Abstract
Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.
Original language | English |
---|---|
Pages (from-to) | 389-404 |
Number of pages | 16 |
Journal | American Journal of Human Genetics |
Volume | 106 |
Issue number | 3 |
DOIs | |
Publication status | Published - 5 Mar 2020 |
Keywords
- Mendelian randomisation
- age-related disease
- biological aging
- telomere length
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In: American Journal of Human Genetics, Vol. 106, No. 3, 05.03.2020, p. 389-404.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length
AU - Li, Chen
AU - Stoma, Svetlana
AU - Lotta, Luca A.
AU - Warner, Sophie
AU - Albrecht, Eva
AU - Allione, Alessandra
AU - Arp, Pascal P.
AU - Broer, Linda
AU - Buxton, Jessica L.
AU - Da Silva Couto Alves, Alexessander
AU - Deelen, Joris
AU - Fedko, Iryna O.
AU - Gordon, Scott D.
AU - Jiang, Tao
AU - Karlsson, Robert
AU - Kerrison, Nicola
AU - Loe, Taylor K.
AU - Mangino, Massimo
AU - Milaneschi, Yuri
AU - Miraglio, Benjamin
AU - Pervjakova, Natalia
AU - Russo, Alessia
AU - Surakka, Ida
AU - van der Spek, Ashley
AU - Verhoeven, Josine E.
AU - Amin, Najaf
AU - Beekman, Marian
AU - Blakemore, Alexandra I.
AU - Canzian, Federico
AU - Hamby, Stephen E.
AU - Hottenga, Jouke Jan
AU - Jones, Peter D.
AU - Jousilahti, Pekka
AU - Mägi, Reedik
AU - Medland, Sarah E.
AU - Montgomery, Grant W.
AU - Nyholt, Dale R.
AU - Perola, Markus
AU - Pietiläinen, Kirsi H.
AU - Salomaa, Veikko
AU - Sillanpää, Elina
AU - Suchiman, H. Eka
AU - van Heemst, Diana
AU - Willemsen, Gonneke
AU - Agudo, Antonio
AU - Boeing, Heiner
AU - Boomsma, Dorret I.
AU - Chirlaque, Maria Dolores
AU - Fagherazzi, Guy
AU - Ferrari, Pietro
AU - Franks, Paul
AU - Gieger, Christian
AU - Eriksson, Johan Gunnar
AU - Gunter, Marc
AU - Hägg, Sara
AU - Hovatta, Iiris
AU - Imaz, Liher
AU - Kaprio, Jaakko
AU - Kaaks, Rudolf
AU - Key, Timothy
AU - Krogh, Vittorio
AU - Martin, Nicholas G.
AU - Melander, Olle
AU - Metspalu, Andres
AU - Moreno, Concha
AU - Onland-Moret, N. Charlotte
AU - Nilsson, Peter
AU - Ong, Ken K.
AU - Overvad, Kim
AU - Palli, Domenico
AU - Panico, Salvatore
AU - Pedersen, Nancy L.
AU - Penninx, Brenda W.J.H.
AU - Quirós, J. Ramón
AU - Jarvelin, Marjo Riitta
AU - Rodríguez-Barranco, Miguel
AU - Scott, Robert A.
AU - Severi, Gianluca
AU - Slagboom, P. Eline
AU - Spector, Tim D.
AU - Tjonneland, Anne
AU - Trichopoulou, Antonia
AU - Tumino, Rosario
AU - Uitterlinden, André G.
AU - van der Schouw, Yvonne T.
AU - van Duijn, Cornelia M.
AU - Weiderpass, Elisabete
AU - Denchi, Eros Lazzerini
AU - Matullo, Giuseppe
AU - Butterworth, Adam S.
AU - Danesh, John
AU - Samani, Nilesh J.
AU - Wareham, Nicholas J.
AU - Nelson, Christopher P.
AU - Langenberg, Claudia
AU - Codd, Veryan
N1 - Funding Information: The ENGAGE Project was funded under the European Union Framework 7—Health Theme ( HEALTH-F4-2007- 201413 ). The InterAct project received funding from the European Union (Integrated Project LSHM-CT-2006-037197 in the Framework Programme 6 of the European Community ). The EPIC-CVD study was supported by core funding from the UK Medical Research Council ( MR/L003120/1 ), the British Heart Foundation ( RG/13/13/30194 ; RG/18/13/33946 ), the European Commission Framework Programme 7 ( HEALTH-F2-2012-279233 ), and the National Institute for Health Research ( Cambridge Biomedical Research Centre at the Cambridge University Hospitals National Health Service (NHS) Foundation Trust )[*]. C.P.N is funded by the British Heart Foundation (BHF). V.C., C.P.N., and N.J.S. are supported by the National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Centre and N.J.S. holds an NIHR Senior Investigator award. Chen Li is support by a four-year Wellcome Trust PhD Studentship; C.L., L.A.L., and N.J.W. are funded by the Medical Research Council ( MC_UU_12015/1 ). N.J.W. is an NIHR Senior Investigator. J.D. is funded by the NIHR (Senior Investigator Award).[*]. *The views expressed are those of the authors and not necessarily those of the NHS , the NIHR , or the Department of Health and Social Care. Cohort-specific and further acknowledgments are given in the Supplemental Information . Funding Information: J.D. reports personal fees and non-financial support from Merck Sharpe and Dohme UK Atherosclerosis; personal fees and non-financial support from Novartis Cardiovascular and Metabolic Advisory Board; personal fees and non-financial support from Pfizer Population Research Advisory Panel; and grants from the British Heart Foundation, the European Research Council, Merck, the NIHR, NHS Blood and Transplant, Novartis, Pfizer, the UK Medical Research Council, Health Data Research UK, and the Wellcome Trust outside the submitted work. Funding Information: The ENGAGE Project was funded under the European Union Framework 7?Health Theme (HEALTH-F4-2007- 201413). The InterAct project received funding from the European Union (Integrated Project LSHM-CT-2006-037197 in the Framework Programme 6 of the European Community). The EPIC-CVD study was supported by core funding from the UK Medical Research Council (MR/L003120/1), the British Heart Foundation (RG/13/13/30194; RG/18/13/33946), the European Commission Framework Programme 7 (HEALTH-F2-2012-279233), and the National Institute for Health Research (Cambridge Biomedical Research Centre at the Cambridge University Hospitals National Health Service (NHS) Foundation Trust)[*]. C.P.N is funded by the British Heart Foundation (BHF). V.C. C.P.N. and N.J.S. are supported by the National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Centre and N.J.S. holds an NIHR Senior Investigator award. Chen Li is support by a four-year Wellcome Trust PhD Studentship; C.L. L.A.L. and N.J.W. are funded by the Medical Research Council (MC_UU_12015/1). N.J.W. is an NIHR Senior Investigator. J.D. is funded by the NIHR (Senior Investigator Award).[*]. *The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care. Cohort-specific and further acknowledgments are given in the Supplemental Information. Publisher Copyright: © 2020 The Author(s)
PY - 2020/3/5
Y1 - 2020/3/5
N2 - Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.
AB - Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.
KW - Mendelian randomisation
KW - age-related disease
KW - biological aging
KW - telomere length
UR - http://www.scopus.com/inward/record.url?scp=85080107195&partnerID=8YFLogxK
U2 - 10.1016/j.ajhg.2020.02.006
DO - 10.1016/j.ajhg.2020.02.006
M3 - Article
C2 - 32109421
AN - SCOPUS:85080107195
SN - 0002-9297
VL - 106
SP - 389
EP - 404
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
IS - 3
ER -