Open AccessA Systems Biology Approach for Hypothesizing the Effect of Genetic Variants on Neuroimaging Features in Alzheimer’s Disease
Author(s) -
Sepehr Golriz Khatami,
Daniel DomingoFernándéz,
Sarah Mubeen,
Charles Tapley Hoyt,
Christine Robinson,
Reagon Karki,
Anandhi Iyappan,
Alpha Tom Kodamullil,
Martin HofmannApitius
Publication year - 2021
Publication title -
journal of alzheimer's disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.677
H-Index - 139
eISSN - 1875-8908
pISSN - 1387-2877
DOI - 10.3233/jad-201397
Subject(s) - neuroimaging , neuroscience , context (archaeology) , imaging genetics , biology , disease , genetic association , mechanism (biology) , genome wide association study , computational biology , single nucleotide polymorphism , genetics , gene , medicine , pathology , genotype , paleontology , philosophy , epistemology
Neuroimaging markers provide quantitative insight into brain structure and function in neurodegenerative diseases, such as Alzheimer's disease, where we lack mechanistic insights to explain pathophysiology. These mechanisms are often mediated by genes and genetic variations and are often studied through the lens of genome-wide association studies. Linking these two disparate layers (i.e., imaging and genetic variation) through causal relationships between biological entities involved in the disease's etiology would pave the way to large-scale mechanistic reasoning and interpretation.