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The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States.

ABSTRACT: There is an association between chronic disease and geography, and there is evidence that the environment plays a critical role in this relationship. Yet at the same time, there is known to be substantial geographic variation by ancestry across the United States. Resulting geographic genetic variation-that is, the extent to which single nucleotide polymorphisms (SNPs) related to chronic disease vary spatially-could thus drive some part of the association between geography and disease. We describe the variation in chronic disease genetic risk by state of birth by taking risk SNPs from genome-wide association study meta-analyses for coronary artery disease, diabetes, and ischemic stroke and creating polygenic risk scores. We compare the amount of variability across state of birth in these polygenic scores to the variability in parental education, own education, earnings, and wealth. Our primary finding is that the polygenic risk scores are only weakly differentially distributed across U.S. states. The magnitude of the differences in geographic distribution is very small in comparison to the distribution of social and economic factors and thus is not likely sufficient to have a meaningful effect on geographic disease differences by U.S. state.

SUBMITTER: Rehkopf DH

PROVIDER: S-EPMC4899969 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States.

Rehkopf David H DH Domingue Benjamin W BW Cullen Mark R MR

Biodemography and social biology 20160101 1

There is an association between chronic disease and geography, and there is evidence that the environment plays a critical role in this relationship. Yet at the same time, there is known to be substantial geographic variation by ancestry across the United States. Resulting geographic genetic variation-that is, the extent to which single nucleotide polymorphisms (SNPs) related to chronic disease vary spatially-could thus drive some part of the association between geography and disease. We describ ...[more]

PMID: 27050037

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Project description:BackgroundRegionalized trauma care improves outcomes; however, access to care is not uniform across the United States. The objective was to evaluate whether geographic distribution of trauma centers correlates with injury mortality across state trauma systems.MethodsLevel I or II trauma centers in the contiguous United States were mapped. State-level age-adjusted injury fatality rates per 100,000 people were obtained and evaluated for spatial autocorrelation. Nearest neighbor ratios (NNRs) were generated for each state. A NNR less than 1 indicates clustering, while a NNR greater than 1 indicates dispersion. NNRs were tested for difference from random geographic distribution. Fatality rates and NNRs were examined for correlation. Fatality rates were compared between states with trauma center clustering versus dispersion. Trauma center distribution and population density were evaluated. Spatial-lag regression determined the association between fatality rate and NNR, controlling for state-level demographics, population density, injury severity, trauma system resources, and socioeconomic factors.ResultsFatality rates were spatially autocorrelated (Moran's I = 0.35, p < 0.01). Nine states had a clustered pattern (median NNR, 0.55; interquartile range [IQR], 0.48-0.60), 22 had a dispersed pattern (median NNR, 2.00; IQR, 1.68-3.99), and 10 had a random pattern (median NNR, 0.90; IQR, 0.85-1.00) of trauma center distribution. Fatality rate and NNR were correlated (ρ = 0.34, p = 0.03). Clustered states had a lower median injury fatality rate compared with dispersed states (56.9 [IQR, 46.5-58.9] vs. 64.9 [IQR, 52.5-77.1]; p = 0.04). Dispersed compared with clustered states had more counties without a trauma center that had higher population density than counties with a trauma center (5.7% vs. 1.2%, p < 0.01). Spatial-lag regression demonstrated that fatality rates increased by 0.02 per 100,000 persons for each unit increase in NNR (p < 0.01).ConclusionGeographic distribution of trauma centers correlates with injury mortality, with more clustered state trauma centers associated with lower fatality rates. This may be a result of access relative to population density. These results may have implications for trauma system planning and require further study to investigate underlying mechanisms.Level of evidenceTherapeutic/care management study, level IV.

Project description:RationaleNontuberculous mycobacteria are an important cause of morbidity in the United States, although patient outcomes vary greatly by species. Currently, nationally representative data on the distribution of mycobacterial species from clinical isolates are limited.ObjectivesUsing a national hospitalization database capturing microbiologic data for nearly 6 million patient encounters, we describe the geographic distribution of, and patient demographic features associated with, clinical mycobacterial isolates in the United States.MethodsLinked demographic and microbiologic data from the Premier Healthcare Database were extracted for all patient encounters from 2009 to 2013. Patients with at least one positive potentially pathogenic nontuberculous mycobacterial culture were identified as cases. The period prevalence was calculated, and patient-, encounter-, and hospital-level factors were analyzed. Regional differences in species distribution were analyzed; a subanalysis was conducted among patients with International Classification of Diseases, Ninth Revision, codes for pulmonary nontuberculous mycobacterial disease. Significant differences were assessed (P?<?0.05).ResultsOf 5,928,830 unique patients included during the 5-year study period, 7,812 (0.13%) had at least one positive nontuberculous mycobacterial culture. The mean age of cases was 64 years (range, <1-89 yr), and most were female (52%) and white (70%). Hospitals with cases were more often labeled "urban" (96%), "teaching" (56%), and had at least 500 beds (78%). Species distribution differed significantly by geographic area. Mycobacterium avium complex ranged from 61 to 91% of isolates and were most frequent in the South and Northeast regions; M. abscessus/M. chelonae ranged from 2 to 18% of isolates and were most frequent in the West; and other species, including M. fortuitum and M. kansasii, ranged from 7 to 26% and were also most frequent in the West.ConclusionsSignificant geographic variation exists in the distribution of nontuberculous mycobacterial species in the United States. Whereas M. avium complex was the most common species isolated in the South, M. abscessus/M. chelonae was proportionately higher in the West. Greater clinical awareness in regions with increased levels of harder-to-treat mycobacteria are needed, given differences in treatment options and implications for patient outcomes.

Dataset Information

The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States.

Publications

The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States.

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