Reliable confidence intervals in quantitative genetics: narrow-sense heritability

Quantitative genetics: measuring heritability

Reliable Confidence Intervals for Software Effort Estimation

This paper deals with the problem of software effort estimation through the use of a new machine learning technique for producing reliable confidence measures in predictions. More specifically, we propose the use of Conformal Predictors (CPs), a novel type of prediction algorithms, as a means for providing effort estimations for software projects in the form of predictive intervals according to...

Fast and Accurate Construction of Confidence Intervals for Heritability.

Estimation of heritability is fundamental in genetic studies. Recently, heritability estimation using linear mixed models (LMMs) has gained popularity because these estimates can be obtained from unrelated individuals collected in genome-wide association studies. Typically, heritability estimation under LMMs uses the restricted maximum likelihood (REML) approach. Existing methods for the constr...

Effect of Regulatory Architecture on Broad versus Narrow Sense Heritability

Additive genetic variance (VA ) and total genetic variance (VG ) are core concepts in biomedical, evolutionary and production-biology genetics. What determines the large variation in reported VA /VG ratios from line-cross experiments is not well understood. Here we report how the VA /VG ratio, and thus the ratio between narrow and broad sense heritability (h(2) /H(2) ), varies as a function of ...

Quantitative Genetics: Heritability Is Not Always Missing

Quantitative trait loci (QTLs) underlying multifactorial disorders explain little of the heritability - most is 'missing'. A new yeast study has identified QTLs which explain most heritability in traits. Why is heritability missing in human diseases but not here?