Genome-wide complex trait analysis: Difference between revisions

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Expanded the interpretation and biases section. Removed most of the contrasts with twin studies and intelligence since these are unrelated to GCTA estimates and make this entry not self-contained.
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This section is completely fragmented and provides no additional information specific to GCTA
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* LDAK:<ref>Speed et al 2016, [http://biorxiv.org/content/early/2017/01/15/074310 "Re-evaluation of SNP heritability in complex human traits"]</ref> loosens the GCTA assumption that all SNPs, regardless of genotyping quality or frequency, have same averaged expected effect, allowing for potentially finding much more SNP heritability
* GREML-IBD:<ref name="Evans2017B">Evans et al 2017, [http://www.biorxiv.org/content/early/2017/07/17/164848 "Narrow-sense heritability estimation of complex traits using identity-by-descent information."]</ref> GCTA for [[identity by descent]], attempting to estimate heritability based on shared genome segments in distant otherwise-unrelated relatives, in order to capture the effect of rarer variants which are not measured by SNP panels or otherwise imputed
 
== Traits ==
 
GCTA estimates frequently find estimates 0.1-0.5, consistent with broadsense heritability estimates (with the exception of personality traits, for which theory & current GWAS results suggest non-additive genetics driven by [[frequency-dependent selection]]<ref name="Verweij2012">[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3518920/ "Maintenance of genetic variation in human personality: Testing evolutionary models by estimating heritability due to common causal variants and investigating the effect of distant inbreeding"], Verweij et al 2012</ref><ref>[http://www.unm.edu/~gfmiller/newpapers_sept6/penke%202007%20targetarticle.pdf "The Evolutionary Genetics of Personality"], Penke et al 2007; [http://www.larspenke.eu/pdfs/Penke_&_Jokela_in_press_-_Evolutionary_Genetics_of_Personality_Revisited.pdf "The Evolutionary Genetics of Personality Revisited"], Penke & Jokela 2016</ref>). Traits univariate GCTA has been used on (excluding SNP heritability estimates computed using other algorithms such as LD score regression, and bivariate GCTAs which are listed in [[genetic correlation]]) include (point-estimate format: "<math>h^2_{SNP}</math>([[standard error]])"):
 
== See also ==