Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity
Abstract Lung cancer has several genetic associations identified within the major histocompatibility complex (MHC); although the basis for these associations remains elusive. Here, we analyze MHC genetic variation among 26,044 lung cancer patients and 20,836 controls densely genotyped across the MHC...
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Nature Publishing Group
2018-09-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-018-05890-2 |
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English |
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author |
Aida Ferreiro-Iglesias Corina Lesseur James McKay Rayjean J. Hung Younghun Han Xuchen Zong David Christiani Mattias Johansson Xiangjun Xiao Yafang Li David C. Qian Xuemei Ji Geoffrey Liu Neil Caporaso Ghislaine Scelo David Zaridze Anush Mukeriya Milica Kontic Simona Ognjanovic Jolanta Lissowska Małgorzata Szołkowska Beata Swiatkowska Vladimir Janout Ivana Holcatova Ciprian Bolca Milan Savic Miodrag Ognjanovic Stig Egil Bojesen Xifeng Wu Demetrios Albanes Melinda C. Aldrich Adonina Tardon Ana Fernandez-Somoano Guillermo Fernandez-Tardon Loic Le Marchand Gadi Rennert Chu Chen Jennifer Doherty Gary Goodman Heike Bickeböller H-Erich Wichmann Angela Risch Albert Rosenberger Hongbing Shen Juncheng Dai John K. Field Michael Davies Penella Woll M. Dawn Teare Lambertus A. Kiemeney Erik H. F. M. van der Heijden Jian-Min Yuan Yun-Chul Hong Aage Haugen Shanbeh Zienolddiny Stephen Lam Ming-Sound Tsao Mikael Johansson Kjell Grankvist Matthew B. Schabath Angeline Andrew Eric Duell Olle Melander Hans Brunnström Philip Lazarus Susanne Arnold Stacey Slone Jinyoung Byun Ahsan Kamal Dakai Zhu Maria Teresa Landi Christopher I. Amos Paul Brennan |
spellingShingle |
Aida Ferreiro-Iglesias Corina Lesseur James McKay Rayjean J. Hung Younghun Han Xuchen Zong David Christiani Mattias Johansson Xiangjun Xiao Yafang Li David C. Qian Xuemei Ji Geoffrey Liu Neil Caporaso Ghislaine Scelo David Zaridze Anush Mukeriya Milica Kontic Simona Ognjanovic Jolanta Lissowska Małgorzata Szołkowska Beata Swiatkowska Vladimir Janout Ivana Holcatova Ciprian Bolca Milan Savic Miodrag Ognjanovic Stig Egil Bojesen Xifeng Wu Demetrios Albanes Melinda C. Aldrich Adonina Tardon Ana Fernandez-Somoano Guillermo Fernandez-Tardon Loic Le Marchand Gadi Rennert Chu Chen Jennifer Doherty Gary Goodman Heike Bickeböller H-Erich Wichmann Angela Risch Albert Rosenberger Hongbing Shen Juncheng Dai John K. Field Michael Davies Penella Woll M. Dawn Teare Lambertus A. Kiemeney Erik H. F. M. van der Heijden Jian-Min Yuan Yun-Chul Hong Aage Haugen Shanbeh Zienolddiny Stephen Lam Ming-Sound Tsao Mikael Johansson Kjell Grankvist Matthew B. Schabath Angeline Andrew Eric Duell Olle Melander Hans Brunnström Philip Lazarus Susanne Arnold Stacey Slone Jinyoung Byun Ahsan Kamal Dakai Zhu Maria Teresa Landi Christopher I. Amos Paul Brennan Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity Nature Communications |
author_facet |
Aida Ferreiro-Iglesias Corina Lesseur James McKay Rayjean J. Hung Younghun Han Xuchen Zong David Christiani Mattias Johansson Xiangjun Xiao Yafang Li David C. Qian Xuemei Ji Geoffrey Liu Neil Caporaso Ghislaine Scelo David Zaridze Anush Mukeriya Milica Kontic Simona Ognjanovic Jolanta Lissowska Małgorzata Szołkowska Beata Swiatkowska Vladimir Janout Ivana Holcatova Ciprian Bolca Milan Savic Miodrag Ognjanovic Stig Egil Bojesen Xifeng Wu Demetrios Albanes Melinda C. Aldrich Adonina Tardon Ana Fernandez-Somoano Guillermo Fernandez-Tardon Loic Le Marchand Gadi Rennert Chu Chen Jennifer Doherty Gary Goodman Heike Bickeböller H-Erich Wichmann Angela Risch Albert Rosenberger Hongbing Shen Juncheng Dai John K. Field Michael Davies Penella Woll M. Dawn Teare Lambertus A. Kiemeney Erik H. F. M. van der Heijden Jian-Min Yuan Yun-Chul Hong Aage Haugen Shanbeh Zienolddiny Stephen Lam Ming-Sound Tsao Mikael Johansson Kjell Grankvist Matthew B. Schabath Angeline Andrew Eric Duell Olle Melander Hans Brunnström Philip Lazarus Susanne Arnold Stacey Slone Jinyoung Byun Ahsan Kamal Dakai Zhu Maria Teresa Landi Christopher I. Amos Paul Brennan |
author_sort |
Aida Ferreiro-Iglesias |
title |
Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity |
title_short |
Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity |
title_full |
Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity |
title_fullStr |
Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity |
title_full_unstemmed |
Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity |
title_sort |
fine mapping of mhc region in lung cancer highlights independent susceptibility loci by ethnicity |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2018-09-01 |
description |
Abstract Lung cancer has several genetic associations identified within the major histocompatibility complex (MHC); although the basis for these associations remains elusive. Here, we analyze MHC genetic variation among 26,044 lung cancer patients and 20,836 controls densely genotyped across the MHC, using the Illumina Illumina OncoArray or Illumina 660W SNP microarray. We impute sequence variation in classical HLA genes, fine-map MHC associations for lung cancer risk with major histologies and compare results between ethnicities. Independent and novel associations within HLA genes are identified in Europeans including amino acids in the HLA-B*0801 peptide binding groove and an independent HLA-DQB1*06 loci group. In Asians, associations are driven by two independent HLA allele sets that both increase risk in HLA-DQB1*0401 and HLA-DRB1*0701; the latter better represented by the amino acid Ala-104. These results implicate several HLA–tumor peptide interactions as the major MHC factor modulating lung cancer susceptibility. |
url |
https://doi.org/10.1038/s41467-018-05890-2 |
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doaj-09d1442134c6443f915b29ea5ec5ae4d2021-05-11T10:09:03ZengNature Publishing GroupNature Communications2041-17232018-09-019111210.1038/s41467-018-05890-2Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicityAida Ferreiro-Iglesias0Corina Lesseur1James McKay2Rayjean J. Hung3Younghun Han4Xuchen Zong5David Christiani6Mattias Johansson7Xiangjun Xiao8Yafang Li9David C. Qian10Xuemei Ji11Geoffrey Liu12Neil Caporaso13Ghislaine Scelo14David Zaridze15Anush Mukeriya16Milica Kontic17Simona Ognjanovic18Jolanta Lissowska19Małgorzata Szołkowska20Beata Swiatkowska21Vladimir Janout22Ivana Holcatova23Ciprian Bolca24Milan Savic25Miodrag Ognjanovic26Stig Egil Bojesen27Xifeng Wu28Demetrios Albanes29Melinda C. Aldrich30Adonina Tardon31Ana Fernandez-Somoano32Guillermo Fernandez-Tardon33Loic Le Marchand34Gadi Rennert35Chu Chen36Jennifer Doherty37Gary Goodman38Heike Bickeböller39H-Erich Wichmann40Angela Risch41Albert Rosenberger42Hongbing Shen43Juncheng Dai44John K. Field45Michael Davies46Penella Woll47M. Dawn Teare48Lambertus A. Kiemeney49Erik H. F. M. van der Heijden50Jian-Min Yuan51Yun-Chul Hong52Aage Haugen53Shanbeh Zienolddiny54Stephen Lam55Ming-Sound Tsao56Mikael Johansson57Kjell Grankvist58Matthew B. Schabath59Angeline Andrew60Eric Duell61Olle Melander62Hans Brunnström63Philip Lazarus64Susanne Arnold65Stacey Slone66Jinyoung Byun67Ahsan Kamal68Dakai Zhu69Maria Teresa Landi70Christopher I. Amos71Paul Brennan72International Agency for Research on Cancer, World Health OrganizationInternational Agency for Research on Cancer, World Health OrganizationInternational Agency for Research on Cancer, World Health OrganizationLunenfeld-Tanenbaum Research Institute of Sinai Health System, University of TorontoBiomedical Data Science, Geisel School of Medicine at DartmouthLunenfeld-Tanenbaum Research Institute of Sinai Health System, University of TorontoDepartment of Environmental Health, Harvard TH Chan School of Public Health, Massachusetts General Hospital/ Harvard Medical SchoolInternational Agency for Research on Cancer, World Health OrganizationBiomedical Data Science, Geisel School of Medicine at DartmouthBiomedical Data Science, Geisel School of Medicine at DartmouthBiomedical Data Science, Geisel School of Medicine at DartmouthBiomedical Data Science, Geisel School of Medicine at DartmouthLunenfeld-Tanenbaum Research Institute of Sinai Health System, University of TorontoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of HealthInternational Agency for Research on Cancer, World Health OrganizationRussian N.N. Blokhin Cancer Research CentreRussian N.N. Blokhin Cancer Research CentreClinical Center of SerbiaInternational Organization for Cancer Prevention and ResearchM. Sklodowska-Curie Cancer Center, Institute of OncologyDepartment of Pathology, National Tuberculosis and Lung Diseases Research InstituteDepartment of Environmental Epidemiology, Nofer Institute of Occupational MedicineFaculty of Medicine, University of Olomouc2nd Faculty of Medicine, Institute of Public Health and Preventive Medicine, Charles UniversityInstitute of Pneumology “Marius Nasta”Department of Thoracic Surgery Clinical Center of Serbia BelgradeInternational Organization for Cancer Prevention and ResearchCopenhagen General Population Study, Herlev and Gentofte HospitalDepartment of Epidemiology, The University of Texas MD Anderson Cancer CenterDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of HealthDepartment of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical CenterUniversity of Oviedo and CIBERESP, Faculty of MedicineUniversity of Oviedo and CIBERESP, Faculty of MedicineUniversity of Oviedo and CIBERESP, Faculty of MedicineEpidemiology Program, University of Hawaii Cancer CenterClalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of MedicineDepartment of Epidemiology, University of Washington School of Public Health and Community MedicineDepartment of Epidemiology, University of Washington School of Public Health and Community MedicineSwedish Medical GroupDepartment of Genetic Epidemiology, University Medical Center, Georg-August-University GöttingenInstitute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig Maximilians UniversityUniversity of Salzburg and Cancer Cluster SalzburgDepartment of Genetic Epidemiology, University Medical Center, Georg-August-University GöttingenDepartment of Epidemiology and Biostatistics, Jiangsu Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology and Biostatistics, Jiangsu Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical UniversityInstitute of Translational Medicine, University of LiverpoolInstitute of Translational Medicine, University of LiverpoolDepartment of Oncology, University of SheffieldSchool of Health and Related Research, University Of SheffieldRadboud University Medical CenterRadboud University Medical CenterUniversity of Pittsburgh Cancer InstituteDepartment of Preventive Medicine, Seoul National University College of MedicineNational Institute of Occupational HealthNational Institute of Occupational HealthBritish Columbia Cancer AgencyPrincess Margaret Cancer CentreDepartment of Radiation Sciences, Umeå UniversityDepartment of Medical Biosciences, Umeå UniversityDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research InstituteBiomedical Data Science, Geisel School of Medicine at DartmouthUnit of Nutrition and Cancer, Catalan Institute of Oncology (ICO‐IDIBELL)Department of Clinical Sciences Malmö, Lund UniversityLaboratory Medicine Region Skåne, Department of Clinical Sciences Lund, Pathology, Lund UniversityDepartment of Pharmaceutical Sciences, College of Pharmacy, Washington State UniversityUniversity of Kentucky, Markey Cancer CenterUniversity of Kentucky, Markey Cancer CenterBiomedical Data Science, Geisel School of Medicine at DartmouthBiomedical Data Science, Geisel School of Medicine at DartmouthBiomedical Data Science, Geisel School of Medicine at DartmouthDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of HealthBiomedical Data Science, Geisel School of Medicine at DartmouthInternational Agency for Research on Cancer, World Health OrganizationAbstract Lung cancer has several genetic associations identified within the major histocompatibility complex (MHC); although the basis for these associations remains elusive. Here, we analyze MHC genetic variation among 26,044 lung cancer patients and 20,836 controls densely genotyped across the MHC, using the Illumina Illumina OncoArray or Illumina 660W SNP microarray. We impute sequence variation in classical HLA genes, fine-map MHC associations for lung cancer risk with major histologies and compare results between ethnicities. Independent and novel associations within HLA genes are identified in Europeans including amino acids in the HLA-B*0801 peptide binding groove and an independent HLA-DQB1*06 loci group. In Asians, associations are driven by two independent HLA allele sets that both increase risk in HLA-DQB1*0401 and HLA-DRB1*0701; the latter better represented by the amino acid Ala-104. These results implicate several HLA–tumor peptide interactions as the major MHC factor modulating lung cancer susceptibility.https://doi.org/10.1038/s41467-018-05890-2 |