Genome-wide linkage analyses of total serum IgE using variance components analysis in asthmatic families

2001 ◽  
Vol 20 (3) ◽  
pp. 340-355 ◽  
Author(s):  
R.A. Mathias ◽  
L.R. Freidhoff ◽  
M.N. Blumenthal ◽  
D.A. Meyers ◽  
L. Lester ◽  
...  
Keyword(s):  
Variance Components ◽  
Total Serum ◽  
Serum Ige ◽  
Linkage Analyses ◽  
Variance Components Analysis ◽  
Genome Wide ◽  
Components Analysis

Genome-wide scan on total serum IgE levels identifies no common variants in a healthy Chinese male population

2013 ◽  
Vol 65 (8) ◽  
pp. 561-568 ◽  
Author(s):  
Ming Liao ◽  
Dianchun Shi ◽  
Yao Wang ◽  
Kai Zhang ◽  
Xin Chen ◽  
...  
Keyword(s):  
Total Serum ◽  
Common Variants ◽  
Male Population ◽  
Serum Ige ◽  
Genome Wide ◽  
Healthy Chinese ◽  
Chinese Male ◽  
Genome Wide Scan

Variance components analysis of data from periodontal research

1988 ◽  
Vol 23 (2) ◽  
pp. 148-153 ◽  
Author(s):  
J. A. C. Sterne ◽  
N. W. Johnson ◽  
J. M. A. Wilton ◽  
S. Joyston-Bechal ◽  
F. C. Smales
Keyword(s):  
Variance Components ◽  
Variance Components Analysis ◽  
Components Analysis ◽  
Periodontal Research

Variance components analysis of forced expiration in families

1985 ◽  
Vol 21 (4) ◽  
pp. 741-753 ◽  
Author(s):  
J. A. Astemborski ◽  
T. H. Beaty ◽  
B. H. Cohen ◽  
John M. Opitz ◽  
James F. Reynolds
Keyword(s):  
Variance Components ◽  
Forced Expiration ◽  
Variance Components Analysis ◽  
Components Analysis

scholarly journals Longitudinal variance-components analysis of the Framingham Heart Study data

BMC Genetics ◽  
2003 ◽  
Vol 4 (Suppl 1) ◽  
pp. S22 ◽  
Author(s):  
Stuart Macgregor ◽  
Sara A Knott ◽  
Ian White ◽  
Peter M Visscher
Keyword(s):  
Framingham Heart Study ◽  
Variance Components ◽  
Study Data ◽  
Framingham Heart Study Data ◽  
Variance Components Analysis ◽  
Heart Study ◽  
Components Analysis

scholarly journals Blood-based epigenome-wide analyses of cognitive abilities

2021 ◽  
Author(s):  
Daniel L. McCartney ◽  
Robert F Hillary ◽  
Daniel Trejo-Banos ◽  
Danni Alisha Gadd ◽  
Rosie M Walker ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Individual Differences ◽  
Association Study ◽  
Cognitive Ability ◽  
Cognitive Functions ◽  
Cognitive Abilities ◽  
Variance Components ◽  
General Cognitive Ability ◽  
Variance Components Analysis ◽  
Components Analysis

We present a blood-based epigenome-wide association study and variance-components analysis of cognitive functions (n=9,162). Individual differences in DNA methylation (DNAm) accounted for up to 41.5% of the variance in cognitive functions; together, genetic and epigenetic markers accounted for up to 70.4% of the variance. A DNAm predictor accounted for 3.4% and 4.5% (P≤9.9x10-6) of the variance in general cognitive ability, independently of a polygenic score, in two external cohorts.

scholarly journals Multivariate variance-components analysis in DTI

2010 ◽  
Author(s):  
Agatha D. Lee ◽  
Natasha Lepore ◽  
Jan de Leeuw ◽  
Caroline C. Brun ◽  
Marina Barysheva ◽  
...  
Keyword(s):  
Variance Components ◽  
Variance Components Analysis ◽  
Components Analysis
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