Links and References

Online Resources

Readings & References

GWAS of Height: Defining the role of common variation in the genomic and biological architecture of adult human height

Common disorders are quantitative traits, Plomin, 2009

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder, Purcell, 2009

Biological insights from 108 schizophrenia-associated genetic loci, PGC SCZ, 2014

GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Rietveld, 2013

MAGMA: Generalized Gene-Set Analysis of GWAS Data, Christiaan, 2015

Plink: A Tool Set for Whole-Genome Association... Purcell, 2007

Second-Generation PLINK... Chang, 2015

solarius: an R interface to SOLAR for variance component analysis in pedigrees, Ziyatdinov 2016

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies, Bulik-Sullivan, 2015a

An Atlas of Genetic Correlations across Human Diseases and Traits, Bulik-Sullivan, 2015b

Statistical power and significance testing in large-scale genetic studies, Sham & Purcell 2014

What should the genome-wide significance threshold be? Empirical replication of borderline genetic associations, Panagiotou 2012

A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry, Duncan & Keller 2011

Gene × environment interaction studies have not properly controlled for potential confounders: the problem and the (simple) solution, Keller 2014

Mendelian randomization: genetic anchors for causal inference in epidemiological studies, Davey Smith & Hemani 2014

Analysis of shared heritability in common disorders of the brain (aka BRAINSTORM), Anttila 2016

Logical and methodological issues affecting genetic studies of humans reported in top neuroscience journals, Grabitz 2017

Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression, Culverhouse 2017

Power-up: a reanalysis of ‘power failure’ in neuroscience using mixture modelling, Nord 2017

Candidate Gene–Environment Interaction Research, Dick 2015

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