Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci

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Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci. / Dai, Juncheng; Li, Zhihua; Amos, Christopher I; Hung, Rayjean J; Tardon, Adonina; Andrew, Angeline S; Chen, Chu; Christiani, David C; Albanes, Demetrios; van der Heijden, Erik H F M; Duell, Eric J; Rennert, Gad; Mckay, James D; Yuan, Jian-Min; Field, John K; Manjer, Jonas; Grankvist, Kjell; Le Marchand, Loic; Teare, M Dawn; Schabath, Matthew B; Aldrich, Melinda C; Tsao, Ming-Sound; Lazarus, Philip; Lam, Stephen; Bojesen, Stig E; Arnold, Susanne; Wu, Xifeng; Haugen, Aage; Janout, Vladimir; Johansson, Mikael; Brhane, Yonathan; Fernandez-Somoano, Ana; Kiemeney, Lambertus A; Davies, Michael P A; Zienolddiny, Shanbeh; Hu, Zhibin; Shen, Hongbing.

In: Carcinogenesis, Vol. 40, No. 3, 03.2019, p. 432-440.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Dai, J, Li, Z, Amos, CI, Hung, RJ, Tardon, A, Andrew, AS, Chen, C, Christiani, DC, Albanes, D, van der Heijden, EHFM, Duell, EJ, Rennert, G, Mckay, JD, Yuan, J-M, Field, JK, Manjer, J, Grankvist, K, Le Marchand, L, Teare, MD, Schabath, MB, Aldrich, MC, Tsao, M-S, Lazarus, P, Lam, S, Bojesen, SE, Arnold, S, Wu, X, Haugen, A, Janout, V, Johansson, M, Brhane, Y, Fernandez-Somoano, A, Kiemeney, LA, Davies, MPA, Zienolddiny, S, Hu, Z & Shen, H 2019, 'Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci', Carcinogenesis, vol. 40, no. 3, pp. 432-440. https://doi.org/10.1093/carcin/bgy187

APA

Dai, J., Li, Z., Amos, C. I., Hung, R. J., Tardon, A., Andrew, A. S., ... Shen, H. (2019). Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci. Carcinogenesis, 40(3), 432-440. https://doi.org/10.1093/carcin/bgy187

Vancouver

Dai J, Li Z, Amos CI, Hung RJ, Tardon A, Andrew AS et al. Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci. Carcinogenesis. 2019 Mar;40(3):432-440. https://doi.org/10.1093/carcin/bgy187

Author

Dai, Juncheng ; Li, Zhihua ; Amos, Christopher I ; Hung, Rayjean J ; Tardon, Adonina ; Andrew, Angeline S ; Chen, Chu ; Christiani, David C ; Albanes, Demetrios ; van der Heijden, Erik H F M ; Duell, Eric J ; Rennert, Gad ; Mckay, James D ; Yuan, Jian-Min ; Field, John K ; Manjer, Jonas ; Grankvist, Kjell ; Le Marchand, Loic ; Teare, M Dawn ; Schabath, Matthew B ; Aldrich, Melinda C ; Tsao, Ming-Sound ; Lazarus, Philip ; Lam, Stephen ; Bojesen, Stig E ; Arnold, Susanne ; Wu, Xifeng ; Haugen, Aage ; Janout, Vladimir ; Johansson, Mikael ; Brhane, Yonathan ; Fernandez-Somoano, Ana ; Kiemeney, Lambertus A ; Davies, Michael P A ; Zienolddiny, Shanbeh ; Hu, Zhibin ; Shen, Hongbing. / Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci. In: Carcinogenesis. 2019 ; Vol. 40, No. 3. pp. 432-440.

Bibtex

@article{68bde63f04864859ad746fea9e849d39,
title = "Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci",
abstract = "DNase I hypersensitive sites (DHS) are abundant in regulatory elements, such as promoter, enhancer and transcription factor binding sites. Many studies have revealed that disease-associated variants were concentrated in DHS-related regions. However, limited studies are available on the roles of DHS-related variants in lung cancer. In this study, we performed a large-scale case-control study with 20 871 lung cancer cases and 15 971 controls to evaluate the associations between regulatory genetic variants in DHS and lung cancer susceptibility. The expression quantitative trait loci (eQTL) analysis and pathway-enrichment analysis were performed to identify the possible target genes and pathways. In addition, we performed motif-based analysis to explore the lung-cancer-related motifs using sequence kernel association test. Two novel variants, rs186332 in 20q13.3 (C>T, odds ratio [OR] = 1.17, 95{\%} confidence interval [95{\%} CI]: 1.10-1.24, P = 8.45 × 10-7) and rs4839323 in 1p13.2 (T>C, OR = 0.92, 95{\%} CI: 0.89-0.95, P = 1.02 × 10-6) showed significant association with lung cancer risk. The eQTL analysis suggested that these two SNPs might regulate the expression of MRGBP and SLC16A1, respectively. What's more, the expression of both MRGBP and SLC16A1 was aberrantly elevated in lung tumor tissues. The motif-based analysis identified 10 motifs related to the risk of lung cancer (P < 1.71 × 10-4). Our findings suggested that variants in DHS might modify lung cancer susceptibility through regulating the expression of surrounding genes. This study provided us a deeper insight into the roles of DHS-related genetic variants for lung cancer.",
author = "Juncheng Dai and Zhihua Li and Amos, {Christopher I} and Hung, {Rayjean J} and Adonina Tardon and Andrew, {Angeline S} and Chu Chen and Christiani, {David C} and Demetrios Albanes and {van der Heijden}, {Erik H F M} and Duell, {Eric J} and Gad Rennert and Mckay, {James D} and Jian-Min Yuan and Field, {John K} and Jonas Manjer and Kjell Grankvist and {Le Marchand}, Loic and Teare, {M Dawn} and Schabath, {Matthew B} and Aldrich, {Melinda C} and Ming-Sound Tsao and Philip Lazarus and Stephen Lam and Bojesen, {Stig E} and Susanne Arnold and Xifeng Wu and Aage Haugen and Vladimir Janout and Mikael Johansson and Yonathan Brhane and Ana Fernandez-Somoano and Kiemeney, {Lambertus A} and Davies, {Michael P A} and Shanbeh Zienolddiny and Zhibin Hu and Hongbing Shen",
note = "{\circledC} The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.",
year = "2019",
month = "3",
doi = "10.1093/carcin/bgy187",
language = "English",
volume = "40",
pages = "432--440",
journal = "Carcinogenesis",
issn = "0143-3334",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci

AU - Dai, Juncheng

AU - Li, Zhihua

AU - Amos, Christopher I

AU - Hung, Rayjean J

AU - Tardon, Adonina

AU - Andrew, Angeline S

AU - Chen, Chu

AU - Christiani, David C

AU - Albanes, Demetrios

AU - van der Heijden, Erik H F M

AU - Duell, Eric J

AU - Rennert, Gad

AU - Mckay, James D

AU - Yuan, Jian-Min

AU - Field, John K

AU - Manjer, Jonas

AU - Grankvist, Kjell

AU - Le Marchand, Loic

AU - Teare, M Dawn

AU - Schabath, Matthew B

AU - Aldrich, Melinda C

AU - Tsao, Ming-Sound

AU - Lazarus, Philip

AU - Lam, Stephen

AU - Bojesen, Stig E

AU - Arnold, Susanne

AU - Wu, Xifeng

AU - Haugen, Aage

AU - Janout, Vladimir

AU - Johansson, Mikael

AU - Brhane, Yonathan

AU - Fernandez-Somoano, Ana

AU - Kiemeney, Lambertus A

AU - Davies, Michael P A

AU - Zienolddiny, Shanbeh

AU - Hu, Zhibin

AU - Shen, Hongbing

N1 - © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

PY - 2019/3

Y1 - 2019/3

N2 - DNase I hypersensitive sites (DHS) are abundant in regulatory elements, such as promoter, enhancer and transcription factor binding sites. Many studies have revealed that disease-associated variants were concentrated in DHS-related regions. However, limited studies are available on the roles of DHS-related variants in lung cancer. In this study, we performed a large-scale case-control study with 20 871 lung cancer cases and 15 971 controls to evaluate the associations between regulatory genetic variants in DHS and lung cancer susceptibility. The expression quantitative trait loci (eQTL) analysis and pathway-enrichment analysis were performed to identify the possible target genes and pathways. In addition, we performed motif-based analysis to explore the lung-cancer-related motifs using sequence kernel association test. Two novel variants, rs186332 in 20q13.3 (C>T, odds ratio [OR] = 1.17, 95% confidence interval [95% CI]: 1.10-1.24, P = 8.45 × 10-7) and rs4839323 in 1p13.2 (T>C, OR = 0.92, 95% CI: 0.89-0.95, P = 1.02 × 10-6) showed significant association with lung cancer risk. The eQTL analysis suggested that these two SNPs might regulate the expression of MRGBP and SLC16A1, respectively. What's more, the expression of both MRGBP and SLC16A1 was aberrantly elevated in lung tumor tissues. The motif-based analysis identified 10 motifs related to the risk of lung cancer (P < 1.71 × 10-4). Our findings suggested that variants in DHS might modify lung cancer susceptibility through regulating the expression of surrounding genes. This study provided us a deeper insight into the roles of DHS-related genetic variants for lung cancer.

AB - DNase I hypersensitive sites (DHS) are abundant in regulatory elements, such as promoter, enhancer and transcription factor binding sites. Many studies have revealed that disease-associated variants were concentrated in DHS-related regions. However, limited studies are available on the roles of DHS-related variants in lung cancer. In this study, we performed a large-scale case-control study with 20 871 lung cancer cases and 15 971 controls to evaluate the associations between regulatory genetic variants in DHS and lung cancer susceptibility. The expression quantitative trait loci (eQTL) analysis and pathway-enrichment analysis were performed to identify the possible target genes and pathways. In addition, we performed motif-based analysis to explore the lung-cancer-related motifs using sequence kernel association test. Two novel variants, rs186332 in 20q13.3 (C>T, odds ratio [OR] = 1.17, 95% confidence interval [95% CI]: 1.10-1.24, P = 8.45 × 10-7) and rs4839323 in 1p13.2 (T>C, OR = 0.92, 95% CI: 0.89-0.95, P = 1.02 × 10-6) showed significant association with lung cancer risk. The eQTL analysis suggested that these two SNPs might regulate the expression of MRGBP and SLC16A1, respectively. What's more, the expression of both MRGBP and SLC16A1 was aberrantly elevated in lung tumor tissues. The motif-based analysis identified 10 motifs related to the risk of lung cancer (P < 1.71 × 10-4). Our findings suggested that variants in DHS might modify lung cancer susceptibility through regulating the expression of surrounding genes. This study provided us a deeper insight into the roles of DHS-related genetic variants for lung cancer.

U2 - 10.1093/carcin/bgy187

DO - 10.1093/carcin/bgy187

M3 - Journal article

VL - 40

SP - 432

EP - 440

JO - Carcinogenesis

JF - Carcinogenesis

SN - 0143-3334

IS - 3

ER -

ID: 221258642