Additional file 2 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study

Research datakeyboard_double_arrow_right Dataset 01 Jan 2022Publisher:FigshareFunded by:NIH | The effects of iron on ox..., NIH | The effects of iron on ox..., EC | PATHAD +2 projects

Authors: Rodríguez-Fernández, Blanca; Vilor-Tejedor, Natalia; Arenaza-Urquijo, Eider M.; Sánchez-Benavides, Gonzalo; Suárez-Calvet, Marc; Operto, Grégory; Minguillón, Carolina; +14 Authors

doi: 10.6084/m9.figshare.21515106 , 10.6084/m9.figshare.21515106.v1

handle: 10261/311588

Additional file 2 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study

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Abstract

Additional file 2: Supplementary Table 1. Linear regression estimates for cognition outcomes in the entire sample. All models are adjusted for covariates: age, sex, education, and APOE status. Supplementary Table 2. Linear regression estimates for neuroimaging outcomes (i.e., Alzheimer’s disease and aging signatures) outcome in the entire sample. All models are adjusted for covariates: age, sex, education, and APOE status. Supplementary Table 3. Linear regression estimates for CSF biomarkers outcomes in the entire sample. All models are adjusted for covariates: age, sex, education, and APOE status. Supplementary Table 4. Linear regression estimates for cognition outcomes in APOE-ɛ4 carriers. All models are adjusted for covariates: age, sex, and education. Supplementary Table 5. Linear regression estimates for neuroimaging outcomes (i.e., Alzheimer’s disease and aging signatures) in APOE-ɛ4 carriers. All models are adjusted for covariates: age, sex, and education. Supplementary Table 6. Linear regression estimates for CSF biomarkers outcomes in APOE-ɛ4 carriers. All models are adjusted for covariates: age, sex, and education. Supplementary Table 7. Linear regression estimates for cognition outcomes in APOE-ɛ4 non-carriers. All models are adjusted for covariates: age, sex, and education. Supplementary Table 8. Linear regression estimates for neuroimaging outcomes (i.e., Alzheimer’s disease and aging signatures) in APOE-ɛ4 non-carriers. All models are adjusted for covariates: age, sex, and education. Supplementary Table 9. Linear regression estimates for CSF biomarkers outcomes in APOE-ɛ4 carriers. All models are adjusted for covariates: age, sex, and education. Supplementary Table 10. Linear regression estimates for cognition outcomes among individuals at high genetic predisposition to AD. All models are adjusted for covariates: age, sex, and education. Supplementary Table 11. Linear regression estimates for neuroimaging outcomes (i.e., Alzheimer’s disease and aging signatures) among individuals at high genetic predisposition to AD. All models are adjusted for covariates: age, sex, and education. Supplementary Table 12. Linear regression estimates for CSF biomarkers outcomes (i.e., Alzheimer’s disease and aging signatures) among individuals at high genetic predisposition to AD. All models are adjusted for covariates: age, sex, and education. Supplementary Table 13. Linear regression estimates for cognition outcomes among individuals at low genetic predisposition to AD. All models are adjusted for covariates: age, sex, and education. Supplementary Table 14. Linear regression estimates for neuroimaging outcomes (i.e., Alzheimer’s disease and aging signatures) among individuals at low genetic predisposition to AD. All models are adjusted for covariates: age, sex, and education. Supplementary Table 15. Linear regression estimates for CSF biomarkers outcomes among individuals at low genetic predisposition to AD. All models are adjusted for covariates: age, sex, and education.

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Related Organizations

Biomedical Research Institute
United States
Helmholtz Association of German Research Centres
Germany
University of Gothenburg
Sweden
German Center for Neurodegenerative Diseases
Germany
Ludwig-Maximilians-Universität München
Germany

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Keywords

Telomere length, Polygenic risk score, Cerebrospinal fluid biomarkers, Mendelian randomization, Neuroimaging, Alzheimer’s disease

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