Assessing the Heritability of Anorexia Nervosa Symptoms Using a Marginal Maximal Likelihood Approach]]>Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal; ]]>
Psychol Med. Author manuscript; available in PMC 2009 March 1.
Published in final edited form as:
PMCID: PMC2640444

Assessing the Heritability of Anorexia Nervosa Symptoms Using a Marginal Maximal Likelihood Approach



Assessment of eating disorders at the symptom level can facilitate the refinement of phenotypes. We examined genetic and environmental contributions to liability to anorexia nervosa (AN) symptoms in a population-based twin sample using a genetic common pathway model.


Participants were from the Norwegian Institute of Public Health Twin Panel and included all female monozygotic (n = 448 complete pairs and 4 singletons) and dizygotic (n = 263 complete pairs and 4 singletons) twins who completed the Composite International Diagnostic Interview assessing DSM-IV axis I and ICD-10 criteria. Responses to items assessing AN symptoms were included in a model fitted using marginal maximum likelihood.


Heritability of the overall AN diagnosis was moderate (a2 = .22, 95% CI: 0.0; .50), whereas heritabilities of the specific items varied. Heritability estimates for weight loss items were moderate (a2 estimates ranged from .31 to .34) and items assessing weight concern when at a low weight were smaller (ranging from .18 to .29). Additive genetic factors contributed little to the variance of amenorrhea, which was most strongly influenced by unshared environment (a2 =.16; e2 = .71).


AN symptoms are differentially heritable. Specific criteria such as those related to body weight and weight loss history represent more biologically driven potential endophenotypes or liability indices. Results regarding weight concern differ somewhat from those of previous studies, which highlights the importance of assessing genetic and environmental influences on variance of traits within specific subgroups of interest.