BACKGROUND: Telomere length is associated with a large range of human diseases. Genome-wide association studies (GWAS) have identified genetic variants that are associated with leucocyte telomere length (LTL). However, these studies are limited to adult populations. Nevertheless, childhood is a crucial period for the determination of LTL, and the assessment of age-specific genetic determinants, although neglected, could be of great importance. Our aim was to provide insights and preliminary results on genetic determinants of LTL in children. METHODS: Healthy children (n = 322, age range = 6.75-17 years) with available GWAS data (Illumina Human CNV370-Duo array) were included. The LTL was measured using multiplex quantitative real-time polymerase chain reaction. Linear regression models adjusted for age, gender, parental age at child's birth, and body mass index were used to test the associations of LTL with polymorphisms identified in adult GWAS and to perform a discovery-only GWAS. RESULTS: The previously GWAS-identified variants in adults were not associated with LTL in our paediatric sample. This lack of association was not due to possible interactions with age or gene × gene interactions. Furthermore, a discovery-only GWAS approach demonstrated six novel variants that reached the level of suggestive association (P ≤ 5 × 10(-5)) and explain a high percentage of children's LTL. CONCLUSIONS: The study of genetic determinants of LTL in children may identify novel variants not previously identified in adults. Studies in large-scale children populations are needed for the confirmation of these results, possibly through a childhood consortium that could better handle the methodological challenges of LTL genetic epidemiology field.
BACKGROUND: Telomere length is associated with a large range of human diseases. Genome-wide association studies (GWAS) have identified genetic variants that are associated with leucocyte telomere length (LTL). However, these studies are limited to adult populations. Nevertheless, childhood is a crucial period for the determination of LTL, and the assessment of age-specific genetic determinants, although neglected, could be of great importance. Our aim was to provide insights and preliminary results on genetic determinants of LTL in children. METHODS: Healthy children (n = 322, age range = 6.75-17 years) with available GWAS data (Illumina Human CNV370-Duo array) were included. The LTL was measured using multiplex quantitative real-time polymerase chain reaction. Linear regression models adjusted for age, gender, parental age at child's birth, and body mass index were used to test the associations of LTL with polymorphisms identified in adult GWAS and to perform a discovery-only GWAS. RESULTS: The previously GWAS-identified variants in adults were not associated with LTL in our paediatric sample. This lack of association was not due to possible interactions with age or gene × gene interactions. Furthermore, a discovery-only GWAS approach demonstrated six novel variants that reached the level of suggestive association (P ≤ 5 × 10(-5)) and explain a high percentage of children's LTL. CONCLUSIONS: The study of genetic determinants of LTL in children may identify novel variants not previously identified in adults. Studies in large-scale children populations are needed for the confirmation of these results, possibly through a childhood consortium that could better handle the methodological challenges of LTL genetic epidemiology field.
Authors: Andrew M Zeiger; Marquitta J White; Celeste Eng; Sam S Oh; Jonathan Witonsky; Pagé C Goddard; Maria G Contreras; Jennifer R Elhawary; Donglei Hu; Angel C Y Mak; Eunice Y Lee; Kevin L Keys; Lesly-Anne Samedy; Oona Risse-Adams; Joaquín Magaña; Scott Huntsman; Sandra Salazar; Adam Davis; Kelley Meade; Emerita Brigino-Buenaventura; Michael A LeNoir; Harold J Farber; Kirsten Bibbins-Domingo; Luisa N Borrell; Esteban G Burchard Journal: Sci Rep Date: 2018-09-05 Impact factor: 4.379
Authors: Chenan Zhang; Quinn T Ostrom; Eleanor C Semmes; Vijay Ramaswamy; Helen M Hansen; Libby Morimoto; Adam J de Smith; Melike Pekmezci; Zalman Vaksman; Hakon Hakonarson; Sharon J Diskin; Catherine Metayer; Michael D Taylor; Joseph L Wiemels; Melissa L Bondy; Kyle M Walsh Journal: Acta Neuropathol Commun Date: 2020-10-28 Impact factor: 7.578