Genetic and environmental contributions to diagnostic fluctuation in anorexia nervosa and bulimia nervosa.

Anorexia nervosa behavioural genetics bulimia nervosa clinical diagnosis eating disorders genetic epidemiology medical register sibling design

Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
01 2021
Historique:
pubmed: 30 10 2019
medline: 20 11 2021
entrez: 30 10 2019
Statut: ppublish

Résumé

Anorexia nervosa and bulimia nervosa are two severe eating disorders associated with high premature mortality, suicidal risk and serious medical complications. Transition between anorexia nervosa and bulimia nervosa over the illness course and familial co-aggregation of the two eating disorders imply aetiological overlap. However, genetic and environmental liabilities to the overlap are poorly understood. Quantitative genetic research using clinical diagnosis is needed. We acquired a clinical diagnosis of anorexia nervosa (prevalence = 0.90%) and bulimia nervosa (prevalence = 0.48%) in a large population-based sample (N = 782 938) of randomly selected full-sisters and maternal half-sisters born in Sweden between 1970 and 2005. Structural equation modelling was applied to quantify heritability of clinically diagnosed anorexia nervosa and bulimia nervosa and the contributions of genetic and environmental effects on their overlap. The heritability of clinically diagnosed anorexia nervosa and bulimia nervosa was estimated at 43% [95% confidence interval (CI) (36-50%)] and 41% (31-52%), respectively, in the study population, with the remaining variance explained by variance in unique environmental effects. We found statistically significant genetic [0.66, 95% CI (0.49-0.82)] and unique environmental correlations [0.55 (0.43-0.66)] between the two clinically diagnosed eating disorders; and their overlap was about equally explained by genetic and unique environmental effects [co-heritability 47% (35-58%)]. Our study supports shared mechanisms for anorexia nervosa and bulimia nervosa and extends the literature from self-reported behavioural measures to clinical diagnosis. The findings encourage future molecular genetic research on both eating disorders and emphasize clinical vigilance for symptom fluctuation between them.

Sections du résumé

BACKGROUND
Anorexia nervosa and bulimia nervosa are two severe eating disorders associated with high premature mortality, suicidal risk and serious medical complications. Transition between anorexia nervosa and bulimia nervosa over the illness course and familial co-aggregation of the two eating disorders imply aetiological overlap. However, genetic and environmental liabilities to the overlap are poorly understood. Quantitative genetic research using clinical diagnosis is needed.
METHODS
We acquired a clinical diagnosis of anorexia nervosa (prevalence = 0.90%) and bulimia nervosa (prevalence = 0.48%) in a large population-based sample (N = 782 938) of randomly selected full-sisters and maternal half-sisters born in Sweden between 1970 and 2005. Structural equation modelling was applied to quantify heritability of clinically diagnosed anorexia nervosa and bulimia nervosa and the contributions of genetic and environmental effects on their overlap.
RESULTS
The heritability of clinically diagnosed anorexia nervosa and bulimia nervosa was estimated at 43% [95% confidence interval (CI) (36-50%)] and 41% (31-52%), respectively, in the study population, with the remaining variance explained by variance in unique environmental effects. We found statistically significant genetic [0.66, 95% CI (0.49-0.82)] and unique environmental correlations [0.55 (0.43-0.66)] between the two clinically diagnosed eating disorders; and their overlap was about equally explained by genetic and unique environmental effects [co-heritability 47% (35-58%)].
CONCLUSIONS
Our study supports shared mechanisms for anorexia nervosa and bulimia nervosa and extends the literature from self-reported behavioural measures to clinical diagnosis. The findings encourage future molecular genetic research on both eating disorders and emphasize clinical vigilance for symptom fluctuation between them.

Identifiants

pubmed: 31658910
doi: 10.1017/S0033291719002976
pii: S0033291719002976
pmc: PMC7856409
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

62-69

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Auteurs

Shuyang Yao (S)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Henrik Larsson (H)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
School of Medical Sciences, Örebro University, Örebro, Sweden.

Claes Norring (C)

Department of Clinical Neuroscience, Centre for Psychiatry Research, Stockholm, Karolinska Institutet, & Stockholm Health Care Services, Stockholm County Council, Sweden.

Andreas Birgegård (A)

Department of Clinical Neuroscience, Centre for Psychiatry Research, Stockholm, Karolinska Institutet, & Stockholm Health Care Services, Stockholm County Council, Sweden.

Paul Lichtenstein (P)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Brian M DʼOnofrio (BM)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA.

Catarina Almqvist (C)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden.

Laura M Thornton (LM)

Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Cynthia M Bulik (CM)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Ralf Kuja-Halkola (R)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

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