No Association between TERT-CLPTM1L Single Nucleotide Polymorphism rs401681 and Mean Telomere Length or Cancer Risk

Karen A. Pooley; Jonathan Tyrer; Mitul Shah; Kristy E. Driver; Jean Leyland; Judith Brown; Tina Audley; Lesley McGuffog; Bruce A.J. Ponder; Paul D.P. Pharoah; Douglas F. Easton; Alison M. Dunning

doi:10.1158/1055-9965.EPI-10-0281

DOI: 10.1158/1055-9965.EPI-10-0281 Published July 2010

Article Figures & Data

Tables

Table 1.

TERT SNP genotype and mean telomere length

TERT rs401681	δΔCt (95% CI)
	Breast cancer (6,434 controls)	Melanoma (979 controls)	SIBS (1,655 controls)	Colorectal cancer (2,246 controls)	Combined (11,314 controls)
CC	0.00 reference	0.00 reference	0.00 reference	0.00 reference	0.00 reference
CT	−0.002 (−0.02 to 0.02)	0.06 (0.003-0.1)	−0.002 (−0.04 to 0.04)	0.01 (−0.02 to 0.05)	0.02 (−0.005 to 0.04)
TT	−0.02 (−0.03 to 0.02)	0.03 (−0.05 to 0.1)	0.03 (−0.02 to 0.08)	0.004 (−0.04 to 0.05)	0.04 (−0.03 to 0.04)
Per T allele	P trend = 0.86	P trend = 0.38	P trend = 0.29	P trend = 0.78	P trend = 0.61

NOTE: Genotype frequencies and mean telomere length, as represented by the continuous ΔCt variable, were analyzed in control samples using linear regression for the “per T allele” change in mean telomere length (δΔCt), with associated 95% CI. Analyses were adjusted for 384-well plate and age in all the studies, and for gender and family where applicable.

Table 2.

TERT SNP genotype and cancer risk

TERT rs401681	OR (95% CI), P-het
	Breast cancer (6,800 cases, 6,608 controls)	Colorectal cancer (2,259 cases, 2,246 controls)	Melanoma (782 cases, 999 controls)
CC	1.00 reference	1.00 reference	1.00 reference
CT	1.02 (0.94-1.10), 0.49	1.09 (0.96-1.25), 0.19	1.01 (0.79-1.29), 0.95
TT	1.01 (0.92-1.12), 0.70	1.02 (0.86-1.21), 0.80	0.98 (0.70-1.37), 0.90
Per T allele	1.01 (0.96-1.06)	1.02 (0.94-1.11)	0.99 (0.84-1.17)
	P trend = 0.64	P trend = 0.66	P trend = 0.91

NOTE: Genotype frequencies in cases and controls were compared using a 2 df χ² test for heterogeneity (P-het) and a 1 df Cochran-Armitage χ² test for trend in risk by T allele dose (P trend). Genotype-specific risks were estimated as ORs with associated 95% CI using unconditional logistic regression. For each study, the deviation of genotype distribution in controls from Hardy-Weinberg equilibrium was assessed by a χ² test with 1 df (data not shown).