Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
Xiaoqian WangHeng Huang

Abstract

With the rapid development of high-throughput genotyping and neuroimaging techniques, imaging genetics has drawn significant attention in the study of complex brain diseases such as Alzheimer's disease (AD). Research on the associations between genotype and phenotype improves the understanding of the genetic basis and biological mechanisms of brain structure and function. AD is a progressive neurodegenerative disease; therefore, the study on the relationship between single nucleotide polymorphism (SNP) and longitudinal variations of neuroimaging phenotype is crucial. Although some machine learning models have recently been proposed to capture longitudinal patterns in genotype-phenotype association studies, most machine-learning models base the learning on fixed structure among longitudinal prediction tasks rather than automatically learning the interrelationships. In response to this challenge, we propose a new automated time structure learning model to automatically reveal the longitudinal genotype-phenotype interactions and exploits such learned structure to enhance the phenotypic predictions. We proposed an efficient optimization algorithm for our model and provided rigorous theoretical convergence proof. We performed experi...Continue Reading

References

Nov 1, 1985·Archives of Neurology·Z S Khachaturian
Jun 22, 2000·NeuroImage·J Ashburner, K J Friston
Mar 20, 2001·Current Psychiatry Reports·J W Ashford, F A Schmitt
Feb 4, 2003·Radiology·Jeffrey R PetrellaP Murali Doraiswamy
Feb 7, 2009·BMJ : British Medical Journal·Alistair Burns, Steve Iliffe
May 11, 2010·Alzheimer's & Dementia : the Journal of the Alzheimer's Association·Andrew J SaykinUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Sep 14, 2010·Neurobiology of Aging·John P AndrawisLiana G Apostolova
Nov 9, 2010·Genetic Epidemiology·Yun LiGonçalo R Abecasis
Apr 17, 2012·Nature Genetics·Joshua C BisUNKNOWN Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium
Sep 11, 2012·Bioinformatics·Hua WangUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Apr 5, 2013·Frontiers in Aging Neuroscience·Shannon L RisacherUNKNOWN Alzheimer's Disease Neuroimaging Initiative (ADNI)†
Oct 15, 2013·Journal of Internal Medicine·J B PereiraUNKNOWN AddNeuroMed consortium and for the Alzheimer's Disease Neuroimaging Initiative
Jul 2, 2014·Molecular Neurobiology·Jing MaLan Tan
Aug 30, 2016·Alzheimer's & Dementia : the Journal of the Alzheimer's Association·UNKNOWN Alzheimer's Association

❮ Previous
Next ❯

Citations

Nov 10, 2020·Medical Image Analysis·Gang WangUNKNOWN Alzheimer’s Disease Neuroimaging Initiative

❮ Previous
Next ❯

Methods Mentioned

BETA
genotyping

Software Mentioned

ANNOVAR
MaCH
VBM
mathop
DeclareMathSizes
FreeSurfer

Related Concepts

Related Feeds

Alzheimer's Disease: Neuroimaging

Neuroimaging can help identify pathological hallmarks of Alzheimer's disease (AD). Here is the latest research on neuroimaging modalities, including magnetic resonance imaging and positron emission tomography, in AD.