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Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk.

International journal of cancer

Dai J, Huang M, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, Rennert G, Fan J, Goodman G, Liu G, Field JK, Grankvist K, Kiemeney LA, Le Marchand L, Schabath MB, Johansson M, Aldrich MC, Johansson M, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Landi MT, Risch A, Wichmann HE, Bickeboller H, Brennan P, Shete S, Melander O, Brunnstrom H, Zienolddiny S, Woll P, Stevens V, Hu Z, Shen H.
PMID: 31577861
Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31.

Genome-wide association studies (GWAS) have identified 45 susceptibility loci associated with lung cancer. Only less than SNPs, small insertions and deletions (INDELs) are the second most abundant genetic polymorphisms in the human genome. INDELs are highly associated with multiple...

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Dai J, Huang M, Amos CI, et al. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2019;146(10):2855-2864doi: 10.1002/ijc.32698.
Dai, J., Huang, M., Amos, C. I., Hung, R. J., Tardon, A., Andrew, A., Chen, C., Christiani, D. C., Albanes, D., Rennert, G., Fan, J., Goodman, G., Liu, G., Field, J. K., Grankvist, K., Kiemeney, L. A., Le Marchand, L., Schabath, M. B., Johansson, M., Aldrich, M. C., Johansson, M., Caporaso, N., Lazarus, P., Lam, S., Bojesen, S. E., Arnold, S., Landi, M. T., Risch, A., Wichmann, H. E., Bickeboller, H., Brennan, P., Shete, S., Melander, O., Brunnstrom, H., Zienolddiny, S., Woll, P., Stevens, V., Hu, Z., & Shen, H. (2020). Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. International journal of cancer, 146(10), 2855-2864. https://doi.org/10.1002/ijc.32698
Dai, Juncheng, et al. "Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk." International journal of cancer vol. 146,10 (2020): 2855-2864. doi: https://doi.org/10.1002/ijc.32698
Dai J, Huang M, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, Rennert G, Fan J, Goodman G, Liu G, Field JK, Grankvist K, Kiemeney LA, Le Marchand L, Schabath MB, Johansson M, Aldrich MC, Johansson M, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Landi MT, Risch A, Wichmann HE, Bickeboller H, Brennan P, Shete S, Melander O, Brunnstrom H, Zienolddiny S, Woll P, Stevens V, Hu Z, Shen H. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31. PMID: 31577861; PMCID: PMC7101262.
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Defining Equity in Eligibility for Cancer Screening.

JAMA oncology

Robbins HA, Johansson M.
PMID: 31697333
JAMA Oncol. 2020 Jan 01;6(1):156. doi: 10.1001/jamaoncol.2019.4598.

No abstract available.

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Robbins HA, Johansson M. Defining Equity in Eligibility for Cancer Screening. JAMA Oncol. 2020;6(1):156doi: 10.1001/jamaoncol.2019.4598.
Robbins, H. A., & Johansson, M. (2020). Defining Equity in Eligibility for Cancer Screening. JAMA oncology, 6(1), 156. https://doi.org/10.1001/jamaoncol.2019.4598
Robbins, Hilary A, and Johansson, Mattias. "Defining Equity in Eligibility for Cancer Screening." JAMA oncology vol. 6,1 (2020): 156. doi: https://doi.org/10.1001/jamaoncol.2019.4598
Robbins HA, Johansson M. Defining Equity in Eligibility for Cancer Screening. JAMA Oncol. 2020 Jan 01;6(1):156. doi: 10.1001/jamaoncol.2019.4598. PMID: 31697333; PMCID: PMC7202979.
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Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.

HGG advances

Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gocke I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S.
PMID: 34355204
HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100041. Epub 2021 Jun 12.

Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we...

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Chen H, Majumdar A, Wang L, et al. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG Adv. 2021;2(3)doi: 10.1016/j.xhgg.2021.100041.
Chen, H., Majumdar, A., Wang, L., Kar, S., Brown, K. M., Feng, H., Turman, C., Dennis, J., Easton, D., Michailidou, K., Simard, J., Bishop, T., Cheng, I. C., Huyghe, J. R., Schmit, S. L., O'Mara, T. A., Spurdle, A. B., Gharahkhani, P., Schumacher, J., Jankowski, J., Gocke, I., Bondy, M. L., Houlston, R. S., Jenkins, R. B., Melin, B., Lesseur, C., Ness, A. R., Diergaarde, B., Olshan, A. F., Amos, C. I., Christiani, D. C., Landi, M. T., McKay, J. D., Brossard, M., Iles, M. M., Law, M. H., MacGregor, S., Beesley, J., Jones, M. R., Tyrer, J., Winham, S. J., Klein, A. P., Petersen, G., Li, D., Wolpin, B. M., Eeles, R. A., Haiman, C. A., Kote-Jarai, Z., Schumacher, F. R., Brennan, P., Chanock, S. J., Gaborieau, V., Purdue, M. P., Pharoah, P., Hung, R. J., Amundadottir, L. T., Kraft, P., Pasaniuc, B., & Lindström, S. (2021). Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG advances, 2(3), . https://doi.org/10.1016/j.xhgg.2021.100041
Chen, Hongjie, et al. "Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals." HGG advances vol. 2,3 (2021). doi: https://doi.org/10.1016/j.xhgg.2021.100041
Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gocke I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100041. Epub 2021 Jun 12. PMID: 34355204; PMCID: PMC8336922.
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Biomarkers for Lung Cancer Screening and Detection.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Ostrin EJ, Sidransky D, Spira A, Hanash SM.
PMID: 33093160
Cancer Epidemiol Biomarkers Prev. 2020 Dec;29(12):2411-2415. doi: 10.1158/1055-9965.EPI-20-0865. Epub 2020 Oct 22.

Lung cancer is the leading worldwide cause of cancer mortality, as it is often detected at an advanced stage. Since 2011, low-dose CT scan-based screening has promised a 20% reduction in lung cancer mortality. However, effectiveness of screening has...

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Ostrin EJ, Sidransky D, Spira A, et al. Biomarkers for Lung Cancer Screening and Detection. Cancer Epidemiol Biomarkers Prev. 2020;29(12):2411-2415doi: 10.1158/1055-9965.EPI-20-0865.
Ostrin, E. J., Sidransky, D., Spira, A., & Hanash, S. M. (2020). Biomarkers for Lung Cancer Screening and Detection. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 29(12), 2411-2415. https://doi.org/10.1158/1055-9965.EPI-20-0865
Ostrin, Edwin J, et al. "Biomarkers for Lung Cancer Screening and Detection." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 29,12 (2020): 2411-2415. doi: https://doi.org/10.1158/1055-9965.EPI-20-0865
Ostrin EJ, Sidransky D, Spira A, Hanash SM. Biomarkers for Lung Cancer Screening and Detection. Cancer Epidemiol Biomarkers Prev. 2020 Dec;29(12):2411-2415. doi: 10.1158/1055-9965.EPI-20-0865. Epub 2020 Oct 22. PMID: 33093160; PMCID: PMC7710615.
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Optimized Post-Vaccination Strategies and Preventative Measures for SARS-CoV-2.

medRxiv : the preprint server for health sciences

Pettit R, Peng B, Yu P, Matos PG, Greninger AL, McCashin J, Amos CI.
PMID: 34580677
medRxiv. 2021 Sep 21; doi: 10.1101/2021.09.17.21263723.

INTRODUCTION: Since March of 2020, over 210 million SARS-CoV-2 cases have been reported and roughly five billion doses of a SARS-CoV-2 vaccine have been delivered. The rise of the more infectious delta variant has recently indicated the value of...

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Pettit R, Peng B, Yu P, et al. Optimized Post-Vaccination Strategies and Preventative Measures for SARS-CoV-2. medRxiv. 2021;doi: 10.1101/2021.09.17.21263723.
Pettit, R., Peng, B., Yu, P., Matos, P. G., Greninger, A. L., McCashin, J., & Amos, C. I. (2021). Optimized Post-Vaccination Strategies and Preventative Measures for SARS-CoV-2. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2021.09.17.21263723
Pettit, Rowland, et al. "Optimized Post-Vaccination Strategies and Preventative Measures for SARS-CoV-2." medRxiv : the preprint server for health sciences vol. (2021). doi: https://doi.org/10.1101/2021.09.17.21263723
Pettit R, Peng B, Yu P, Matos PG, Greninger AL, McCashin J, Amos CI. Optimized Post-Vaccination Strategies and Preventative Measures for SARS-CoV-2. medRxiv. 2021 Sep 21; doi: 10.1101/2021.09.17.21263723. PMID: 34580677; PMCID: PMC8475973.
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A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies.

Journal of the American Statistical Association

Liu Z, Lin X.
PMID: 31564761
J Am Stat Assoc. 2019;114(527):975-990. doi: 10.1080/01621459.2018.1513363. Epub 2019 Feb 26.

Joint analysis of multiple phenotypes can increase statistical power in genetic association studies. Principal component analysis, as a popular dimension reduction method, especially when the number of phenotypes is high-dimensional, has been proposed to analyze multiple correlated phenotypes. It...

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Liu Z, Lin X. A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies. J Am Stat Assoc. 2019;114(527):975-990doi: 10.1080/01621459.2018.1513363.
Liu, Z., & Lin, X. (2019). A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies. Journal of the American Statistical Association, 114(527), 975-990. https://doi.org/10.1080/01621459.2018.1513363
Liu, Zhonghua, and Lin, Xihong. "A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies." Journal of the American Statistical Association vol. 114,527 (2019): 975-990. doi: https://doi.org/10.1080/01621459.2018.1513363
Liu Z, Lin X. A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies. J Am Stat Assoc. 2019;114(527):975-990. doi: 10.1080/01621459.2018.1513363. Epub 2019 Feb 26. PMID: 31564761; PMCID: PMC6764517.
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Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development.

Oncotarget

Li Y, Xiao X, Bossé Y, Gorlova O, Gorlov I, Han Y, Byun J, Leighl N, Johansen JS, Barnett M, Chen C, Goodman G, Cox A, Taylor F, Woll P, Wichmann HE, Manz J, Muley T, Risch A, Rosenberger A, Han J, Siminovitch K, Arnold SM, Haura EB, Bolca C, Holcatova I, Janout V, Kontic M, Lissowska J, Mukeria A, Ognjanovic S, Orlowski TM, Scelo G, Swiatkowska B, Zaridze D, Bakke P, Skaug V, Zienolddiny S, Duell EJ, Butler LM, Houlston R, Artigas MS, Grankvist K, Johansson M, Shepherd FA, Marcus MW, Brunnström H, Manjer J, Melander O, Muller DC, Overvad K, Trichopoulou A, Tumino R, Liu G, Bojesen SE, Wu X, Le Marchand L, Albanes D, Bickeböller H, Aldrich MC, Bush WS, Tardon A, Rennert G, Teare MD, Field JK, Kiemeney LA, Lazarus P, Haugen A, Lam S, Schabath MB, Andrew AS, Bertazzi PA, Pesatori AC, Christiani DC, Caporaso N, Johansson M, McKay JD, Brennan P, Hung RJ, Amos CI.
PMID: 30956756
Oncotarget. 2019 Mar 05;10(19):1760-1774. doi: 10.18632/oncotarget.26678. eCollection 2019 Mar 05.

The development of cancer is driven by the accumulation of many oncogenesis-related genetic alterations and tumorigenesis is triggered by complex networks of involved genes rather than independent actions. To explore the epistasis existing among oncogenesis-related genes in lung cancer...

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Li Y, Xiao X, Bossé Y, et al. Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget. 2019;10(19):1760-1774doi: 10.18632/oncotarget.26678.
Li, Y., Xiao, X., Bossé, Y., Gorlova, O., Gorlov, I., Han, Y., Byun, J., Leighl, N., Johansen, J. S., Barnett, M., Chen, C., Goodman, G., Cox, A., Taylor, F., Woll, P., Wichmann, H. E., Manz, J., Muley, T., Risch, A., Rosenberger, A., Han, J., Siminovitch, K., Arnold, S. M., Haura, E. B., Bolca, C., Holcatova, I., Janout, V., Kontic, M., Lissowska, J., Mukeria, A., Ognjanovic, S., Orlowski, T. M., Scelo, G., Swiatkowska, B., Zaridze, D., Bakke, P., Skaug, V., Zienolddiny, S., Duell, E. J., Butler, L. M., Houlston, R., Artigas, M. S., Grankvist, K., Johansson, M., Shepherd, F. A., Marcus, M. W., Brunnström, H., Manjer, J., Melander, O., Muller, D. C., Overvad, K., Trichopoulou, A., Tumino, R., Liu, G., Bojesen, S. E., Wu, X., Le Marchand, L., Albanes, D., Bickeböller, H., Aldrich, M. C., Bush, W. S., Tardon, A., Rennert, G., Teare, M. D., Field, J. K., Kiemeney, L. A., Lazarus, P., Haugen, A., Lam, S., Schabath, M. B., Andrew, A. S., Bertazzi, P. A., Pesatori, A. C., Christiani, D. C., Caporaso, N., Johansson, M., McKay, J. D., Brennan, P., Hung, R. J., & Amos, C. I. (2019). Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget, 10(19), 1760-1774. https://doi.org/10.18632/oncotarget.26678
Li, Yafang, et al. "Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development." Oncotarget vol. 10,19 (2019): 1760-1774. doi: https://doi.org/10.18632/oncotarget.26678
Li Y, Xiao X, Bossé Y, Gorlova O, Gorlov I, Han Y, Byun J, Leighl N, Johansen JS, Barnett M, Chen C, Goodman G, Cox A, Taylor F, Woll P, Wichmann HE, Manz J, Muley T, Risch A, Rosenberger A, Han J, Siminovitch K, Arnold SM, Haura EB, Bolca C, Holcatova I, Janout V, Kontic M, Lissowska J, Mukeria A, Ognjanovic S, Orlowski TM, Scelo G, Swiatkowska B, Zaridze D, Bakke P, Skaug V, Zienolddiny S, Duell EJ, Butler LM, Houlston R, Artigas MS, Grankvist K, Johansson M, Shepherd FA, Marcus MW, Brunnström H, Manjer J, Melander O, Muller DC, Overvad K, Trichopoulou A, Tumino R, Liu G, Bojesen SE, Wu X, Le Marchand L, Albanes D, Bickeböller H, Aldrich MC, Bush WS, Tardon A, Rennert G, Teare MD, Field JK, Kiemeney LA, Lazarus P, Haugen A, Lam S, Schabath MB, Andrew AS, Bertazzi PA, Pesatori AC, Christiani DC, Caporaso N, Johansson M, McKay JD, Brennan P, Hung RJ, Amos CI. Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget. 2019 Mar 05;10(19):1760-1774. doi: 10.18632/oncotarget.26678. eCollection 2019 Mar 05. PMID: 30956756; PMCID: PMC6442994.
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Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer.

Journal of the American Statistical Association

Sun R, Lin X.
PMID: 33041403
J Am Stat Assoc. 2020;115(531):1079-1091. doi: 10.1080/01621459.2019.1660170. Epub 2019 Oct 16.

Studying the effects of groups of single nucleotide polymorphisms (SNPs), as in a gene, genetic pathway, or network, can provide novel insight into complex diseases like breast cancer, uncovering new genetic associations and augmenting the information that can be...

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Sun R, Lin X. Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer. J Am Stat Assoc. 2019;115(531):1079-1091doi: 10.1080/01621459.2019.1660170.
Sun, R., & Lin, X. (2020). Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer. Journal of the American Statistical Association, 115(531), 1079-1091. https://doi.org/10.1080/01621459.2019.1660170
Sun, Ryan, and Lin, Xihong. "Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer." Journal of the American Statistical Association vol. 115,531 (2020): 1079-1091. doi: https://doi.org/10.1080/01621459.2019.1660170
Sun R, Lin X. Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer. J Am Stat Assoc. 2020;115(531):1079-1091. doi: 10.1080/01621459.2019.1660170. Epub 2019 Oct 16. PMID: 33041403; PMCID: PMC7539682.
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Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.

HGG advances

Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gocke I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S.
PMID: 34355204
HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100041. Epub 2021 Jun 12.

Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we...

Cite
Chen H, Majumdar A, Wang L, et al. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG Adv. 2021;2(3)doi: 10.1016/j.xhgg.2021.100041.
Chen, H., Majumdar, A., Wang, L., Kar, S., Brown, K. M., Feng, H., Turman, C., Dennis, J., Easton, D., Michailidou, K., Simard, J., Bishop, T., Cheng, I. C., Huyghe, J. R., Schmit, S. L., O'Mara, T. A., Spurdle, A. B., Gharahkhani, P., Schumacher, J., Jankowski, J., Gocke, I., Bondy, M. L., Houlston, R. S., Jenkins, R. B., Melin, B., Lesseur, C., Ness, A. R., Diergaarde, B., Olshan, A. F., Amos, C. I., Christiani, D. C., Landi, M. T., McKay, J. D., Brossard, M., Iles, M. M., Law, M. H., MacGregor, S., Beesley, J., Jones, M. R., Tyrer, J., Winham, S. J., Klein, A. P., Petersen, G., Li, D., Wolpin, B. M., Eeles, R. A., Haiman, C. A., Kote-Jarai, Z., Schumacher, F. R., Brennan, P., Chanock, S. J., Gaborieau, V., Purdue, M. P., Pharoah, P., Hung, R. J., Amundadottir, L. T., Kraft, P., Pasaniuc, B., & Lindström, S. (2021). Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG advances, 2(3), . https://doi.org/10.1016/j.xhgg.2021.100041
Chen, Hongjie, et al. "Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals." HGG advances vol. 2,3 (2021). doi: https://doi.org/10.1016/j.xhgg.2021.100041
Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gocke I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100041. Epub 2021 Jun 12. PMID: 34355204; PMCID: PMC8336922.
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Identifying US County-level characteristics associated with high COVID-19 burden.

BMC public health

Li D, Gaynor SM, Quick C, Chen JT, Stephenson BJK, Coull BA, Lin X.
PMID: 34049526
BMC Public Health. 2021 May 28;21(1):1007. doi: 10.1186/s12889-021-11060-9.

BACKGROUND: Identifying county-level characteristics associated with high coronavirus 2019 (COVID-19) burden can help allow for data-driven, equitable allocation of public health intervention resources and reduce burdens on health care systems.METHODS: Synthesizing data from various government and nonprofit institutions for...

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Li D, Gaynor SM, Quick C, et al. Identifying US County-level characteristics associated with high COVID-19 burden. BMC Public Health. 2021;21(1):1007doi: 10.1186/s12889-021-11060-9.
Li, D., Gaynor, S. M., Quick, C., Chen, J. T., Stephenson, B. J. K., Coull, B. A., & Lin, X. (2021). Identifying US County-level characteristics associated with high COVID-19 burden. BMC public health, 21(1), 1007. https://doi.org/10.1186/s12889-021-11060-9
Li, Daniel, et al. "Identifying US County-level characteristics associated with high COVID-19 burden." BMC public health vol. 21,1 (2021): 1007. doi: https://doi.org/10.1186/s12889-021-11060-9
Li D, Gaynor SM, Quick C, Chen JT, Stephenson BJK, Coull BA, Lin X. Identifying US County-level characteristics associated with high COVID-19 burden. BMC Public Health. 2021 May 28;21(1):1007. doi: 10.1186/s12889-021-11060-9. PMID: 34049526; PMCID: PMC8162162.
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A multi-omics study links TNS3 and SEPT7 to long-term former smoking NSCLC survival.

NPJ precision oncology

Shen S, Wei Y, Li Y, Duan W, Dong X, Lin L, You D, Tardon A, Chen C, Field JK, Hung RJ, Liu G, Zhu D, Amos CI, Su L, Zhao Y, Hu Z, Shen H, Zhang R, Chen F, Christiani DC.
PMID: 34002017
NPJ Precis Oncol. 2021 May 17;5(1):39. doi: 10.1038/s41698-021-00182-3.

The genetic architecture of non-small cell lung cancer (NSCLC) is relevant to smoking status. However, the genetic contribution of long-term smoking cessation to the prognosis of NSCLC patients remains largely unknown. We conducted a genome-wide association study primarily on...

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Shen S, Wei Y, Li Y, et al. A multi-omics study links TNS3 and SEPT7 to long-term former smoking NSCLC survival. NPJ Precis Oncol. 2021;5(1):39doi: 10.1038/s41698-021-00182-3.
Shen, S., Wei, Y., Li, Y., Duan, W., Dong, X., Lin, L., You, D., Tardon, A., Chen, C., Field, J. K., Hung, R. J., Liu, G., Zhu, D., Amos, C. I., Su, L., Zhao, Y., Hu, Z., Shen, H., Zhang, R., Chen, F., & Christiani, D. C. (2021). A multi-omics study links TNS3 and SEPT7 to long-term former smoking NSCLC survival. NPJ precision oncology, 5(1), 39. https://doi.org/10.1038/s41698-021-00182-3
Shen, Sipeng, et al. "A multi-omics study links TNS3 and SEPT7 to long-term former smoking NSCLC survival." NPJ precision oncology vol. 5,1 (2021): 39. doi: https://doi.org/10.1038/s41698-021-00182-3
Shen S, Wei Y, Li Y, Duan W, Dong X, Lin L, You D, Tardon A, Chen C, Field JK, Hung RJ, Liu G, Zhu D, Amos CI, Su L, Zhao Y, Hu Z, Shen H, Zhang R, Chen F, Christiani DC. A multi-omics study links TNS3 and SEPT7 to long-term former smoking NSCLC survival. NPJ Precis Oncol. 2021 May 17;5(1):39. doi: 10.1038/s41698-021-00182-3. PMID: 34002017; PMCID: PMC8128887.
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The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Byun J, Han Y, Ostrom QT, Edelson J, Walsh KM, Pettit RW, Bondy ML, Hung RJ, McKay JD, Amos CI.
PMID: 33771847
Cancer Epidemiol Biomarkers Prev. 2021 Jun;30(6):1156-1164. doi: 10.1158/1055-9965.EPI-20-1635. Epub 2021 Mar 26.

BACKGROUND: Prior genome-wide association studies have identified numerous lung cancer risk loci and reveal substantial etiologic heterogeneity across histologic subtypes. Analyzing the shared genetic architecture underlying variation in complex traits can elucidate common genetic etiologies across phenotypes. Exploring pairwise...

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Byun J, Han Y, Ostrom QT, et al. The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies. Cancer Epidemiol Biomarkers Prev. 2021;30(6):1156-1164doi: 10.1158/1055-9965.EPI-20-1635.
Byun, J., Han, Y., Ostrom, Q. T., Edelson, J., Walsh, K. M., Pettit, R. W., Bondy, M. L., Hung, R. J., McKay, J. D., Amos, C. I. (2021). The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 30(6), 1156-1164. https://doi.org/10.1158/1055-9965.EPI-20-1635
Byun, Jinyoung, et al. "The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 30,6 (2021): 1156-1164. doi: https://doi.org/10.1158/1055-9965.EPI-20-1635
Byun J, Han Y, Ostrom QT, Edelson J, Walsh KM, Pettit RW, Bondy ML, Hung RJ, McKay JD, Amos CI. The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies. Cancer Epidemiol Biomarkers Prev. 2021 Jun;30(6):1156-1164. doi: 10.1158/1055-9965.EPI-20-1635. Epub 2021 Mar 26. PMID: 33771847.
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