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Manandhar Shrestha R, Mizoue T, Islam Z, Kawakatsu Y, Ito H, Wada K, Nagata C, Zha L, Kitamura T, Sakata R, Kimura T, Sugawara Y, Tsuji I, Sato R, Sawada N, Tsugane S, Lin Y, Oze I, Abe SK, Inoue M. Adult Height and Risk of Colorectal Cancer: A Pooled Analysis of 10 Population-based Cohort Studies in Japan. J Epidemiol 2024; 34:94-103. [PMID: 36843108 PMCID: PMC10751191 DOI: 10.2188/jea.je20220289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/08/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND While tall stature has been linked to an increase in the risk of colorectal cancer (CRC), its association with cancer in the colorectum and its subsites remains unclear among Asians. METHODS We conducted a pooled analysis of 10 population-based cohort studies among adults in Japan. Each study estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for CRC incidence associated with adult height were estimated using Cox proportional hazards regression with adjustment of the same set of covariates were then pooled to estimate summary HRs incidence using random-effect models. RESULTS We identified 9,470 CRC incidences among 390,063 participants during 5,672,930 person-years of follow-up. Men and women with tall stature had a higher risk of CRC and colon cancer. HRs for CRC, colon cancer, and distal colon cancer for the highest versus lowest height categories were 1.23 (95% CI, 1.07-1.40), 1.22 (95% CI, 1.09-1.36), and 1.27 (95% CI, 1.08-1.49), respectively, in men and 1.21 (95% CI, 1.09-1.35), 1.23 (95% CI, 1.08-1.40), and 1.35 (95% CI, 1.003-1.81), respectively, in women. The association with proximal colon cancer and rectal cancer was less evident in both sexes. CONCLUSION This pooled analysis confirms the link between tall stature and a higher risk of CRC and colon cancer (especially distal colon) among the Japanese and adds evidence to support the use of adult height to identify those at a higher risk of CRC.
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Affiliation(s)
- Rachana Manandhar Shrestha
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Zobida Islam
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yukino Kawakatsu
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan
| | - Hidemi Ito
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Cancer Information and Control, Aichi Cancer Center, Nagoya, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Ling Zha
- Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tetsuhisa Kitamura
- Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Ritsu Sakata
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Takashi Kimura
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Yumi Sugawara
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Ren Sato
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yingsong Lin
- Department of Public Health, School of Medicine, Aichi Medical University School of Medicine, Aichi, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan
| | - Sarah Krull Abe
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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Xi Y, Wu Q, Zeng Y, Qi J, Li J, He H, Xu H, Hu J, Yan X, Bai L, Han C, Hu S, Wang J, Liu H, Li L. Identification of the genetic basis of the duck growth rate in multiple growth stages using genome-wide association analysis. BMC Genomics 2023; 24:285. [PMID: 37237371 DOI: 10.1186/s12864-023-09302-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/09/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND The genetic locus responsible for duck body size has been fully explained before, but the growth trait-related genetic basis is still waiting to be explored. For example, the genetic site related to growth rate, an important economic trait affecting marketing weight and feeding cost, is still unclear. Here, we performed genome wide association study (GWAS) to identify growth rate-associated genes and mutations. RESULT In the current study, the body weight data of 358 ducks were recorded every 10 days from hatching to 120 days of age. According to the growth curve, we evaluated the relative and absolute growth rates (RGR and AGR) of 5 stages during the early rapid growth period. GWAS results for RGRs identified 31 significant SNPs on autosomes, and these SNPs were annotated by 24 protein-coding genes. Fourteen autosomal SNPs were significantly associated with AGRs. In addition, 4 shared significant SNPs were identified as having an association with both AGR and RGR, which were Chr2: 11483045 C>T, Chr2: 13750217 G>A, Chr2: 42508231 G>A and Chr2: 43644612 C>T. Among them, Chr2: 11483045 C>T, Chr2: 42508231 G>A, and Chr2: 43644612 C>T were annotated by ASAP1, LYN and CABYR, respectively. ASAP1 and LYN have already been proven to play roles in the growth and development of other species. In addition, we genotyped every duck using the most significant SNP (Chr2: 42508231 G>A) and compared the growth rate difference among each genotype population. The results showed that the growth rates of individuals carrying the Chr2: 42508231 A allele were significantly lower than those without this allele. Moreover, the results of the Mendelian randomization (MR) analysis supported the idea that the growth rate and birth weight had a causal effect on the adult body weight, with the growth rate having a greater effect size. CONCLUSION In this study, 41 SNPs significantly related to growth rate were identified. In addition, we considered that the ASAP1 and LYN genes are essential candidate genes affecting the duck growth rate. The growth rate also showed the potential to be used as a reliable predictor of adult weight, providing a theoretical reference for preselection.
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Affiliation(s)
- Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Qifan Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Yutian Zeng
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Junpeng Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Hua He
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Hengyong Xu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Xiping Yan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Chunchun Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Shenqiang Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China.
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China.
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Llobet MO, Johansson A, Gyllensten U, Allen M, Enroth S. Forensic prediction of sex, age, height, body mass index, hip-to-waist ratio, smoking status and lipid lowering drugs using epigenetic markers and plasma proteins. Forensic Sci Int Genet 2023; 65:102871. [PMID: 37054667 DOI: 10.1016/j.fsigen.2023.102871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 04/08/2023]
Abstract
The prediction of human characteristics from blood using molecular markers would be very helpful in forensic science. Such information can be particularly important in providing investigative leads in police casework from, for example, blood found at crime scenes in cases without a suspect. Here, we investigated the possibilities and limitations of predicting seven phenotypic traits (sex, age, height, body mass index [BMI], hip-to-waist [WTH] ratio, smoking status and lipid-lowering drug use) using either DNA methylation or plasma proteins separately or in combination. We developed a prediction pipeline starting with the prediction of sex followed by sex-specific, stepwise, individual age, sex-specific anthropometric traits and, finally, lifestyle-related traits. Our data revealed that age, sex and smoking status can be accurately predicted from DNA methylation alone, while the use of plasma proteins was highly accurate for prediction of the WTH ratio, and a combined analysis of the best predictions for BMI and lipid-lowering drug use. In unseen individuals, age was predicted with a standard error of 3.3 years for women and 6.5 years for men, while the accuracy in smoking prediction across both men and women was 0.86. In conclusion, we have developed a stepwise approach for the de-novo prediction of individual characteristics from plasma proteins and DNA methylation markers. These models are accurate and may provide valuable information and investigative leads in future forensic casework.
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Guo JZ, Wu QJ, Liu FH, Gao C, Gong TT, Li G. Review of Mendelian Randomization Studies on Endometrial Cancer. Front Endocrinol (Lausanne) 2022; 13:783150. [PMID: 35615721 PMCID: PMC9124776 DOI: 10.3389/fendo.2022.783150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 03/30/2022] [Indexed: 01/04/2023] Open
Abstract
Endometrial cancer (EC) is a common gynecological cancer. In some parts of the world, the incidence and mortality of EC are on the rise. Understanding the risk factors of EC is necessary to prevent the occurrence of this disease. Observational studies have revealed the association between certain modifiable environmental risk factors and EC risk. However, due to unmeasured confounding, measurement errors, and reverse causality, observational studies sometimes have limited ability to judge robust causal inferences. In recent years, Mendelian randomization (MR) analysis has received extensive attention, providing valuable insights for cancer-related research, and is expected to identify potential therapeutic interventions. In MR analysis, genetic variation (alleles are randomly assigned during meiosis and are usually independent of environmental or lifestyle factors) is used instead of modifiable exposure to study the relationship between risk factors and disease. Therefore, MR analysis can make causal inference about exposure and disease risk. This review briefly describes the key principles and assumptions of MR analysis; summarizes published MR studies on EC; focuses on the correlation between different risk factors and EC risks; and discusses the application of MR methods in EC research. The results of MR studies on EC showed that type 2 diabetes, uterine fibroids, higher body mass index, higher plasminogen activator inhibitor-1 (PAI-1), higher fasting insulin, early insulin secretion, longer telomere length, higher testosterone and higher plasma cortisol levels are associated with increased risk of EC. In contrast, later age of menarche, higher circulatory tumor necrosis factor, higher low-density lipoprotein cholesterol, and higher sex hormone-binding globulin levels are associated with reduced risk of EC. In general, despite some limitations, MR analysis still provides an effective way to explore the causal relationship between different risk factors and EC.
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Affiliation(s)
- Jian-Zeng Guo
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Chang Gao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- *Correspondence: Gang Li, ; Ting-Ting Gong,
| | - Gang Li
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China
- *Correspondence: Gang Li, ; Ting-Ting Gong,
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Shrestha RM, Mizoue T, Sawada N, Matsuo K, Wada K, Tanaka K, Lin Y, Sugawara Y, Takimoto H, Kimura T, Ito H, Kitamura T, Sakata R, Tanaka S, Inoue M. Adult height in relation to the risk of colorectal cancer among the Japanese population: an evaluation based on systematic review and meta-analysis. Jpn J Clin Oncol 2021; 52:322-330. [PMID: 34969070 DOI: 10.1093/jjco/hyab203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/04/2021] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE The association between adult-attained height and risk of colorectal cancer remains elusive among the Japanese population. We performed a systematic review and meta-analysis of epidemiological studies in Japan. METHODS We systematically searched the MEDLINE (PubMed) and Ichushi databases and complemented it with manual search to identify eligible studies. We extracted relative risks or odds ratios from the selected studies and conducted meta-analysis to estimate the summary relative risk with 95% confidence interval. We made the final judgment based on a consensus of the research group members considering both epidemiological evidence and biological plausibility. RESULTS This systematic review identified four cohort and one case-control studies among the Japanese. The meta-analysis of these five studies showed the summary relative risk of 1.21 (95% confidence interval: 1.07-1.35) of overall colorectal cancer for the highest vs. lowest categories of height. In the analysis by the cancer subsite, the association was significant for colon cancer with a summary relative risk of 1.26 (95% confidence interval: 1.10-1.45) but not for rectal cancer 1.05 (95% confidence interval: 0.71-1.54). In the analysis by sex, tall stature was associated with a significantly increased risk of overall colorectal cancer in both sexes; the summary relative risk was 1.21 (95% confidence interval: 1.04-1.41) in men and 1.20 (95% confidence interval: 1.00-1.44) in women, respectively. CONCLUSIONS The evidence to support that adult-attained height is associated with increased risk of colorectal cancer (colon cancer) among the Japanese population is 'probable'.
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Affiliation(s)
- Rachana Manandhar Shrestha
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yingsong Lin
- Department of Public Health, Aichi Medical University School of Medicine, Aichi, Japan
| | - Yumi Sugawara
- Department of Health Informatics and Public Health, Division of Epidemiology, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Hidemi Takimoto
- Department of Nutritional Epidemiology, National Institute of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Takashi Kimura
- Laboratory of Comparative Pathology, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Tetsuhisa Kitamura
- Department of Environmental Medicine and Population Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Ritsu Sakata
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Shiori Tanaka
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
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Shimizu Y, Maeda T. Influence of height on endothelial maintenance activity: a narrative review. Environ Health Prev Med 2021; 26:19. [PMID: 33549053 PMCID: PMC7866474 DOI: 10.1186/s12199-021-00941-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 01/24/2021] [Indexed: 12/25/2022] Open
Abstract
Recent studies have revealed an inverse association between height and cardiovascular disease. However, the background mechanism of this association has not yet been clarified. Height has also been reported to be positively associated with cancer. Therefore, well-known cardiovascular risk factors, such as increased oxidative stress and chronic inflammation, are not the best explanations for this inverse association because these risk factors are also related to cancer. However, impaired blood flow is the main pathological problem in cardiovascular disease, while glowing feeding vessels (angiogenesis) are the main characteristic of cancer pathologies. Therefore, endothelial maintenance activity, especially for the productivity of hematopoietic stem cells such as CD34-positive cells, could be associated with the height of an individual because this cell contributes not only to the progression of atherosclerosis but also to the development of angiogenesis. In addition, recent studies have also revealed a close connection between bone marrow activity and endothelial maintenance; bone marrow-derived hematopoietic stem cells contribute towards endothelial maintenance. Since the absolute volume of bone marrow is positively associated with height, height could influence endothelial maintenance activity. Based on these hypotheses, we performed several studies. The aim of this review is not only to discuss the association between height and bone marrow activity, but also to describe the potential mechanism underlying endothelial maintenance. In addition, this review also aims to explain some of the reasons that implicate hypertension as a major risk factor for stroke among the Japanese population. The review also aims to clarify the anthropological reasons behind the high risk of atherosclerosis progression in Japanese individuals with acquired genetic characteristics.
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Affiliation(s)
- Yuji Shimizu
- Department of Community Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki-shi, Sakamoto 1-12-4, Nagasaki, 852-8523, Japan. .,Department of Cardiovascular Disease Prevention, Osaka Center for Cancer and Cardiovascular Diseases Prevention, Osaka, Japan.
| | - Takahiro Maeda
- Department of General Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
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Simińska D, Korbecki J, Kojder K, Kapczuk P, Fabiańska M, Gutowska I, Machoy-Mokrzyńska A, Chlubek D, Baranowska-Bosiacka I. Epidemiology of Anthropometric Factors in Glioblastoma Multiforme-Literature Review. Brain Sci 2021; 11:116. [PMID: 33467126 PMCID: PMC7829953 DOI: 10.3390/brainsci11010116] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 12/23/2020] [Accepted: 01/14/2021] [Indexed: 12/12/2022] Open
Abstract
Although glioblastoma multiforme (GBM) is a widely researched cancer of the central nervous system, we still do not know its full pathophysiological mechanism and we still lack effective treatment methods as the current combination of surgery, radiotherapy, and chemotherapy does not bring about satisfactory results. The median survival time for GBM patients is only about 15 months. In this paper, we present the epidemiology of central nervous system (CNS) tumors and review the epidemiological data on GBM regarding gender, age, weight, height, and tumor location. The data indicate the possible influence of some anthropometric factors on the occurrence of GBM, especially in those who are male, elderly, overweight, and/or are taller. However, this review of single and small-size epidemiological studies should not be treated as definitive due to differences in the survey methods used. Detailed epidemiological registers could help identify the main at-risk groups which could then be used as homogenous study groups in research worldwide. Such research, with less distortion from various factors, could help identify the pathomechanisms that lead to the development of GBM.
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Affiliation(s)
- Donata Simińska
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 Av., 70-111 Szczecin, Poland; (D.S.); (J.K.); (P.K.); (D.C.)
| | - Jan Korbecki
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 Av., 70-111 Szczecin, Poland; (D.S.); (J.K.); (P.K.); (D.C.)
| | - Klaudyna Kojder
- Department of Anaesthesiology and Intensive Care, Pomeranian Medical University in Szczecin, Unii Lubelskiej 1 St., 71-281 Szczecin, Poland;
| | - Patrycja Kapczuk
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 Av., 70-111 Szczecin, Poland; (D.S.); (J.K.); (P.K.); (D.C.)
| | - Marta Fabiańska
- Institute of Philosophy and Cognitive Science, University of Szczecin, Krakowska 71–79, 71-017 Szczecin, Poland;
| | - Izabela Gutowska
- Department of Medical Chemistry, Pomeranian Medical University in Szczecin, Powstańców Wlkp. 72 Av., 70-111 Szczecin, Poland;
| | - Anna Machoy-Mokrzyńska
- Department of Experimental and Clinical Pharmacology, Pomeranian Medical University in Szczecin, Powstańców Wlkp. 72 Av., 70-111 Szczecin, Poland;
| | - Dariusz Chlubek
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 Av., 70-111 Szczecin, Poland; (D.S.); (J.K.); (P.K.); (D.C.)
| | - Irena Baranowska-Bosiacka
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 Av., 70-111 Szczecin, Poland; (D.S.); (J.K.); (P.K.); (D.C.)
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Crisafulli C, Romeo PD, Calabrò M, Epasto LM, Alberti S. Pharmacogenetic and pharmacogenomic discovery strategies. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2019; 2:225-241. [PMID: 35582724 PMCID: PMC8992635 DOI: 10.20517/cdr.2018.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/22/2019] [Accepted: 03/26/2019] [Indexed: 11/12/2022]
Abstract
Genetic/genomic profiling at a single-patient level is expected to provide critical information for determining inter-individual drug toxicity and potential efficacy in cancer therapy. A better definition of cancer subtypes at a molecular level, may correspondingly complement such pharmacogenetic and pharmacogenomic approaches, for more effective personalized treatments. Current pharmacogenetic/pharmacogenomic strategies are largely based on the identification of known polymorphisms, thus limiting the discovery of novel or rarer genetic variants. Recent improvements in cost and throughput of next generation sequencing (NGS) are now making whole-genome profiling a plausible alternative for clinical procedures. Beyond classical pharmacogenetic/pharmacogenomic traits for drug metabolism, NGS screening programs of cancer genomes may lead to the identification of novel cancer-driving mutations. These may not only constitute novel therapeutic targets, but also effector determinants for metabolic pathways linked to drug metabolism. An additional advantage is that cancer NGS profiling is now leading to discovering targetable mutations, e.g., in glioblastomas and pancreatic cancers, which were originally discovered in other tumor types, thus allowing for effective repurposing of active drugs already on the market.
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Affiliation(s)
- Concetta Crisafulli
- Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy
| | | | - Marco Calabrò
- Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy
| | - Ludovica Martina Epasto
- Unit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy
| | - Saverio Alberti
- Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.,Unit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy.,Correspondence Address: Prof. Saverio Alberti, Unit of Medical Genetics, BIOMORF Department of Biomedical Sciences, University of Messina, via Consolare Valeria, 98125 Messina, Italy. E-mail:
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Wang L, Huang M, Ding H, Jin G, Chen L, Chen F, Shen H. Genetically determined height was associated with lung cancer risk in East Asian population. Cancer Med 2018; 7:3445-3452. [PMID: 29790669 PMCID: PMC6051217 DOI: 10.1002/cam4.1557] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Revised: 04/24/2018] [Accepted: 04/24/2018] [Indexed: 12/29/2022] Open
Abstract
The association between adult height and risk of lung cancer has been investigated by epidemiology studies, but the results are inconsistent. Mendelian randomization (MR) analyses with individual‐level data from two genome‐wide association studies, including a total of 7127 lung cancer cases and 6818 controls, were carried out to explore whether adult height is causally associated with risk of lung cancer. A weighted genetic risk score (wGRS) was created based on genotypes of 101 known height‐associated genetic variants. Association between the wGRS and risk of lung cancer was analyzed by logistic regression for each study separately. The combined effect was calculated using fixed effect meta‐analysis. MR analyses showed that increased risk of lung cancer (OR = 1.19, 95%CI: 1.05‐1.35, P = 0.006) associated with taller genetically determined height. Compared with individuals in the lowest tertile of the height‐associated wGRS, those in the highest tertile had 1.10‐fold (95% CI: 1.01‐1.20) increased risk of developing lung cancer. Sensitivity analyses excluding BMI‐associated genetic variants demonstrated consistent association. Our study suggested that genetically taller height was associated with increased risk of lung cancer in East Asian population, indicating that increasing height may have a causal role in lung cancer carcinogenesis.
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Affiliation(s)
- Lu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mingtao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hui Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center of Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Liang Chen
- Department of Thoracic Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Feng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center of Cancer Medicine, Nanjing Medical University, Nanjing, China
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10
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Farland LV, Missmer SA, Bijon A, Gusto G, Gelot A, Clavel-Chapelon F, Mesrine S, Boutron-Ruault MC, Kvaskoff M. Associations among body size across the life course, adult height and endometriosis. Hum Reprod 2018; 32:1732-1742. [PMID: 28591798 DOI: 10.1093/humrep/dex207] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Accepted: 05/11/2017] [Indexed: 12/11/2022] Open
Abstract
STUDY QUESTION Are body size across the life course and adult height associated with endometriosis? SUMMARY ANSWER Endometriosis is associated with lean body size during childhood, adolescence and adulthood; tall total adult height; and tall sitting height. WHAT IS KNOWN ALREADY The literature suggests that both adult body size and height are associated with endometriosis risk, but few studies have investigated the role of body size across the life course. Additionally, no study has investigated the relationships between components of height and endometriosis. STUDY DESIGN, SIZE, DURATION We used a nested case-control design within E3N (Etude Epidémiologique auprès de femmes de l'Education Nationale), a prospective cohort of French women. Data were updated every 2-3 years through self-administered questionnaires. Odds ratios (ORs) and 95% CIs were computed using logistic regression models adjusted for a priori confounding factors. PARTICIPANTS/MATERIALS, SETTING, METHODS A total of 2416 endometriosis cases were reported as surgically ascertained among the 61 208 included women. MAIN RESULTS AND THE ROLE OF CHANCE The odds of endometriosis were lower among women who reported having a large versus lean body size at 8 years (P for trend = 0.003), at menarche (P for trend < 0.0001) and at ages 20-25 years (P for trend < 0.0001). Women in the highest quartiles of height had statistically significantly increased odds of endometriosis compared to those in the lowest (<158 cm) (162-164 cm: OR = 1.28, 95% CI = 1.12-1.46; ≥165 cm: OR = 1.33, 95% CI = 1.18-1.49, P for trend < 0.0001). Statistically significantly increased odds were also observed among women with a taller sitting height (OR = 1.24, 95% CI = 1.05-1.47, P for trend = 0.01). Leg length was not statistically significantly associated with endometriosis. LIMITATIONS REASONS FOR CAUTION Endometriosis cases may be prone to misclassification; however, we restricted our case definition to surgically-confirmed cases, which showed a high validation rate. Body size is based on retrospective self-report, which may be subject to recall bias. WIDER IMPLICATIONS OF THE FINDINGS The results of this study suggest that endometriosis is positively associated with lean body size across the life course and total adult height. They also suggest that components of height are associated with endometriosis, which should be investigated further. STUDY FUNDING/COMPETING INTEREST(S) The Mutuelle Générale de l'Education Nationale (MGEN); the European Community; the French League against Cancer (LNCC); Gustave Roussy; the French Institute of Health and Medical Research (Inserm). L.V.F. was supported by a T32 grant (#HD060454) in reproductive, perinatal and pediatric epidemiology from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Cancer Institute (3R25CA057711) National Institutes of Health. M.K. was supported by a Marie Curie Fellowship within the seventh European Community Framework Programme (#PIOF-GA-2011-302078). The authors have no conflicts of interest to declare.
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Affiliation(s)
- L V Farland
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA.,Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave, Boston, MA 02115, USA
| | - S A Missmer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, 181 Longwood Ave, Boston, MA 02115, USA.,College of Human Medicine, Michigan State University, 15 Michigan St. NE, Grant Rapids, MI 49503, USA
| | - A Bijon
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine UVSQ, INSERM, Université Paris-Saclay, 114 rue Edouard Vaillant, Villejuif 94805, France.,Gustave Roussy, 114 rue Edouard Vaillant, Villejuif F-94805, France
| | - G Gusto
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine UVSQ, INSERM, Université Paris-Saclay, 114 rue Edouard Vaillant, Villejuif 94805, France.,Gustave Roussy, 114 rue Edouard Vaillant, Villejuif F-94805, France
| | - A Gelot
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine UVSQ, INSERM, Université Paris-Saclay, 114 rue Edouard Vaillant, Villejuif 94805, France.,Gustave Roussy, 114 rue Edouard Vaillant, Villejuif F-94805, France
| | - F Clavel-Chapelon
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine UVSQ, INSERM, Université Paris-Saclay, 114 rue Edouard Vaillant, Villejuif 94805, France.,Gustave Roussy, 114 rue Edouard Vaillant, Villejuif F-94805, France
| | - S Mesrine
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine UVSQ, INSERM, Université Paris-Saclay, 114 rue Edouard Vaillant, Villejuif 94805, France.,Gustave Roussy, 114 rue Edouard Vaillant, Villejuif F-94805, France
| | - M C Boutron-Ruault
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine UVSQ, INSERM, Université Paris-Saclay, 114 rue Edouard Vaillant, Villejuif 94805, France.,Gustave Roussy, 114 rue Edouard Vaillant, Villejuif F-94805, France
| | - M Kvaskoff
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine UVSQ, INSERM, Université Paris-Saclay, 114 rue Edouard Vaillant, Villejuif 94805, France.,Gustave Roussy, 114 rue Edouard Vaillant, Villejuif F-94805, France
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11
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Pastorino R, Puggina A, Carreras-Torres R, Lagiou P, Holcátová I, Richiardi L, Kjaerheim K, Agudo A, Castellsagué X, Macfarlane TV, Barzan L, Canova C, Thakker NS, Conway DI, Znaor A, Healy CM, Ahrens W, Zaridze D, Szeszenia-Dabrowska N, Lissowska J, Fabianova E, Mates IN, Bencko V, Foretova L, Janout V, Brennan P, Gaborieau V, McKay JD, Boccia S. Genetic Contributions to The Association Between Adult Height and Head and Neck Cancer: A Mendelian Randomization Analysis. Sci Rep 2018; 8:4534. [PMID: 29540730 PMCID: PMC5852094 DOI: 10.1038/s41598-018-22626-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 02/19/2018] [Indexed: 01/02/2023] Open
Abstract
With the aim to dissect the effect of adult height on head and neck cancer (HNC), we use the Mendelian randomization (MR) approach to test the association between genetic instruments for height and the risk of HNC. 599 single nucleotide polymorphisms (SNPs) were identified as genetic instruments for height, accounting for 16% of the phenotypic variation. Genetic data concerning HNC cases and controls were obtained from a genome-wide association study. Summary statistics for genetic association were used in complementary MR approaches: the weighted genetic risk score (GRS) and the inverse-variance weighted (IVW). MR-Egger regression was used for sensitivity analysis and pleiotropy evaluation. From the GRS analysis, one standard deviation (SD) higher height (6.9 cm; due to genetic predisposition across 599 SNPs) raised the risk for HNC (Odds ratio (OR), 1.14; 95% Confidence Interval (95%CI), 0.99-1.32). The association analyses with potential confounders revealed that the GRS was associated with tobacco smoking (OR = 0.80, 95% CI (0.69-0.93)). MR-Egger regression did not provide evidence of overall directional pleiotropy. Our study indicates that height is potentially associated with HNC risk. However, the reported risk could be underestimated since, at the genetic level, height emerged to be inversely associated with smoking.
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Affiliation(s)
- Roberta Pastorino
- Section of Hygiene - Institute of Public Health, Università Cattolica del Sacro Cuore, L.go F. Vito, 1, 00168, Rome, Italy
| | - Anna Puggina
- Section of Hygiene - Institute of Public Health, Università Cattolica del Sacro Cuore, L.go F. Vito, 1, 00168, Rome, Italy.
| | | | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens School of Medicine, Athens, Greece
| | - Ivana Holcátová
- Institute of Hygiene and Epidemiology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lorenzo Richiardi
- University of Turin, Department of Medical Sciences, Unit of Cancer Epidemiology, Turin, Italy
| | | | - Antonio Agudo
- Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), IDIBELL, L'Hospitalet de Llobregat, Catalonia, Spain
| | - Xavier Castellsagué
- Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), IDIBELL, L'Hospitalet de Llobregat, Catalonia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Tatiana V Macfarlane
- School of Medicine and Dentistry, University of Aberdeen, Aberdeen, United Kingdom
| | | | - Cristina Canova
- Department of Environmental Medicine and Public Health, University of Padova, Padova, Italy
- MRC-HPA Centre for Environment and Health, Respiratory Epidemiology and Public Health, National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Nalin S Thakker
- University of Manchester, School of Dentistry, Manchester, United Kingdom
| | - David I Conway
- University of Glasgow Dental School, Glasgow, Scotland, United Kingdom
| | - Ariana Znaor
- Croatian National Cancer Registry, Croatian National Institute of Public Health, Zagreb, Croatia
| | - Claire M Healy
- Trinity College School of Dental Science, Dublin, Ireland
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
- Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - David Zaridze
- Institute of Carcinogenesis, Cancer Research Centre, Moscow, Russian Federation
| | | | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | | | - Ioan Nicolae Mates
- Saint Mary General and Esophageal Surgery Clinic, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Vladimir Bencko
- Institute of Hygiene and Epidemiology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | | | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | | | - James D McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Stefania Boccia
- Section of Hygiene, Institute of Public Health, Università Cattolica del Sacro Cuore, IRCCS Fondazione Policlinico 'Agostino Gemelli', Rome, Italy
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12
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Wang F, Xu X, Yang J, Min L, Liang S, Chen Y. Height and lung cancer risk: A meta-analysis of observational studies. PLoS One 2017; 12:e0185316. [PMID: 28949980 PMCID: PMC5614604 DOI: 10.1371/journal.pone.0185316] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 09/11/2017] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The association between height and lung cancer risk has been investigated by epidemiological studies but the results are inconsistent. This meta-analysis was to evaluate whether the height is associated with lung cancer. METHODS We identified relevant articles by searching the MEDLINE and EMBASE databases, and reviewed the reference lists of selected papers. A random effect model was used to calculate summary odds ratios (OR) and relative risk (RR) with 95% confidence intervals (95% CI). Publication bias was estimated using Egger's regression asymmetry test. RESULTS We included a total 16 studies (15 prospective studies and one case-control study) on adult height and lung cancer risk in the meta-analysis. Overall, per 10-cm height increases were associated with increased risk of lung cancer (RR 1.06; 95% CI 1.03-1.09, I2 = 43.6%). CONCLUSIONS In this meta-analysis, high adult height is related to increased lung cancer risk. Well-designed, large prospective studies are required to obtain a better indication of the relationship.
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Affiliation(s)
- Fang Wang
- Department of Respiration, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Xingxiang Xu
- Department of Respiration, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, China
- * E-mail:
| | - Junjun Yang
- Department of Respiration, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Lingfeng Min
- Department of Respiration, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Sudong Liang
- Department of Urology, Taizhou People's Hospital of Jiangsu Province, Taizhou, Jiangsu, China
| | - Yong Chen
- Department of Medical Oncology, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, China
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13
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A systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer risk. Sci Rep 2017; 7:41034. [PMID: 28117334 PMCID: PMC5259777 DOI: 10.1038/srep41034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Accepted: 12/15/2016] [Indexed: 01/28/2023] Open
Abstract
Data from GWAS suggest that SNPs associated with complex diseases or traits tend to co-segregate in regions of low recombination, harbouring functionally linked gene clusters. This phenomenon allows for selecting a limited number of SNPs from GWAS repositories for large-scale studies investigating shared mechanisms between diseases. For example, we were interested in shared mechanisms between adult-attained height and post-menopausal breast cancer (BC) and colorectal cancer (CRC) risk, because height is a risk factor for these cancers, though likely not a causal factor. Using SNPs from public GWAS repositories at p-values < 1 × 10−5 and a genomic sliding window of 1 mega base pair, we identified SNP clusters including at least one SNP associated with height and one SNP associated with either post-menopausal BC or CRC risk (or both). SNPs were annotated to genes using HapMap and GRAIL and analysed for significantly overrepresented pathways using ConsensuspathDB. Twelve clusters including 56 SNPs annotated to 26 genes were prioritised because these included at least one height- and one BC risk- or CRC risk-associated SNP annotated to the same gene. Annotated genes were involved in Indian hedgehog signalling (p-value = 7.78 × 10−7) and several cancer site-specific pathways. This systematic approach identified a limited number of clustered SNPs, which pinpoint potential shared mechanisms linking together the complex phenotypes height, post-menopausal BC and CRC.
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14
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Li X, Liang L, Feng YCA, De Vivo I, Giovannucci E, Tang JY, Han J. Height, height-related SNPs, and risk of non-melanoma skin cancer. Br J Cancer 2016; 116:134-140. [PMID: 27846199 PMCID: PMC5220142 DOI: 10.1038/bjc.2016.366] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 10/04/2016] [Accepted: 10/12/2016] [Indexed: 12/28/2022] Open
Abstract
Background: Adult height has been associated with risk of several site-specific cancers, including melanoma. However, less attention has been given to non-melanoma skin cancer (NMSC). Methods: We prospectively examined the risk of squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) in relation to adult height in the Nurses' Health Study (NHS, n=117 863) and the Health Professionals Follow-up Study (HPFS, n=51 111). We also investigated the relationships between height-related genetic markers and risk of BCC and SCC in the genetic data sets of the NHS and HPFS (3898 BCC cases, and 8530 BCC controls; 527 SCC cases, and 8962 SCC controls). Results: After controlling for potential confounding factors, the hazard ratios were 1.09 (95% CI: 1.02, 1.15) and 1.10 (95% CI: 1.07, 1.13) for the associations between every 10 cm increase in height and risk of SCC and BCC respectively. None of the 687 height-related single-nucleotide polymorphisms (SNPs) was significantly associated with the risk of SCC or BCC, nor were the genetic scores combining independent height-related loci. Conclusions: Our data from two large cohorts provide further evidence that height is associated with an increased risk of NMSC. More studies on height-related genetic loci and early-life exposures may help clarify the underlying mechanisms.
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Affiliation(s)
- Xin Li
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yen-Chen Anne Feng
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jean Y Tang
- Department of Dermatology, Stanford University School of Medicine, Redwood City, CA, USA
| | - Jiali Han
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.,Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA.,Center for Pharmacoepidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
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15
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Abstract
Genome-wide association studies of complex physiological traits and diseases consistently found that associated genetic factors, such as allelic polymorphisms or DNA mutations, only explained a minority of the expected heritable fraction. This discrepancy is known as “missing heritability”, and its underlying factors and molecular mechanisms are not established. Epigenetic programs may account for a significant fraction of the “missing heritability.” Epigenetic modifications, such as DNA methylation and chromatin assembly states, reflect the high plasticity of the genome and contribute to stably alter gene expression without modifying genomic DNA sequences. Consistent components of complex traits, such as those linked to human stature/height, fertility, and food metabolism or to hereditary defects, have been shown to respond to environmental or nutritional condition and to be epigenetically inherited. The knowledge acquired from epigenetic genome reprogramming during development, stem cell differentiation/de-differentiation, and model organisms is today shedding light on the mechanisms of (a) mitotic inheritance of epigenetic traits from cell to cell, (b) meiotic epigenetic inheritance from generation to generation, and (c) true transgenerational inheritance. Such mechanisms have been shown to include incomplete erasure of DNA methylation, parental effects, transmission of distinct RNA types (mRNA, non-coding RNA, miRNA, siRNA, piRNA), and persistence of subsets of histone marks.
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Affiliation(s)
- Marco Trerotola
- Unit of Cancer Pathology, CeSI, Foundation University 'G. d'Annunzio', Chieti, Italy.
| | - Valeria Relli
- Unit of Cancer Pathology, CeSI, Foundation University 'G. d'Annunzio', Chieti, Italy.
| | - Pasquale Simeone
- Unit of Cancer Pathology, CeSI, Foundation University 'G. d'Annunzio', Chieti, Italy.
| | - Saverio Alberti
- Unit of Cancer Pathology, CeSI, Foundation University 'G. d'Annunzio', Chieti, Italy. .,Department of Neuroscience, Imaging and Clinical Sciences, Unit of Physiology and Physiopathology, 'G. d'Annunzio' University, Chieti, Italy.
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16
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Ribero S, Glass D, Aviv A, Spector TD, Bataille V. Height and bone mineral density are associated with naevus count supporting the importance of growth in melanoma susceptibility. PLoS One 2015; 10:e0116863. [PMID: 25612317 PMCID: PMC4303431 DOI: 10.1371/journal.pone.0116863] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Accepted: 12/15/2014] [Indexed: 12/21/2022] Open
Abstract
Naevus count is the strongest risk factor for melanoma. Body Mass Index (BMI) has been linked to melanoma risk. In this study, we investigate the link between naevus count and height, weight and bone mineral density (BMD) in the TwinsUK cohort (N = 2119). In addition we adjusted for leucocyte telomere length (LTL) as LTL is linked to both BMD and naevus count. Naevus count was positively associated with height (p = 0.001) but not with weight (p = 0.187) despite adjusting for age and twin relatedness. This suggests that the previously reported melanoma association with BMI may be explained by height alone. Further adjustment for LTL did not affect the significance of the association between height and naevus count so LTL does not fully explain these results. BMD was associated with naevus count at the spine (coeff 18.9, p = 0.01), hip (coeff = 18.9, p = 0.03) and forearm (coeff = 32.7, p = 0.06) despite adjusting for age, twin relatedness, weight, height and LTL. This large study in healthy individuals shows that growth via height, probably in early life, and bone mass are risk factors for melanoma via increased naevus count. The link between these two phenotypes may possibly be explained by telomere biology, differentiation genes from the neural crests but also other yet unknown factors which may influence both bones and melanocytes biology.
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Affiliation(s)
- Simone Ribero
- Department of Twin Research & Genetic Epidemiology, King's College London, United Kingdom; Section of Dermatology, Departments of Medical Sciences, University of Turin, Turin, Italy
| | - Daniel Glass
- Department of Twin Research & Genetic Epidemiology, King's College London, United Kingdom; Dermatology Department, Northwick Park Hospital, Middlesex, United Kingdom
| | - Abraham Aviv
- Centre of Human Development and Ageing, University of Medicine and Dentistry of New Jersey, Newark, New Jersey, United States of America
| | - Timothy David Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, United Kingdom
| | - Veronique Bataille
- Department of Twin Research & Genetic Epidemiology, King's College London, United Kingdom; Dermatology Department, West Herts NHS Trust, Herts, United Kingdom
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17
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Jiang Y, Marshall RJ, Walpole SC, Prieto-Merino D, Liu DX, Perry JK. An international ecological study of adult height in relation to cancer incidence for 24 anatomical sites. Cancer Causes Control 2015; 26:493-9. [PMID: 25575587 DOI: 10.1007/s10552-014-0520-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2014] [Accepted: 12/22/2014] [Indexed: 12/22/2022]
Abstract
BACKGROUND Anthropometric indices associated with childhood growth and height attained in adulthood, have been associated with an increased incidence of certain malignancies. To evaluate the cancer-height relationship, we carried out a study using international data, comparing various cancer rates with average adult height of women and men in different countries. METHODS An ecological analysis of the relationship between country-specific cancer incidence rates and average adult height was conducted for twenty-four anatomical cancer sites. Age-standardized rates were obtained from GLOBOCAN 2008. Average female (112 countries) and male (65 countries) heights were sourced and compiled primarily from national health surveys. Graphical and weighted regression analysis was conducted, taking into account BMI and controlling for the random effect of global regions. RESULTS A significant positive association between a country's average adult height and the country's overall cancer rate was observed in both men and women. Site-specific cancer incidence for females was positively associated with height for most cancers: lung, kidney, colorectum, bladder, melanoma, brain and nervous system, breast, non-Hodgkin lymphoma, multiple myeloma, corpus uteri, ovary, and leukemia. A significant negative association was observed with cancer of the cervix uteri. In males, site-specific cancer incidence was positively associated with height for cancers of the brain and nervous system, kidney, colorectum, non-Hodgkin lymphoma, multiple myeloma, prostate, testicular, lip and oral cavity, and melanoma. CONCLUSION Incidence of cancer was associated with tallness in the majority of anatomical/cancer sites investigated. The underlying biological mechanisms are unclear, but may include nutrition and early-life exposure to hormones, and may differ by anatomical site.
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Affiliation(s)
- Yannan Jiang
- Department of Statistics, University of Auckland, Auckland, 1023, New Zealand
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18
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He M, Xu M, Zhang B, Liang J, Chen P, Lee JY, Johnson TA, Li H, Yang X, Dai J, Liang L, Gui L, Qi Q, Huang J, Li Y, Adair LS, Aung T, Cai Q, Cheng CY, Cho MC, Cho YS, Chu M, Cui B, Gao YT, Go MJ, Gu D, Gu W, Guo H, Hao Y, Hong J, Hu Z, Hu Y, Huang J, Hwang JY, Ikram MK, Jin G, Kang DH, Khor CC, Kim BJ, Kim HT, Kubo M, Lee J, Lee J, Lee NR, Li R, Li J, Liu J, Longe J, Lu W, Lu X, Miao X, Okada Y, Ong RTH, Qiu G, Seielstad M, Sim X, Song H, Takeuchi F, Tanaka T, Taylor PR, Wang L, Wang W, Wang Y, Wu C, Wu Y, Xiang YB, Yamamoto K, Yang H, Liao M, Yokota M, Young T, Zhang X, Kato N, Wang QK, Zheng W, Hu FB, Lin D, Shen H, Teo YY, Mo Z, Wong TY, Lin X, Mohlke KL, Ning G, Tsunoda T, Han BG, Shu XO, Tai ES, Wu T, Qi L. Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci. Hum Mol Genet 2014; 24:1791-800. [PMID: 25429064 DOI: 10.1093/hmg/ddu583] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Human height is associated with risk of multiple diseases and is profoundly determined by an individual's genetic makeup and shows a high degree of ethnic heterogeneity. Large-scale genome-wide association (GWA) analyses of adult height in Europeans have identified nearly 180 genetic loci. A recent study showed high replicability of results from Europeans-based GWA studies in Asians; however, population-specific loci may exist due to distinct linkage disequilibrium patterns. We carried out a GWA meta-analysis in 93 926 individuals from East Asia. We identified 98 loci, including 17 novel and 81 previously reported loci, associated with height at P < 5 × 10(-8), together explaining 8.89% of phenotypic variance. Among the newly identified variants, 10 are commonly distributed (minor allele frequency, MAF > 5%) in Europeans, with comparable frequencies with in Asians, and 7 single-nucleotide polymorphisms are with low frequency (MAF < 5%) in Europeans. In addition, our data suggest that novel biological pathway such as the protein tyrosine phosphatase family is involved in regulation of height. The findings from this study considerably expand our knowledge of the genetic architecture of human height in Asians.
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Affiliation(s)
- Meian He
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China,
| | - Min Xu
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism and
| | - Ben Zhang
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Jun Liang
- Department of Endocrinology, The Central Hospital of Xuzhou, Affiliated Hospital of Southeast University, Xuzhou, Jiangsu 221009, China
| | - Peng Chen
- Saw Swee Hock School of Public Health
| | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | | | - Huaixing Li
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiaobo Yang
- Institute of Urology and Nephrology, First Affiliated Hospital & Center for Genomic and Personalized Medicine, Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Juncheng Dai
- Department of Epidemiology & Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
| | - Liming Liang
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Lixuan Gui
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China
| | - Qibin Qi
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Jinyan Huang
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Yanping Li
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | | | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 168751
| | - Qiuyin Cai
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Ching-Yu Cheng
- Saw Swee Hock School of Public Health, Department of Ophthalmology, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 168751, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore 169857
| | - Myeong-Chan Cho
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | - Yoon Shin Cho
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | - Minjie Chu
- Department of Epidemiology & Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
| | - Bin Cui
- Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism and
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Min Jin Go
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | - Dongfeng Gu
- State Key Laboratory of Cardiovascular Disease, Department of Evidence Based Medicine, Fuwai Hospital, National Center of Cardiovascular Diseases
| | - Weiqiong Gu
- Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism and
| | - Huan Guo
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China
| | - Yongchen Hao
- State Key Laboratory of Cardiovascular Disease, Department of Evidence Based Medicine, Fuwai Hospital, National Center of Cardiovascular Diseases
| | - Jie Hong
- Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism and
| | - Zhibin Hu
- Department of Epidemiology & Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
| | | | - Jianfeng Huang
- State Key Laboratory of Cardiovascular Disease, Department of Evidence Based Medicine, Fuwai Hospital, National Center of Cardiovascular Diseases
| | - Joo-Yeon Hwang
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | - Mohammad Kamran Ikram
- Saw Swee Hock School of Public Health, Department of Ophthalmology, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 168751, Department of Ophthalmology, Erasmus Medical Center, Rotterdam 3015, The Netherlands, Memory Aging & Cognition Centre, National University Health System, Singapore, Singapore 119228
| | - Guangfu Jin
- Department of Epidemiology & Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
| | - Dae-Hee Kang
- Department of Preventive Medicine, Seoul National University, College of Medicine, Seoul 110-799, Republic of Korea
| | - Chiea Chuen Khor
- Saw Swee Hock School of Public Health, Department of Ophthalmology, Department of Paediatrics National University Health Systems, Agency for Science, Technology and Research, Genome Institute of Singapore, Singapore, Singapore 138672
| | - Bong-Jo Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | - Hung Tae Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | | | | | - Juyoung Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | - Nanette R Lee
- Office of Population Studies Foundation, University of San Carlos, Cebu City 6000, Philippines
| | - Ruoying Li
- Department of Medicine, Yong Loo Lin School of Medicine
| | - Jun Li
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China
| | - JianJun Liu
- Saw Swee Hock School of Public Health, Agency for Science, Technology and Research, Genome Institute of Singapore, Singapore, Singapore 138672
| | - Jirong Longe
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Wei Lu
- Shanghai Municipal Center for Disease Control & Prevention, 1380 Zhong Shan Road (W), Shanghai 200336, China
| | - Xiangfeng Lu
- State Key Laboratory of Cardiovascular Disease, Department of Evidence Based Medicine, Fuwai Hospital, National Center of Cardiovascular Diseases
| | - Xiaoping Miao
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China
| | | | | | - Gaokun Qiu
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China
| | - Mark Seielstad
- Department of Paediatrics National University Health Systems
| | - Xueling Sim
- Saw Swee Hock School of Public Health, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109-2029, USA
| | - Huaidong Song
- State Key Laboratory of Medical Genomics, Molecular Medical Center, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo 162-8655, Japan
| | - Toshihiro Tanaka
- Laboratory for Cardiovascular Diseases, RIKEN Center for Genomic Medicine, Yokohama 230-0045, Japan
| | - Phil R Taylor
- Division of Cancer Epidemiology & Genetics, Genetic Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA
| | - Laiyuan Wang
- State Key Laboratory of Cardiovascular Disease, Department of Evidence Based Medicine, Fuwai Hospital, National Center of Cardiovascular Diseases
| | - Weiqing Wang
- Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism and
| | - Yiqin Wang
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chen Wu
- State Key Laboratory of Molecular Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ken Yamamoto
- Department of Molecular Genetics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Handong Yang
- Department of Cardiology, Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei 442008, China
| | - Ming Liao
- Institute of Urology and Nephrology, First Affiliated Hospital & Center for Genomic and Personalized Medicine
| | - Mitsuhiro Yokota
- Department of Genome Science, Aichi-Gakuin University, School of Dentistry, Nagoya 464-8650, Japan
| | - Terri Young
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore 169857, Duke Eye Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Xiaomin Zhang
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo 162-8655, Japan
| | - Qing K Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Cardio-X Institute, College of Life Science and Technology and Center for Human Genome Research, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Frank B Hu
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Dongxin Lin
- State Key Laboratory of Molecular Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Hongbing Shen
- Department of Epidemiology & Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, NUS Graduate School for Integrative Science and Engineering, Life Sciences Institute, Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore 119077, Agency for Science, Technology and Research, Genome Institute of Singapore, Singapore, Singapore 138672
| | - Zengnan Mo
- Institute of Urology and Nephrology, First Affiliated Hospital & Center for Genomic and Personalized Medicine
| | - Tien Yin Wong
- Department of Ophthalmology, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 168751
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Guang Ning
- Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism and
| | | | - Bok-Ghee Han
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do 363-700, Republic of Korea
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, Department of Medicine, Yong Loo Lin School of Medicine, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore 169857
| | - Tangchun Wu
- MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hubei, Wuhan 430030, China
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
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Height and kidney cancer risk: a meta-analysis of prospective studies. J Cancer Res Clin Oncol 2014; 141:1799-807. [DOI: 10.1007/s00432-014-1870-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 11/02/2014] [Indexed: 02/07/2023]
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Wirén S, Häggström C, Ulmer H, Manjer J, Bjørge T, Nagel G, Johansen D, Hallmans G, Engeland A, Concin H, Jonsson H, Selmer R, Tretli S, Stocks T, Stattin P. Pooled cohort study on height and risk of cancer and cancer death. Cancer Causes Control 2013; 25:151-9. [PMID: 24173535 PMCID: PMC3929024 DOI: 10.1007/s10552-013-0317-7] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Accepted: 10/21/2013] [Indexed: 10/26/2022]
Abstract
PURPOSE To assess the association between height and risk of cancer and cancer death. METHODS The metabolic syndrome and cancer project is a prospective pooled cohort study of 585,928 participants from seven cohorts in Austria, Norway, and Sweden. Hazard ratios (HRs) and 95 % confidence intervals (CIs) for cancer incidence and death were estimated in height categories and per 5-cm increment for each cancer site using Cox proportional hazards model. RESULTS During a mean follow-up of 12.7 years (SD = 7.2), 38,862 participants were diagnosed with cancer and 13,547 participants died of cancer. Increased height (per 5-cm increment) was associated with an increased overall cancer risk in women, HR 1.07 (95 % CI 1.06-1.09), and in men, HR 1.04 (95 % CI 1.03-1.06). The highest HR was seen for malignant melanoma in women, HR 1.17 (95 % CI 1.11-1.24), and in men HR 1.12 (95 % CI 1.08-1.19). Height was also associated with increased risk of cancer death in women, HR 1.03 (95 % CI 1.01-1.16), and in men, HR 1.03 (95 % CI 1.01-1.05). The highest HR was observed for breast cancer death in postmenopausal women (>60 years), HR 1.10 (95 % CI 1.00-1.21), and death from renal cell carcinoma in men, HR 1.18 (95 % CI 1.07-1.30). All these associations were independent of body mass index. CONCLUSION Height was associated with risk of cancer and cancer death indicating that factors related to height such as hormonal and genetic factors stimulate both cancer development and progression.
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Affiliation(s)
- Sara Wirén
- Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, 901 87, Umeå, Sweden,
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