Dhelia M. Williamson

Current Research in Preterm Birth

Preterm birth is one of the leading causes of infant mortality and the leading cause of infant morbidity in the United States. It accounts for >70% of neonatal deaths and almost half of long-term neurological disabilities. The Centers for Disease Control and Prevention (CDC) is collaborating with state health departments, universities, communities, and healthcare providers to understand why preterm births occur and how to address preterm birth risk factors. These collaborations include identification of genetic and other biological markers for the early detection of women at high risk of preterm birth; improving understanding of the relationships among psychosocial stress, immune and inflammatory responses, and preterm risk; and designing community strategies to improve the health of pregnant women. By conducting public health research activities that explore the genetic, biological, clinical, behavioral, social, and community determinants of preterm birth, CDC will continue to elucidate the complex interactions of these factors and how they influence preterm birth.

Multiple sclerosis prevalence and possible lead exposure

This study was conducted to estimate the current prevalence of multiple sclerosis (MS) in Jefferson County, Missouri, USA, and to address community concerns about a perceived excess of MS around an active lead smelter. The study population consisted of the residents of Jefferson County, Missouri between 1998 and 2002. An aggressive MS case finding with capture-recapture analysis was used. The spatial clustering was examined using a spatial scan statistic. The capture-recapture analysis showed the case ascertainment to be 95%. The crude five-year period prevalence of MS in Jefferson County was 105 per 100,000 population (95% confidence interval [CI], 91-121), and 107 per 100,000 (95% CI, 95-119) when age-standardized to the 2000 U.S. population. No significant spatial clusters of MS cases were identified in the study area. The estimates of MS prevalence in Mid-western community of USA appeared to be comparable to estimates from other areas of similar latitude in the United States and Western Europe. The MS cases did not appear to cluster around the lead smelter.

Evaluation of serum immunoglobulins among individuals living near six superfund sites

Residents living in communities near Superfund sites have expressed concern that releases from these facilities affect their health, including adverse effects on their immune systems. We used data from six cross-sectional studies to evaluate whether people who live near several Superfund sites are more likely to have individual immunoglobulin test results (IgA, IgG, and IgM) below or above the reference range than those who live in comparison areas with no Superfund site. Study participants consisted of target-area residents who lived close to a Superfund site and comparison-area residents who were not located near any Superfund or hazardous waste sites. A consistent modeling strategy was used across studies to assess the magnitude of the relationship between area of residence and immunoglobulin test results, adjusting for potential confounders and effect modifiers. In all study areas, the results suggest that people who live near a Superfund site may have been more likely to have IgA test results above the reference range than comparison areas residents regardless of modeling strategy employed. The effect measures were larger for residents who lived in communities near military bases with groundwater contamination. For all analyses the wide confidence intervals reflect uncertainty in the magnitude of these effects. To adequately address the question of whether the immune system is affected by low-level exposures to hazardous substances, we recommend that more functional immunotoxicity tests be conducted in human populations where individual exposure information is available or when it can be reasonably estimated from environmental exposure measurements.

Communicating results to community residents: lessons from recent ATSDR health investigations.

As a public health agency within the US Department of Health and Human Services, the Agency for Toxic Substances and Disease Registry (ATSDR) is responsible for implementing the health-related provisions of the Superfund Act. Much of its work is carried out to address health concerns in communities near sources of environmental contamination, usually in consultation with other local, state, and federal agencies. Over the last decade, ATSDR has considered, supported or conducted health investigations in a variety of different communities across the country. Communication with community residents has been an integral part of the process in all of these activities. The approach to communicating results needs to begin early by developing relationships and clarifying expectations, and it needs to remain flexible. Through examples taken from specific situations, we illustrate many of the lessons we have gained from trying to apply the principles of good community involvement to the design and conduct of health investigations and to the communication of study results.

Design, methodological issues and participation in a multiple sclerosis case–control study

This study was conducted to determine whether the risk of developing multiple sclerosis (MS) was associated with certain environmental exposures or genetic factors previously reported to influence MS risk. This paper describes the methodological issues, study design and characteristics of the study population.

Effect of population stratification on the identification of significant single-nucleotide polymorphisms in genome-wide association studies.

The North American Rheumatoid Arthritis Consortium case-control study collected case participants across the United States and control participants from New York. More than 500,000 single-nucleotide polymorphisms (SNPs) were genotyped in the sample of 2000 cases and controls. Careful adjustment for the confounding effect of population stratification must be conducted when analyzing these data; the variance inflation factor (VIF) without adjustment is 1.44. In the primary analyses of these data, a clustering algorithm in the program PLINK was used to reduce the VIF to 1.14, after which genomic control was used to control residual confounding. Here we use stratification scores to achieve a unified and coherent control for confounding. We used the first 10 principal components, calculated genome-wide using a set of 81,500 loci that had been selected to have low pair-wise linkage disequilibrium, as risk factors in a logistic model to calculate the stratification score. We then divided the data into five strata based on quantiles of the stratification score. The VIF of these stratified data is 1.04, indicating substantial control of stratification. However, after control for stratification, we find that there are no significant loci associated with rheumatoid arthritis outside of the HLA region. In particular, we find no evidence for association of TRAF1-C5 with rheumatoid arthritis.

Challenges in Addressing Community Concerns Regarding Clusters of Multiple Sclerosis and Potential Environmental Exposures

Citizens living around hazardous waste sites in the USA have expressed concern to public health officials at the local, state and federal level about a perceived high prevalence of multiple sclerosis (MS) in their communities. Many believe the occurrence of the disease is directly linked to exposure to chemical agents from the nearby hazardous waste site. Although the public’s concern regarding these clusters should be addressed, epidemiologists have long known that evaluating perceived clusters is rarely fruitful for identifying an etiologic agent. In order to adequately address concerns regarding clusters of MS, as well as examining the role of environmental exposures and genetic susceptibility in the causal mechanism of disease, several activities need to be conducted including characterizing the occurrence of disease, developing a standardized case definition and establishing partnerships to develop innovative research techniques. Only with collaboration across disciplines and lessons learned from past research will we be able to effectively guide research efforts directed at determining the etiology of this disease.

California Very Preterm Birth Study: design and characteristics of the population- and biospecimen bank-based nested case–control study

Very preterm birth (VPTB) is a leading cause of infant mortality, morbidity and racial disparity in the US. The underlying causes of VPTB are multiple and poorly understood. The California Very Preterm Birth Study was conducted to discover maternal and infant genetic and environmental factors associated with VPTB. This paper describes the study design, population, data and specimen collection, laboratory methods and characteristics of the study population. Using a large, population-based cohort created through record linkage of livebirths delivered from 2000 to 2007 in five counties of southern California, and existing data and banked specimens from statewide prenatal and newborn screening, 1100 VPTB cases and 796 control mother-infant pairs were selected for study (385/200 White, 385/253 Hispanic and 330/343 Black cases/controls, respectively). Medical record abstraction of cases was conducted at over 50 hospitals to identify spontaneous VPTB, improve accuracy of gestational age, obtain relevant clinical data and exclude cases that did not meet eligibility criteria. VPTB was defined as birth at <32 weeks in Whites and Hispanics and <34 weeks in Blacks. Approximately 55% of all VPTBs were spontaneous and 45% had medical indications or other exclusions. Of the spontaneous VPTBs, approximately 41% were reported to have chorioamnionitis. While the current focus of the California Very Preterm Birth Study is to assess the role of candidate genetic markers on spontaneous VPTB, its design enables the pursuit of other research opportunities to identify social, clinical and biological determinants of different types of VPTB with the ultimate aim of reducing infant mortality, morbidity and racial disparities in these health outcomes in the US and elsewhere.

Heavy metals, organic solvents and multiple sclerosis: an exploratory look at gene-environment interactions

ABSTRACT Exposure to heavy metals and organic solvents are potential etiologic factors for multiple sclerosis (MS), but their interaction with MS-associated genes is under-studied. The authors explored the relationship between environmental exposure to lead, mercury, and solvents and 58 single-nucleotide polymorphisms (SNPs) in MS-associated genes. Data from a population-based case-control study of 217 prevalent MS cases and 496 age-, race-, gender-, and geographically matched controls were used to fit conditional logistic regression models of the association between the chemical, gene, and MS, adjusting for education and ancestry. MS cases were more likely than controls to report lead (odds ratio [OR] = 2.03; 95% confidence interval [CI]: 1.07, 3.86) and mercury exposure (OR = 2.06; 95% CI: 1.08, 3.91). Findings of potential gene-environment interactions between SNPs in TNF-α, TNF-β, TCA-β, VDR, MBP, and APOE, and lead, mercury, or solvents should be considered cautiously due to limited sample size.