Race/ethnicity and the risk of childhood leukaemia: a case-control study in California.

BackgroundWe conducted a large registry-based study in California to investigate the association between race/ethnicity and childhood leukaemia focusing on two subtypes: acute lymphoblastic leukaemia (ALL) and acute myeloid leukaemia (AML).MethodsWe obtained information on 5788 cases and 5788 controls by linking California cancer and birth registries. We evaluated relative risk of childhood leukaemia by race and ethnicity of the child and their parents using conditional logistic regression, with adjustment for potential confounders.ResultsCompared with Whites, Black children had lower risk of ALL (OR=0.54, 95% CI 0.45 to 0.66) as well as children of Black/Asian parents (OR=0.31, 95% CI 0.10 to 0.94). Asian race was associated with increased risk of AML with OR=1.643, 95% CI 1.10 to 2.46 for Asian vs Whites; and OR=1.67, 95% CI 1.04 to 2.70 for Asian/Asian vs White/White. Hispanic ethnicity was associated with increased risk of ALL (OR=1.37, 95% CI 1.22 to 1.52). A gradient in risk of ALL was observed while comparing Hispanic children with both parents Hispanic, one parent Hispanic and non-Hispanic children (p Value for trend <0.0001). The highest risk of ALL was observed for children with a combination of Hispanic ethnicity and White race compared with non-Hispanic whites (OR=1.27, 95% CI 1.12 to 1.44). The lowest risk was observed for non-Hispanic blacks (OR=0.46, 95% CI 0.36 to 0.60). Associations for total childhood leukaemia were similar to ALL.ConclusionsOur results confirm that there are ethnic and racial differences in the incidence of childhood leukaemia. These differences indicate that some genetic and/or environmental/cultural factors are involved in aetiology of childhood leukaemia

Challenges in Identifying Native Hawaiians and Pacific Islanders in Population-Based Cancer Registries in the U.S.

Lack of disaggregated data for Native Hawaiians and Pacific Islanders (NHPIs) in the U.S. has resulted in severe gaps in understanding health disparities and unique health needs of NHPIs. Telephone interviews were conducted with 272 cancer patients identified by a population-based cancer registry. The self-reported NHPIs status was compared with that identified by the registry. Sensitivity, Specificity, Positive Predictive Value (PPV), and Negative Predictive Value (NPV) were calculated. Alternative NHPIs identification methods were explored. The registry had acceptable sensitivity (89%), specificity (96%) and NPV (99%), but low PPV (62%) in identifying NHPIs. Using additional information on surname and birthplace from the registry improved the identification of NHPIs, but either increased the false positive or decreased the counts of true NHPIs cases. Improved data collection methods and practices in identifying NHPIs in population-based cancer registries are needed and caution in interpreting cancer data for NHPIs is warranted

Agricultural paraquat dichloride use and Parkinsons disease in Californias Central Valley.

BACKGROUND: Paraquat dichloride is currently among the most widely used commercial herbicides in the USA. In the present study, we provide epidemiological assessment of ambient paraquat exposure and Parkinsons disease (PD) risk in a population-based study of PD in agricultural regions of Central California. METHODS: Based on 829 PD patients and 824 community controls, we assessed associations between ambient paraquat dichloride exposure and PD. We estimated residential and workplace proximity to commercial agricultural applications in three California counties since 1974 using the CA pesticide use reporting (PUR) data and land use maps. We evaluated any, duration and average intensity [pounds (0.45 kilograms) per acre per year] of exposure for paraquat in four time windows. RESULTS: Ambient paraquat exposure assessed at both residence and workplace was associated with PD, based on several different exposure measures. The PD patients both lived and worked near agricultural facilities applying greater amounts of the herbicide than community controls. For workplace proximity to commercial applications since 1974, working near paraquat applications every year in the window [odds ratio (OR) = 2.15, 95% confidence interval (CI) = 1.46, 3.19] and a higher average intensity of exposure [per 10 pounds (4.54 kilograms), OR = 2.08, 95% CI = 1.31, 3.38] were both associated with an increased odds of PD. Similar associations were observed for residential proximity (duration: OR = 1.91, 95% CI = 1.30, 2.83; average intensity: OR = 1.72, 95% CI = 0.99, 3.04). Risk estimates were comparable for men and women, and the strongest odds were observed for those diagnosed at ≤60 years of age. CONCLUSION: This study provides further indication that paraquat dichloride exposure increases the risk of Parkinsons disease

Maternal pre-pregnancy and gestational diabetes, obesity, gestational weight gain, and risk of cancer in young children: a population-based study in California

PURPOSE: We aimed to examine the influence of pre-pregnancy diabetes, pre-pregnancy body mass index (BMI), gestational diabetes, and gestational weight gain on childhood cancer risk in offspring. METHODS: We identified cancer cases (n=11,149) younger than age 6 years at diagnosis from the California Cancer Registry registered between 1988–2013. Controls (n=270,147) were randomly sampled from California birth records, and frequency-matched by year of birth to all childhood cancers during the study period. Exposure and covariate information was extracted from birth records. Unconditional logistic regression models were generated to assess the importance of pre-pregnancy diabetes, pre-pregnancy BMI, gestational diabetes, and gestational weight gain on childhood cancer risk. RESULTS: We observed increased risks of acute lymphoblastic leukemia (ALL) and Wilms’ tumor in children of mothers with pre-pregnancy diabetes [odds ratio (OR) =1.37, 95% confidence interval (CI): (1.11, 1.69), OR=1.45, 95% CI: (0.97, 2.18), respectively]. When born to mothers who were overweight prior to pregnancy (BMI 25–<30), children were at increased risk of leukemia [OR=1.27, 95% CI: (1.01, 1.59)]. Insufficient gestational weight gain increased the risk of acute myeloid leukemia (AML) [OR=1.50 (95% CI: 0.92, 2.42)] while excessive gestational weight gain increased the risk of astrocytomas [OR=1.56, 95% CI: (0.97, 2.50)]. No associations were found between gestational diabetes and childhood cancer risk in offspring. CONCLUSIONS: We estimated elevated risks of several childhood cancers in the offspring of mothers who had diabetes and were overweight prior to pregnancy, as well as mothers who gained insufficient or excessive weight. Since few studies have focused on these factors in relation to childhood cancer, replication of our findings in future studies is warranted

Traffic-Related Air Toxics and Term Low Birth Weight in Los Angeles County, California

Background: Numerous studies have linked criteria air pollutants with adverse birth outcomes, but there is less information on the importance of specific emission sources, such as traffic, and air toxics

An effective and efficient approach for manually improving geocoded data

<p>Abstract</p> <p>Background</p> <p>The process of geocoding produces output coordinates of varying degrees of quality. Previous studies have revealed that simply excluding records with low-quality geocodes from analysis can introduce significant bias, but depending on the number and severity of the inaccuracies, their inclusion may also lead to bias. Little quantitative research has been presented on the cost and/or effectiveness of correcting geocodes through manual interactive processes, so the most cost effective methods for improving geocoded data are unclear. The present work investigates the time and effort required to correct geocodes contained in five health-related datasets that represent examples of data commonly used in Health GIS.</p> <p>Results</p> <p>Geocode correction was attempted on five health-related datasets containing a total of 22,317 records. The complete processing of these data took 11.4 weeks (427 hours), averaging 69 seconds of processing time per record. Overall, the geocodes associated with 12,280 (55%) of records were successfully improved, taking 95 seconds of processing time per corrected record on average across all five datasets. Geocode correction improved the overall match rate (the number of successful matches out of the total attempted) from 79.3 to 95%. The spatial shift between the location of original successfully matched geocodes and their corrected improved counterparts averaged 9.9 km per corrected record. After geocode correction the number of city and USPS ZIP code accuracy geocodes were reduced from 10,959 and 1,031 to 6,284 and 200, respectively, while the number of building centroid accuracy geocodes increased from 0 to 2,261.</p> <p>Conclusion</p> <p>The results indicate that manual geocode correction using a web-based interactive approach is a feasible and cost effective method for improving the quality of geocoded data. The level of effort required varies depending on the type of data geocoded. These results can be used to choose between data improvement options (e.g., manual intervention, pseudocoding/geo-imputation, field GPS readings).</p

NFE2L2, PPARGC1α, and pesticides and Parkinson’s disease risk and progression

ObjectiveTo investigate three expression-altering NFE2L2 SNPs and four PPARGC1α previously implicated SNPs and pesticides on Parkinson's disease (PD) risk and symptom progression.MethodsIn 472 PD patients and 532 population-based controls, we examined variants and their interactions with maneb and paraquat (MB/PQ) pesticide exposure on PD onset (logistic regression) and progression of motor symptoms and cognitive decline (n = 192; linear repeated measures).ResultsNFE2L2 rs6721961 T allele was associated with a reduced risk of PD (OR = 0.70, 95% CI = 0.53, 0.94) and slower cognitive decline (β = 0.095; p = 0.0004). None of the PPARGC1α SNPs were marginally associated with PD risk. We estimate statistical interactions between MB/PQ and PPARGC1α rs6821591 (interaction p = 0.009) and rs8192678 (interaction p = 0.05), such that those with high exposure and the variant allele were at an increased risk of PD (OR ≥ 1.30, p ≤ 0.05). PPARGC1α rs6821591 was also associated with faster motor symptom progression as measured with the UPDRS-III (β = 0.234; p = 0.001).ConclusionOur study provides support for the involvement of both NFE2L2 and PPARGC1α in PD susceptibility and progression, marginally and through pathways involving MB/PQ exposure

An epigenome-wide association study of ambient pyrethroid pesticide exposures in California's central valley

BackgroundPyrethroid pesticide use is increasing worldwide, although the full extent of associated health effects is unknown. An epigenome-wide association study (EWAS) with exploratory pathway analysis may help identify potential pyrethroid-related health effects.MethodsWe performed an exploratory EWAS of chronic ambient pyrethroid exposure using control participants' blood in the Parkinson's Environment and Genes Study in the Central Valley of California (N&nbsp;=&nbsp;237). We estimated associations of living and working near agricultural pyrethroid pesticide applications in the past 5 years (binary) with site-specific differential methylation, and used a false discovery rate (FDR) cut off of 0.05 for significance. We controlled for age, sex, education, cell count, and an ancestral marker for Hispanic ethnicity. We normalized methylation values for Type I/II probe bias using Beta-Mixture Quantile (BMIQ) normalization, filtered out cross-reactive probes, and evaluated for remaining bias with Surrogate Variable Analysis (SVA). We also evaluated the effects of controlling for cell count and normalizing for Type I/II probe bias by comparing changes in effect estimates and p-values for the top hits across BMIQ and GenomeStudio normalization methods, and controlling for cell count. To facilitate broader interpretation, we annotated genes to the CpG sites and performed gene set overrepresentation analysis, using genes annotated to CpG sites that were associated with pyrethroids at a raw p&nbsp;&lt;&nbsp;0.05, and controlling for background representation of CpG sites on the chip. We did this for both a biological process context (Gene Ontology terms) using missMethyl, and a disease set context using WebGestalt. For these gene set overrepresentation analyses we also used an FDR cut off of 0.05 for significance of gene sets.ResultsAfter controlling for cell count and applying BMIQ normalization, 4 CpG sites were differentially methylated in relation to pyrethroid exposures. When using GenomeStudio's Illumina normalization, 415 CpG sites were differentially methylated, including all four identified with the BMIQ method. In the gene set overrepresentation analyses, we identified 6 GO terms using BMIQ normalization, and 76 using Illumina normalization, including the 6 identified by BMIQ. For disease sets, we identified signals for Alzheimer's disease, leukemia and several other cancers, diabetes, birth defects, and other diseases, for both normalization methods. We identified minimal changes in effect estimates after controlling for cell count, and controlling for cell count generally weakened p-values. BMIQ normalization, however, resulted in different beta coefficients and weakened p-values.ConclusionsChronic ambient pyrethroid exposure is associated with differential methylation at CpG sites that annotate to a wide variety of disease states and biological mechanisms that align with prior research. However, this EWAS also implicates several novel diseases for future investigation, and highlights the relative importance of different background normalization methods in identifying associations

Well-Water Consumption and Parkinson’s Disease in Rural California

IntroductionInvestigators have hypothesized that consuming pesticide-contaminated well water plays a role in Parkinson's disease (PD), and several previous epidemiologic studies support this hypothesis.ObjectivesWe investigated whether consuming water from private wells located in areas with documented historical pesticide use was associated with an increased risk of PD.MethodsWe employed a geographic information system (GIS)-based model to estimate potential well-water contamination from agricultural pesticides among 368 cases and 341 population controls enrolled in the Parkinson's Environment and Genes Study (PEG). We separately examined 6 pesticides (diazinon, chlorpyrifos, propargite, paraquat, dimethoate, and methomyl) from among 26 chemicals selected for their potential to pollute groundwater or for their interest in PD, and because at least 10% of our population was exposed to them.ResultsCases were more likely to have consumed private well water and to have consumed it on average 4.3 years longer than controls (p = 0.02). High levels of possible well-water contamination with methomyl [odds ratio (OR) = 1.67; 95% confidence interval (CI), 1.00-2.78]), chlorpyrifos (OR = 1.87; 95% CI, 1.05-3.31), and propargite (OR = 1.92; 95% CI, 1.15-3.20) resulted in approximately 70-90% increases in relative risk of PD. Adjusting for ambient pesticide exposures only slightly attenuated these increases. Exposure to a higher number of water-soluble pesticides and organophosphate pesticides also increased the relative risk of PD.ConclusionOur study, the first to use agricultural pesticide application records, adds evidence that consuming well water presumably contaminated with pesticides may play a role in the etiology of PD