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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Cancer Epidemiol. Author manuscript; available in PMC 2014 June 1.
Published in final edited form as:
PMCID: PMC3652629

The Childhood Leukemia International Consortium



Acute leukemia is the most common cancer in children under 15 years of age; 80% are acute lymphoblastic leukemia (ALL) and 17% are acute myeloid leukemia (AML). Childhood leukemia shows further diversity based on cytogenetic and molecular characteristics, which may relate to distinct etiologies. Case–control studies conducted worldwide, particularly of ALL, have collected a wealth of data on potential risk factors and in some studies, biospecimens. There is growing evidence for the role of infectious/immunologic factors, fetal growth, and several environmental factors in the etiology of childhood ALL. The risk of childhood leukemia, like other complex diseases, is likely to be influenced both by independent and interactive effects of genes and environmental exposures. While some studies have analyzed the role of genetic variants, few have been sufficiently powered to investigate gene–environment interactions.


The Childhood Leukemia International Consortium (CLIC) was established in 2007 to promote investigations of rarer exposures, gene–environment interactions and subtype-specific associations through the pooling of data from independent studies.


By September 2012, CLIC included 22 studies (recruitment period: 1962–present) from 12 countries, totaling approximately 31 000 cases and 50 000 controls. Of these, 19 case–control studies have collected detailed epidemiologic data, and DNA samples have been collected from children and child–parent trios in 15 and 13 of these studies, respectively. Two registry-based studies and one study comprising hospital records routinely obtained at birth and/or diagnosis have limited interview data or biospecimens.


CLIC provides a unique opportunity to fill gaps in knowledge about the role of environmental and genetic risk factors, critical windows of exposure, the effects of gene–environment interactions and associations among specific leukemia subtypes in different ethnic groups.

Keywords: Leukemia, Children, Consortium, Epidemiology, Genetics

1. Introduction

Leukemia is the most common cancer among children, representing about a third of all cancers occurring before the age of 15 years; approximately 80% are acute lymphoblastic leukemia (ALL) primarily in children 1–4 years old, 17% acute myeloid leukemia (AML), and 3% chronic myeloid leukemias, with some variation in ALL and AML incidence rates worldwide [1,2]. Further classification of childhood leukemia is made on the basis of cell types for ALL, and cytogenetic/molecular characteristics (e.g., chromosome translocations such as t(12;21), the MLL gene fusion, and aberrant chromosome number such as hyperdiploidy) [3]. These leukemia subtypes exhibit heterogeneity with regard to pathophysiology, clinical manifestations, response to treatment, and prognosis, which suggests distinct etiologies [4]. Biological studies have shown that both prenatal initiating events and postnatal promoting events could be involved in the development of childhood leukemia, consistent with the “two-hit” model confirmed in the natural history of several tumor sites and hypothesized for leukemogenesis [5].

Apart from established associations with rare and specific inherited and congenital genetic instability disorders (e.g., Down syndrome, Fanconi anemia, ataxia telangiectasia and others), prenatal exposure to X-rays and chemotherapeutic agents, epidemiologic studies of childhood leukemia conducted during the last two decades have investigated the role of the child’s immune function, fetal growth and other perinatal characteristics, as well as associations with in utero and early life exposures, including a range of environmental agents. In brief, a decreased risk of childhood B-cell ALL has been associated with surrogate measures of early common infection, such as high levels of social contact in daycare settings [6-9]. Elevated risks of childhood ALL have been reported with high birth weight [10], home use of pesticides [11], tobacco smoking [12,13], diet [14-17], parental occupational chemical exposures such as solvents and hydrocarbons, and some measures of outdoor air pollution [18-23]. Previous studies, mostly limited in scope, have evaluated the role of candidate genes involved in xenobiotic transport and metabolism [24-32], DNA repair [28,33,34], folate metabolic pathways [28,35-38], and immune regulation [28,39-42] including the histocompatibility complex (human leukocyte antigen (HLA) genes) [43-45]. Recent genome wide association studies (GWAS) of childhood B-cell ALL [46-49] and replication studies [50-53] reported associations with genes involved in the transcriptional regulation and differentiation of B-cell progenitors in Caucasian [46-48], Asian [49] and African-American populations [51]. However, it seems unlikely that childhood ALL, like other complex diseases, is determined solely by genetic or environmental factors, but may result from interactions between them. If this paradigm applies to childhood leukemia, the relative rarity of the disease may be explained by interactions between rare genotypes and multiple exposures. While some studies to date have attempted to investigate such gene–environment interactions in childhood ALL [24-27,29,31,36,39,54-62], most have lacked sufficient statistical power.

To overcome the limitations of single epidemiologic studies, the Childhood Leukemia International Consortium (CLIC) was established in 2007, building upon the wealth of data and biospecimens collected in over 20 case–control studies worldwide ( The unprecedented number of children whose data are available for pooling will enhance the statistical power to investigate the contribution of pre- and post-natal exposures to the etiology of childhood ALL, AML, and rarer subtypes, and will facilitate investigation of gene–environment interactions. The aim of this paper describes the history and organization of CLIC, the participating studies, future directions and challenges.

2. CLIC history and organization

In 2005–2006, the investigator of the US-California childhood leukemia study (PAB) initiated contacts with investigators from Australia (EM), Canada (CIR), and France (JC) to discuss the establishment of an international consortium of epidemiologic studies of childhood leukemia. The primary goals were to share comparable epidemiologic and possibly genetic data in order to enhance statistical power of analyses and, most importantly, to exchange ideas among researchers from different disciplines including epidemiologists, tumor biologists, geneticists, immunologists, toxicologists, clinicians and statisticians about the possible causes of childhood leukemia. In collaboration with the International Agency for Research on Cancer (IARC), CLIC was established in 2007 with its first formal annual meeting. Several other leukemia investigators were invited to outline research priorities and the structure of the consortium, and consortium meetings have taken place each year since then. By September 2012, CLIC had expanded to include 22 existing individual childhood leukemia studies from 18 research groups in 12 countries within North, Central, and South America, Europe, Australia/Oceania, and Africa ( These studies have substantial similarities in research hypotheses and study designs (Table 1).

Table 1
Description of Studies Participating in the Childhood Leukemia International Consortium (CLIC), April 2006–September 2012.

Two projects were initiated to demonstrate a proof of principle for pooling data within CLIC. One examined the associations between maternal vitamin and folate supplementation during pregnancy and the risk of childhood ALL and AML (supported by funding from the National Cancer Institute, NCI, USA), and the other investigated the association between two measures of fetal growth and childhood ALL (supported by funding from the Cancer Council Western Australia). These initiatives enabled CLIC to develop guidelines and procedures for requesting and pooling data, and guidelines for membership and authorship. The latter were modeled on successful consortia of adult cancers (i.e., the International Lymphoma Epidemiology Consortium, Interlymph,; the International Lung Cancer Consortium, ILCCO,, and other references such as the International Committee of Medical Journal Editors (

The consortium is governed by the Coordination Group, which comprises the principal investigators and designated co-investigators from CLIC studies. CLIC-wide activities such as those involving data pooling/management, disease classification/pathology, and other emerging needs are supported by the Core Logistics Groups. Research priorities for collaborative projects are set by the Interest Groups, including topics on (by alphabetical order) birth characteristics, environmental and occupational exposures, family history, genetic studies, infection and immunity, rare leukemia subtypes (such as infant leukemia, acute myeloid and promyelocytic leukemia, and T-cell ALL), and survival/outome studies. The latter group was established as an extension of the etiologic research in leukemogenesis. This Interest Group aims to determine which case series of the case–control studies are (or can be) linked with information on vital status and course of disease. Subsequently, this Group will explore survival in relation to socio-demographic factors, clinical characteristics, and treatment modalities, whenever available. Pooling projects that are approved by the Coordination Group are then implemented by Working Groups. Lastly, the Management Group, which comprises an elected Chair, Vice Chair, and Members, facilitates all CLIC operations. Participation in all groups described above is voluntary (details on CLIC organization are available at

Members of the Coordination Group who contribute epidemiologic or genetic data are Active CLIC Members, while researchers with relevant expertise, but who do not contribute data, may apply for Associate Membership of CLIC. An individual study may solicit CLIC membership directly or upon invitation by a CLIC Member; inclusion and exclusion criteria include the robustness of the study design and the scope of epidemiologic data and biospecimen available for pooling projects. As a result, CLIC represents a large subset of childhood leukemia studies including most of the large case–control studies worldwide.

Currently, data are held locally by each study principal investigator, who following bilateral data transfer agreements, sends them to the pooling project leader for data harmonization and analyses. Protocols for harmonizing common variables such as parental education and ethnicity are shared between investigators. Now that CLIC has demonstrated its ability to share and analyze data, CLIC has opted to establish a central data coordination center hosted at the IARC, Lyon, France, in order to streamline the exchange of data and relevant study information between CLIC Members, under bilateral data transfer agreements. The short-term goal is to store common variables on socio-demographic characteristics and disease classification, other clinical characteristics and outcomes, as well as variables harmonized for pooled analyses addressing specific hypotheses. These data and their documentation will be checked for consistency and made available for future analyses after approval by principal investigators of each individual CLIC study. In addition, medium-term goals of the central data coordination center are to store original study data when requested by a principal investigator, and to develop an interactive inventory of data and biospecimens available in CLIC studies. Lastly, a long-term goal is to provide support for statistical programming, if requested by the pooling project leader.

3. CLIC studies

Table 1 describes the characteristics of 22 studies participating in CLIC as of September 2012. All individual studies had been approved by their respective ethics committee, and family members who provided data had given informed consent. Leukemia cases were identified from nation/region-wide population-based cancer registries, networks of hospitals or physicians – which in some countries are equivalent to national population-based coverage (14 studies), selected hospitals (6 studies), or clinical trials (2 studies). The source of controls was either population-registry based (14 studies), hospital-based (5 studies), or recruited using random-digit dialing (3 studies). In total, CLIC has accrued information for 31 239 leukemia cases and 50 166 controls (Table 2).

Table 2
Number of cases and controls in the Childhood Leukemia International Consortium (CLIC) Studies, April 2006–September 2012.

Approximately half of study participants in the CLIC data set (11 157 ALL, 1836 AML, and 21 375 controls) came from 19 case–control studies in which detailed epidemiologic data were obtained using standardized questionnaires to collect information on putative risk factors. The period of enrollment started from 1980, with recruitment ongoing in some studies. Therefore, any tables describing the size of the CLIC studies may be different from what has been published at the time of this manuscript. With few exceptions, children were less than 15 years of age at recruitment. The risk factors studied include medical conditions of the child and mother (e.g., reproductive and birth characteristics, drug use, diagnostic X-rays, infection and other conditions), lifestyle (diet, consumption of alcohol, coffee, and vitamin supplementation, tobacco smoking, markers of social contact), and pre- and postnatal exposures to chemicals (e.g., pesticides, paints, hair dyes, and solvents at home or work). Biospecimens were collected for DNA extraction in 15 of the 19 case–control studies, representing approximately 9400 cases and 7100 controls. Thirteen studies also obtained DNA from child–parent trios (Table 2), which offers a unique opportunity to enhance the validity of genetic association studies. Some CLIC studies have completed genotyping in a subset of cases and/or controls, mostly for selected single nucleotide polymorphisms (SNPs) in candidate genes involved in xenobiotic and folate metabolism and DNA repair. Other investigators are currently conducting or analyzing data from large-scale genotyping and sequencing studies, or have specimens available for future genetic investigations.

The other half of the participants in CLIC studies (15 075 ALL, 2883 AML, 28 791 controls) were ascertained from two registry-based studies and one study comprising hospital records routinely obtained at birth and/or diagnosis. These studies, with enrollment starting as early as 1962, have limited epidemiologic data available.

Several pooled analyses that maximize the use of existing epidemiologic and genetic data, and possibly outcome data for some studies, are under way (Table 3). Following is an example illustrating the gain in statistical power to examine the association between maternal smoking during pregnancy and childhood AML within CLIC compared to individual studies: given a power of 0.80, an alpha of 0.05, a prevalence of exposure of 20%, and the use of unmatched analysis, the minimum detectable odd ratio is 1.26 for CLIC pooled analyses (930 cases and 7800 controls) vs. 1.69 and 2.96 for individual CLIC studies such as the UKCCS (248 AML cases/492 controls) or the NARECHEM study (105 AML cases/105 controls), respectively.

Table 3
CLIC pooled analyses in progress (as of September 2012).

Classification on immunophenotypes of childhood ALL was available in 19 studies, comprising approximately 9000 B-cell and 1000 T-cell cases (Table 2). Information on molecular lesions, as identified by conventional karyotype at the time of the leukemia diagnosis, was available for most CLIC studies, at least on a subset of cases. Only a few studies have readily available information on gene translocations, duplications and deletions using fluorescence in situ hybridization (FISH) or polymerase chain reaction (PCR) assays, which are mainly available for cases diagnosed after 2000. Quality and completeness of cytogenetic and molecular data in CLIC are currently being evaluated, as methods used for cytogenetic characterization of leukemia cases have evolved over time from conventional karyotyping to more sophisticated molecular biologic methods to detect chimeric gene products using FISH and PCR assays.

Currently, approximately 80% of study subjects in CLIC are classified as White/Caucasian/European, based on self-reports or population demographics when detailed information was not collected. The remaining 20% include children of various ethnic backgrounds, primarily enrolled in studies from the United States, Brazil, and Egypt. We estimate that about 780 cases and 1900 controls are Hispanics. Additionally, a study from Mexico [63] with 980 cases and 750 controls will soon join CLIC. In contrast, the numbers of children reporting Asian and African backgrounds remain low (~200 cases; 800 controls for each group). For a subset of CLIC studies, population admixture will be characterized using ancestry informative markers derived from GWAS.

4. Future directions and challenges

CLIC is a maturing consortium that brings together a large community of scientists and clinicians with expertise in childhood leukemia research, a wealth of epidemiologic data, and a substantial amount of genetic data from 12 countries in 5 continents. CLIC is reaching out to additional investigators in Central and South America, and to new studies in Asia and possibly Africa, to expand the participation of these underrepresented ethnic groups.

A number of meta-analyses of published data from childhood leukemia studies have been conducted (e.g., maternal folate [64], pesticides [11], and daycare attendance [6]). Beyond the advantage of pooling data to increase statistical power, CLIC provides access to original published and un-published data (therefore reducing potential for publication bias) and detailed recruitment statistics. This allows the CLIC investigators to assess the suitability of individual studies in pooled analyses, and to address specific research questions with adequate statistical power, such as estimating risk of rare leukemia subtypes (e.g., understudied AML, T-cell ALL, and cytogenetic subtypes), effects of rare exposures (e.g., some paternal and maternal occupational exposures), multiple time periods of exposure (e.g., sole or combined contribution of exposures occurring during preconception, pregnancy as a whole or by trimester and after birth), dose–response relationships, and possible interactions between socio-demographic (S), environmental (E) and genetic (G) factors (e.g., ExE, ExS, GxG, and GxE interactions).

We acknowledge the challenges in harmonizing existing epidemiologic data collected across a wide range of studies using various designs, and that the limitations of the original studies remain. However, by having access to original data, CLIC investigators are able to conduct comprehensive sensitivity analyses to evaluate the nature and magnitude of various biases related, for example, to non-participation and missing data in individual studies.

To address some methodological limitations of case–control studies, the International Consortium of Childhood Cancer Cohorts (I4C) was established in 2006 to pool data for over 700 000 children from birth cohorts worldwide ( [65]. The I4C aims to enhance exposure classification through a prospective design; however, cohort studies are not exempt from selection bias and they face challenges in accruing sufficient numbers of leukemia cases in a reasonable time period. Indeed, while the major strength of CLIC is its access to data from several thousand children diagnosed with common and rare leukemia subtypes, the anticipated number of children with leukemia participating in I4C longitudinal studies is ~400 ALL and 100 AML (based on 700 000 children) [65]. Despite the respective strengths and limitations of CLIC and I4C, there are several possible areas for complementary work between the two consortia, such as cross-validation of findings using two methodological approaches, and joint projects to characterize biomarkers of prenatal exposures using pre-natal biospecimens that are available in I4C studies and in some CLIC case–control studies (such as archive newborn blood spots as listed in Table 2). The leaders and members of CLIC and I4C are working closely to maximize the benefits of the two methodological approaches, and to exchange expertise.

Other groups are collaborating to study genetic and/or environmental factors for childhood leukemia [65,66]. The strength of CLIC, however, lies in the availability of both environmental data and the child’s genetic data and/or DNA, as well as parental DNA in a subset of studies. CLIC is currently examining gene–environment interactions with targeted environmental exposure data and functional SNPs (Table 3), and will aim to undertake relevant gene-environment analyses of SNPs with main effects that are replicated by GWAS. Lastly, because CLIC has a unique diversity of ancestries among subjects, it will be feasible to undertake GWAS among specific ethnic groups. This is particularly attractive given that leukemia incidence rates vary substantially between ethnic groups. Several practical concerns will guide the pooling of genetic data in CLIC, including the choice of genotyping platform, central vs. distributed genotyping, and the decision to pursue individual vs. consortium-wide funding.

The overarching objective of CLIC is to influence the focus and priorities for childhood leukemia research through large collaborative efforts. CLIC will continue to seek funding and partnerships to support its expanding research portfolio. CLIC is an open consortium willing to include additional collaborations. Furthermore, CLIC strives to be a dynamic consortium and has established mechanisms for the submission of new research proposals and for the development of databases with common core variables and clear data dictionaries to facilitate current and future pooling projects.


We would like to thank Somdat Mahabir (NCI, USA), and Denis Henshaw and Katie Martin (CwC, UK) for the continued scientific and administrative support to CLIC; Duncan Thomas (University of Southern California, USA) for his consultation on statistical methods; Paul Brennan (IARC, France) and Rayjean Hung (Samuel Lunenfeld Research Institute, Canada) for their valuable input from other consortia; the National Cancer Institute, USA for access to webinars on statistical methods ( We also would like to thank the families for their participation in each individual CLIC study. Additional acknowledgements for CLIC studies are provided in Appendix 1.

Authorship: Several of the authors contributed to the establishment of CLIC (CMet, EM, JC, CIR, and PAB); others are in the CLIC Management Group (CMet, EM, JC, CIR, LS, JS, and PAB), the coordination of CLIC (AYK), or the writing group of this manuscript (CMet, EM, JC, CIR, EP, MT, PAB, and AYK). All authors (except AYK) are principal investigators, co-investigators or designates of participating CLIC studies described herein and in the tables. All authors were involved in planning this manuscript, have reviewed it for intellectual content and approve of the final version submitted for publication.


The CLIC administration and annual meetings are partially supported by the National Cancer Institute (NCI), USA (grant R03CA132172), National Institute of Environmental Health Sciences (NIEHS), USA (grants P01 ES018172, R13 ES021145-01, and 1R13ES022868-01), the Environmental Protection Agency (USEPA), USA (grant RD83451101), and the CHILDREN with CANCER, UK (CwC, The content is solely the responsibility of the authors and does not necessarily represent the official views of the NCI, NIEHS, USEPA or CwC.

Additional funds granted by the CwC, UK have supported the consortium since its inception, including the creation of the CLIC website ( and the organization of annual CLIC meetings critical to establishing and maintaining collaborations (details posted on the CLIC website). The NCI, USA has also provided support for teleconferences between CLIC Members.


acute lymphoblastic leukemia
acute myeloid leukemia
Childhood Leukemia International Consortium
human leukocyte antigen
genome wide association studies
International Agency for Research on Cancer
methylene tetrahydrofolatereductase
single-nucleotide polymorphisms
fluorescence in situ hybridization
polymerase chain reaction
International Consortium of Childhood Cancer Cohorts

Appendix 1. Acknowledgments by study (listed by location and name in alphabetical order). Further information can be found in study references and websites, and

Australia, Aus-ALL [13,64,67]

Research and Clinical Investigators

Bruce Armstrong (Sydney School of Public Health); Elizabeth Milne, Carol Bower, Nicholas de Klerk, Ursula Kees, and Helen Bailey (Telethon Institute for Child Health Research); Frank van Bockxmeer (Royal Perth Hospital); Michelle Haber and Murray Norris (Children’s Cancer Institute Australia); Rodney Scott and John Attia (University of Newcastle); Lin Fritschi (WA Institute for Medical Research); Margaret Miller (Edith Cowan University); Judith Thompson (WA Cancer Registry); Frank Alvaro (John Hunter Hospital, Newcastle); Catherine Cole (Princess Margaret Hospital for Children, Perth); Luciano Dalla Pozza (Children’s Hospital at Westmead, Sydney); John Daubenton (Royal Hobart Hospital, Hobart); Peter Downie (Monash Medical Centre, Melbourne); Liane Lockwood (Royal Children’s Hospital, Brisbane); Maria Kirby (Women’s and Children’s Hospital, Adelaide); Glenn Marshall (Sydney Children’s Hospital, Sydney); Elizabeth Smibert (Royal Children’s Hospital, Melbourne); Ram Suppiah (previously Mater Children’s Hospital, Brisbane). Funding: Australian National Health and Medical Research Council.

Brazil, Brazilian Collaborative Study Group (BCSG) [30,32,68]

Research and Clinical Investigators

Maria S. Pombo-de-Oliveira, Sergio Koifman, Fernando A. Werneck, Jane Dobbin, Mariana Emerenciano, Marcela B. Mansur, Jeniffer D. Ferreira, and Arnaldo C. Couto (Rio de Janeiro); Isis Q. Magalhães and José C. Cordoba (Brasilia); Vitória R.Pereira Pinheiro and Silvia R. Brandalise (Campinas); Imaruí Costa (Florianopolis); Mara A.D. Pianovsky, Flora M. Watanabe (Parana); Núbia Mendonça, Nilma Pimentel Brito, Eny Guimarães de Carvalho, and Ana Maria Marinho (Salvador); Virginia M. Cóser (Santa Maria); Gilberto Ramos (Belo Horizonte); Flávia Pimenta and Andreia Gadelha (Joao Pessoa); Cesar Bariani (Goiania); Marcelo S. Santos and Rosania Baseggio (Campo Grande); Alejandro Aranciba and Renato Melarangno (São Paulo). Funding Brazilian National Research Council (CNPq), the State of Rio de Janeiro Research Foundation (FAPERJ), the Ministry of Health of Brazil, and the Swiss Bridge Foundation.

Canada, Québec Study [55,69,70]

Research Investigator

Claire Infante-Rivard (McGill Univertsity, Montréal). Funding: National Cancer Institute of Canada and CCERN, the Medical Research Council of Canada, the Canadian Institutes of Health Research, the Fonds de la recherche en santé du Québec, the Bureau of Chronic Disease Epidemiology, Health and Welfare Canada, the Leukemia Research Fund of Canada, and the National Health and Research Development Program, Ottawa.

Canada, Qc-ALL [71-73]

Research Investigator

Daniel Sinnett (University of Montréal). Funding: Canadian Institutes of Health Research, the Cole Foundation, the Network of Applied Medical Genetics (Fonds de la recherche en santé du Québec), the Cancer Research Society Inc, the Leukemia and Lymphoma Society of Canada, Genome Quebec/Canada, Terry Fox Research Institute, and the Research Chair François-Karl-Viau in Pediatric Oncogenomics.

Costa Rica

Research Investigators

Patricia Monge, Catharina Wesseling, and Timo Partanen (Universidad Nacional, Costa Rica); Anders Ahlbom and Elisabete Weiderpass (Karolinska Insitutet, Sweden), and Kenneth Cantor (National Cancer Institute, USA). Funding Research Department of the Swedish International Development Cooperation Agency (Sida/SAREC) and National Cancer Institute, USA.

Egypt, Children’s Cancer Hospital Egypt-57357 (CCHE)

Research Investigators

Sameera Ezzat (Menoufiya University); Sherine Salem; Wafaa El Anwar; Chris Loffredo; Sania Amr; Alaa El Haddad; Iman Sidhom; Mahmoud Ahmed; Mohamed Abdel Hamid and Mai El Daly (VHRL laboratory). Funding National Institutes of Health, USA.

France, Studies ADELE [26], ELECTRE [74], ESCALE [7,62], and ESTELLE (

Research Investigators

Jacqueline Clavel and Jérémie Rudant (Inserm, CESP, Université Paris-Sud). Funding: ADELE Inserm, the French Ministère de l’Environnement, the Association pour la Recherche contre le Cancer (ARC), the Fondation de France, the Fondation Jeanne Liot, the Fondation Weisbrem-Berenson, the Ligue Contre le Cancer du Val de Marne, and the Ligue Nationale Contre le Cancer. ELECTRE: Inserm, the Ministère de l’Environnement et de l’Aménagement du Territoire, the Fondation pour la Recherche Médicale, ARC, the Fondation de France, and the Institut Electicité Santé. ESCALE: Inserm, the Fondation de France, ARC, the Agence Française de Sécurité Sanitaire des Produits de Santé (AFSSAPS), the Agence Française de Sécurité Sanitaire de l’Environnement et du Travail (AFSSET), the association Cent pour sang la vie, the Institut National du Cancer (INCa), the Agence Nationale de la Recherche (ANR), and the Cancéropôle Ile de France. ESTELLE: Association Enfants et Santé, the Ligue Nationale contre le Cancer, the Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (ANSES), the Institut National du Cancer (INCa), the Cancéropôle Ile de France.

Germany, German Childhood Cancer Registry (GCCR) [75-77]

Research Investigators

Peter Kaatsch and Jörg Michaelis (Johannes Gutenberg-University Mainz); Joachim Schüz (International Agency for Research on Cancer). Funding Federal Ministry of the Environment, Nuclear Safety and Nature Preservation.

Greece, Nationwide Registry for Childhood Haematological Malignancies (NARECHEM) [78-80]

Research and Clinical Investigators

Eleni Petridou, Paraskevi Panagopoulou, and Ioannis Matsoukis (University of Athens); Margarita Baka (Children’s Hospital, Athens, Greece); Maria Moschovi (Athens University Medical School); Sophia Polychronopoulou (“Aghia Sophia” General Children’s Hospital, Athens); Fani Athanassiadou (Aristotelion University of Thessaloniki, AHEPA General Hospital); Vassiliki Sidi (Hippokration Hospital, Thessaloniki), and Efthymia Stiakaki (University Hospital of Heraklion). Funding European Union and the University of Athens.

Italy,Studio sulla Eziologia dei Tumori Infantili Linfoemopoietici (SETIL) [81]

Research and Clinical Investigators

Corrado Magnani (Università del Piemonte Orientale); Lucia Miligi (ISPO, Firenze); Maurizio Aricò and Gabriella Bernini (AOU Meyer, Firenze); Antonio Acquaviva (AOU di Siena); Giorgio Assennato (ARPA, Bari); Giuseppe Basso, Stefania Varotto and Paola Zambon (Università di Padova); Pierfranco Biddau (Ospedale Microcitemico, Cagliari); Luigi Bisanti (ASL di Milano); Francesco Bochicchio, Susanna Lagorio, Cristina Nuccetelli, Alessandro Polichetti, Serena Risica, and Paolo Vecchia (ISS, Roma); Santina Cannizzaro and Lorenzo Gafà (LILT, Ragusa); Egidio Celentano (ARSan, Napoli); Pierluigi Cocco (Università di Cagliari); Marina Cuttini and Paolo Tamaro (IRCCS Burlo Garofolo, Trieste); Francesco Forastiere, Ursula Kirchmayer, and Paola Michelozzi (Dipartimento Epidemiologia Regione Lazio, Roma); Riccardo Haupt (Istituto Giannina Gaslini, Genova); Franco Locatelli (Università di Pavia); Lia Lidia Luzzatto (Ospedale Pediatrico Regina Margherita, Torino); Giuseppe Masera and Carmelo Rizzar (Università Milano Bicocca, Monza); Pia Massaglia (Università di Torino); Stefano Mattioli, Guido Paolucci and Andrea Pession (Università di Bologna); Domenico Franco Merlo (INRC, Genova); Liliana Minelli (Università degli Studi di Perugia); Paola Mosciatti and Franco Pannelli (Università di Camerino); Vincenzo Poggi (AORN Santobono – Pausilipon, Napoli); Alessandro Pulsoni (Sapienza University, Roma); Roberto Rondelli (Policlinico S.Orsola, Bologna); Giovanna Russo and Gino Schilirò (Università di Catania); Alberto Salvan (IASI-CNR, Roma); Maria Valeria Torregrossa (Università degli Studi di Palermo). Funding: Italian Association on Research on Cancer, Ministry of Instruction, University and Research, PRIN Program, Ministry of Health (Ricerca Sanitaria Finalizzata Program), Ministry of Labour and Welfare, Associazione Neuroblastoma, Piemonte Region (Ricerca Sanitaria Finalizzata Program), Liguria Region, Comitato per la vita “Daniele Chianelli”- Associazione per la Ricerca e la Cura delle Leucemie, Linfomi e Tumori di Adulti e Bambini (Perugia).

New Zealand, New Zealand Childhood Cancer Study (NZCCS) [82-84]

Research Investigators

John D. Dockerty, Peter G. Herbison, David C.G. Skegg, and J. Mark Elwood (University of Otago). Funding: Health Research Council of New Zealand (NZ), the NZ Lottery Grants Board, the Otago Medical School (Faculty Bequest Funds), the Cancer Society of NZ, the Otago Medical Research Foundation, and the A.B. de Lautour Charitable Trust.

United Kingdom, Oxford, Childhood Cancer Research Group (CCRG) [85-87] (

Research Investigators

Michael Murphy, Kate O’Neill, and CCRG staff (University of Oxford). Funding: Department of Health, Scottish Government, National Cancer Intelligence Network, and CHILDREN with CANCER, UK.

United Kingdom, United Kingdom Childhood Cancer Study (UKCCS) [88-90] (

Research Investigators

Eve Roman and Tracy Lightfoot (University of York), part of a team of ten clinical and epidemiological investigators, and two biological investigators (university departments, research institutes, and the National Health Service in Scotland). Funding: Leukaemia and Lymphoma Research.

United States, California State, California Childhood Leukemia Study (CCLS) [91]

Research and Clinical Investigators

Patricia A. Buffler and Catherine Metayer (University of California, Berkeley); Jonathan Ducore (University of California Davis Medical Center); Mignon Loh and Katherine Matthay (University of California, San Francisco); Vonda Crouse (Children’s Hospital of Central California); Gary Dahl (Lucile Packard Children’s Hospital); James Feusner (Children’s Hospital Oakland); Vincent Kiley (Kaiser Permanente Sacramento); Carolyn Russo and Alan Wong (Kaiser Permanente Santa Clara); Kenneth Leung (Kaiser Permanente San Francisco); Stacy Month (Kaiser Permanente Oakland). Funding: National Institute of Environmental Health Sciences, USA and the CHILDREN with CANCER, UK.

United States, Children’s Oncology Group (COG) [92-94]

( and

Research and Clinical Investigators

Logan Spector (University of Minnesota), and research and clinical investigators at the Children’s Oncology Group (COG) and Children’s Cancer Group (CCG) principal and affiliate member institutions. Funding: National Cancer Institute, USA, COG Foundation, and the National Childhood Cancer Foundation.

United States, Texas State

Research and Clinical Investigators

Melissa Bondy, M. Fatih Okcu, and Michael Scheurer (The Childhood Cancer Epidemiology and Prevention Center, Texas); David Poplack (Children’s Cancer Center); Armando Correa and Jean Raphael (Texas Children’s Hospital); Caryn Cohan and Anish Masharani (and the Texas Children’s Pediatric Associates-Bellaire Clinic).

United States, Washington State [95]

Research Investigators

Beth Mueller, Parveen Bhatti, Eric Chow, Bill O’Brien, Michelle Williams, Danise Podvin, Carrie Kuehn (University of Washington). Funding: Washington State Department of Health, the Cancer Surveillance System of Western Washington part of the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute, and the Fred Hutchinson Cancer Center.


Conflict of interest

None declared.


1. Parkin DM. International incidence of childhood cancer. II. Lyon, New York: International Agency for Research on Cancer, distributed in the USA by Oxford University Press; 1998.
2. Schottenfeld D, Fraumeni JF. Cancer epidemiology and prevention. 3. Oxford, New York: Oxford University Press; 2006.
3. Pui C-H. Childhood leukemias. 2. Cambridge: Cambridge University Press; 2006.
4. Pui CH, Carroll WL, Meshinchi S, Arceci RJ. Biology, risk stratification, and therapy of pediatric acute leukemias: an update. J Clin Oncol. 2011 Feb;29(5):551–65. [PMC free article] [PubMed]
5. Greaves MF, Wiemels J. Origins of chromosome translocations in childhood leukaemia. Nat Rev Cancer. 2003 Sep;3(9):639–49. [PubMed]
6. Urayama KY, Buffler PA, Gallagher ER, Ayoob JM, Ma X. A meta-analysis of the association between day-care attendance and childhood acute lymphoblastic leukaemia. Int J Epidemiol. 2010 Jun;39(3):718–32. [PMC free article] [PubMed]
7. Rudant J, Orsi L, Menegaux F, et al. Childhood acute leukemia, early common infections, and allergy: the ESCALE Study. Am J Epidemiol. 2010 Nov;172(9):1015–27. [PubMed]
8. Little J. Epidemiology of childhood cancer. Lyon, France, Oxford: International Agency for Research on Cancer, distributed by Oxford University Press; 1999.
9. McNally RJ, Eden TO. An infectious aetiology for childhood acute leukaemia: a review of the evidence. Br J Haematol. 2004 Nov;127(3):243–63. [PubMed]
10. Caughey RW, Michels KB. Birth weight and childhood leukemia: a meta-analysis and review of the current evidence. J Int Cancer. 2009 Jun;124(11):2658–70. [PubMed]
11. Turner MC, Wigle DT, Krewski D. Residential pesticides and childhood leukemia: a systematic review and meta-analysis. Environ Health Perspect. 2010 Jan;118(1):33–41. [PMC free article] [PubMed]
12. Chang JS, Selvin S, Metayer C, Crouse V, Golembesky A, Buffler PA. Parental smoking and the risk of childhood leukemia. Am J Epidemiol. 2006 Jun;163(12):1091–100. [PubMed]
13. Milne E, Greenop KR, Scott RJ, et al. Parental prenatal smoking and risk of childhood acute lymphoblastic leukemia. Am J Epidemiol. 2012 Jan;175(1):43–53. [PubMed]
14. Kwan ML, Jensen CD, Block G, Hudes ML, Chu LW, Buffler PA. Maternal diet and risk of childhood acute lymphoblastic leukemia. Public Health Rep. 2009 Jul-Aug;124(4):503–14. [PMC free article] [PubMed]
15. Tower RL, Spector LG. The epidemiology of childhood leukemia with a focus on birth weight and diet. Crit Rev Clin Lab Sci. 2007;44(3):203–42. [PubMed]
16. Infante-Rivard C, El-Zein M. Parental alcohol consumption and childhood cancers: a review. J Toxicol Environ Health B Crit Rev. 2007 Jan-Mar;10(1–2):101–29. [PubMed]
17. de Klerk N, Milne E. Overview of recent studies on childhood leukaemia, intrauterine growth and diet. Radiat Prot Dosimet. 2008;132(2):255–8. [PubMed]
18. Belson M, Kingsley B, Holmes A. Risk factors for acute leukemia in children: a review. Environ Health Perspect. 2007 Jan;115(1):138–45. [PMC free article] [PubMed]
19. Von Behren J, Reynolds P, Gunier RB, et al. Residential traffic density and childhood leukemia risk. Cancer Epidemiol Biomark Prevent. 2008 Sep;17(9):2298–301. [PMC free article] [PubMed]
20. Infante-Rivard C. Chemical risk factors and childhood leukaemia: a review of recent studies. Radiat Prot Dosimet. 2008;132(2):220–7. [PubMed]
21. Brosselin P, Rudant J, Orsi L, et al. Acute childhood leukaemia and residence next to petrol stations and automotive repair garages: the ESCALE study (SFCE) Occup Environ Med. 2009 Sep;66(9):598–606. [PubMed]
22. Amigou A, Sermage-Faure C, Orsi L, et al. Road traffic and childhood leukemia: the ESCALE study (SFCE) Environ Health Perspect. 2011 Apr;119(4):566–72. [PMC free article] [PubMed]
23. Bailey HD, de Klerk NH, Fritschi L, et al. Refuelling of vehicles, the use of wood burners and the risk of acute lymphoblastic leukaemia in childhood. Paediatr Perinat Epidemiol. 2011 Nov;25(6):528–39. [PubMed]
24. Infante-Rivard C, Krajinovic M, Labuda D, Sinnett D. Parental smoking, CYP1A1 genetic polymorphisms and childhood leukemia (Quebec, Canada) Cancer Causes Control. 2000 Jul;11(6):547–53. [PubMed]
25. Infante-Rivard C, Krajinovic M, Labuda D, Sinnett D. Childhood acute lymphoblastic leukemia associated with parental alcohol consumption and polymorphisms of carcinogen-metabolizing genes. Epidemiology. 2002 May;13(3):277–81. [PubMed]
26. Clavel J, Bellec S, Rebouissou S, et al. Childhood leukaemia, polymorphisms of metabolism enzyme genes, and interactions with maternal tobacco, coffee and alcohol consumption during pregnancy. Eur J Cancer Prev. 2005 Dec;14(6):531–40. [PubMed]
27. Infante-Rivard C, Vermunt JK, Weinberg CR. Excess transmission of the NAD(P)H:quinone oxidoreductase 1 (NQO1) C609T polymorphism in families of children with acute lymphoblastic leukemia. Am J Epidemiol. 2007 Jun;165(11):1248–54. [PMC free article] [PubMed]
28. Chokkalingam AP, Buffler PA. Genetic susceptibility to childhood leukaemia. Radiat Prot Dosimet. 2008;132(2):119–29. [PMC free article] [PubMed]
29. Yang Y, Tian Y, Jin X, et al. A case-only study of interactions between metabolic enzyme polymorphisms and industrial pollution in childhood acute leukemia. Environ Toxicol Pharmacol. 2009 Sep;28(2):161–6. [PubMed]
30. Zanrosso CW, Emerenciano M, Goncalves BA, Faro A, Koifman S, Pombo-de-Oliveira MS. N-acetyltransferase 2 polymorphisms and susceptibility to infant leukemia with maternal exposure to dipyrone during pregnancy. Cancer Epidemiol Biomark Prevent. 2010 Dec;19(12):3037–43. [PubMed]
31. Bonaventure A, Goujon-Bellec S, Rudant J, et al. Maternal smoking during pregnancy, genetic polymorphisms of metabolic enzymes, and childhood acute leukemia: the ESCALE Study (SFCE) Cancer Causes Control. 2012 Feb;23(2):329–45. [PubMed]
32. Zanrosso CW, Emerenciano M, Faro A, Goncalves BA, Mansur MB, Pombo-de-Oliveira MS. Genetic variability in N-acetyltransferase 2 gene determines susceptibility to childhood lymphoid or myeloid leukemia in Brazil. Leuk Lymphoma. 2012 Feb;53(2):323–7. [PubMed]
33. Chokkalingam AP, Bartley K, Wiemels JL, et al. Haplotypes of DNA repair and cell cycle control genes, X-ray exposure, and risk of childhood acute lymphoblastic leukemia. Cancer Causes Control. 2011 Dec;22(12):1721–30. [PMC free article] [PubMed]
34. Wang CH, Wu KH, Yang YL, et al. Association between Ataxia Telangiectasia Mutated gene polymorphisms and childhood leukemia in Taiwan. Chin J Physiol. 2011 Dec;54(6):413–8. [PubMed]
35. Lightfoot TJ, Johnston WT, Painter D, et al. Genetic variation in the folate metabolic pathway and risk of childhood leukemia. Blood. 2010 May;115(19):3923–9. [PubMed]
36. Metayer C, Scelo G, Chokkalingam AP, et al. Genetic variants in the folate pathway and risk of childhood acute lymphoblastic leukemia. Cancer Causes Control. 2011 Sep;22(9):1243–58. [PMC free article] [PubMed]
37. Yan J, Yin M, Dreyer ZE, et al. A meta-analysis of MTHFR C677T and A1298C polymorphisms and risk of acute lymphoblastic leukemia in children. Pediatr Blood Cancer. 2012 Apr;58(4):513–8. [PubMed]
38. Amigou A, Rudant J, Orsi L, et al. Folic acid supplementation, MTHFR and MTRR polymorphisms, and the risk of childhood leukemia: the ESCALE study (SFCE) Cancer Causes Control. 2012 Aug;23(8):1265–77. [PubMed]
39. Chang JS, Wiemels JL, Chokkalingam AP, et al. Genetic polymorphisms in adaptive immunity genes and childhood acute lymphoblastic leukemia. Cancer Epidemiol Biomark Prevent. 2010 Sep;19(9):2152–63. [PMC free article] [PubMed]
40. Almalte Z, Samarani S, Iannello A, et al. Novel associations between activating killer-cell immunoglobulin-like receptor genes and childhood leukemia. Blood. 2011 Aug;118(5):1323–8. [PubMed]
41. Han S, Lan Q, Park AK, et al. Polymorphisms in innate immunity genes and risk of childhood leukemia. Hum Immunol. 2010 Jul;71(7):727–30. [PMC free article] [PubMed]
42. Han S, Koo HH, Lan Q, et al. Common variation in genes related to immune response and risk of childhood leukemia. Hum Immunol. 2012 Mar;73(3):316–9. [PubMed]
43. Taylor M, Hussain A, Urayama K, et al. The human major histocompatibility complex and childhood leukemia: an etiological hypothesis based on molecular mimicry. Blood Cell Mol Dis. 2009 Mar-Apr;42(2):129–35. [PubMed]
44. Taylor M, Bergemann TL, Hussain A, Thompson PD, Spector L. Transmission of HLA-DP variants from parents to children with B-cell precursor acute lymphoblastic leukemia: log-linear analysis using the case–parent design. Hum Immunol. 2011 Oct;72(10):897–903. [PubMed]
45. Hosking FJ, Leslie S, Dilthey A, et al. MHC variation and risk of childhood B-cell precursor acute lymphoblastic leukemia. Blood. 2011 Feb;117(5):1633–40. [PubMed]
46. Papaemmanuil E, Hosking FJ, Vijayakrishnan J, et al. Loci on 7p12.2, 10q21.2 and 14q11.2 are associated with risk of childhood acute lymphoblastic leukemia. Nat Genet. 2009 Sep;41(9):1006–10. [PMC free article] [PubMed]
47. Trevino LR, Yang W, French D, et al. Germline genomic variants associated with childhood acute lymphoblastic leukemia. Nat Genet. 2009 Sep;41(9):1001–5. [PMC free article] [PubMed]
48. Sherborne AL, Hosking FJ, Prasad RB, et al. Variation in CDKN2A at 9p21.3 influences childhood acute lymphoblastic leukemia risk. Nat Genet. 2010 Jun;42(6):492–4. [PMC free article] [PubMed]
49. Han S, Lee KM, Park SK, et al. Genome-wide association study of childhood acute lymphoblastic leukemia in Korea. Leukemia Res. 2010 Oct;34(10):1271–4. [PubMed]
50. Prasad RB, Hosking FJ, Vijayakrishnan J, et al. Verification of the susceptibility loci on 7p12.2, 10q21.2, and 14q11.2 in precursor B-cell acute lymphoblastic leukemia of childhood. Blood. 2010 Mar;115(9):1765–7. [PubMed]
51. Yang W, Trevino LR, Yang JJ, et al. ARID5B SNP rs10821936 is associated with risk of childhood acute lymphoblastic leukemia in blacks and contributes to racial differences in leukemia incidence. Leukemia. 2010 Apr;24(4):894–6. [PMC free article] [PubMed]
52. Healy J, Richer C, Bourgey M, Kritikou EA, Sinnett D. Replication analysis confirms the association of ARID5B with childhood B-cell acute lymphoblastic leukemia. Haematologica. 2010 Sep;95(9):1608–11. [PubMed]
53. Vijayakrishnan J, Sherborne AL, Sawangpanich R, Hongeng S, Houlston RS, Pakakasama S. Variation at 7p12.2 and 10q21.2 influences childhood acute lymphoblastic leukemia risk in the Thai population and may contribute to racial differences in leukemia incidence. Leuk Lymphoma. 2010 Oct;51(10):1870–4. [PubMed]
54. Infante-Rivard C, Amre D, Sinnett D. GSTT1 and CYP2E1 polymorphisms and trihalomethanes in drinking water: effect on childhood leukemia. Environ Health Perspect. 2002 Jun;110(6):591–3. [PMC free article] [PubMed]
55. Infante-Rivard C, Labuda D, Krajinovic M, Sinnett D. Risk of childhood leukemia associated with exposure to pesticides and with gene polymorphisms. Epidemiology. 1999 Sep;10(5):481–7. [PubMed]
56. Krajinovic M, Richer C, Sinnett H, Labuda D, Sinnett D. Genetic polymorphisms of N-acetyltransferases 1 and 2 and gene–gene interaction in the susceptibility to childhood acute lymphoblastic leukemia. Cancer Epidemiol Biomark Prevent. 2000 Jun;9(6):557–62. [PubMed]
57. Infante-Rivard C, Mathonnet G, Sinnett D. Risk of childhood leukemia associated with diagnostic irradiation and polymorphisms in DNA repair genes. Environ Health Perspect. 2000 Jun;108(6):495–8. [PMC free article] [PubMed]
58. Milne E, de Klerk NH, van Bockxmeer F, et al. Is there a folate-related gene–environment interaction in the etiology of childhood acute lymphoblastic leukemia? Int Journal Cancer. 2006 Jul;119(1):229–32. [PubMed]
59. Urayama KY, Wiencke JK, Buffler PA, Chokkalingam AP, Metayer C, Wiemels JL. MDR1 gene variants, indoor insecticide exposure, and the risk of childhood acute lymphoblastic leukemia. Cancer Epidemiol Biomark Prevent. 2007 Jun;16(6):1172–7. [PubMed]
60. Yang Y, Jin X, Yan C, Tian Y, Tang J, Shen X. Case-only study of interactions between DNA repair genes (hMLH1, APEX1, MGMT, XRCC1 and XPD) and low-frequency electromagnetic fields in childhood acute leukemia. Leuk Lymphoma. 2008 Dec;49(12):2344–50. [PubMed]
61. Lee KM, Ward MH, Han S, et al. Paternal smoking, genetic polymorphisms in CYP1A1 and childhood leukemia risk. Leukemia Res. 2009 Feb;33(2):250–8. [PMC free article] [PubMed]
62. Orsi L, Rudant J, Bonaventure A, et al. Genetic polymorphisms and childhood acute lymphoblastic leukemia: GWAS of the ESCALE study (SFCE) Leukemia. 2012 Jun 4; [PubMed]
63. Perez-Saldivar ML, Fajardo-Gutierrez A, Bernaldez-Rios R, et al. Childhood acute leukemias are frequent in Mexico City: descriptive epidemiology. BMC Cancer. 2011;11:355. [PMC free article] [PubMed]
64. Milne E, Royle JA, Miller M, et al. Maternal folate and other vitamin supplementation during pregnancy and risk of acute lymphoblastic leukemia in the offspring. Int J Cancer. 2010 Jun;126(11):2690–9. [PubMed]
65. Brown RC, Dwyer T, Kasten C, et al. Cohort profile: the International Childhood Cancer Cohort Consortium (I4C) Int J Epidemiol. 2007 Aug;36(4):724–30. [PubMed]
66. Sherborne AL, Hemminki K, Kumar R, et al. Rationale for an international consortium to study inherited genetic susceptibility to childhood acute lymphoblastic leukemia. Haematologica. 2011 Jul;96(7):1049–54. [PubMed]
67. Milne E, Royle JA, de Klerk NH, et al. Fetal growth and risk of childhood acute lymphoblastic leukemia: results from an Australian case–control study. Am J Epidemiol. 2009 Jul;170(2):221–8. [PubMed]
68. Pombo-de-Oliveira MS, Koifman S. Brazilian Collaborative Study Group of Infant Acute L. Infant acute leukemia and maternal exposures during pregnancy. Cancer Epidemiol Biomark Prevent. 2006 Dec;15(12):2336–41. [PubMed]
69. Infante-Rivard C, Fortier I, Olson E. Markers of infection, breast-feeding and childhood acute lymphoblastic leukaemia. Br J Cancer. 2000 Dec;83(11):1559–64. [PMC free article] [PubMed]
70. Infante-Rivard C, Siemiatycki J, Lakhani R, Nadon L. Maternal exposure to occupational solvents and childhood leukemia. Environ Health Perspect. 2005 Jun;113(6):787–92. [PMC free article] [PubMed]
71. Krajinovic M, Labuda D, Richer C, Karimi S, Sinnett D. Susceptibility to childhood acute lymphoblastic leukemia: influence of CYP1A1,CYP2D6, GSTM1, and GSTT1 genetic polymorphisms. Blood. 1999 Mar;93(5):1496–501. [PubMed]
72. Krajinovic M, Lamothe S, Labuda D, et al. Role of MTHFR genetic polymorphisms in the susceptibility to childhood acute lymphoblastic leukemia. Blood. 2004 Jan;103(1):252–7. [PubMed]
73. Healy J, Belanger H, Beaulieu P, Lariviere M, Labuda D, Sinnett D. Promoter SNPs in G1/S checkpoint regulators and their impact on the susceptibility to childhood leukemia. Blood. 2007 Jan;109(2):683–92. [PubMed]
74. Jourdan-Da Silva N, Perel Y, Mechinaud F, et al. Infectious diseases in the first year of life, perinatal characteristics and childhood acute leukaemia. Br J Cancer. 2004 Jan 12;90(1):139–45. [PMC free article] [PubMed]
75. Schuz J, Kaletsch U, Meinert R, Kaatsch P, Michaelis J. Association of childhood leukaemia with factors related to the immune system. Br J Cancer. 1999 May;80(3–4):585–90. [PMC free article] [PubMed]
76. Schuz J, Morgan G, Bohler E, Kaatsch P, Michaelis J. A topic disease and childhood acute lymphoblastic leukemia. Int J Cancer. 2003 Jun;105(2):255–60. [PubMed]
77. Kaatsch P, Scheidemann-Wesp U, Schuz J. Maternal use of antibiotics and cancer in the offspring: results of a case–control study in Germany. Cancer Causes Control. 2010 Aug;21(8):1335–45. [PubMed]
78. Petridou E, Trichopoulos D, Dessypris N, et al. Infant leukaemia after in utero exposure to radiation from Chernobyl. Nature. 1996 Jul;382(6589):352–3. [PubMed]
79. Petridou ET, Pourtsidis A, Dessypris N, et al. Childhood leukaemias and lymphomas in Greece (1996–2006): a nationwide registration study. Archiv Dis Child. 2008 Dec;93(12):1027–32. [PubMed]
80. Petridou ET, Sergentanis TN, Panagopoulou P, et al. In vitro fertilization and risk of childhood leukemia in Greece and Sweden. Pediatr Blood Cancer. 2012 Jun;58(6):930–6. [PubMed]
81. Lagorio S, Ferrante D, Ranucci A, et al. Exposure to benzene and childhood leukaemia: a pilot case-control study. BMJ Open. 2013 in press. [PMC free article] [PubMed]
82. Dockerty JD, Becroft DM, Lewis ME, Williams SM. The accuracy and completeness of childhood cancer registration in New Zealand. Cancer Causes Control. 1997 Nov;8(6):857–64. [PubMed]
83. Dockerty JD, Skegg DC, Elwood JM, Herbison GP, Becroft DM, Lewis ME. Infections, vaccinations, and the risk of childhood leukaemia. Br J Cancer. 1999 Jul;80(9):1483–9. [PMC free article] [PubMed]
84. Dockerty JD, Herbison P, Skegg DC, Elwood M. Vitamin and mineral supplements in pregnancy and the risk of childhood acute lymphoblastic leukaemia: a case–control study. BMC Public Health. 2007;7:136. [PMC free article] [PubMed]
85. O’Neill KA, Bunch KJ, Vincent TJ, Spector LG, Moorman AV, Murphy MF. Immunophenotype and cytogenetic characteristics in the relationship between birth weight and childhood leukemia. Pediatr Blood Cancer. 2012 Jan;58(1):7–11. [PubMed]
86. Kendall GM, Little MP, Wakeford R, et al. A record-based case–control study of natural background radiation and the incidence of childhood leukaemia and other cancers in Great Britain during 1980–2006. Leukemia. 2012 Jun 5; [PMC free article] [PubMed]
87. Keegan TJ, Bunch KJ, Vincent TJ, et al. Case–control study of paternal occupation and childhood leukaemia in Great Britain, 1962–2006. Br J Cancer. 2012 Sep 11; [PMC free article] [PubMed]
88. UK Childhood Cancer Study Investigators. The United Kingdom Childhood Cancer Study: objectives, materials and methods. Br J Cancer. 2000 Mar;82(5):1073–102. [PMC free article] [PubMed]
89. Smith A, Roman E, Simpson J, Ansell P, Fear NT, Eden T. Childhood leukaemia and socioeconomic status: fact or artefact? A report from the United Kingdom childhood cancer study (UKCCS) Int J Epidemiol. 2006 Dec;35(6):1504–13. [PubMed]
90. Roman E, Simpson J, Ansell P, et al. Childhood acute lymphoblastic leukemia and infections in the first year of life: a report from the United Kingdom Childhood Cancer Study. Am J Epidemiol. 2007 Mar;165(5):496–504. [PubMed]
91. Bartley K, Metayer C, Selvin S, Ducore J, Buffler P. Diagnostic X-rays and risk of childhood leukaemia. Int J Epidemiol. 2010 Dec;39(6):1628–37. [PMC free article] [PubMed]
92. Brondum J, Shu XO, Steinbuch M, Severson RK, Potter JD, Robison LL. Parental cigarette smoking and the risk of acute leukemia in children. Cancer. 1999 Mar;85(6):1380–8. [PubMed]
93. Shu XO, Potter JD, Linet MS, et al. Diagnostic X-rays and ultrasound exposure and risk of childhood acute lymphoblastic leukemia by immunophenotype. Cancer Epidemiol Biomark Prevent. 2002 Feb;11(2):177–85. [PubMed]
94. Zierhut H, Linet MS, Robison LL, Severson RK, Spector L. Family history of cancer and non-malignant diseases and risk of childhood acute lymphoblastic leukemia: a Children’s Oncology Group Study. Cancer Epidemiol. 2012 Feb;36(1):45–51. [PMC free article] [PubMed]
95. Podvin D, Kuehn CM, Mueller BA, Williams M. Maternal and birth characteristics in relation to childhood leukaemia. Paediatr Perinat Epidemiol. 2006 Jul;20(4):312–22. [PubMed]