A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians

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A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians. / Zhang, Ruyang; Shen, Sipeng; Wei, Yongyue; Zhu, Ying; Li, Yi; Chen, Jiajin; Guan, Jinxing; Pan, Zoucheng; Wang, Yuzhuo; Zhu, Meng; Xie, Junxing; Xiao, Xiangjun; Zhu, Dakai; Li, Yafang; Albanes, Demetrios; Landi, Maria Teresa; Caporaso, Neil E.; Lam, Stephen; Tardon, Adonina; Chen, Chu; Bojesen, Stig E.; Johansson, Mattias; Risch, Angela; Bickeböller, Heike; Wichmann, H. Erich; Rennert, Gadi; Arnold, Susanne; Brennan, Paul; McKay, James D.; Field, John K.; Shete, Sanjay S.; Le Marchand, Loic; Liu, Geoffrey; Andrew, Angeline S.; Kiemeney, Lambertus A.; Zienolddiny-Narui, Shan; Behndig, Annelie; Johansson, Mikael; Cox, Angela; Lazarus, Philip; Schabath, Matthew B.; Aldrich, Melinda C.; Dai, Juncheng; Ma, Hongxia; Zhao, Yang; Hu, Zhibin; Hung, Rayjean J.; Amos, Christopher I.; Shen, Hongbing; Chen, Feng; Christiani, David C.

I: Journal of Thoracic Oncology, Bind 17, Nr. 8, 2022, s. 974-990.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Zhang, R, Shen, S, Wei, Y, Zhu, Y, Li, Y, Chen, J, Guan, J, Pan, Z, Wang, Y, Zhu, M, Xie, J, Xiao, X, Zhu, D, Li, Y, Albanes, D, Landi, MT, Caporaso, NE, Lam, S, Tardon, A, Chen, C, Bojesen, SE, Johansson, M, Risch, A, Bickeböller, H, Wichmann, HE, Rennert, G, Arnold, S, Brennan, P, McKay, JD, Field, JK, Shete, SS, Le Marchand, L, Liu, G, Andrew, AS, Kiemeney, LA, Zienolddiny-Narui, S, Behndig, A, Johansson, M, Cox, A, Lazarus, P, Schabath, MB, Aldrich, MC, Dai, J, Ma, H, Zhao, Y, Hu, Z, Hung, RJ, Amos, CI, Shen, H, Chen, F & Christiani, DC 2022, 'A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians', Journal of Thoracic Oncology, bind 17, nr. 8, s. 974-990. https://doi.org/10.1016/j.jtho.2022.04.011

APA

Zhang, R., Shen, S., Wei, Y., Zhu, Y., Li, Y., Chen, J., Guan, J., Pan, Z., Wang, Y., Zhu, M., Xie, J., Xiao, X., Zhu, D., Li, Y., Albanes, D., Landi, M. T., Caporaso, N. E., Lam, S., Tardon, A., ... Christiani, D. C. (2022). A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians. Journal of Thoracic Oncology, 17(8), 974-990. https://doi.org/10.1016/j.jtho.2022.04.011

Vancouver

Zhang R, Shen S, Wei Y, Zhu Y, Li Y, Chen J o.a. A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians. Journal of Thoracic Oncology. 2022;17(8):974-990. https://doi.org/10.1016/j.jtho.2022.04.011

Author

Zhang, Ruyang ; Shen, Sipeng ; Wei, Yongyue ; Zhu, Ying ; Li, Yi ; Chen, Jiajin ; Guan, Jinxing ; Pan, Zoucheng ; Wang, Yuzhuo ; Zhu, Meng ; Xie, Junxing ; Xiao, Xiangjun ; Zhu, Dakai ; Li, Yafang ; Albanes, Demetrios ; Landi, Maria Teresa ; Caporaso, Neil E. ; Lam, Stephen ; Tardon, Adonina ; Chen, Chu ; Bojesen, Stig E. ; Johansson, Mattias ; Risch, Angela ; Bickeböller, Heike ; Wichmann, H. Erich ; Rennert, Gadi ; Arnold, Susanne ; Brennan, Paul ; McKay, James D. ; Field, John K. ; Shete, Sanjay S. ; Le Marchand, Loic ; Liu, Geoffrey ; Andrew, Angeline S. ; Kiemeney, Lambertus A. ; Zienolddiny-Narui, Shan ; Behndig, Annelie ; Johansson, Mikael ; Cox, Angela ; Lazarus, Philip ; Schabath, Matthew B. ; Aldrich, Melinda C. ; Dai, Juncheng ; Ma, Hongxia ; Zhao, Yang ; Hu, Zhibin ; Hung, Rayjean J. ; Amos, Christopher I. ; Shen, Hongbing ; Chen, Feng ; Christiani, David C. / A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians. I: Journal of Thoracic Oncology. 2022 ; Bind 17, Nr. 8. s. 974-990.

Bibtex

@article{c25544bd1e8d42acb5c3beba6f4c629f,
title = "A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians",
abstract = "Introduction: Although genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC). Methods: Leveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms (SNPs). Then, the top interactions were further tested by demographically adjusted logistic regression models. Finally, we used the selected interactions to build lung cancer screening models of NSCLC, separately, for never and ever smokers. Results: With the Bonferroni correction, we identified eight statistically significant pairs of SNPs, which predominantly appeared in the 6p21.32 and 5p15.33 regions (e.g., rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.17, p = 6.57 × 10−13; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.17, p = 2.43 × 10−13; rs2858859HLA-DQA1 and rs9275572HLA-DQA2, ORinteraction = 1.15, p = 2.84 × 10−13; rs2853668TERT and rs62329694CLPTM1L, ORinteraction = 0.73, p = 2.70 × 10−13). Notably, even with much genetic heterogeneity across ethnicities, three pairs of SNPs in the 6p21.32 region identified from the European-ancestry population remained significant among an Asian population from the Nanjing Medical University Global Screening Array project (rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.13, p = 0.008; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.11, p = 5.23 × 10−4; rs3135369BTNL2 and rs9271300HLA-DQA1, ORinteraction = 0.89, p = 0.006). The interaction-empowered polygenetic risk score that integrated classical polygenetic risk score and G × G information score was remarkable in lung cancer risk stratification. Conclusions: Important G × G interactions were identified and enriched in the 5p15.33 and 6p21.32 regions, which may enhance lung cancer screening models.",
keywords = "Cancer risk, Gene-gene interaction, Genetic screening model, GWAS, Lung cancer, Single nucleotide polymorphism",
author = "Ruyang Zhang and Sipeng Shen and Yongyue Wei and Ying Zhu and Yi Li and Jiajin Chen and Jinxing Guan and Zoucheng Pan and Yuzhuo Wang and Meng Zhu and Junxing Xie and Xiangjun Xiao and Dakai Zhu and Yafang Li and Demetrios Albanes and Landi, {Maria Teresa} and Caporaso, {Neil E.} and Stephen Lam and Adonina Tardon and Chu Chen and Bojesen, {Stig E.} and Mattias Johansson and Angela Risch and Heike Bickeb{\"o}ller and Wichmann, {H. Erich} and Gadi Rennert and Susanne Arnold and Paul Brennan and McKay, {James D.} and Field, {John K.} and Shete, {Sanjay S.} and {Le Marchand}, Loic and Geoffrey Liu and Andrew, {Angeline S.} and Kiemeney, {Lambertus A.} and Shan Zienolddiny-Narui and Annelie Behndig and Mikael Johansson and Angela Cox and Philip Lazarus and Schabath, {Matthew B.} and Aldrich, {Melinda C.} and Juncheng Dai and Hongxia Ma and Yang Zhao and Zhibin Hu and Hung, {Rayjean J.} and Amos, {Christopher I.} and Hongbing Shen and Feng Chen and Christiani, {David C.}",
note = "Publisher Copyright: {\textcopyright} 2022 International Association for the Study of Lung Cancer",
year = "2022",
doi = "10.1016/j.jtho.2022.04.011",
language = "English",
volume = "17",
pages = "974--990",
journal = "Journal of Thoracic Oncology",
issn = "1556-0864",
publisher = "Elsevier",
number = "8",

}

RIS

TY - JOUR

T1 - A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians

AU - Zhang, Ruyang

AU - Shen, Sipeng

AU - Wei, Yongyue

AU - Zhu, Ying

AU - Li, Yi

AU - Chen, Jiajin

AU - Guan, Jinxing

AU - Pan, Zoucheng

AU - Wang, Yuzhuo

AU - Zhu, Meng

AU - Xie, Junxing

AU - Xiao, Xiangjun

AU - Zhu, Dakai

AU - Li, Yafang

AU - Albanes, Demetrios

AU - Landi, Maria Teresa

AU - Caporaso, Neil E.

AU - Lam, Stephen

AU - Tardon, Adonina

AU - Chen, Chu

AU - Bojesen, Stig E.

AU - Johansson, Mattias

AU - Risch, Angela

AU - Bickeböller, Heike

AU - Wichmann, H. Erich

AU - Rennert, Gadi

AU - Arnold, Susanne

AU - Brennan, Paul

AU - McKay, James D.

AU - Field, John K.

AU - Shete, Sanjay S.

AU - Le Marchand, Loic

AU - Liu, Geoffrey

AU - Andrew, Angeline S.

AU - Kiemeney, Lambertus A.

AU - Zienolddiny-Narui, Shan

AU - Behndig, Annelie

AU - Johansson, Mikael

AU - Cox, Angela

AU - Lazarus, Philip

AU - Schabath, Matthew B.

AU - Aldrich, Melinda C.

AU - Dai, Juncheng

AU - Ma, Hongxia

AU - Zhao, Yang

AU - Hu, Zhibin

AU - Hung, Rayjean J.

AU - Amos, Christopher I.

AU - Shen, Hongbing

AU - Chen, Feng

AU - Christiani, David C.

N1 - Publisher Copyright: © 2022 International Association for the Study of Lung Cancer

PY - 2022

Y1 - 2022

N2 - Introduction: Although genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC). Methods: Leveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms (SNPs). Then, the top interactions were further tested by demographically adjusted logistic regression models. Finally, we used the selected interactions to build lung cancer screening models of NSCLC, separately, for never and ever smokers. Results: With the Bonferroni correction, we identified eight statistically significant pairs of SNPs, which predominantly appeared in the 6p21.32 and 5p15.33 regions (e.g., rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.17, p = 6.57 × 10−13; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.17, p = 2.43 × 10−13; rs2858859HLA-DQA1 and rs9275572HLA-DQA2, ORinteraction = 1.15, p = 2.84 × 10−13; rs2853668TERT and rs62329694CLPTM1L, ORinteraction = 0.73, p = 2.70 × 10−13). Notably, even with much genetic heterogeneity across ethnicities, three pairs of SNPs in the 6p21.32 region identified from the European-ancestry population remained significant among an Asian population from the Nanjing Medical University Global Screening Array project (rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.13, p = 0.008; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.11, p = 5.23 × 10−4; rs3135369BTNL2 and rs9271300HLA-DQA1, ORinteraction = 0.89, p = 0.006). The interaction-empowered polygenetic risk score that integrated classical polygenetic risk score and G × G information score was remarkable in lung cancer risk stratification. Conclusions: Important G × G interactions were identified and enriched in the 5p15.33 and 6p21.32 regions, which may enhance lung cancer screening models.

AB - Introduction: Although genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC). Methods: Leveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms (SNPs). Then, the top interactions were further tested by demographically adjusted logistic regression models. Finally, we used the selected interactions to build lung cancer screening models of NSCLC, separately, for never and ever smokers. Results: With the Bonferroni correction, we identified eight statistically significant pairs of SNPs, which predominantly appeared in the 6p21.32 and 5p15.33 regions (e.g., rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.17, p = 6.57 × 10−13; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.17, p = 2.43 × 10−13; rs2858859HLA-DQA1 and rs9275572HLA-DQA2, ORinteraction = 1.15, p = 2.84 × 10−13; rs2853668TERT and rs62329694CLPTM1L, ORinteraction = 0.73, p = 2.70 × 10−13). Notably, even with much genetic heterogeneity across ethnicities, three pairs of SNPs in the 6p21.32 region identified from the European-ancestry population remained significant among an Asian population from the Nanjing Medical University Global Screening Array project (rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.13, p = 0.008; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.11, p = 5.23 × 10−4; rs3135369BTNL2 and rs9271300HLA-DQA1, ORinteraction = 0.89, p = 0.006). The interaction-empowered polygenetic risk score that integrated classical polygenetic risk score and G × G information score was remarkable in lung cancer risk stratification. Conclusions: Important G × G interactions were identified and enriched in the 5p15.33 and 6p21.32 regions, which may enhance lung cancer screening models.

KW - Cancer risk

KW - Gene-gene interaction

KW - Genetic screening model

KW - GWAS

KW - Lung cancer

KW - Single nucleotide polymorphism

U2 - 10.1016/j.jtho.2022.04.011

DO - 10.1016/j.jtho.2022.04.011

M3 - Journal article

C2 - 35500836

AN - SCOPUS:85130893494

VL - 17

SP - 974

EP - 990

JO - Journal of Thoracic Oncology

JF - Journal of Thoracic Oncology

SN - 1556-0864

IS - 8

ER -

ID: 325381623