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504 results on '"Laden F"'

1. Residential greenness: current perspectives on its impact on maternal health and pregnancy outcomes

Author

Banay RF, Bezold CP, James P, Hart JE, and Laden F

Subjects
Greenness, green space, birth outcomes, prenatal health, infant health, Gynecology and obstetrics, RG1-991
Abstract

Rachel F Banay,1,* Carla P Bezold,2,* Peter James,1–3 Jaime E Hart,1,3 Francine Laden1–3 1Department of Environmental Health, 2Department of Epidemiology, Harvard T.H. Chan School of Public Health, 3Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA *These authors contributed equally to this work Abstract: Recent research in environmental epidemiology has attempted to estimate the effects of exposure to nature, often operationalized as vegetation, on health. Although many analyses have focused on vegetation or greenness with regard to physical activity and weight status, an incipient area of interest concerns maternal health and birth outcomes. This paper reviews 14 studies that examined the association between greenness and maternal or infant health. Most studies were cross-sectional and conducted in birth cohorts. Several studies found evidence for positive associations between greenness and birth weight and maternal peripartum depression. Few studies found evidence for an association between greenness and gestational age or other birth outcomes, or between greenness and preeclampsia or gestational diabetes. Several assessed effect modification by individual or area-level socioeconomic status and found that effects were stronger among those of lower socioeconomic status. Few studies conducted mediation analyses of any kind. Future research should include more diverse birth outcomes and focus on maternal health (especially mental health) and capitalize on richer exposure information during pregnancy rather than cross-sectional assessment at birth. Keywords: greenness, green space, birth outcomes, prenatal health, infant health

Published
2017

2. Postnatal exposure to PM2.5 and weight trajectories in early childhood

Author

Vanoli, J, Coull, B, Ettinger de Cuba, S, Fabian, P, Carnes, F, Massaro, M, Poblacion, A, Bellocco, R, Kloog, I, Schwartz, J, Laden, F, Zanobetti, A, Vanoli J., Coull B. A., Ettinger de Cuba S., Fabian P. M., Carnes F., Massaro M. A., Poblacion A., Bellocco R., Kloog I., Schwartz J., Laden F., Zanobetti A., Vanoli, J, Coull, B, Ettinger de Cuba, S, Fabian, P, Carnes, F, Massaro, M, Poblacion, A, Bellocco, R, Kloog, I, Schwartz, J, Laden, F, Zanobetti, A, Vanoli J., Coull B. A., Ettinger de Cuba S., Fabian P. M., Carnes F., Massaro M. A., Poblacion A., Bellocco R., Kloog I., Schwartz J., Laden F., and Zanobetti A.

Abstract

Background: Inconsistent evidence has assessed the impact of air pollution exposure on children’s growth trajectories. We investigated the role of 90-day average postnatal fine particulate matter (PM2.5) exposures by estimating the magnitude of effects at different ages, and the change in child weight trajectory by categories of exposure. Methods: We obtained weight values from electronic health records at each hospital visit (males = 1859, females = 1601) from birth to 6 years old children recruited into the Boston-based Children’s HealthWatch cohort (2009–2014). We applied mixed models, adjusting for individual and maternal confounders using (1) varying-coefficient models allowing for smooth non-linear interaction between age and PM2.5, (2) factor-smooth interaction between age and PM2.5 quartiles. Additionally, we stratified by sex and low birthweight (LBW) status (≤2500 g). Results: Using varying-coefficient models, we found that PM2.5 significantly modified the association between age and weight in males, with a positive association in children younger than 3 years and a negative association afterwards. In boys, for each 10 µg/m3 increase in PM2.5 we found a 2.6% increase (95% confidence interval = 0.8, 4.6) in weight at 1 year of age and a −0.6% (95% confidence interval = −3.9, 2.9) at 5 years. We found similar but smaller changes in females, and no differences comparing growth trajectories across quartiles of PM2.5. Most of the effects were in LBW children and null for normal birthweight children. Conclusions: This study suggests that medium-term postnatal PM2.5 may modify weight trajectories nonlinearly in young children, and that LBW babies are more susceptible than normal-weight infants.

Published
2022

22. A Tale of Six Cities

Author

Laden F

Subjects
Global and Planetary Change, Geography, Landmark, Epidemiology, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Ancient history, Pollution
Published
2019

23. Effect modification of the association of indoor black carbon exposures and oxidative stress in patients with COPD

Author

Stephanie T. Grady, Laden F, Jaime E. Hart, Kang Cm, Schwartz Jd, Koutrakis P, Junfeng Jim Zhang, Garshick E, Moy Ml, and Coull B

Subjects
Global and Planetary Change, medicine.medical_specialty, COPD, Epidemiology, business.industry, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Carbon black, medicine.disease, medicine.disease_cause, Pollution, Gastroenterology, Internal medicine, medicine, In patient, business, Effect modification, Oxidative stress
Published
2019

29. Using MapMyFitness to place physical activity into neighborhood context

Author

Robinson, J.R.M., Hirsch, J.A., Evenson, K.R., Conley, K.D., Eastman, K.M., Laden, F., and James, P.

Abstract

It is difficult to obtain detailed information on the context of physical activity at large geographic scales, such as the entire United States, as well as over long periods of time, such as over years. MapMyFitness is a suite of interactive tools for individuals to track theirworkouts online or using global positioning system in their phones or other wireless trackers. This method article discusses the use of physical activity data tracked using MapMyFitness to examine patterns over space and time. An overview of MapMyFitness, including data tracked, user information, and geographic scope, is explored. We illustrate the utility of MapMyFitness data using tracked physical activity by users in Winston-Salem, NC, USA between 2006 and 2013. Types of physical activities tracked are described, as well as the percent of activities occurring in parks. Strengths of MapMyFitness data include objective data collection, low participant burden, extensive geographic scale, and longitudinal series. Limitations include generalizability, behavioral change as the result of technology use, and potential ethical considerations. MapMyFitness is a powerful tool to investigate patterns of physical activity across large geographic and temporal scales.

Published
2014
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30. IARC monographs: 40 years of evaluating carcinogenic hazards to humans

Author

Pearce, N., Blair, A., Vineis, P., Ahrens, W., Andersen, A., Anto, J., Armstrong, B., Baccarelli, A., Beland, F., Berrington, A., Bertazzi, P., Birnbaum, L., Brownson, R., Bucher, J., Cantor, K., Cardis, E., Cherrie, J., Christiani, D., Cocco, P., Coggon, D., Comba, P., Demers, P., Dement, J., Douwes, J., Eisen, E., Engel, L., Fenske, R., Fleming, L., Fletcher, T., Fontham, E., Forastiere, F., Frentzel-Beyme, R., Fritschi, Lin, Gerin, M., Goldberg, M., Grandjean, P., Grimsrud, T., Gustavsson, P., Haines, A., Hartge, P., Hansen, J., Hauptmann, M., Heederik, D., Hemminki, K., Hemon, D., Hertz-Picciotto, I., Hoppin, J., Huff, J., Jarvholm, B., Kang, D., Karagas, M., Kjaerheim, K., Kjuus, H., Kogevinas, M., Kriebel, D., Kristensen, P., Kromhout, H., Laden, F., Lebailly, P., Lemasters, G., Lubin, J., Lynch, C., Lynge, E., Mannetje, A., McMichael, A., McLaughlin, J., Marrett, L., Martuzzi, M., Merchant, J., Merler, E., Merletti, F., Miller, A., Mirer, F., Monson, R., Nordby, K., Olshan, A., Parent, M., Perera, F., Perry, M., Pesatori, A., Pirastu, R., Porta, M., Pukkala, E., Rice, C., Richardson, D., Ritter, L., Ritz, B., Ronckers, C., Rushton, L., Rusiecki, J., Rusyn, I., Samet, J., Sandler, D., de Sanjose, S., Schernhammer, E., Costantini, A., Seixas, N., Shy, C., Siemiatycki, J., Silverman, D., Simonato, L., Smith, A., Smith, M., Spinelli, J., Spitz, M., Stallones, L., Stayner, L., Steenland, K., Stenzel, M., Stewart, B., Stewart, P., Symanski, E., Terracini, B., Tolbert, P., Vainio, H., Vena, J., Vermeulen, R., Victora, C., Ward, E., Weinberg, C., Weisenburger, D., Wesseling, C., Weiderpass, E., Zahm, S., Pearce, N., Blair, A., Vineis, P., Ahrens, W., Andersen, A., Anto, J., Armstrong, B., Baccarelli, A., Beland, F., Berrington, A., Bertazzi, P., Birnbaum, L., Brownson, R., Bucher, J., Cantor, K., Cardis, E., Cherrie, J., Christiani, D., Cocco, P., Coggon, D., Comba, P., Demers, P., Dement, J., Douwes, J., Eisen, E., Engel, L., Fenske, R., Fleming, L., Fletcher, T., Fontham, E., Forastiere, F., Frentzel-Beyme, R., Fritschi, Lin, Gerin, M., Goldberg, M., Grandjean, P., Grimsrud, T., Gustavsson, P., Haines, A., Hartge, P., Hansen, J., Hauptmann, M., Heederik, D., Hemminki, K., Hemon, D., Hertz-Picciotto, I., Hoppin, J., Huff, J., Jarvholm, B., Kang, D., Karagas, M., Kjaerheim, K., Kjuus, H., Kogevinas, M., Kriebel, D., Kristensen, P., Kromhout, H., Laden, F., Lebailly, P., Lemasters, G., Lubin, J., Lynch, C., Lynge, E., Mannetje, A., McMichael, A., McLaughlin, J., Marrett, L., Martuzzi, M., Merchant, J., Merler, E., Merletti, F., Miller, A., Mirer, F., Monson, R., Nordby, K., Olshan, A., Parent, M., Perera, F., Perry, M., Pesatori, A., Pirastu, R., Porta, M., Pukkala, E., Rice, C., Richardson, D., Ritter, L., Ritz, B., Ronckers, C., Rushton, L., Rusiecki, J., Rusyn, I., Samet, J., Sandler, D., de Sanjose, S., Schernhammer, E., Costantini, A., Seixas, N., Shy, C., Siemiatycki, J., Silverman, D., Simonato, L., Smith, A., Smith, M., Spinelli, J., Spitz, M., Stallones, L., Stayner, L., Steenland, K., Stenzel, M., Stewart, B., Stewart, P., Symanski, E., Terracini, B., Tolbert, P., Vainio, H., Vena, J., Vermeulen, R., Victora, C., Ward, E., Weinberg, C., Weisenburger, D., Wesseling, C., Weiderpass, E., and Zahm, S.

Abstract

Background: Recently, the International Agency for Research on Cancer (IARC) Programme for the Evaluation of Carcinogenic Risks to Humans has been criticized for several of its evaluations, and also for the approach used to perform these evaluations. Some critics have claimed that failures of IARC Working Groups to recognize study weaknesses and biases of Working Group members have led to inappropriate classification of a number of agents as carcinogenic to humans. oBjectives: The authors of this Commentary are scientists from various disciplines relevant to the identification and hazard evaluation of human carcinogens. We examined criticisms of the IARC classification process to determine the validity of these concerns. Here, we present the results of that examination, review the history of IARC evaluations, and describe how the IARC evaluations are performed. discussion: We concluded that these recent criticisms are unconvincing. The procedures employed by IARC to assemble Working Groups of scientists from the various disciplines and the techniques followed to review the literature and perform hazard assessment of various agents provide a balanced evaluation and an appropriate indication of the weight of the evidence. Some disagreement by individual scientists to some evaluations is not evidence of process failure. The review process has been modified over time and will undoubtedly be altered in the future to improve the process. Any process can in theory be improved, and we would support continued review and improvement of the IARC processes. This does not mean, however, that the current procedures are flawed. conclusions: The IARC Monographs have made, and continue to make, major contributions to the scientific underpinning for societal actions to improve the public’s health.

Published
2015

31. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

Berndt, S.I., Skibola, C.F., Joseph, V., Camp, N.J., Nieters, A., Wang, Z., Cozen, W., Monnereau, A., Wang, S.S., Kelly, R.S., Lan, Q., Teras, L.R., Chatterjee, N., Chung, C.C., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Armstrong, B.K., Cocco, P., Zhang, Y., Severi, G., Zeleniuch-Jacquotte, A., Lawrence, C., Burdette, L., Yuenger, J., Hutchinson, A., Jacobs, K.B., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Wang, A.H., Smedby, K.E., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Jones, B., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Holly, E.A., Smith, M.T., Jackson, R.D., Tinker, L.F., Benavente, Y., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Rabe, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Lanasa, M.C., Spector, L.G., Leis, J.F., Cunningham, J.M., Weinberg, J.B., Morrison, V.A., Caporaso, N.E., Norman, A.D., Linet, M.S., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Giles, G.G., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Offit, K., Zelenetz, A., Klein, R.J., Spinelli, J.J., Bertrand, K.A., Laden, F., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Vajdic, C.M., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Sampson, J., Crouch, S., Park, J.-H., North, K.E., Cox, A., Snowden, J.A., Wright, J., Carracedo, A., Lopez-Otin, C., Bea, S., Salaverria, I., Martin-Garcia, D., Campo, E., Jr, F.J.F., de Sanjose, S., Hjalgrim, H., Cerhan, J.R., Chanock, S.J., Rothman, N., and Slager, S.L.

Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P = 1.22 × 10−14), 18q21.33 (BCL2, P = 7.76 × 10−11), 11p15.5 (C11orf21, P = 2.15 × 10−10), 4q25 (LEF1, P = 4.24 × 10−10), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P = 2.50 × 10−9), 9p21.3 (CDKN2B-AS1, P = 1.27 × 10−8), 18q21.32 (PMAIP1, P = 2.51 × 10−8), 15q15.1 (BMF, P = 2.71 × 10−10) and 2p22.2 (QPCT, P = 1.68 × 10−8), as well as an independent signal at an established locus (2q13, ACOXL, P = 2.08 × 10−18). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P = 5.40 × 10−8) and 5p15.33 (TERT, P = 1.92 × 10−7). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

Published
2013

32. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

Author

Cerhan, JR, Berndt, SI, Vijai, J, Ghesquieres, H, McKay, J, Wang, SS, Wang, Z, Yeager, M, Conde, L, de Bakker, PIW, Nieters, A, Cox, D, Burdett, L, Monnereau, A, Flowers, CR, De Roos, AJ, Brooks-Wilson, AR, Lan, Q, Severi, G, Melbye, M, Gu, J, Jackson, RD, Kane, E, Teras, LR, Purdue, MP, Vajdic, CM, Spinelli, JJ, Giles, GG, Albanes, D, Kelly, RS, Zucca, M, Bertrand, KA, Zeleniuch-Jacquotte, A, Lawrence, C, Hutchinson, A, Zhi, D, Habermann, TM, Link, BK, Novak, AJ, Dogan, A, Asmann, YW, Liebow, M, Thompson, CA, Ansell, SM, Witzig, TE, Weiner, GJ, Veron, AS, Zelenika, D, Tilly, H, Haioun, C, Molina, TJ, Hjalgrim, H, Glimelius, B, Adami, H-O, Bracci, PM, Riby, J, Smith, MT, Holly, EA, Cozen, W, Hartge, P, Morton, LM, Severson, RK, Tinker, LF, North, KE, Becker, N, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Staines, A, Lightfoot, T, Crouch, S, Smith, A, Roman, E, Diver, WR, Offit, K, Zelenetz, A, Klein, RJ, Villano, DJ, Zheng, T, Zhang, Y, Holford, TR, Kricker, A, Turner, J, Southey, MC, Clavel, J, Virtamo, J, Weinstein, S, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Vermeulen, RCH, Boeing, H, Tjonneland, A, Angelucci, E, Di Lollo, S, Rais, M, Birmann, BM, Laden, F, Giovannucci, E, Kraft, P, Huang, J, Ma, B, Ye, Y, Chiu, BCH, Sampson, J, Liang, L, Park, J-H, Chung, CC, Weisenburger, DD, Chatterjee, N, Fraumeni, JF, Slager, SL, Wu, X, de Sanjose, S, Smedby, KE, Salles, G, Skibola, CF, Rothman, N, Chanock, SJ, Cerhan, JR, Berndt, SI, Vijai, J, Ghesquieres, H, McKay, J, Wang, SS, Wang, Z, Yeager, M, Conde, L, de Bakker, PIW, Nieters, A, Cox, D, Burdett, L, Monnereau, A, Flowers, CR, De Roos, AJ, Brooks-Wilson, AR, Lan, Q, Severi, G, Melbye, M, Gu, J, Jackson, RD, Kane, E, Teras, LR, Purdue, MP, Vajdic, CM, Spinelli, JJ, Giles, GG, Albanes, D, Kelly, RS, Zucca, M, Bertrand, KA, Zeleniuch-Jacquotte, A, Lawrence, C, Hutchinson, A, Zhi, D, Habermann, TM, Link, BK, Novak, AJ, Dogan, A, Asmann, YW, Liebow, M, Thompson, CA, Ansell, SM, Witzig, TE, Weiner, GJ, Veron, AS, Zelenika, D, Tilly, H, Haioun, C, Molina, TJ, Hjalgrim, H, Glimelius, B, Adami, H-O, Bracci, PM, Riby, J, Smith, MT, Holly, EA, Cozen, W, Hartge, P, Morton, LM, Severson, RK, Tinker, LF, North, KE, Becker, N, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Staines, A, Lightfoot, T, Crouch, S, Smith, A, Roman, E, Diver, WR, Offit, K, Zelenetz, A, Klein, RJ, Villano, DJ, Zheng, T, Zhang, Y, Holford, TR, Kricker, A, Turner, J, Southey, MC, Clavel, J, Virtamo, J, Weinstein, S, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Vermeulen, RCH, Boeing, H, Tjonneland, A, Angelucci, E, Di Lollo, S, Rais, M, Birmann, BM, Laden, F, Giovannucci, E, Kraft, P, Huang, J, Ma, B, Ye, Y, Chiu, BCH, Sampson, J, Liang, L, Park, J-H, Chung, CC, Weisenburger, DD, Chatterjee, N, Fraumeni, JF, Slager, SL, Wu, X, de Sanjose, S, Smedby, KE, Salles, G, Skibola, CF, Rothman, N, and Chanock, SJ

Abstract

Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.

Published
2014

33. Spatial modeling of PM10 and NO2 in the continental United States, 1985-2000

Author

Hart, JE, Yanosky, JD, Puett, RC, Ryan, L, Dockery, DW, Smith, TJ, Garshick, E, and Laden, F

Subjects
Air Pollutants, Inhalation Exposure, Models, Statistical, Time Factors, Nitrogen Dioxide, Toxicology, United States, Air Pollution, Epidemiological Monitoring, Humans, Regression Analysis, Particulate Matter, Particle Size, Retrospective Studies, Vehicle Emissions, Environmental Monitoring, Power Plants
Abstract

BACKGROUND: Epidemiologic studies of air pollution have demonstrated a link between long-term air pollution exposures and mortality. However, many have been limited to city-specific average pollution measures or spatial or land-use regression exposure models in small geographic areas. OBJECTIVES: Our objective was to develop nationwide models of annual exposure to particulate matter < 10 μm in diameter (PM10) and nitrogen dioxide during 1985-2000. METHODS: We used generalized additive models (GAMs) to predict annual levels of the pollutants using smooth spatial surfaces of available monitoring data and geographic information system-derived covariates. Model performance was determined using a cross-validation (CV) procedure with 10% of the data. We also compared the results of these models with a commonly used spatial interpolation, inverse distance weighting. RESULTS: For PM10, distance to road, elevation, proportion of low-intensity residential, high-intensity residential, and industrial, commercial, or transportation land use within 1 km were all statistically significant predictors of measured PM10 (model R2 = 0.49, CV R2 = 0.55). Distance to road, population density, elevation, land use, and distance to and emissions of the nearest nitrogen oxides-emitting power plant were all statistically significant predictors of measured NO2 (model R2 = 0.88, CV R2 = 0.90). The GAMs performed better overall than the inverse distance models, with higher CV R2 and higher precision. CONCLUSIONS: These models provide reasonably accurate and unbiased estimates of annual exposures for PM10 and NO2. This approach provides the spatial and temporal variability necessary to describe exposure in studies assessing the health effects of chronic air pollution.

Published
2009

34. Urinary naphthalene and phenanthrene as biomarkers of occupational exposure to polycyclic aromatic hydrocarbons

Author

Rappaport, S. M., McClean, M. D., Laden, F., Zheng, Y., Garshick, E., Smith, T. J., Waidyanatha, S., Sobus, J. R., Hart, J. E., and Herrick, R. F.

Subjects
musculoskeletal, neural, and ocular physiology, fungi, mental disorders, human activities, psychological phenomena and processes
Abstract

We investigated the utility of unmetabolized naphthalene (Nap) and phenanthrene (Phe) in urine as surrogates for exposures to mixtures of polycyclic aromatic hydrocarbons (PAHs).

Published
2008
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37. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

Berndt, SI, Skibola, CF, Joseph, V, Camp, NJ, Nieters, A, Wang, Z, Cozen, W, Monnereau, A, Wang, SS, Kelly, RS, Lan, Q, Teras, LR, Chatterjee, N, Chung, CC, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Armstrong, BK, Cocco, P, Zhang, Y, Severi, G, Zeleniuch-Jacquotte, A, Lawrence, C, Burdette, L, Yuenger, J, Hutchinson, A, Jacobs, KB, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Wang, AH, Smedby, KE, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Jones, B, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Holly, EA, Smith, MT, Jackson, RD, Tinker, LF, Benavente, Y, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Rabe, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Lanasa, MC, Spector, LG, Leis, JF, Cunningham, JM, Weinberg, JB, Morrison, VA, Caporaso, NE, Norman, AD, Linet, MS, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Giles, GG, Albanes, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Offit, K, Zelenetz, A, Klein, RJ, Spinelli, JJ, Bertrand, KA, Laden, F, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Vajdic, CM, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Sampson, J, Crouch, S, Park, J-H, North, KE, Cox, A, Snowden, JA, Wright, J, Carracedo, A, Lopez-Otin, C, Bea, S, Salaverria, I, Martin-Garcia, D, Campo, E, Fraumeni, JF, de Sanjose, S, Hjalgrim, H, Cerhan, JR, Chanock, SJ, Rothman, N, Slager, SL, Berndt, SI, Skibola, CF, Joseph, V, Camp, NJ, Nieters, A, Wang, Z, Cozen, W, Monnereau, A, Wang, SS, Kelly, RS, Lan, Q, Teras, LR, Chatterjee, N, Chung, CC, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Armstrong, BK, Cocco, P, Zhang, Y, Severi, G, Zeleniuch-Jacquotte, A, Lawrence, C, Burdette, L, Yuenger, J, Hutchinson, A, Jacobs, KB, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Wang, AH, Smedby, KE, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Jones, B, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Holly, EA, Smith, MT, Jackson, RD, Tinker, LF, Benavente, Y, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Rabe, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Lanasa, MC, Spector, LG, Leis, JF, Cunningham, JM, Weinberg, JB, Morrison, VA, Caporaso, NE, Norman, AD, Linet, MS, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Giles, GG, Albanes, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Offit, K, Zelenetz, A, Klein, RJ, Spinelli, JJ, Bertrand, KA, Laden, F, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Vajdic, CM, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Sampson, J, Crouch, S, Park, J-H, North, KE, Cox, A, Snowden, JA, Wright, J, Carracedo, A, Lopez-Otin, C, Bea, S, Salaverria, I, Martin-Garcia, D, Campo, E, Fraumeni, JF, de Sanjose, S, Hjalgrim, H, Cerhan, JR, Chanock, SJ, Rothman, N, and Slager, SL

Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

Published
2013

38. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Lim, S.S., Vos, T., Flaxman, A.D., Danaei, G., Shibuya, K., Adair-Rohani, H., Amann, M., Anderson, H.R., Andrews, K.G., Aryee, M., Atkinson, C., Bacchus, L.J., Bahalim, A.N., Balakrishnan, K., Balmes, J., Barker-Collo, S., Baxter, A., Bell, M.L., Blore, J.D., Blyth, F., Bonner, C., Borges, G., Bourne, R., Boussinesq, M., Brauer, M., Brooks, P., Bruce, N.G., Brunekreef, B., Bryan-Hancock, C., Bucello, C., Buchbinder, R., Bull, F., Burnett, R.T., Byers, T.E., Calabria, B., Carapetis, J., Carnahan, E., Chafe, Z., Charlson, F., Chen, H., Chen, J.S., Cheng, A.T., Child, J.C., Cohen, A., Colson, K.E., Cowie, B.C., Darby, S., Darling, S., Davis, A., Degenhardt, L., Dentener, F., Des Jarlais, D.C., Devries, K., Dherani, M., Ding, E.L., Dorsey, E.R., Driscoll, T., Edmond, K., Ali, S.E., Engell, R.E., Erwin, P.J., Fahimi, S., Falder, G., Farzadfar, F., Ferrari, A., Finucane, M.M., Flaxman, S., Fowkes, F.G.R., Freedman, G., Freeman, M.K., Gakidou, E., Ghosh, S., Giovannucci, E., Gmel, G., Graham, K., Grainger, R., Grant, B., Gunnell, D., Gutierrez, H.R., Hall, W., Hoek, H.W., Hogan, A., Hosgood, H.D., Hoy, D., Hu, H., Hubbell, B.J., Hutchings, S.J., Ibeanusi, S.E., Jacklyn, G.L., Jasrasaria, R., Jonas, J.B., Kan, H., Kanis, J.A., Kassebaum, N., Kawakami, N., Khang, Y-H., Khatibzadeh, S., Khoo, J-P., de Kok, C., Laden, F., Lalloo, R., Lan, Q., Lathlean, T., Leasher, J.L., Leigh, J., Li, Y., Lin, J.K., Lipshultz, S.E., London, S., Lozano, R., Lu, Y., Mak, J., Malekzadeh, R., Mallinger, L., Marcenes, W., March, L., Marks, R., Martin, R., McGale, P., McGrath, J., Mehta, S., Mensah, G.A., Merriman, T.R., Micha, R., Michaud, C., Mishra, V., Hanafiah, K.M., Mokdad, A.A., Morawska, L., Mozaffarian, D., Murphy, T., Naghavi, M., Neal, B., Nelson, P.K., Nolla, J.M., Norman, R., Olives, C., Omer, S. B, Orchard, J., Osborne, R., Ostro, B., Page, A., Pandey, K.D., Parry, C.D.H., Passmore, E., Patra, J., Pearce, N., Pelizzari, P.M., Petzold, M., Phillips, M.R., Pope, D., Pope, C.A., Powles, J., Rao, M., Razavi, H., Rehfuess, E.A., Rehm, J.T., Ritz, B., Rivara, F.P., Roberts, T., Robinson, C., Rodriguez-Portales, J.A., Romieu, I., Room, R., Rosenfeld, L.C., Roy, A., Rushton, L., Salomon, J.A., Sampson, U., Sanchez-Riera, L., Sanman, E., Sapkota, A., Seedat, S., Shi, P., Shield, K., Shivakoti, R., Singh, G.M., Sleet, D.A., Smith, E., Smith, K.R., Stapelberg, N.J.C., Steenland, K., Stöckl, H., Stovner, L.J., Straif, K., Straney, L., Thurston, G.D., Tran, J.H., van Dingenen, R., van Donkelaar, A., Veerman, J.L., Vijayakumar, L., Weintraub, R., Weissman, M.M., White, R.A., Whiteford, H., Wiersma, S.T., Wilkinson, J.D., Williams, H.C., Williams, W., Wilson, N., Woolf, A.D., Yip, P., Zielinski, J.M., Lopez, A.D., Murray, C.J.L., Ezzati, M., Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Lim, S.S., Vos, T., Flaxman, A.D., Danaei, G., Shibuya, K., Adair-Rohani, H., Amann, M., Anderson, H.R., Andrews, K.G., Aryee, M., Atkinson, C., Bacchus, L.J., Bahalim, A.N., Balakrishnan, K., Balmes, J., Barker-Collo, S., Baxter, A., Bell, M.L., Blore, J.D., Blyth, F., Bonner, C., Borges, G., Bourne, R., Boussinesq, M., Brauer, M., Brooks, P., Bruce, N.G., Brunekreef, B., Bryan-Hancock, C., Bucello, C., Buchbinder, R., Bull, F., Burnett, R.T., Byers, T.E., Calabria, B., Carapetis, J., Carnahan, E., Chafe, Z., Charlson, F., Chen, H., Chen, J.S., Cheng, A.T., Child, J.C., Cohen, A., Colson, K.E., Cowie, B.C., Darby, S., Darling, S., Davis, A., Degenhardt, L., Dentener, F., Des Jarlais, D.C., Devries, K., Dherani, M., Ding, E.L., Dorsey, E.R., Driscoll, T., Edmond, K., Ali, S.E., Engell, R.E., Erwin, P.J., Fahimi, S., Falder, G., Farzadfar, F., Ferrari, A., Finucane, M.M., Flaxman, S., Fowkes, F.G.R., Freedman, G., Freeman, M.K., Gakidou, E., Ghosh, S., Giovannucci, E., Gmel, G., Graham, K., Grainger, R., Grant, B., Gunnell, D., Gutierrez, H.R., Hall, W., Hoek, H.W., Hogan, A., Hosgood, H.D., Hoy, D., Hu, H., Hubbell, B.J., Hutchings, S.J., Ibeanusi, S.E., Jacklyn, G.L., Jasrasaria, R., Jonas, J.B., Kan, H., Kanis, J.A., Kassebaum, N., Kawakami, N., Khang, Y-H., Khatibzadeh, S., Khoo, J-P., de Kok, C., Laden, F., Lalloo, R., Lan, Q., Lathlean, T., Leasher, J.L., Leigh, J., Li, Y., Lin, J.K., Lipshultz, S.E., London, S., Lozano, R., Lu, Y., Mak, J., Malekzadeh, R., Mallinger, L., Marcenes, W., March, L., Marks, R., Martin, R., McGale, P., McGrath, J., Mehta, S., Mensah, G.A., Merriman, T.R., Micha, R., Michaud, C., Mishra, V., Hanafiah, K.M., Mokdad, A.A., Morawska, L., Mozaffarian, D., Murphy, T., Naghavi, M., Neal, B., Nelson, P.K., Nolla, J.M., Norman, R., Olives, C., Omer, S. B, Orchard, J., Osborne, R., Ostro, B., Page, A., Pandey, K.D., Parry, C.D.H., Passmore, E., Patra, J., Pearce, N., Pelizzari, P.M., Petzold, M., Phillips, M.R., Pope, D., Pope, C.A., Powles, J., Rao, M., Razavi, H., Rehfuess, E.A., Rehm, J.T., Ritz, B., Rivara, F.P., Roberts, T., Robinson, C., Rodriguez-Portales, J.A., Romieu, I., Room, R., Rosenfeld, L.C., Roy, A., Rushton, L., Salomon, J.A., Sampson, U., Sanchez-Riera, L., Sanman, E., Sapkota, A., Seedat, S., Shi, P., Shield, K., Shivakoti, R., Singh, G.M., Sleet, D.A., Smith, E., Smith, K.R., Stapelberg, N.J.C., Steenland, K., Stöckl, H., Stovner, L.J., Straif, K., Straney, L., Thurston, G.D., Tran, J.H., van Dingenen, R., van Donkelaar, A., Veerman, J.L., Vijayakumar, L., Weintraub, R., Weissman, M.M., White, R.A., Whiteford, H., Wiersma, S.T., Wilkinson, J.D., Williams, H.C., Williams, W., Wilson, N., Woolf, A.D., Yip, P., Zielinski, J.M., Lopez, A.D., Murray, C.J.L., and Ezzati, M.

Published
2012

40. Violence exposure, a chronic psychosocial stressor, and childhood lung function

Author

Suglia, SF, Ryan, L, Laden, F, Dockery, DW, Wright, RJ, Suglia, SF, Ryan, L, Laden, F, Dockery, DW, and Wright, RJ

Abstract

OBJECTIVE: Chronic psychosocial stressors, including violence, and neuropsychological and behavioral development in children as well as physiologic alterations that may lead to broader health effects. METHODS: We studied the relationship between violence and childhood lung function in a prospective birth cohort of 313 urban children (age range = 6-7 years). Mothers reported on their child's lifetime exposure to community violence (ETV) and interparental conflict in the home (Conflict Tactics Scale (CTS)) within 1 year of the lung function assessment. RESULTS: In linear regression analyses, adjusting for maternal education, child's age, race, birthweight, tobacco smoke exposure, and medical history, girls in the highest CTS verbal aggression tertile had a 5.5% (95% confidence interval (CI) = -9.6, -1.5) decrease in percent predicted forced expiratory volume (FEV1) and a 5.4% (95% CI = -9.7, -1.1) decrease in forced vital capacity (FVC) compared with girls in the lowest tertile. The CTS verbal aggression subscale was associated with lung function among boys in the same direction, albeit this was not statistically significant. Boys in the highest ETV tertile had a 3.4% (95% CI = -8.0, 1.1) lower FEV1 and 5.3% lower FVC (95% CI = -10.2, -0.4) compared with boys in the lowest tertile. The ETV score was not a significant predictor of girls' lung function. CONCLUSIONS: Interparental conflict, specifically verbal aggression, and ETV were associated with decreased childhood lung function independent of socioeconomic status, tobacco smoke exposure, birthweight, and respiratory illness history. Gender differences were noted based on the type of violence exposure, which may warrant further exploration. Copyright © 2008 by American Psychosomatic Society.

Published
2008

42. Modeling particle exposure in U.S. trucking terminals

Author

Davis, ME, Smith, TJ, Laden, F, Hart, JE, Ryan, LM, Garshick, E, Davis, ME, Smith, TJ, Laden, F, Hart, JE, Ryan, LM, and Garshick, E

Abstract

Multi-tiered sampling approaches are common in environmental and occupational exposure assessment, where exposures for a given individual are often modeled based on simultaneous measurements taken at multiple indoor and outdoor sites. The monitoring data from such studies is hierarchical by design, imposing a complex covariance structure that must be accounted for in order to obtain unbiased estimates of exposure. Statistical methods such as structural equation modeling (SEM) represent a useful alternative to simple linear regression in these cases, providing simultaneous and unbiased predictions of each level of exposure based on a set of covariates specific to the exposure setting. We test the SEM approach using data from a large exposure assessment of diesel and combustion particles in the U.S. trucking industry. The exposure assessment includes data from 36 different trucking terminals across the United States sampled between 2001 and 2005, measuring PM2.5 and its elemental carbon (EC), organic carbon (OC) components, by personal monitoring, and sampling at two indoor work locations and an outdoor "background" location. Using the SEM method, we predict the following: (1) personal exposures as a function of work-related exposure and smoking status; (2) work-related exposure as a function of terminal characteristics, indoor ventilation, job location, and background exposure conditions; and (3) background exposure conditions as a function of weather, nearby source pollution, and other regional differences across terminal sites. The primary advantage of SEMs in this setting is the ability to simultaneously predict exposures at each of the sampling locations, while accounting for the complex covariance structure among the measurements and descriptive variables. The statistically significant results and high R 2 values observed from the trucking industry application supports the broader use of this approach in exposure assessment modeling. © 2006 American Chemical Soc

Published
2006

43. Circulating 25-Hydroxyvitamin D and Risk of Non-Hodgkin Lymphoma: Cohort Consortium Vitamin D Pooling Project of Rarer Cancers

Author

Purdue, M. P., primary, Freedman, D. M., additional, Gapstur, S. M., additional, Helzlsouer, K. J., additional, Laden, F., additional, Lim, U., additional, Maskarinec, G., additional, Rothman, N., additional, Shu, X.-O., additional, Stevens, V. L., additional, Zeleniuch-Jacquotte, A., additional, Albanes, D., additional, Bertrand, K., additional, Weinstein, S. J., additional, Yu, K., additional, Irish, L., additional, Horst, R. L., additional, Hoffman-Bolton, J., additional, Giovannucci, E. L., additional, Kolonel, L. N., additional, Snyder, K., additional, Willett, W., additional, Arslan, A. A., additional, Hayes, R. B., additional, Zheng, W., additional, Xiang, Y.-B., additional, and Hartge, P., additional

Published
2010
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44. Correlates of Circulating 25-Hydroxyvitamin D: Cohort Consortium Vitamin D Pooling Project of Rarer Cancers

Author

McCullough, M. L., primary, Weinstein, S. J., additional, Freedman, D. M., additional, Helzlsouer, K., additional, Flanders, W. D., additional, Koenig, K., additional, Kolonel, L., additional, Laden, F., additional, Le Marchand, L., additional, Purdue, M., additional, Snyder, K., additional, Stevens, V. L., additional, Stolzenberg-Solomon, R., additional, Virtamo, J., additional, Yang, G., additional, Yu, K., additional, Zheng, W., additional, Albanes, D., additional, Ashby, J., additional, Bertrand, K., additional, Cai, H., additional, Chen, Y., additional, Gallicchio, L., additional, Giovannucci, E., additional, Jacobs, E. J., additional, Hankinson, S. E., additional, Hartge, P., additional, Hartmuller, V., additional, Harvey, C., additional, Hayes, R. B., additional, Horst, R. L., additional, and Shu, X.-O., additional

Published
2010
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45. Circulating 25-Hydroxyvitamin D and the Risk of Rarer Cancers: Design and Methods of the Cohort Consortium Vitamin D Pooling Project of Rarer Cancers

Author

Gallicchio, L., primary, Helzlsouer, K. J., additional, Chow, W.-H., additional, Freedman, D. M., additional, Hankinson, S. E., additional, Hartge, P., additional, Hartmuller, V., additional, Harvey, C., additional, Hayes, R. B., additional, Horst, R. L., additional, Koenig, K. L., additional, Kolonel, L. N., additional, Laden, F., additional, McCullough, M. L., additional, Parisi, D., additional, Purdue, M. P., additional, Shu, X.-O., additional, Snyder, K., additional, Stolzenberg-Solomon, R. Z., additional, Tworoger, S. S., additional, Varanasi, A., additional, Virtamo, J., additional, Wilkens, L. R., additional, Xiang, Y.-B., additional, Yu, K., additional, Zeleniuch-Jacquotte, A., additional, Zheng, W., additional, Abnet, C. C., additional, Albanes, D., additional, Bertrand, K., additional, and Weinstein, S. J., additional

Published
2010
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