Assertion: different gene | /r/CapableOf | influence trait
Facets:
value: in different populations
type: LOCATION
value: over a lifetime
type: TEMPORAL
Source sentences:
text: Genetic correlations are scientifically useful because genetic correlations can be analyzed over time within an individual longitudinally (e.g. intelligence is stable over a lifetime, due to the same genetic influences – childhood genetically correlates r g = 0.62 {\displaystyle r_{g}=0.62} with old age), or across studies or populations or ethnic groups/races[citation needed], or across diagnoses, allowing discovery of whether different genes influence a trait over a lifetime (typically, they do not), whether different genes influence a trait in different populations due to differing local environments, whether there is disease heterogeneity across times or places or sex (particularly in psychiatric diagnoses there is uncertainty whether 1 country's 'autism' or 'schizophrenia' is the same as another's or whether diagnostic categories have shifted over time/place leading to different levels of ascertainment bias), and to what degree traits like autoimmune or psychiatric disorders or cognitive functioning meaningfully cluster due sharing a biological basis and genetic architecture (for example, reading & mathematics disability genetically correlate, consistent with the Generalist Genes Hypothesis, and these genetic correlations explain the observed phenotypic correlations or 'co-morbidity'; IQ and specific measures of cognitive performance such as verbal, spatial, and memory tasks, reaction time, long-term memory, executive function etc.
text: Genetic correlations are scientifically useful because genetic correlations can be analyzed over time within an individual longitudinally (e.g. intelligence is stable over a lifetime, due to the same genetic influences – childhood genetically correlates r g = 0.62 {\displaystyle r_{g}=0.62} with old age), or across studies or populations or ethnic groups/races[citation needed], or across diagnoses, allowing discovery of whether different genes influence a trait over a lifetime (typically, they do not), whether different genes influence a trait in different populations due to differing local environments, whether there is disease heterogeneity across times or places or sex (particularly in psychiatric diagnoses there is uncertainty whether 1 country's 'autism' or 'schizophrenia' is the same as another's or whether diagnostic categories have shifted over time/place leading to different levels of ascertainment bias), and to what degree traits like autoimmune or psychiatric disorders or cognitive functioning meaningfully cluster due sharing a biological basis and genetic architecture (for example, reading & mathematics disability genetically correlate, consistent with the Generalist Genes Hypothesis, and these genetic correlations explain the observed phenotypic correlations or 'co-morbidity'; IQ and specific measures of cognitive performance such as verbal, spatial, and memory tasks, reaction time, long-term memory, executive function etc.