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. 2020 Jul 15;6(1):e12027. doi: 10.1002/trc2.12027

TABLE 2.

Genomic features for cognitive frailty Model I and Model II

Model I Gene SNP‐associated allele Chromosome xgboost rank importance β SE P‐value
CD33 rs3865444_A 19 0.0036 0.62 0.28 .03
ACOT11 /LOC105378734 rs12752888_C 1 0.0035 ‐0.47 0.18 <.01
MTRR rs1801394_G 5 0.0029 0.80 0.23 <.01
DAB1 rs1539053_A 1 0.0017 0.50 0.20 .01
MMP3 rs948399_C 11 0.0011 0.41 0.17 .01
Model II
APOE rs429358_C 19 0.0042 ‐0.59 0.23 .01
ACOT11 / LOC105378734 rs12752888_C 1 0.0024 ‐0.37 0.15 .01
TOMM40 rs8106922_G 19 0.0011 ‐0.31 0.16 .05
SLCO1B1 rs4363657_C 12 0.0008 0.38 0.16 .02
MMP3 rs948399_C 11 0.0003 0.29 0.15 .05

Notes: Statistically significant genes are shown in association with cognitive frailty compared to healthy adults Models I and II use Mini‐Mental State Examination (MMSE) and Trail Making Tests (TMT) parameters, respectively, to define cognitive frailty. Bold text indicates the closest gene to an intergenic single nucleotide polymorphism (SNP). The xgboost rank importance: xgboost ranks each SNP by level of importance based on its contribution to the model. Beta coefficients, standard error (SE), and P‐values for each SNP were derived from subsequent logistic regression analysis after xgboost ranking.