Longitudinal analysis is more powerful than cross-sectional analysis in detecting genetic association with neuroimaging phenotypes

PLoS ONE

Volumn 9, Issue 8, 2014, Pages

  Xu, Zhiyuan ^a   Shen, Xiaotong ^b   Pan, Wei ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETER; ADULT; ARM MUSCLE; ARTICLE; BIOMECHANICS; EXTENSOR CARPI ULNARIS MUSCLE; EXTENSOR DIGITORUM MUSCLE; FLEXOR CARPI ULNARIS MUSCLE; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; MALE; MECHANOMYOGRAPHY; MUSCLE ISOMETRIC CONTRACTION; MYOGRAPHY; NORMAL HUMAN; AGED; ALZHEIMER DISEASE; COMPARATIVE STUDY; CROSS-SECTIONAL STUDY; FEMALE; GENETICS; GENOME-WIDE ASSOCIATION STUDY; LONGITUDINAL STUDY; NEUROIMAGING; PATHOLOGY; SINGLE NUCLEOTIDE POLYMORPHISM; VERY ELDERLY;

APOLIPOPROTEIN E;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; APOLIPOPROTEINS E; CROSS-SECTIONAL STUDIES; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LONGITUDINAL STUDIES; MALE; NEUROIMAGING; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84905472519     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0102312     Document Type: Article

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