Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data

J Yan, SL Risacher, L Shen… - Briefings in bioinformatics, 2018 - academic.oup.com
In the past decade, significant progress has been made in complex disease research across
multiple omics layers from genome, transcriptome and proteome to metabolome. There is an …

Genetic insights in Alzheimer's disease

K Bettens, K Sleegers, C Van Broeckhoven - The lancet neurology, 2013 - thelancet.com
In the search for new genes in Alzheimer's disease, classic linkage-based and candidate-
gene-based association studies have been supplanted by exome sequencing, genome …

[HTML][HTML] Genome-wide association studies of brain imaging phenotypes in UK Biobank

LT Elliott, K Sharp, F Alfaro-Almagro, S Shi, KL Miller… - Nature, 2018 - nature.com
The genetic architecture of brain structure and function is largely unknown. To investigate
this, we carried out genome-wide association studies of 3,144 functional and structural brain …

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

T Zhou, KH Thung, X Zhu, D Shen - Human brain mapping, 2019 - Wiley Online Library
In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic
data for identifying Alzheimer's disease (AD) and its prodromal status, Mild Cognitive …

Common genetic variation influencing human white matter microstructure

B Zhao, T Li, Y Yang, X Wang, T Luo, Y Shan, Z Zhu… - Science, 2021 - science.org
INTRODUCTION White matter in the human brain serves a critical role in organizing
distributed neural networks. Diffusion magnetic resonance imaging (dMRI) has enabled the …

The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception

MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2013 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …

Genomic variants, genes, and pathways of Alzheimer's disease: An overview

AC Naj, GD Schellenberg… - American Journal of …, 2017 - Wiley Online Library
Alzheimer's disease (AD)(MIM: 104300) is a highly heritable disease with great complexity
in its genetic contributors, and represents the most common form of dementia. With the …

Brain imaging genomics: integrated analysis and machine learning

L Shen, PM Thompson - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Brain imaging genomics is an emerging data science field, where integrated analysis of
brain imaging and genomics data, often combined with other biomarker, clinical, and …

Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans

AJ Saykin, L Shen, TM Foroud, SG Potkin… - Alzheimer's & …, 2010 - Elsevier
The role of the Alzheimer's Disease Neuroimaging Initiative Genetics Core is to facilitate the
investigation of genetic influences on disease onset and trajectory as reflected in structural …

Impact of the Alzheimer's disease neuroimaging initiative, 2004 to 2014

MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2015 - Elsevier
Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) was
established in 2004 to facilitate the development of effective treatments for Alzheimer's …