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. 2017 Apr 19;16(4):716–725. doi: 10.1111/acel.12598

Table 2.

Overlap with previous studies in aging/longevity transcriptomics

Hong Harries Passtoors Akker Peters
Study year 2008 2011 2012 2014 2015
Overlap 100% 100% 98% 65% 73%
Overlap P‐value 3.2 × 10−14 3.8 × 10−51 6.9 × 10−154 <1.0 × 10−300 a <1.0 × 10−300 a
SRCC 0.73 0.62 0.60 0.44 0.61
Shared genes in top 10 FCGBP
LRRN3b
NRCAM
PDGFRB
ABLIM1
CCR7
CD248
FAM102A
LRRN3b
NELL2
ABLIM1
CAMK4
CD248
LRRN3b
NOG
LRRN3b
NELL2
ABLIM1
CD248
FAM102A
LRRN3b
NELL2

The following publications were used to generate this table: Hong (Hong et al., 2008), Harries (Harries et al., 2011), Passtoors (Passtoors et al., 2012), Akker (Van den Akker et al., 2014), and Peters (Peters et al., 2015). The overlap was calculated based on how many identified genes were significantly regulated and concordant in their regulation direction. Spearman rank correlation coefficient (SRCC) was calculated using all genes identified in the corresponding study. Shared genes in top 10 describes which genes were found in both studies to be among the top 10 most significantly regulated transcripts, ranked by false discovery rate (Van den Akker) or by P‐value (all others).

a

Fisher's exact test P‐value could not be calculated (P < 1.0 × 10−300).

b

LRRN3 (Leucine Rich Repeat Neuronal 3) was identified as the most significantly regulated gene by all studies including the present one.