Monia Zidane, Marc Haber, Thérèse Truong, Frédérique Rachédi, Catherine Ory, Sylvie Chevillard, Hélène Blanché, Robert Olaso, Anne Boland, Éric Conte, Mojgan Karimi, Yan Ren, Constance Xhaard, Vincent Souchard, Jacques Gardon, Marc Taquet, André Bouville, Jean-François Deleuze, Vladimir Drozdovitch, Florent de Vathaire, Jean-Baptiste Cazier
{"title":"法属波利尼西亚分化型甲状腺癌的遗传因素:新的候选基因座。","authors":"Monia Zidane, Marc Haber, Thérèse Truong, Frédérique Rachédi, Catherine Ory, Sylvie Chevillard, Hélène Blanché, Robert Olaso, Anne Boland, Éric Conte, Mojgan Karimi, Yan Ren, Constance Xhaard, Vincent Souchard, Jacques Gardon, Marc Taquet, André Bouville, Jean-François Deleuze, Vladimir Drozdovitch, Florent de Vathaire, Jean-Baptiste Cazier","doi":"10.1093/pcmedi/pbad015","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Populations of French Polynesia (FP), where France performed atmospheric tests between 1966 and 1974, experience a high incidence of differentiated thyroid cancer (DTC). However, up to now, no sufficiently large study of DTC genetic factors in this population has been performed to reach definitive conclusion. This research aimed to analyze the genetic factors of DTC risk among the native FP populations.</p><p><strong>Methods: </strong>We analyzed more than 300 000 single nucleotide polymorphisms (SNPs) genotyped in 283 DTC cases and 418 matched controls born in FP, most being younger than 15 years old at the time of the first nuclear tests. We analyzed the genetic profile of our cohort to identify population subgroups. We then completed a genome-wide analysis study on the whole population.</p><p><strong>Results: </strong>We identified a specific genetic structure in the FP population reflecting admixture from Asian and European populations. We identified three regions associated with increased DTC risk at 6q24.3, 10p12.2, and 17q21.32. The lead SNPs at these loci showed respective p-values of 1.66 × 10<sup>-7</sup>, 2.39 × 10<sup>-7,</sup> and 7.19 × 10<sup>-7</sup> and corresponding odds ratios of 2.02, 1.89, and 2.37.</p><p><strong>Conclusion: </strong>Our study results suggest a role of the loci 6q24.3, 10p12.2 and 17q21.32 in DTC risk. However, a whole genome sequencing approach would be better suited to characterize these factors than genotyping with microarray chip designed for the Caucasian population. Moreover, the functional impact of these three new loci needs to be further explored and validated.</p>","PeriodicalId":33608,"journal":{"name":"Precision Clinical Medicine","volume":"6 2","pages":"pbad015"},"PeriodicalIF":5.1000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294640/pdf/","citationCount":"0","resultStr":"{\"title\":\"Genetic factors for differentiated thyroid cancer in French Polynesia: new candidate loci.\",\"authors\":\"Monia Zidane, Marc Haber, Thérèse Truong, Frédérique Rachédi, Catherine Ory, Sylvie Chevillard, Hélène Blanché, Robert Olaso, Anne Boland, Éric Conte, Mojgan Karimi, Yan Ren, Constance Xhaard, Vincent Souchard, Jacques Gardon, Marc Taquet, André Bouville, Jean-François Deleuze, Vladimir Drozdovitch, Florent de Vathaire, Jean-Baptiste Cazier\",\"doi\":\"10.1093/pcmedi/pbad015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Populations of French Polynesia (FP), where France performed atmospheric tests between 1966 and 1974, experience a high incidence of differentiated thyroid cancer (DTC). However, up to now, no sufficiently large study of DTC genetic factors in this population has been performed to reach definitive conclusion. This research aimed to analyze the genetic factors of DTC risk among the native FP populations.</p><p><strong>Methods: </strong>We analyzed more than 300 000 single nucleotide polymorphisms (SNPs) genotyped in 283 DTC cases and 418 matched controls born in FP, most being younger than 15 years old at the time of the first nuclear tests. We analyzed the genetic profile of our cohort to identify population subgroups. We then completed a genome-wide analysis study on the whole population.</p><p><strong>Results: </strong>We identified a specific genetic structure in the FP population reflecting admixture from Asian and European populations. We identified three regions associated with increased DTC risk at 6q24.3, 10p12.2, and 17q21.32. The lead SNPs at these loci showed respective p-values of 1.66 × 10<sup>-7</sup>, 2.39 × 10<sup>-7,</sup> and 7.19 × 10<sup>-7</sup> and corresponding odds ratios of 2.02, 1.89, and 2.37.</p><p><strong>Conclusion: </strong>Our study results suggest a role of the loci 6q24.3, 10p12.2 and 17q21.32 in DTC risk. However, a whole genome sequencing approach would be better suited to characterize these factors than genotyping with microarray chip designed for the Caucasian population. Moreover, the functional impact of these three new loci needs to be further explored and validated.</p>\",\"PeriodicalId\":33608,\"journal\":{\"name\":\"Precision Clinical Medicine\",\"volume\":\"6 2\",\"pages\":\"pbad015\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294640/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Precision Clinical Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/pcmedi/pbad015\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Precision Clinical Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/pcmedi/pbad015","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Genetic factors for differentiated thyroid cancer in French Polynesia: new candidate loci.
Background: Populations of French Polynesia (FP), where France performed atmospheric tests between 1966 and 1974, experience a high incidence of differentiated thyroid cancer (DTC). However, up to now, no sufficiently large study of DTC genetic factors in this population has been performed to reach definitive conclusion. This research aimed to analyze the genetic factors of DTC risk among the native FP populations.
Methods: We analyzed more than 300 000 single nucleotide polymorphisms (SNPs) genotyped in 283 DTC cases and 418 matched controls born in FP, most being younger than 15 years old at the time of the first nuclear tests. We analyzed the genetic profile of our cohort to identify population subgroups. We then completed a genome-wide analysis study on the whole population.
Results: We identified a specific genetic structure in the FP population reflecting admixture from Asian and European populations. We identified three regions associated with increased DTC risk at 6q24.3, 10p12.2, and 17q21.32. The lead SNPs at these loci showed respective p-values of 1.66 × 10-7, 2.39 × 10-7, and 7.19 × 10-7 and corresponding odds ratios of 2.02, 1.89, and 2.37.
Conclusion: Our study results suggest a role of the loci 6q24.3, 10p12.2 and 17q21.32 in DTC risk. However, a whole genome sequencing approach would be better suited to characterize these factors than genotyping with microarray chip designed for the Caucasian population. Moreover, the functional impact of these three new loci needs to be further explored and validated.
期刊介绍：
Precision Clinical Medicine (PCM) is an international, peer-reviewed, open access journal that provides timely publication of original research articles, case reports, reviews, editorials, and perspectives across the spectrum of precision medicine. The journal's mission is to deliver new theories, methods, and evidence that enhance disease diagnosis, treatment, prevention, and prognosis, thereby establishing a vital communication platform for clinicians and researchers that has the potential to transform medical practice. PCM encompasses all facets of precision medicine, which involves personalized approaches to diagnosis, treatment, and prevention, tailored to individual patients or patient subgroups based on their unique genetic, phenotypic, or psychosocial profiles. The clinical conditions addressed by the journal include a wide range of areas such as cancer, infectious diseases, inherited diseases, complex diseases, and rare diseases.
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