Primary comparison: carrier vs non-carrier
Continuous phenotypes are compared with the Wilcoxon rank-sum test, categorical phenotypes with Fisher’s exact test.
Missing values are preserved, not imputed. Each test uses
pairwise deletion, for a given phenotype, records missing that value are
dropped for that test only , so the effective sample size varies by
phenotype (the n= in each row of the table). No imputation
is applied in this primary comparison; imputation is reserved for a
separate sensitivity analysis.
The phenotypes tested carry very different amounts of missingness, which sets which are imputation candidates:
| Missingness of tested phenotypes (analysis set) | |||
| Phenotype | Missing % | Carrier n | Tier |
|---|---|---|---|
| MNSI score | 69.2 | 11 | High (≥40%) — describe only |
| HbA1c (mmol/mol) | 53.2 | 11 | High (≥40%) — describe only |
| BPI average | 52.2 | 14 | High (≥40%) — describe only |
| Diabetes type | 41.5 | 14 | High (≥40%) — describe only |
| TCSS (Toronto) | 38.9 | 14 | Impute candidate (5–40%) |
| DN4 score | 35.0 | 14 | Impute candidate (5–40%) |
| BMI (kg/m²) | 21.0 | 15 | Impute candidate (5–40%) |
| Pain intensity | 9.9 | 15 | Impute candidate (5–40%) |
| Age (years) | 0.2 | 15 | Near-complete (<5%) |
| Sex | 0.2 | 15 | Near-complete (<5%) |
| NPalgo grade | 0.2 | 15 | Near-complete (<5%) |
| Pain status | 0.0 | 15 | Near-complete (<5%) |
| m.C2639T carrier vs non-carrier — all phenotypes | |||||
| Variable | Type | Carrier | Non-carrier | Effect (95% CI)1 | p |
|---|---|---|---|---|---|
| Age (years) | Continuous — median (IQR) | n=15 · 66.0 (58.0–69.5) | n=2407 · 64.0 (54.0–72.0) | Δ 0.0 (-5.0, 6.0) | 0.880 |
| BMI (kg/m²) | Continuous — median (IQR) | n=15 · 29.4 (26.5–33.1) | n=1902 · 27.8 (24.5–31.8) | Δ 1.6 (-1.1, 4.4) | 0.237 |
| HbA1c (mmol/mol) | Continuous — median (IQR) | n=11 · 54.0 (48.0–66.5) | n=1126 · 56.0 (48.0–68.0) | Δ -1.0 (-9.0, 7.0) | 0.859 |
| DN4 score | Continuous — median (IQR) | n=14 · 4.0 (3.0–5.8) | n=1564 · 5.0 (3.0–6.0) | Δ -1.0 (-2.0, 1.0) | 0.330 |
| BPI average | Continuous — median (IQR) | n=14 · 3.0 (1.0–4.5) | n=1147 · 4.0 (2.0–6.0) | Δ -1.0 (-3.0, 0.0) | 0.066 |
| TCSS (Toronto) | Continuous — median (IQR) | n=14 · 8.5 (7.2–12.0) | n=1469 · 10.0 (7.0–13.0) | Δ -1.0 (-3.0, 2.0) | 0.540 |
| MNSI score | Continuous — median (IQR) | n=11 · 5.0 (4.0–7.0) | n=738 · 5.0 (3.0–7.0) | Δ 0.0 (-1.0, 2.0) | 0.839 |
| Pain intensity | Continuous — median (IQR) | n=15 · 2.0 (0.0–4.0) | n=2172 · 3.0 (0.0–5.0) | Δ -0.0 (-2.0, 1.0) | 0.637 |
| Sex | Categorical — Fisher | n=15 | n=2408 | OR 0.42 (0.08, 1.57) | 0.192 |
| Diabetes type | Categorical — Fisher | n=14 | n=1406 | OR 0.00 (0.00, 2.74) | 0.385 |
| Pain status | Categorical — Fisher | n=15 | n=2413 | OR 1.16 (0.34, 5.03) | 1.000 |
| NPalgo grade | Categorical — Fisher | n=15 | n=2408 | — | 0.183 |
| 1 Δ = Hodges–Lehmann median difference (carrier − non-carrier); OR from 2×2 Fisher. '—' where no single effect size is defined (multi-level). | |||||
Forest plot with CI also include here as the small sample size we have.