Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F12%3A00063448" target="_blank" >RIV/00216224:14110/12:00063448 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.neuroimage.2012.08.002" target="_blank" >http://dx.doi.org/10.1016/j.neuroimage.2012.08.002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.neuroimage.2012.08.002" target="_blank" >10.1016/j.neuroimage.2012.08.002</a>

Result language

angličtina

Original language name

Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression

Original language description

We present a new method for the detection of gene pathways associated with a multivariate quantitative trait, and use it to identify causal pathways associated with an imaging endophenotype characteristic of longitudinal structural change in the brains of patients with Alzheimer's disease (AD). Our method, known as pathways sparse reduced-rank regression (PsRRR), uses group lasso penalised regression to jointly model the effects of genome-wide single nucleotide polymorphisms (SNPs), grouped into functional pathways using prior knowledge of gene-gene interactions. Pathways are ranked in order of importance using a resampling strategy that exploits finite sample variability. Our application study uses whole genome scans and MR images from 99 probable ADpatients and 164 healthy elderly controls in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. 66,182 SNPs are mapped to 185 gene pathways from the KEGG pathway database.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EB - Genetics and molecular biology

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neuroimage

ISSN

1053-8119

e-ISSN

—

Volume of the periodical

63

Issue of the periodical within the volume

3

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

14

Pages from-to

1681-1694

UT code for WoS article

000310379100066

EID of the result in the Scopus database

—