Homogenizing estimates of heritability among SOLAR-eclipse, OpenMX, APACE, and FPHI software packages in neuroimaging data
| العنوان: | Homogenizing estimates of heritability among SOLAR-eclipse, OpenMX, APACE, and FPHI software packages in neuroimaging data |
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| المؤلفون: | Binish Patel, R.M. Brouwer, Habib Ganjgahi, Neda Jahanshad, Thomas E. Nichols, Meghann C. Ryan, Greig I. de Zubicaray, Margaret J. Wright, Nicholas G. Martin, Anouk den Braber, Bhim M. Adhikari, Dennis van 't Ent, Hilleke E. Hulshoff Pol, Dorret I. Boomsma, Xu Chen, Peter Kochunov, Brian Donohue, L. Elliot Hong, Katie L. McMahon, Paul M. Thompson, Eco J. C. de Geus |
| المساهمون: | Neurology, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, RS: FPN MaCSBio, Audition, RS: FPN CN 2 |
| المصدر: | Frontiers in Neuroinformatics, 13:16. Frontiers Media S.A. Kochunov, P, Patel, B, Ganjgahi, H, Donohue, B, Ryan, M, Hong, E L, Chen, X, Adhikari, B, Jahanshad, N, Thompson, P M, van’t Ent, D, den Braber, A, de Geus, E J C, Brouwer, R M, Boomsma, D I, Hulshoff Pol, H E, de Zubicaray, G I, McMahon, K L, Martin, N G, Wright, M J & Nichols, T E 2019, ' Homogenizing estimates of heritability among SOLAR-eclipse, OpenMX, APACE, and FPHI software packages in neuroimaging data ', Frontiers in Neuroinformatics, vol. 13, 16 . https://doi.org/10.3389/fninf.2019.00016Test Frontiers in Neuroinformatics, 13(March):16, 1-11. Frontiers Media S.A. Kochunov, P, Patel, B, Ganjgahi, H, Donohue, B, Ryan, M, Hong, E L, Chen, X, Adhikari, B, Jahanshad, N, Thompson, P M, Van’t Ent, D, den Braber, A, de Geus, E J C, Brouwer, R M, Boomsma, D I, Hulshoff Pol, H E, de Zubicaray, G I, McMahon, K L, Martin, N G, Wright, M J & Nichols, T E 2019, ' Homogenizing estimates of heritability among SOLAR-eclipse, OpenMX, APACE, and FPHI software packages in neuroimaging data ', Frontiers in Neuroinformatics, vol. 13, no. March, 16, pp. 1-11 . https://doi.org/10.3389/fninf.2019.00016Test Frontiers in Neuroinformatics [E], 13. Frontiers Research Foundation Frontiers in Neuroinformatics, Vol 13 (2019) Frontiers in Neuroinformatics |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Netherlands Twin Register (NTR), Imaging genetics, population, FRACTIONAL ANISOTROPY, heritability, Inverse Gaussian distribution, computational methods, 0302 clinical medicine, reproducability, Statistics, SCHIZOPHRENIA, Computational methods, genetics, BRAIN, Original Research, Mathematics, education.field_of_study, Human Connectome Project, 05 social sciences, Regression, Computer Science Applications, ALZHEIMERS-DISEASE, PROCESSING SPEED, DTI, symbols, imaging genetics, Reproducability, HUMAN CONNECTOME PROJECT, Population, Neuroscience (miscellaneous), Biomedical Engineering, 050105 experimental psychology, lcsh:RC321-571, Heritability, 03 medical and health sciences, symbols.namesake, Covariate, Journal Article, Genetics, 0501 psychology and cognitive sciences, education, LONGITUDINAL TWIN, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, reproducibility, OpenMx, WHITE-MATTER INTEGRITY, MONOZYGOTIC TWINS DISCORDANT, 030217 neurology & neurosurgery, Neuroscience |
| الوصف: | Imaging genetic analyses use heritability calculations to measure the fraction of phenotypic variance attributable to additive genetic factors. We tested the agreement between heritability estimates provided by four methods that are used for heritability estimates in neuroimaging traits. SOLAR-Eclipse and OpenMx use iterative maximum likelihood estimation (MLE) methods. Accelerated Permutation inference for ACE (APACE) and fast permutation heritability inference (FPHI), employ fast, non-iterative approximation-based methods. We performed this evaluation in a simulated twin-sibling pedigree and phenotypes and in diffusion tensor imaging (DTI) data from three twin-sibling cohorts, the human connectome project (HCP), netherlands twin register (NTR) and BrainSCALE projects provided as a part of the enhancing neuro imaging genetics analysis (ENIGMA) consortium. We observed that heritability estimate may differ depending on the underlying method and dataset. The heritability estimates from the two MLE approaches provided excellent agreement in both simulated and imaging data. The heritability estimates for two approximation approaches showed reduced heritability estimates in datasets with deviations from data normality. We propose a data homogenization approach (implemented in solar-eclipse; www.solar-eclipse-genetics.org) to improve the convergence of heritability estimates across different methods. The homogenization steps include consistent regression of any nuisance covariates and enforcing normality on the trait data using inverse Gaussian transformation. Under these conditions, the heritability estimates for simulated and DTI phenotypes produced converging heritability estimates regardless of the method. Thus, using these simple suggestions may help new heritability studies to provide outcomes that are comparable regardless of software package. |
| وصف الملف: | image/pdf |
| اللغة: | English |
| تدمد: | 1662-5196 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ba552e87bce2098f7c64686b419d912Test https://research.vumc.nl/en/publications/40d10f79-016d-4158-baa1-90a7287f84a0Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....6ba552e87bce2098f7c64686b419d912 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 16625196 |
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