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. 2017 May 1;3(5):636-651.
doi: 10.1001/jamaoncol.2016.5945.

Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study

Telomeres Mendelian Randomization CollaborationPhilip C Haycock  1 Stephen Burgess  2 Aayah Nounu  1 Jie Zheng  1 George N Okoli  3 Jack Bowden  1 Kaitlin Hazel Wade  1 Nicholas J Timpson  1 David M Evans  4 Peter Willeit  5 Abraham Aviv  6 Tom R Gaunt  1 Gibran Hemani  1 Massimo Mangino  7 Hayley Patricia Ellis  8 Kathreena M Kurian  8 Karen A Pooley  9 Rosalind A Eeles  10 Jeffrey E Lee  11 Shenying Fang  11 Wei V Chen  12 Matthew H Law  13 Lisa M Bowdler  14 Mark M Iles  15 Qiong Yang  16 Bradford B Worrall  17 Hugh Stephen Markus  18 Rayjean J Hung  19 Chris I Amos  20 Amanda B Spurdle  21 Deborah J Thompson  9 Tracy A O'Mara  21 Brian Wolpin  22 Laufey Amundadottir  23 Rachael Stolzenberg-Solomon  24 Antonia Trichopoulou  25 N Charlotte Onland-Moret  26 Eiliv Lund  27 Eric J Duell  28 Federico Canzian  29 Gianluca Severi  30 Kim Overvad  31 Marc J Gunter  32 Rosario Tumino  33 Ulrika Svenson  34 Andre van Rij  35 Annette F Baas  36 Matthew J Bown  37 Nilesh J Samani  37 Femke N G van t'Hof  38 Gerard Tromp  39 Gregory T Jones  35 Helena Kuivaniemi  39 James R Elmore  40 Mattias Johansson  41 James Mckay  42 Ghislaine Scelo  41 Robert Carreras-Torres  41 Valerie Gaborieau  41 Paul Brennan  41 Paige M Bracci  43 Rachel E Neale  14 Sara H Olson  44 Steven Gallinger  45 Donghui Li  46 Gloria M Petersen  47 Harvey A Risch  48 Alison P Klein  49 Jiali Han  50 Christian C Abnet  51 Neal D Freedman  51 Philip R Taylor  51 John M Maris  52 Katja K Aben  53 Lambertus A Kiemeney  54 Sita H Vermeulen  54 John K Wiencke  55 Kyle M Walsh  55 Margaret Wrensch  55 Terri Rice  56 Clare Turnbull  57 Kevin Litchfield  58 Lavinia Paternoster  1 Marie Standl  59 Gonçalo R Abecasis  60 John Paul SanGiovanni  61 Yong Li  62 Vladan Mijatovic  63 Yadav Sapkota  14 Siew-Kee Low  64 Krina T Zondervan  65 Grant W Montgomery  14 Dale R Nyholt  66 David A van Heel  67 Karen Hunt  67 Dan E Arking  68 Foram N Ashar  68 Nona Sotoodehnia  69 Daniel Woo  70 Jonathan Rosand  71 Mary E Comeau  72 W Mark Brown  72 Edwin K Silverman  73 John E Hokanson  74 Michael H Cho  73 Jennie Hui  75 Manuel A Ferreira  14 Philip J Thompson  76 Alanna C Morrison  77 Janine F Felix  78 Nicholas L Smith  79 Angela M Christiano  80 Lynn Petukhova  81 Regina C Betz  82 Xing Fan  83 Xuejun Zhang  83 Caihong Zhu  83 Carl D Langefeld  72 Susan D Thompson  84 Feijie Wang  85 Xu Lin  85 David A Schwartz  86 Tasha Fingerlin  87 Jerome I Rotter  88 Mary Frances Cotch  89 Richard A Jensen  90 Matthias Munz  91 Henrik Dommisch  92 Arne S Schaefer  92 Fang Han  93 Hanna M Ollila  94 Ryan P Hillary  94 Omar Albagha  95 Stuart H Ralston  96 Chenjie Zeng  97 Wei Zheng  97 Xiao-Ou Shu  97 Andre Reis  98 Steffen Uebe  98 Ulrike Hüffmeier  98 Yoshiya Kawamura  99 Takeshi Otowa  100 Tsukasa Sasaki  101 Martin Lloyd Hibberd  102 Sonia Davila  103 Gang Xie  104 Katherine Siminovitch  104 Jin-Xin Bei  105 Yi-Xin Zeng  106 Asta Försti  107 Bowang Chen  108 Stefano Landi  109 Andre Franke  110 Annegret Fischer  111 David Ellinghaus  112 Carlos Flores  113 Imre Noth  114 Shwu-Fan Ma  114 Jia Nee Foo  115 Jianjun Liu  115 Jong-Won Kim  116 David G Cox  117 Olivier Delattre  118 Olivier Mirabeau  118 Christine F Skibola  119 Clara S Tang  120 Merce Garcia-Barcelo  120 Kai-Ping Chang  121 Wen-Hui Su  122 Yu-Sun Chang  123 Nicholas G Martin  14 Scott Gordon  14 Tracey D Wade  124 Chaeyoung Lee  125 Michiaki Kubo  126 Pei-Chieng Cha  127 Yusuke Nakamura  128 Daniel Levy  129 Masayuki Kimura  6 Shih-Jen Hwang  129 Steven Hunt  130 Tim Spector  131 Nicole Soranzo  132 Ani W Manichaikul  133 R Graham Barr  134 Bratati Kahali  135 Elizabeth Speliotes  135 Laura M Yerges-Armstrong  136 Ching-Yu Cheng  137 Jost B Jonas  138 Tien Yin Wong  137 Isabella Fogh  139 Kuang Lin  139 John F Powell  139 Kenneth Rice  140 Caroline L Relton  1 Richard M Martin  141 George Davey Smith  1
Affiliations

Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study

Telomeres Mendelian Randomization Collaboration et al. JAMA Oncol. .

Abstract

Importance: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation.

Objective: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases.

Data sources: Genomewide association studies (GWAS) published up to January 15, 2015.

Study selection: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available.

Data extraction and synthesis: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population.

Main outcomes and measures: Odds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation.

Results: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95% CI, 0.05-0.15]).

Conclusions and relevance: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Yerges-Armstrong is a current employee stock-owner at GlaxoSmithKline though the current work was completed while an employee of University of Maryland Baltimore. Dr Worrall is a deputy editorship for the journal Neurology and has received National Institutes of Health funding for sample genotyping. Dr Silverman has received honoraria from Novartis for Continuing Medical Education Seminars and grant and travel support from GlaxoSmithKline. Helena Kuivaniemi has received funding from the National Institutes of Health National Heart, Lung, and Blood Institute (HL064310, HL044682), the Pennsylvania Commonwealth Universal Research Enhancement program, the Geisinger Clinical Research Fund, the American Heart Association, the Ben Franklin Technology Development Fund of Pennsylvania, and the National Institutes of Health for sample genotyping (U01HG006382). Dr Eeles has received honoraria from the Genitourinary Cancers Symposium organised by American Society of Clinical Oncology. Dr Rotter has received funding from the National Institutes of Health (R01 HL105756), the National Center for Advancing Translational Sciences, CTSI grant UL1TR001881, and the National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center grant DK063491 to the Southern California Diabetes Research Center. No other conflicts reported.

Figures

Figure 1
Figure 1. The Association Between Genetically Increased Telomere Length and Odds of Primary Noncommunicable Diseases
COPD indicates chronic obstructive pulmonary disease; ER, estrogen receptor; LMP, low malignancy potential; NA, not applicable; SNP, single-nucleotide polymorphism. a P value for association between genetically increased telomere length and disease from maximum likelihood. b P value for heterogeneity among SNPs within the instrument. c The effect estimate for heart failure is a hazard ratio (all others are odds ratios).
Figure 2
Figure 2. Comparison of the Present Mendelian Randomization (MR) Study and Prospective Observational Studies of the Association Between Telomere Length and Disease
Search strategy and characteristics for observational studies are described in eTables 3 and 4 in Supplement 1. a From fixed-effects meta-analysis of independent observational studies described in eTable 3 in Supplement 1. b From the combination of Copenhagen City Heart Study (CCHS) and Copenhagen General Population Study (CGPS). c From the combination of Prostate, Lung, Colorectal, and Ovarian (PLCO), Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study (ATBC), and Shanghai Women's Health Study (SWHS).
Figure 3
Figure 3. The Association Between Genetically Increased Telomere Length and Odds of Cancer as a Function of Selected Characteristics
A-D, The plotted data show how the strength of the relationship between genetically increased telomere length and cancer varies by the selected characteristic: the R2 statistic indicates how much of the variation between cancers can be explained by the selected characteristic; P values are from meta-regression models; circle sizes are proportional to the inverse of the variance of the log OR. A, Data for average lifetime number of stem cell divisions were downloaded from Tomasetti and Vogelstein. B-D, Data for percentage survival 5 years after diagnosis, cancer incidence and median age at diagnosis were downloaded from the Surveillance, Epidemiology, and End Results Program. Not all cancers had information available for the selected characteristics (hence the number of cancers varies across the subplots). Information was available for 9 cancers for tissue-specific rates of stem cell division, 13 cancers for percentage surviving 5 years after diagnosis, 17 cancers for cancer incidence, and 13 cancers for median age at diagnosis. OR indicates odds ratio; SD, standard deviation.

Comment in

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