Table 2.
Summary of the Main Findings from Analyses of EADI1 Study and Combined Analyses of ULSAM and PIVUS Cohorts
| EADI1 | ULSAM+PIVUS | ||
|---|---|---|---|
| Association between LOY and AD without Excluding Men with Cancer | |||
| Unadj. K-S testa | D = 0.07 (p = 0.0198) | D = 0.13 (p = 0.0137) | Figure 3 |
| Adj. logistic regressionb | OR = 2.80 (p = 0.0184) | Table S2B | |
| Adj. ANCOVAc | F = 5.63 (p = 0.0178) | Table S2A | |
| Adj. Cox (cont. mLRRY)d | HR = 6.80 (p = 0.0011) | Table 1 | |
| Adj. Cox (cont. mLRRY)e | HR = 4.16 (p = 0.0085) | Table S3 | |
| Adj. Cox (LOY 1/0 99% CI)d | HR = 1.63 (p = 0.0260) | Figure 4A | |
| Adj. Cox (LOY 1/0 −0.4)d | HR = 2.90 (p = 0.0250) | Figure 4C | |
| Association between LOY and AD after Excluding Men with Cancer | |||
| Unadj. K-S test1 | D = 0.14 (p = 0.0066) | Figure 3 | |
| Adj. Cox (cont. mLRRY)d | HR = 28.41 (p < 0.0001) | Table S6 | |
| Adj. Cox (LOY 1/0 99% CI)d | HR = 2.00 (p = 0.0046) | Figure 4B | |
| Adj. Cox (LOY 1/0 −0.4)d | HR = 5.33 (p = 0.0010) | Figure 4D | |
| Association between LOY and AD among Men 70–75 Years Old | |||
| Adj. Cox (cont. mLRRY)d | HR = 25.82 (p < 0.0001) | Table S10 | |
| Association between LOY and AD among Men 75–80 Years Old | |||
| Adj. Cox (cont. mLRRY)d | HR = 9.92 (p = 0.0489) | Table S11 | |
| Association between LOY and AD in Non-smokers | |||
| Adj. Cox (cont. mLRRY)d | HR = 6.04 (p = 0.0131) | Table S12 | |
| Association between LOY and Cancer without Excluding Men with AD | |||
| Adj. Cox (cont. mLRRY)d | HR = 3.76 (p = 0.022)f | Table S9 | |
| Association between LOY and Cancer after Excluding Men with AD | |||
| Adj. Cox (cont. mLRRY)d | HR = 5.58 (p = 0.0041) | Table S9 | |
The “cont. mLRRY” is the continuous mLRRY estimate (i.e., the median of the log R ratio values of SNP-array probes positioned within the male-specific region of chromosome Y) reflecting the degree of LOY mosaicism in each participant. We also scored participants as 1 or 0 based on their mLRRY value using two different thresholds, i.e., mLRRY < −0.4 and mLRRY < 99% CI, as further described in the text. Abbreviations are as follows: D, the Kolmogorov-Smirnov test statistic; HR, hazard ratio; OR, odds ratio.
Unadj. K-S test = Unadjusted Kolmogorov-Smirnov test.
Logistic regression model using AD status (1/0) as dependent variable and adjusting for the confounders APOE genotype and age at sampling.
ANCOVA model testing the continuous mLRRY estimate as dependent variable and adjusting for the confounders APOE genotype and age at sampling.
Cox hazards regression models testing the effect from the level of LOY in blood and risk for AD diagnosis during follow-up time, after adjusting survival from the 12 confounders summarized in Table S1 (i.e., APOE epsilon 4 genotype, age at sampling, smoking, BMI, diabetes, LDL and HDL cholesterol, hypertension, exercise habits, education level, alcohol consumption, and autosomal aberrations >1 Mb).
Cox hazards regression model testing the effect from level of LOY in blood and risk for AD diagnosis during follow-up time, after adjusting survival only for the significant confounders (Table S3).
The association between LOY and risk for cancer without excluding men with AD has been published.30