Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis.
The "hygiene hypothesis" postulates that reduced exposure to infections favours the development of autoimmunity and childhood type 1 diabetes (T1D). But on the other side, viruses, notably enteroviruses, are suspected to trigger T1D. The assessment of the possible relationships between inf...
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Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0170658&type=printable |
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| author | Pierre Bougnères Sophie Le Fur Isis-Diab collaborative group Sophie Valtat Yoichiro Kamatani Mark Lathrop Alain-Jacques Valleron |
| author_facet | Pierre Bougnères Sophie Le Fur Isis-Diab collaborative group Sophie Valtat Yoichiro Kamatani Mark Lathrop Alain-Jacques Valleron |
| author_sort | Pierre Bougnères |
| collection | DOAJ |
| description | The "hygiene hypothesis" postulates that reduced exposure to infections favours the development of autoimmunity and childhood type 1 diabetes (T1D). But on the other side, viruses, notably enteroviruses, are suspected to trigger T1D. The assessment of the possible relationships between infections and T1D still defies the classical tools of epidemiology. We report the methods and results of a geographical approach that maps the addresses of patients to a communicable diseases surveillance database. We mapped the addresses of patients at birth, infancy and T1D diagnosis to the weekly estimates of the regional incidences of 5 frequent communicable diseases routinely collected since 1984 by the French Sentinel network. The pre-diagnostic infectious environment of 3548 patients with T1D diagnosed between 0.5 and 15 years was compared to those of 100 series of age-matched "virtual controls" drawn randomly on the map. Associations were classified as "suggestive" (summer diarrhea, SD, and varicella, V) when p< 0.05, or "significant" (influenza-like infections, ILI) when they passed the Bonferroni correction for FDR. Exposure to ILI and SD were associated with T1D risk, while V seemed protective. In the subset of 2521 patients for which we had genome wide data, we used a case-only approach to search for interactions between SNPs and the infectious environment as defined by the Sentinel database. Two SNPs, rs116624278 and rs77232854, showed significant interaction with exposure to V between 1 and 3 years of life. The infectious associations found should be taken as possible markers of patients' environment, not as direct causative factors of T1D. They require replication in other populations. The increasing public availability of geographical environmental databases will expand the present approach to map thousands of environmental factors to the lifeline of patients affected by various diseases. |
| format | Article |
| id | doaj-art-e8ad69b322834c1289709341167af68a |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-e8ad69b322834c1289709341167af68a2025-08-20T03:04:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01122e017065810.1371/journal.pone.0170658Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis.Pierre BougnèresSophie Le FurIsis-Diab collaborative groupSophie ValtatYoichiro KamataniMark LathropAlain-Jacques ValleronThe "hygiene hypothesis" postulates that reduced exposure to infections favours the development of autoimmunity and childhood type 1 diabetes (T1D). But on the other side, viruses, notably enteroviruses, are suspected to trigger T1D. The assessment of the possible relationships between infections and T1D still defies the classical tools of epidemiology. We report the methods and results of a geographical approach that maps the addresses of patients to a communicable diseases surveillance database. We mapped the addresses of patients at birth, infancy and T1D diagnosis to the weekly estimates of the regional incidences of 5 frequent communicable diseases routinely collected since 1984 by the French Sentinel network. The pre-diagnostic infectious environment of 3548 patients with T1D diagnosed between 0.5 and 15 years was compared to those of 100 series of age-matched "virtual controls" drawn randomly on the map. Associations were classified as "suggestive" (summer diarrhea, SD, and varicella, V) when p< 0.05, or "significant" (influenza-like infections, ILI) when they passed the Bonferroni correction for FDR. Exposure to ILI and SD were associated with T1D risk, while V seemed protective. In the subset of 2521 patients for which we had genome wide data, we used a case-only approach to search for interactions between SNPs and the infectious environment as defined by the Sentinel database. Two SNPs, rs116624278 and rs77232854, showed significant interaction with exposure to V between 1 and 3 years of life. The infectious associations found should be taken as possible markers of patients' environment, not as direct causative factors of T1D. They require replication in other populations. The increasing public availability of geographical environmental databases will expand the present approach to map thousands of environmental factors to the lifeline of patients affected by various diseases.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0170658&type=printable |
| spellingShingle | Pierre Bougnères Sophie Le Fur Isis-Diab collaborative group Sophie Valtat Yoichiro Kamatani Mark Lathrop Alain-Jacques Valleron Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis. PLoS ONE |
| title | Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis. |
| title_full | Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis. |
| title_fullStr | Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis. |
| title_full_unstemmed | Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis. |
| title_short | Using spatio-temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis. |
| title_sort | using spatio temporal surveillance data to test the infectious environment of children before type 1 diabetes diagnosis |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0170658&type=printable |
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