scholarly journals Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis

2015 ◽  
Vol 47 (12) ◽  
pp. 1385-1392 ◽  
Author(s):  
Po-Ru Loh ◽  
◽  
Gaurav Bhatia ◽  
Alexander Gusev ◽  
Hilary K Finucane ◽  
...  
Keyword(s):  
Variance Components ◽  
Complex Diseases ◽  
Variance Components Analysis ◽  
Components Analysis

scholarly journals Contrasting regional architectures of schizophrenia and other complex diseases using fast variance components analysis

2015 ◽  
Author(s):  
Po-Ru Loh ◽  
Gaurav Bhatia ◽  
Alexander Gusev ◽  
Hilary K Finucane ◽  
Brendan K Bulik-Sullivan ◽  
...  
Keyword(s):  
Variance Components ◽  
Genetic Architecture ◽  
Complex Disease ◽  
Genetic Correlations ◽  
Complex Diseases ◽  
Variance Components Analysis ◽  
Trait Variance ◽  
Significant Enrichment ◽  
Components Analysis ◽  
Genomic Regions

Heritability analyses of GWAS cohorts have yielded important insights into complex disease architecture, and increasing sample sizes hold the promise of further discoveries. Here, we analyze the genetic architecture of schizophrenia in 49,806 samples from the PGC, and nine complex diseases in 54,734 samples from the GERA cohort. For schizophrenia, we infer an overwhelmingly polygenic disease architecture in which ≥71% of 1Mb genomic regions harbor at least one variant influencing schizophrenia risk. We also observe significant enrichment of heritability in GC-rich regions and in higher-frequency SNPs for both schizophrenia and GERA diseases. In bivariate analyses, we observe significant genetic correlations (ranging from 0.18 to 0.85) among several pairs of GERA diseases; genetic correlations were on average 1.3x stronger than correlations of overall disease liabilities. To accomplish these analyses, we developed a fast algorithm for multi-component, multi-trait variance components analysis that overcomes prior computational barriers that made such analyses intractable at this scale.

APPLICATION OF VARIANCE COMPONENTS ANALYSIS FOR IMPROVING ACOUSTIC RECIPROCITY MEASUREMENT QUALITY

1998 ◽  
Vol 22 (1) ◽  
pp. 30-33
Author(s):  
P. P. Gu ◽  
R. Thomas ◽  
J. Lee Kuo ◽  
P. Geck
Keyword(s):  
Variance Components ◽  
Measurement Quality ◽  
Variance Components Analysis ◽  
Components Analysis

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

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 Multivariate variance-components analysis of longitudinal blood pressure measurements from the Framingham Heart Study

BMC Genetics ◽  
2003 ◽  
Vol 4 (Suppl 1) ◽  
pp. S55 ◽  
Author(s):  
Peter Kraft ◽  
Lara Bauman ◽  
Jin Yuan ◽  
Steve Horvath
Keyword(s):  
Blood Pressure ◽  
Framingham Heart Study ◽  
Variance Components ◽  
Pressure Measurements ◽  
Variance Components Analysis ◽  
Heart Study ◽  
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.

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