Investigation of spatio-temporal cancer clusters using residential histories in a case-control study of non-Hodgkin lymphoma in the United States

Rikke Baastrup Nordsborg, Chantel D. Sloan, Haseeb Shahid, Geoffrey M. Jacquez, Anneclaire J. De Roos, James R Cerhan, Wendy Cozen, Richard Severson, Mary H. Ward, Lindsay Morton, Ole Raaschou-Nielsen, Jaymie R. Meliker

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: Non-Hodgkin lymphoma (NHL) is an enigmatic disease with few known risk factors. Spatio-temporal epidemiologic analyses have the potential to reveal patterns that may give clues to new risk factors worthy of investigation. We sought to investigate clusters of NHL through space and time based on life course residential histories. Methods: We used residential histories from a population-based NHL case-control study of 1300 cases and 1044 controls with recruitment centers in Iowa, Detroit, Seattle, and Los Angeles, and diagnosed in 1998-2000. Novel methods for cluster detection allowing for residential mobility, called Q-statistics, were used to quantify nearest neighbor relationships through space and time over the life course to identify cancer clusters. Analyses were performed on all cases together and on two subgroups of NHL: Diffuse large B-cell lymphoma and follicular lymphoma. These more homogenous subgroups of cases might have a more common etiology that could potentially be detected in cluster analysis. Based on simulation studies designed to help account for multiple testing across space and through time, we required at least four significant cases nearby one another to declare a region a potential cluster, along with confirmatory analyses using spatial-only scanning windows (SaTScan). Results: Evidence of a small cluster in southeastern Oakland County, MI was suggested using residences 10-18 years prior to diagnosis, and confirmed by SaTScan in a time-slice analysis 20 years prior to diagnosis, when all cases were included in the analysis. Consistent evidence of clusters was not seen in the two histologic subgroups. Conclusions: Suggestive evidence of a small space-time cluster in southeastern Oakland County, MI was detected in this NHL case-control study in the USA.

Original languageEnglish (US)
JournalEnvironmental Health: A Global Access Science Source
DOIs
StateAccepted/In press - Jun 5 2015

Fingerprint

Non-Hodgkin's Lymphoma
Case-Control Studies
Neoplasms
Spatio-Temporal Analysis
Follicular Lymphoma
Spatial Analysis
Los Angeles
Lymphoma, Large B-Cell, Diffuse
Population Dynamics
Cluster Analysis
Population

Keywords

  • Cancer
  • Non-Hodgkin lymphoma
  • Q-statistics
  • Residential histories
  • Spatio-temporal cluster analysis

ASJC Scopus subject areas

  • Health, Toxicology and Mutagenesis
  • Public Health, Environmental and Occupational Health

Cite this

Investigation of spatio-temporal cancer clusters using residential histories in a case-control study of non-Hodgkin lymphoma in the United States. / Nordsborg, Rikke Baastrup; Sloan, Chantel D.; Shahid, Haseeb; Jacquez, Geoffrey M.; De Roos, Anneclaire J.; Cerhan, James R; Cozen, Wendy; Severson, Richard; Ward, Mary H.; Morton, Lindsay; Raaschou-Nielsen, Ole; Meliker, Jaymie R.

In: Environmental Health: A Global Access Science Source, 05.06.2015.

Research output: Contribution to journalArticle

Nordsborg, Rikke Baastrup ; Sloan, Chantel D. ; Shahid, Haseeb ; Jacquez, Geoffrey M. ; De Roos, Anneclaire J. ; Cerhan, James R ; Cozen, Wendy ; Severson, Richard ; Ward, Mary H. ; Morton, Lindsay ; Raaschou-Nielsen, Ole ; Meliker, Jaymie R. / Investigation of spatio-temporal cancer clusters using residential histories in a case-control study of non-Hodgkin lymphoma in the United States. In: Environmental Health: A Global Access Science Source. 2015.
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title = "Investigation of spatio-temporal cancer clusters using residential histories in a case-control study of non-Hodgkin lymphoma in the United States",
abstract = "Background: Non-Hodgkin lymphoma (NHL) is an enigmatic disease with few known risk factors. Spatio-temporal epidemiologic analyses have the potential to reveal patterns that may give clues to new risk factors worthy of investigation. We sought to investigate clusters of NHL through space and time based on life course residential histories. Methods: We used residential histories from a population-based NHL case-control study of 1300 cases and 1044 controls with recruitment centers in Iowa, Detroit, Seattle, and Los Angeles, and diagnosed in 1998-2000. Novel methods for cluster detection allowing for residential mobility, called Q-statistics, were used to quantify nearest neighbor relationships through space and time over the life course to identify cancer clusters. Analyses were performed on all cases together and on two subgroups of NHL: Diffuse large B-cell lymphoma and follicular lymphoma. These more homogenous subgroups of cases might have a more common etiology that could potentially be detected in cluster analysis. Based on simulation studies designed to help account for multiple testing across space and through time, we required at least four significant cases nearby one another to declare a region a potential cluster, along with confirmatory analyses using spatial-only scanning windows (SaTScan). Results: Evidence of a small cluster in southeastern Oakland County, MI was suggested using residences 10-18 years prior to diagnosis, and confirmed by SaTScan in a time-slice analysis 20 years prior to diagnosis, when all cases were included in the analysis. Consistent evidence of clusters was not seen in the two histologic subgroups. Conclusions: Suggestive evidence of a small space-time cluster in southeastern Oakland County, MI was detected in this NHL case-control study in the USA.",
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author = "Nordsborg, {Rikke Baastrup} and Sloan, {Chantel D.} and Haseeb Shahid and Jacquez, {Geoffrey M.} and {De Roos}, {Anneclaire J.} and Cerhan, {James R} and Wendy Cozen and Richard Severson and Ward, {Mary H.} and Lindsay Morton and Ole Raaschou-Nielsen and Meliker, {Jaymie R.}",
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T1 - Investigation of spatio-temporal cancer clusters using residential histories in a case-control study of non-Hodgkin lymphoma in the United States

AU - Nordsborg, Rikke Baastrup

AU - Sloan, Chantel D.

AU - Shahid, Haseeb

AU - Jacquez, Geoffrey M.

AU - De Roos, Anneclaire J.

AU - Cerhan, James R

AU - Cozen, Wendy

AU - Severson, Richard

AU - Ward, Mary H.

AU - Morton, Lindsay

AU - Raaschou-Nielsen, Ole

AU - Meliker, Jaymie R.

PY - 2015/6/5

Y1 - 2015/6/5

N2 - Background: Non-Hodgkin lymphoma (NHL) is an enigmatic disease with few known risk factors. Spatio-temporal epidemiologic analyses have the potential to reveal patterns that may give clues to new risk factors worthy of investigation. We sought to investigate clusters of NHL through space and time based on life course residential histories. Methods: We used residential histories from a population-based NHL case-control study of 1300 cases and 1044 controls with recruitment centers in Iowa, Detroit, Seattle, and Los Angeles, and diagnosed in 1998-2000. Novel methods for cluster detection allowing for residential mobility, called Q-statistics, were used to quantify nearest neighbor relationships through space and time over the life course to identify cancer clusters. Analyses were performed on all cases together and on two subgroups of NHL: Diffuse large B-cell lymphoma and follicular lymphoma. These more homogenous subgroups of cases might have a more common etiology that could potentially be detected in cluster analysis. Based on simulation studies designed to help account for multiple testing across space and through time, we required at least four significant cases nearby one another to declare a region a potential cluster, along with confirmatory analyses using spatial-only scanning windows (SaTScan). Results: Evidence of a small cluster in southeastern Oakland County, MI was suggested using residences 10-18 years prior to diagnosis, and confirmed by SaTScan in a time-slice analysis 20 years prior to diagnosis, when all cases were included in the analysis. Consistent evidence of clusters was not seen in the two histologic subgroups. Conclusions: Suggestive evidence of a small space-time cluster in southeastern Oakland County, MI was detected in this NHL case-control study in the USA.

AB - Background: Non-Hodgkin lymphoma (NHL) is an enigmatic disease with few known risk factors. Spatio-temporal epidemiologic analyses have the potential to reveal patterns that may give clues to new risk factors worthy of investigation. We sought to investigate clusters of NHL through space and time based on life course residential histories. Methods: We used residential histories from a population-based NHL case-control study of 1300 cases and 1044 controls with recruitment centers in Iowa, Detroit, Seattle, and Los Angeles, and diagnosed in 1998-2000. Novel methods for cluster detection allowing for residential mobility, called Q-statistics, were used to quantify nearest neighbor relationships through space and time over the life course to identify cancer clusters. Analyses were performed on all cases together and on two subgroups of NHL: Diffuse large B-cell lymphoma and follicular lymphoma. These more homogenous subgroups of cases might have a more common etiology that could potentially be detected in cluster analysis. Based on simulation studies designed to help account for multiple testing across space and through time, we required at least four significant cases nearby one another to declare a region a potential cluster, along with confirmatory analyses using spatial-only scanning windows (SaTScan). Results: Evidence of a small cluster in southeastern Oakland County, MI was suggested using residences 10-18 years prior to diagnosis, and confirmed by SaTScan in a time-slice analysis 20 years prior to diagnosis, when all cases were included in the analysis. Consistent evidence of clusters was not seen in the two histologic subgroups. Conclusions: Suggestive evidence of a small space-time cluster in southeastern Oakland County, MI was detected in this NHL case-control study in the USA.

KW - Cancer

KW - Non-Hodgkin lymphoma

KW - Q-statistics

KW - Residential histories

KW - Spatio-temporal cluster analysis

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DO - 10.1186/s12940-015-0034-7

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