We consider the problem of interpreting negative maximum likelihood estimates of heritability that sometimes arise from popular statistical models of additive genetic variation. These may result from random noise acting on estimates of genuinely positive heritability, but we argue that they may also arise from misspecification of the standard additive mechanism that is supposed to justify the statistical procedure. Researchers should be open to the possibility that negative heritability estimates could reflect a real physical feature of the biological process from which the data were sampled
BACKGROUND: The variance explained by genetic variants as identified in (genome-wide) genetic associ...
In many circumstances, heritability estimates are subject to two potentially interacting pitfalls: t...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
We consider the problem of interpreting negative maximum likelihood estimates of heritability that s...
For heritability estimation using a two-component random effects model, we provided formulas for the...
Random-effects models are a popular tool for analysing total narrow-sense heritability for quantitat...
Random-effects models are a popular tool for analysing total narrow-sense heritability for quantitat...
Abstract Can a heritability value tell us something about the weight of genetic versus environmental...
2018-12-07The 'missing heritability' problem describes the fact that the explained heritability from...
The variance explained by genetic variants as identified in (genome-wide) genetic association studie...
Background The variance explained by genetic variants as identified in (genome-wide) genetic associa...
The scientific debate following the initial formulation of the “bad luck” hypothesis in cancer devel...
International audienceIn this paper, we explain the concept of heritability and describe the differe...
For most complex traits, results from genome-wide association studies show that the proportion of th...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
BACKGROUND: The variance explained by genetic variants as identified in (genome-wide) genetic associ...
In many circumstances, heritability estimates are subject to two potentially interacting pitfalls: t...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
We consider the problem of interpreting negative maximum likelihood estimates of heritability that s...
For heritability estimation using a two-component random effects model, we provided formulas for the...
Random-effects models are a popular tool for analysing total narrow-sense heritability for quantitat...
Random-effects models are a popular tool for analysing total narrow-sense heritability for quantitat...
Abstract Can a heritability value tell us something about the weight of genetic versus environmental...
2018-12-07The 'missing heritability' problem describes the fact that the explained heritability from...
The variance explained by genetic variants as identified in (genome-wide) genetic association studie...
Background The variance explained by genetic variants as identified in (genome-wide) genetic associa...
The scientific debate following the initial formulation of the “bad luck” hypothesis in cancer devel...
International audienceIn this paper, we explain the concept of heritability and describe the differe...
For most complex traits, results from genome-wide association studies show that the proportion of th...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
BACKGROUND: The variance explained by genetic variants as identified in (genome-wide) genetic associ...
In many circumstances, heritability estimates are subject to two potentially interacting pitfalls: t...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...