effect of diurnal temperature range on cardiovascular markers in the elderly in Seoul, Korea. Int J Biometeorol 2013; 57:597-603. [PMID: 22956153 DOI: 10.1007/s00484-012-0587-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2011] [Revised: 08/13/2012] [Accepted: 08/14/2012] [Indexed: 06/01/2023]
Abstract
While diurnal temperature range (DTR) has been found to be a risk factor for mortality, evaluation of the underlying mechanisms involved in this association are lacking. To explain the association between DTR and health effects, we investigated how cardiovascular markers responded to DTR. Data was obtained from 560 participants who regularly attended a community elderly welfare center located in Seoul, Korea. Data collection was conducted a total of five times over a 3-year period beginning in August, 2008. We examined systolic and diastolic blood pressure (BP), heart rate (HR), and heart rate variability (HRV). Mixed-effects models and generalized additive mixed models were used to assess the relationship of DTR with BP, HR, and HRV. BP was not associated significantly with rapid temperature changes during the day. While HR was associated linearly with increments of DTR, the relationship between DTR and HRV showed nonlinear associations, or the presence of a cutoff around median DTR. At the cutoff level of DTR determined by an inflection point in the graph, standard deviation of normal-to-normal intervals (SDNN) and root mean square successive difference (RMSSD) were peaked, whereas the low frequency:high frequency (LF:HF) ratio was elevated with decreasing DTR below the cutoff level. The study demonstrated that HR increases with increasing temperature range during the day, and that HRV is reduced at small or large DTR, which suggests minimal cardiovascular stress around the median level of temperature range during the day.
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Affiliation(s)
- Youn-Hee Lim
- Department of Epidemiology and Biostatistics, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
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Kim Y, Ha EH, Park H, Ha M, Kim Y, Hong YC, Kim EJ, Kim BN. Erratum to: “Prenatal lead and cadmium co-exposure and infant neurodevelopment at 6 months of age: The Mothers and Children's Environmental Health (MOCEH) study” [NeuroToxicology 35 (2013) 15–22]. Neurotoxicology 2013. [DOI: 10.1016/j.neuro.2013.04.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ji K, Kim J, Lee M, Park S, Kwon HJ, Cheong HK, Jang JY, Kim DS, Yu S, Kim YW, Lee KY, Yang SO, Jhung IJ, Yang WH, Paek DH, Hong YC, Choi K. Assessment of exposure to heavy metals and health risks among residents near abandoned metal mines in Goseong, Korea. Environ Pollut 2013; 178:322-328. [PMID: 23603469 DOI: 10.1016/j.envpol.2013.03.031] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2013] [Revised: 03/15/2013] [Accepted: 03/19/2013] [Indexed: 06/02/2023]
Abstract
Metal contamination from mining activity is of great concern because of potential health risks to the local inhabitants. In the present study, we investigated the levels of Cd, Cu, As, Pb, and Zn in environmental samples and foodstuffs grown in the vicinity of the mines in Goseong, Korea, and evaluated potential health risks among local residents. Soils near the mines exceeded the soil quality standard values of Cu, As, and Zn contamination. The concentrations of Cd, Cu, Pb, and Zn in crop samples collected from the study area were significantly higher than those of the reference area. Some rice samples collected from the study area exceeded the maximum permissible level of 0.2 mg Cd/kg. The intake of rice was identified as a major contributor (≥75%) to the estimated daily intake among the residents. The average estimated daily intakes of metals were, however, below the provisional tolerable daily intake.
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Affiliation(s)
- Kyunghee Ji
- School of Public Health, Seoul National University, Gwanak, Seoul 151-742, Republic of Korea
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Choi YH, Kim JH, Hong YC. CYP1A1 genetic polymorphism and polycyclic aromatic hydrocarbons on pulmonary function in the elderly: haplotype-based approach for gene-environment interaction. Toxicol Lett 2013; 221:185-90. [PMID: 23816456 DOI: 10.1016/j.toxlet.2013.06.229] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2013] [Revised: 06/18/2013] [Accepted: 06/20/2013] [Indexed: 10/26/2022]
Abstract
Lung function may be impaired by environmental pollutants not only acting alone, but working with genetic factors as well. Few epidemiologic studies have been conducted to explore the interplay of polycyclic aromatic hydrocarbons (PAHs) exposure and genetic polymorphism on lung function in the elderly. For genetic polymorphism, haplotype is considered a more informative unit than single nucleotide polymorphism markers. Therefore, we examined the role of haplotype based-CYP1A1 polymorphism in the effect of PAHs exposure on lung function in 422 participants from a community-based panel of elderly adults in Seoul, Korea. Linear mixed effect models were fit to evaluate the association of PAH exposure markers (urinary 1-hydroxypyrene and 2-naphthol) with FVC, FEV₁, FEV₁/FVC, and FEF₂₅₋₇₅, and then the interaction with CYP1A1 haplotype constructed from three single nucleotide polymorphisms of the gene (rs4646421/rs4646422/rs1048943). Urinary 1-hydroxypyrene levels were inversely associated with FEV₁/FVC (p<0.05), whereas urinary 2-naphthol levels failed to show associations with lung function. Urinary 1-hydroxypyrene was significantly associated with decrease in FEV₁/FVC among participants with rs4646421 variants (CT+TT), rs4646422 wild-type (GG), and rs1048943 wild-type (AA). At least one TGA haplotype predicted a 0.88% (95% confidence interval, 0.31-1.45%) reduction in FEV₁/FVC with an interquartile range increase in 1-hydroxypyrene, whereas no relationship was observed in participants without TGA haplotype (p for interaction=0.045). Similar patterns were also observed in FEF₂₅₋₇₅. We did not find any main effects of CYP1A1 genetic polymorphisms on lung functions. Our findings suggest that PAH exposure producing 1-hydroxypyrene as a metabolite compromises lung function in the elderly, and that haplotype-based CYP1A1 polymorphism modifies the risk.
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Affiliation(s)
- Yoon-Hyeong Choi
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 110-799, Republic of Korea
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Kim JH, Park K, Yim SH, Choi JE, Sung JS, Park JY, Choi YY, Jeon HS, Park JY, Yoon HK, Kim YH, Yoo BS, Kim YT, Hu HJ, Chung YJ, Kim H, Sung SW, Hong YC. Genome-wide association study of lung cancer in Korean non-smoking women. J Korean Med Sci 2013; 28:840-7. [PMID: 23772147 PMCID: PMC3677999 DOI: 10.3346/jkms.2013.28.6.840] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Accepted: 04/16/2013] [Indexed: 11/20/2022] Open
Abstract
Lung cancer in never-smokers ranks as the seventh most common cause of cancer death worldwide, and the incidence of lung cancer in non-smoking Korean women appears to be steadily increasing. To identify the effect of genetic polymorphisms on lung cancer risk in non-smoking Korean women, we conducted a genome-wide association study of Korean female non-smokers with lung cancer. We analyzed 440,794 genotype data of 285 cases and 1,455 controls, and nineteen SNPs were associated with lung cancer development (P < 0.001). For external validation, nineteen SNPs were replicated in another sample set composed of 293 cases and 495 controls, and only rs10187911 on 2p16.3 was significantly associated with lung cancer development (dominant model, OR of TG or GG, 1.58, P = 0.025). We confirmed this SNP again in another replication set composed of 546 cases and 744 controls (recessive model, OR of GG, 1.32, P = 0.027). OR and P value in combined set were 1.37 and < 0.001 in additive model, 1.51 and < 0.001 in dominant model, and 1.54 and < 0.001 in recessive model. The effect of this SNP was found to be consistent only in adenocarcinoma patients (1.36 and < 0.001 in additive model, 1.49 and < 0.001 in dominant model, and 1.54 and < 0.001 in recessive model). Furthermore, after imputation with HapMap data, we found regional significance near rs10187911, and five SNPs showed P value less than that of rs10187911 (rs12478012, rs4377361, rs13005521, rs12475464, and rs7564130). Therefore, we concluded that a region on chromosome 2 is significantly associated with lung cancer risk in Korean non-smoking women.
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Affiliation(s)
- Jin Hee Kim
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Kyunghee Park
- Department of Epidemiology and Biostatistics, Seoul National University School of Public Health, Seoul, Korea
| | - Seon-Hee Yim
- Department of Medical Humanities and Social Sciences, The Catholic University of Korea College of Medicine, Seoul, Korea
- Integrated Research Center for Genome Polymorphism, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Jin Eun Choi
- Department of Biochemistry, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Jae Sook Sung
- Genomic Research Center for Lung and Breast/Ovarian Cancers, Korea University Anam Hospital, Seoul, Korea
- Division of Oncology/Hematology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Korea
| | - Ju-Yeon Park
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea
- Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Yi Young Choi
- Department of Biochemistry, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Hyo-Sung Jeon
- Department of Biochemistry, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Jae Yong Park
- Department of Biochemistry, School of Medicine, Kyungpook National University, Daegu, Korea
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Hyoung Kyu Yoon
- Division of Pulmonary and Critical Care, Department of Internal Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Yeul Hong Kim
- Genomic Research Center for Lung and Breast/Ovarian Cancers, Korea University Anam Hospital, Seoul, Korea
- Division of Oncology/Hematology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Korea
| | - Byung Su Yoo
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea
- Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea
- Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Hae-Jin Hu
- Integrated Research Center for Genome Polymorphism, The Catholic University of Korea College of Medicine, Seoul, Korea
- Department of Microbiology, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Yeun-Jun Chung
- Integrated Research Center for Genome Polymorphism, The Catholic University of Korea College of Medicine, Seoul, Korea
- Department of Microbiology, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Ho Kim
- Department of Epidemiology and Biostatistics, Seoul National University School of Public Health, Seoul, Korea
| | - Sook Whan Sung
- Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea
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Hwang JY, Lee JY, Kim KN, Kim H, Ha EH, Park H, Ha M, Kim Y, Hong YC, Chang N. Maternal iron intake at mid-pregnancy is associated with reduced fetal growth: results from Mothers and Children's Environmental Health (MOCEH) study. Nutr J 2013; 12:38. [PMID: 23547877 PMCID: PMC3653712 DOI: 10.1186/1475-2891-12-38] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2012] [Accepted: 03/21/2013] [Indexed: 11/18/2022] Open
Abstract
Background Iron supplementation is a common recommendation for pregnant women to prevent iron deficiency during pregnancy. There is an increasing concern about excessive iron consumption as a general iron prophylaxis by pregnant women without any due consideration about their dietary iron intake or iron status. Our present study investigated the association between total iron intake from diet and supplements and fetal growth in 337 pregnant women at mid-pregnancy in South Korea. Methods Iron intake from diet and supplements was examined by a 24-hour recall method. Subjects were divided into three groups based on tertiles of total iron intake levels. Fetal biometry was assessed by ultrasonography at mid-pregnancy. Results About 99% of the non-supplement users had iron intake below the recommended nutrient intake (RNI) for pregnant women (24 mg), whereas 64.9% of supplement users had iron intake above the upper level (UL) (45 mg). In the babies of mothers in the third tertile of iron intake (>17.04 mg), biparietal diameter, abdominal circumference, and femur length were lower by 0.41 cm (P =0.019), 0.41 cm (P = 0.027), and 0.07 cm (P = 0.051), respectively, than the babies of mothers in the second tertile of iron intake (11.49 ~ 17.04 mg). Conclusion These results suggest that excessive maternal iron intake at mid-pregnancy is associated with reduced fetal growth. Iron supplementation for pregnant women should be individualized according to their iron status. Appropriate diet education is needed for pregnant women so that they can consume adequate amounts of iron from food and supplements.
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Kim JH, Jeong KS, Ha EH, Park H, Ha M, Hong YC, Lee SJ, Lee KY, Jeong J, Kim Y. Association between prenatal exposure to cadmium and atopic dermatitis in infancy. J Korean Med Sci 2013; 28:516-21. [PMID: 23580123 PMCID: PMC3617302 DOI: 10.3346/jkms.2013.28.4.516] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2012] [Accepted: 01/21/2013] [Indexed: 11/29/2022] Open
Abstract
Our objective was to evaluate the relationship between intrauterine exposure to cadmium and the presence of atopic dermatitis in infants 6 months of age, adjusted for covariates including exposure to other heavy metals. The present research is a component of the Mothers' and Children's Environmental Health (MOCEH) study, a multi-center birth cohort project conducted in Korea. Study subjects were restricted to pregnant women in whom cadmium and lead levels were measured at delivery and whose infants were assessed for the presence of atopic disease at 6 months of age. The odds ratio (OR) for the presence of atopic dermatitis in 6-month-old infants whose cord blood had elevated cadmium levels, after adjustment for other covariates, was 2.350 (95% CI, 1.126-4.906). The OR for the presence of atopic dermatitis in infants whose cord blood had elevated lead levels was not significant. In the present study, the cord blood cadmium level was significantly associated with the presence of atopic dermatitis in 6-month-old infants; this was not true of the cord blood lead level. To the best of our knowledge, this is the first prospective study to show a relationship between prenatal exposure to cadmium and atopic dermatitis in infancy.
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Affiliation(s)
- Ja Hyeong Kim
- Department of Pediatrics, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea
| | - Kyoung Sook Jeong
- Department of Occupational and Environmental Medicine, Dongguk University-Seoul, Graduate School of Medicine, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Eun-Hee Ha
- Department of Preventive Medicine, School of Medicine, Ewha Womans University, Seoul, Korea
- Medical Research Institute, Ewha Global Challenge Center, Ewha Womans University, Seoul, Korea
| | - Hyesook Park
- Department of Preventive Medicine, School of Medicine, Ewha Womans University, Seoul, Korea
- Medical Research Institute, Ewha Global Challenge Center, Ewha Womans University, Seoul, Korea
| | - Mina Ha
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Soo-Jeong Lee
- Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea
| | - Kyung Yeon Lee
- Department of Pediatrics, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea
| | - Joseph Jeong
- Department of Laboratory Medicine, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea
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Park HY, Kim JH, Lim YH, Bae S, Hong YC. Influence of genetic polymorphisms on the association between phthalate exposure and pulmonary function in the elderly. Environ Res 2013; 122:18-24. [PMID: 23261794 DOI: 10.1016/j.envres.2012.11.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2012] [Revised: 11/07/2012] [Accepted: 11/13/2012] [Indexed: 06/01/2023]
Abstract
BACKGROUND Phthalates are prevalent environmental exposure chemicals with rising concern on various health effects, including pulmonary function. Meanwhile, elderly people are more susceptible to environmental exposure, and their decreasing lung function is an important health issue. OBJECTIVES To investigate the association between urinary phthalate metabolite levels and indices for pulmonary function, and evaluate effect modification by genetic polymorphisms of oxidative-stress related genes, catalase (CAT), superoxide dismutase (SOD2), and myeloperoxidase (MPO) in elderly Koreans. METHODS We conducted a panel study on 418 individuals over 60 years old in Seoul, Korea, and repeatedly measured urinary phthalate metabolite levels and ran pulmonary function tests. Genetic polymorphisms of CAT (rs769218, rs769217), SOD2 (rs4880, rs2758331, rs5746136) and MPO (rs2071409, rs7208693) were determined. Mixed effect model was used to investigate association of phthalate levels with pulmonary function indices and to examine the effect of CAT, SOD2 and MPO polymorphisms on the association. RESULTS Inverse association was demonstrated between sum of mono-(2-ethyl-5-hydroxyhexyl) phthalate and mono-(2-ethyl-5-oxohexyl) phthalate (∑DEHP) levels and FEV1/FVC (β=-0.632, p=0.0275) or FEF25-75 (β=-0.077, p=0.025) after adjusting for age, months after previous measurements, sex, body mass index, cotinine, mean temperature and dew point. The effect of ∑DEHP on lung function was significant only in subjects with certain genotypes, and having all significant genotypes in three genes showed significant difference in the phthalate-pulmonary function association (FEV1/FVC: β=-2.169, p=0.0032; FEF25-75: β=-0.155, p=0.0103), while other combinations showed less estimate size without any significance. CONCLUSIONS Urinary phthalate metabolites levels are associated with decreasing pulmonary function in elderly Koreans, and effect modification of certain CAT, SOD2 and MPO polymorphisms on the association is suggested.
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Affiliation(s)
- Hye Yin Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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Byun YH, Ha M, Kwon HJ, Hong YC, Leem JH, Sakong J, Kim SY, Lee CG, Kang D, Choi HD, Kim N. Mobile phone use, blood lead levels, and attention deficit hyperactivity symptoms in children: a longitudinal study. PLoS One 2013; 8:e59742. [PMID: 23555766 PMCID: PMC3605379 DOI: 10.1371/journal.pone.0059742] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Accepted: 02/21/2013] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Concerns have developed for the possible negative health effects of radiofrequency electromagnetic field (RF-EMF) exposure to children's brains. The purpose of this longitudinal study was to investigate the association between mobile phone use and symptoms of Attention Deficit Hyperactivity Disorder (ADHD) considering the modifying effect of lead exposure. METHODS A total of 2,422 children at 27 elementary schools in 10 Korean cities were examined and followed up 2 years later. Parents or guardians were administered a questionnaire including the Korean version of the ADHD rating scale and questions about mobile phone use, as well as socio-demographic factors. The ADHD symptom risk for mobile phone use was estimated at two time points using logistic regression and combined over 2 years using the generalized estimating equation model with repeatedly measured variables of mobile phone use, blood lead, and ADHD symptoms, adjusted for covariates. RESULTS The ADHD symptom risk associated with mobile phone use for voice calls but the association was limited to children exposed to relatively high lead. CONCLUSIONS The results suggest that simultaneous exposure to lead and RF from mobile phone use was associated with increased ADHD symptom risk, although possible reverse causality could not be ruled out.
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Affiliation(s)
- Yoon-Hwan Byun
- Department of Medicine, Dankook University College of Medicine, Cheonan, Korea
| | - Mina Ha
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Korea
- Environmental Health Center, Dankook University Medical Center, Cheonan, Korea
- * E-mail:
| | - Ho-Jang Kwon
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Korea
- Environmental Health Center, Dankook University Medical Center, Cheonan, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jong-Han Leem
- Department of Occupational and Environmental Medicine, Inha University College of Medicine, Incheon, Korea
| | - Joon Sakong
- Department of Preventive Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Su Young Kim
- Department of Preventive Medicine, Cheju National University College of Medicine, Jeju, Korea
| | - Chul Gab Lee
- Department of Occupational Medicine, Chosun University School of Medicine, Gwangju, Korea
| | - Dongmug Kang
- Department of Occupational Medicine, Busan National University School of Medicine, Busan, Korea
| | - Hyung-Do Choi
- Radio Technology Research Department, Electronics and Telecommunication Research Institute, Daejeon, Korea
| | - Nam Kim
- School of Information and Communication Engineering, Chungbuk National University College of Electrical and Computer Engineering, Cheongju, Korea
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Kim Y, Ha EH, Park H, Ha M, Kim Y, Hong YC, Kim EJ, Kim BN. Prenatal lead and cadmium co-exposure and infant neurodevelopment at 6 months of age: The Mothers and Children's Environmental Health (MOCEH) study. Neurotoxicology 2013; 35:15-22. [DOI: 10.1016/j.neuro.2012.11.006] [Citation(s) in RCA: 80] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2012] [Revised: 11/26/2012] [Accepted: 11/26/2012] [Indexed: 01/03/2023]
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Kim H, Kim KN, Hwang JY, Ha EH, Park H, Ha M, Kim Y, Hong YC, Chang N. Relation between serum folate status and blood mercury concentrations in pregnant women. Nutrition 2013; 29:514-8. [DOI: 10.1016/j.nut.2012.08.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Revised: 08/26/2012] [Accepted: 08/26/2012] [Indexed: 11/29/2022]
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Kim JH, Jeong KS, Ha EH, Park HS, Ha MN, Hong YC, Bhang SY, Lee SJ, Lee KY, Lee SH, Kim YH, Lee JS, Jung JA, Chang NS. Relationship Between Maternal Mid Pregnancy Folate Levels and the Risk of Allergic and Respiratory Diseases in Early Childhood: The Mothers and Children's Environmental Health (MOCEH) Study. J Allergy Clin Immunol 2013. [DOI: 10.1016/j.jaci.2012.12.1383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Hong SB, Kim JW, Shin MS, Hong YC, Park EJ, Kim BN, Yoo HJ, Cho IH, Bhang SY, Cho SC. Impact of family environment on the development of tic disorders: epidemiologic evidence for an association. Ann Clin Psychiatry 2013; 25:50-8. [PMID: 23376870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
BACKGROUND Although family education generally is recommended in the treatment of tic disorders, few studies have focused on the relationship between family environment and diagnosis of tic disorders. METHODS Presence of DSM-IV tic disorders was determined in a general population of 921 children in Korea from 2008 to 2009. Clinical risk factors were assessed, including comorbidity with attention-deficit/hyperactivity disorder; family-related factors such as the number of family members and primary caretaker of the child; and socioeconomic factors in the form of paternal education level and household yearly income. Multivariable logistic regression analyses were performed to estimate the association between a list of clinical, familial, and social variables and the odds of developing tic disorders. RESULTS At Bonferroni corrected thresholds, a higher risk of tic disorders was significantly associated with the number of changes in primary caretaker, whereas a lower risk was associated with increasing number of children in the family. CONCLUSIONS Family-related environmental factors may play a role in the development or exacerbation of tic disorders. The results advocate the importance of family education when treating children with tic disorders, and further research is needed on the contextual risk factors of tic disorders.
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Affiliation(s)
- Soon-Beom Hong
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Republic of Korea
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