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. Author manuscript; available in PMC: 2019 Sep 1.
Published in final edited form as: Biochim Biophys Acta Bioenerg. 2018 Jul 8;1859(9):878–892. doi: 10.1016/j.bbabio.2018.07.002

Table 7.

MtDNA haplogroups are associated with Type 2 Diabetes Mellitus (T2DM), Hypertension (HTN), and Obesity (OB). Five mitochondrial haplogroups (HG), age, and gender were used as effects.

Variable Effects Model p-
value
R2 AICc Lack of Fit p-
value
n Effect Effect p-
value#
FDR

T2DM Age, HG,
gender
<0.0001 0.0402 1317.24 0.5473 1100 Age <0.0001 0.00001
HG <0.0001 0.00012
Gender 0.4912 0.49121
HTN Age, HG,
gender
<0.0001 0.0359 1229.28 0.0278 969 Age <0.0001 0.00000
HG 0.0026 0.00394
Gender 0.0075 0.00753
OB Age, HG,
gender
<0.0001 0.1335 1057.55 0.4180 1085 Age <0.0001 0.00000
HG 0.0562 0.08437
Gender 0.1444 0.14439

R2: The proportion of the total uncertainty that is attributed to the model fit. Because certainty in the predicted probabilities is rare for logistic models, R2 tends to be small.

AICc: Corrected Akaike Information Criterion that assesses model fit based on –2LogLikelihood.

Lack of Fit: Chi-square statistics on the negative log-likelihood error due to lack of fit, error in a saturated model (pure error), and the total error in the fitted model. High p-values denote that the lack of fit Chi-square is not significant and support the conclusion that there is little to be gained by introducing additional variables.

FDR: Benjamini-Hochberg false discovery rate.

Age levels: advanced ≥60, 30 ≤medium < 60, young < 30.

HG levels: D5, F4, N9a, macro-M (D, E, G, M*, M7, M8, M9, M10), and macro-N (A, B, F, R).

#

Likelihood-Ratio test p-value.