Supplementary material 1 One potential consequence of unreplicated artificial selection experiments is the excess of false positive results. This problem has been addressed in papers by N. D. Henderson [1] [2] and Konarzewski et al. [3] where it is suggested that effect size can be used to identify false positive associations between the selected trait and the secondary correlated trait, where the inbreeding coefficient (F) and the heritability (h2) of the secondary traits were accounted for. Thus, in order to have an indication of whether the observed differentiation in telomere length was caused by genetic drift or could be ascribed to genetic correlations with the trait under selection (tarsus length) we parameterized the models by Henderson [1] in alignment with Konarzewski et al. [3]. This involved estimating the magnitude of the separation in telomere length between 2002 and 2005 as the standard phenotypic deviation (d) according to eqn. 14 in Konarzewski et al. [3] as well as estimating the 95% confidence interval (95% CI) in telomere length resulting from differentiation due to genetic drift and sampling error between 2002 and 2005 (i.e. assuming the genetic correlation between tarsus length and telomere length to be zero) according to eqn. 17 in Konarzewski et al. [3] . In order to obtain a measure of F we used the inbreeding coefficient previously estimated among 5 islands (from our main house sparrow study area at Helgeland ca 170 km further north from Leka) where the level reported from all islands pooled was found to be F = 0.05 [4]. Obtaining a measure of the heritability in telomere length was trickier, as no such estimates have been reported in house sparrow populations, and estimates on narrow sense heritability (h2) in birds are so far few. Some studies has found that telomere length is more related to mothers than fathers using parent – offspring regression, however, such studies does not properly account for environmental effects and the relatedness of individuals. However, Asgahar et al. 2014 [5] applied the ‘animal model’ and found heritability for telomere length to be h2 = 0.35 in great reed warblers (Acrocephalus arundinaceus) in Sweden after accounting for maternal effects. We applied their estimate of heritability to parameterize eqn. 17 in Konarzewski et al. [3], as this estimate (to our knowledge) is the only heritability estimate from which the relatedness among individuals (i.e. pedigree) and the environmental effects are thoroughly accounted for by applying the animal model. Thus we implicitly assumed that the heritability estimate for telomere length in reed warblers may be similar also for other passerines, such as house sparrows. Accordingly, we estimated the magnitude of the separation in telomere length between 2002 and 2005 as the standard phenotypic deviation (d) according to eqn. (14) in Konarzewski et al. [3] and found this to be d = 1.15. We then estimated the 95% confidence interval (95% CI) in telomere length resulting from differentiation due to genetic drift and sampling error between 2002 and 2005 (i.e. assuming the genetic correlation between tarsus length and telomere length to be zero) according to eqn. 17 in Konarzewski et al. [3] and found this to be 95% CI = 0.83. Thus, the magnitude of differentiation (d) is outside the 95 % confidence interval which indicates that the observed differentiation in telomere length is larger then what can be expected by drift alone. Accordingly, this supported the hypothesis that a negative genetic correlation between the trait under selection (tarsus size) caused the observed reduction in telomere length at Leka 2005 compared to 2002. The estimates of d and 95% CI lie typically within the magnitude of other comparable studies, where genetic correlations explain the change in a secondary character in artificial selection experiments (see table 3 in Konarzewski et al. [3] ). Our result is of course only indicative as it is based on the best available estimates of F and h2 and the 95% CI is sensible to variation in h2, which may deviate from the ones in the house sparrow population at Leka. For further discussions see Henderson [1] and Konarzewski et al. [3]. References 1. 2. 3. 4. 5. Henderson N. 1997 Spurious Associations in Unreplicated Selected Lines. Behav Genet 27(2), 145-154. (doi:10.1023/A:1025689425738). Henderson N.D. 1989 Interpreting studies that compare high-selected and low-selected lines on new characters. Behav Genet 19(4), 473-502. (doi:10.1007/bf01066250). Konarzewski M., Książek A., Łapo I.B. 2005 Artificial Selection on Metabolic Rates and Related Traits in Rodents. Integrative and Comparative Biology 45(3), 416-425. (doi:10.1093/icb/45.3.416). Jensen H., Bremset E.M., Ringsby T.H., Sæther B.E. 2007 Multilocus heterozygosity and inbreeding depression in an insular house sparrow metapopulation. Mol Ecol 16(19), 40664078. (doi:10.1111/j.1365-294X.2007.03452.x). Asghar M., Bensch S., Tarka M., Hansson B., Hasselquist D. 2014 Maternal and genetic factors determine early life telomere length. Proceedings of the Royal Society of London B: Biological Sciences 282(1799).