Association of BDNF with restricting anorexia nervosa and minimum body mass index: a family-based association study of eight European populations (original) (raw)

Introduction

Anorexia nervosa (AN) and bulimia nervosa (BN) are eating disorders (ED) with a complex and multifactorial aetiology, where environmental and genetic factors are involved.1 Different lines of evidence suggest that brain-derived neurotrophic factor (BDNF), which encodes for a neurotrophin with a role in synaptic plasticity and neuronal development, participates in eating behaviour and weight regulation.2, 3, 4 Accordingly, animal models and association studies support that alterations on this neurotrophic system could be involved in the aetiopathology of ED.5, 6, 7, 8, 9 We previously screened the BDNF gene in 95 ED patients, identified the −270C>T and Val66Met SNPs and observed a strong association of the Met66 allele, restricting AN (ANR) and minimum body mass index (minBMI;10). We then aimed to replicate this study in a sample from six different European centres and found that the Met66 variant was associated to all ED subtypes (ANR, binge-eating/purging AN (ANB) and BN), and that the −270C allele had an effect on BN and late age at onset of weight loss.11 Finally, Koizumi et al also described a positive association between the Met66 allele within the BDNF gene, ANR and BNP.12 However, no family studies have yet been carried out to detect the participation of this neurotrophic factor in ED. To address this question and avoid potential population stratification, we performed a family-based study following two different strategies: we first carried out a haplotype relative risk (HRR) and a haplotype-based haplotype relative risk (HHRR) analyses for genotypes and alleles of both the Val66Met and the −270C/T polymorphisms,13 and then performed a transmission disequilibrium test (TDT) to study linkage in the presence of association.14

We obtained a total sample of 453 ED family trios independently recruited from seven European countries participating in the European Community Framework V ‘Factors in Healthy Eating’ project (Austria, France, Germany, Italy, Slovenia, Spain and United Kingdom). Owing to the presence of genetic and phenotypic heterogeneity, we considered the three main ED groups of ANR, ANB and BN that have been shown to differ in various biological and psychopathological features.15, 16, 17 We also focused the study on different phenotypical markers that may reflect the severity of the illness, such as minBMI, maximum body mass index (maxBMI) and age at onset of weight loss (AO).

Results

The Val66Met and −270C/T SNPs were in linkage disequilibrium (_D_′=0.78) and followed Hardy–Weinberg equilibrium in ED patients (_χ_2=0.055, _P_=0.81 for the Val66Met and _χ_2=2.4, _P_=0.12 for the −270C/T SNPs) and their parents (_χ_2=2.1, _P_=0.14 for the Val66Met, and _χ_2=0.02 _P_=0.9 for the −270C/T SNPs).

We first performed an HRR analysis considering the nontransmitted alleles from the parents to the probands as a ‘virtual’ control group. No significant differences were observed when the −270C/T SNP was considered (data not shown). However, we found a positive association of the Met66 allele and ANR in the British (_χ_2=4.3, _P_=0.037), Spanish (_χ_2=6.5, _P_=0.012) and French samples (_χ_2=3.9, _P_=0.035; Table 1). Once we discarded the presence of genetic heterogeneity by comparing the nontransmitted alleles from the different centres (_χ_2=9.4, df=6, _P_=0.15 for the Val66Met and _χ_2=3.7, df=6, _P_=0.72 for the −270C/T SNPs), the combined analysis of the total sample of European trios confirmed a significant association between ANR and the Met66 allele of the Met66Val SNP (_χ_2=5.1, _P_=0.015). These results were also observed when we compared the Val66Met allele frequencies by the HHRR test (_χ_2=4.6, _P_=0.019, OR=1.4; Table 1). After Bonferroni correction, taking into account two different SNPs, the Met66 allele was still positively associated to ANR.

Table 1 Genotypic and allelic distribution of the Val66Met SNP of the BDNF gene in patients with restricting AN and ‘virtual’ controls

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We then analysed the ANB group and observed a positive association between this clinical subtype and the Val66 allele when both genotype (_χ_2=7.3, _P_=0.009) and allele frequencies of the German population were considered (_χ_2=8.1, _P_=0.0048, OR=8.4; Table 2). However, no significant differences were found when we analysed all the ANB European trios or the BN sample.

Table 2 Genotypic and allelic distribution of the Val66Met SNP of the BDNF gene in patients with binge-eating/purging AN and ‘virtual’ controls

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The TDT analysis showed that only 60 and 14% of the total sample of 453 ED trios were informative for the Val66Met and the −270C>T polymorphisms, respectively. Thus, 343 parents heterozygous for the Val66Met SNP (158 ANR, 113 ANB and 72 BN) and 79 for the −270C/T SNPs (37 ANR, 24 ANB and 18 BN) were analysed by the TDT approach. No significant differences in the transmission of the BDNF alleles were observed when both polymorphisms were separately considered. However, the multiallelic version of the TDT revealed an excess of transmission of the −270C/Met66 haplotype (74 transmitted vs 51 not transmitted, _χ_2=4.2, _P_=0.019) and a reduced transmission of the −270C/Val66 haplotype (63 transmitted vs 87 not transmitted, _χ_2=3.84, _P_=0.025) to the affected ANR offspring (Table 3). No significant differences were observed when trios with ANB or BN were considered (data not shown).

Table 3 TDT for the Val66Met and −270C/T SNPs of the BDNF gene in 158 trios with restricting AN from eight different European centres

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The quantitative trait loci transmission disequilibrium test (Q-TDT) did not give evidence for the involvement of the −270C>T SNP in any of the ED-related traits. We neither observed association between the Val66Met variant and AO nor maxBMI, but, consistent with previously reported results,10 we detected that the Met66 allele was transmitted with a lower minBMI than the Val66 allele (_T_=2.09, _P_=0.019, Table 4). After Bonferroni correction, considering two SNPs and three different ED-related phenotypes, these differences did not remain statistically significant.

Table 4 Q-TDT analysis of the Val66Met BDNF SNP and minimum BMI, maximum BMI and age at onset of weight loss (AO) in trios with restricting AN

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Discussion

The results of the present study give additional evidence for the association between BDNF and the restrictive type of AN, replicating previous case–control studies by a family-based approach.10, 11, 12 Our genetic data are in agreement with animal model studies where intraventricular administration of BDNF in rats induces starvation and weight loss. Accordingly, BDNF or its receptor NTRK2 knockout mice develop obesity and hyperphagia, which also suggest the involvement of this neurotrophic factor in eating behaviour and body weight regulation.5, 6, 7, 8, 9

The HRR and HHRR analyses of family trios from eight different European centres showed that, over population heterogeneity, the Met66 allele of the Val66Met SNP is associated with ANR. By the TDT approach no differences were observed when both the −270C>T and Va166Met SNPs were separately considered, but we detected a preferential transmission of the −270C/Met66 haplotype to the affected ANR offspring.

Family-based association studies, which have similar sensitivity to case–control analyses when using the HRR test and the specificity of linkage analysis when considering the TDT method, are not sensitive to stratified populations and address the problem of stratification present in the population-based association approaches. However, the statistical power of the TDT method depends on the number of heterozygous parents analysed and becomes a critical issue in the study of susceptibility genes in a complex phenotype such as ED. Although our sample size is relatively large, the negative results of the TDT analysis, when both BDNF SNPs were separately analysed, should be considered with caution, as only 158 and 37 ANR trios were informative for the Val66Met and −270C/T SNPs, respectively, sample sizes that represent a statistical power of 77% for the Val66Met and 5.7% for the −270C>T SNPs.

On the other hand, the haplotype analysis considering both BDNF variants provided additional information, being the −270C/Met66 haplotype preferentially transmitted to the affected ANR probands. These results may reflect the positive association between the Met66 allele and ANR observed by the HRR and HHRR approaches. As this sequence variant consists of a functional amino-acid substitution that modulates the activity-dependent secretion of BDNF in hippocampal transfected neurons,18 it could have direct biological consequences in the aetiology of ANR. Alternatively, a new variant in linkage disequilibrium with Met66 could be responsible for the genetic susceptibility to ED. Interestingly, another candidate gene involved in synapses, MALS3, is located 140 kb upstream of BDNF and its screening will provide further evidence for its possible involvement in the physiopathology of ED.19, 20

We found no evidence for the significant role of BDNF in ANP or BN that was previously reported by a case–control study of six European populations.11 Possible explanations for this discrepancy could be the presence of genetic heterogeneity, inadequate power of a small sample size once patients were subdivided according to the clinical subtype (statistical power <30% in all cases) or population structure effects. Moreover, the ANR sample may represent a more homogeneous clinical group that, in the presence of a moderate statistical power and genetic heterogeneity, may contribute to a better identification of the genetic factors involved. Alternatively, stratification bias, especially when analysing different populations, may have been a potential confounding factor in the previous case–-control association studies. However, although the contribution of the different centres with rather different sample sizes could increase the probability of type II errors, there are several evidences that suggest no stratification bias in the populations analysed: (a) we have analysed markers in other candidate genes for ED in the European samples participating in this study and no population differences among the different centres were detected,21, 22 (b) we have compared allelic and genotype frequencies of the BDNF SNPs among controls from the different centres and no significant differences have been observed and (c) Ardlie et al23 analysed four different samples to detect the presence of population subdivision and suggested that carefully matched and moderate-sized samples from European populations are unlikely to contain levels of population stratification. All these evidences support the fact that the presence of population stratification among the different European centres participating in this study is unlikely to be involved in our positive results.

Although the number of ED trios was modest, once we subdivided the samples according to centres, the association between ANB and the Val66 allele in the German group suggests that, as previously reported, this population displays a different genetic background in comparison to the other European samples.11 Alternatively, a differential Val66Met effect on ANR and ANB is also possible, but previous case–control studies argue against this hypothesis as the Met66 allele was associated to ANR, ANB and BN.11, 12 On the other hand, we did not find the previously reported association between the −270C/T SNP and BN or AO,11 but its low heterozygosity in the studied groups or the presence of population heterogeneity could contribute to these negative results.

Under the hypothesis that AN and BN may share some aetiological basis,15, 24 we also focused our study on different ED phenotypical markers and found an association between the Met66 BDNF allele and low minBMI. These results are consistent with previous studies and suggest a role of this BDNF variant in the severity of the illness.10

In conclusion, the results of this family-based study give evidence for a BDNF contribution in the vulnerability to both ANR and minBMI in a sample of eight different European populations. This is the first family approach that replicates previous case–control studies reporting a positive association between BDNF and ED. However, it remains uncertain if the −270C/T SNP participates in eating behaviour and body weight regulation. Further studies in larger samples should provide additional clues about its role in the susceptibility to ED. Moreover, the characterization of additional SNPs within and flanking the BDNF gene, together with the analysis of other populations, may improve our understanding about the involvement of this neurotrophin in the vulnerability to AN and BN.

Subjects and methods

Study subjects

Family-based study

A total of 453 family trios with ED 79.2% AN trios (_N_=359) and 20.8% BN trios (_N_=94)) were recruited from eight different European centres participating in the EC Framework V ‘Factors in Healthy Eating’ QLK1-1999-916 consortium (France (_N_=131), UK (_N_=39), Germany (_N_=95), Milan (_N_=54), Florence (_N_=13), Spain (_N_=67), Austria (_N_=43) and Slovenia (_N_=11)). AN trios were subdivided in restricting (_N_=219) and binge-eating/purging (_N_=140) subtype. All probands included in this study had a minimum duration of the illness of 3 years to be considered as ANR or ANP. Table 5 shows the distribution of the ED family trios according to diagnosis and population. All probands fulfilled the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) criteria for ED and were diagnosed using various types of interview according to the country. The Spanish and Florence samples were diagnosed with the Structured Clinical Interview for Mental Disorders, research version 2.0 (SCID-I), the British and Austrian samples with the ATE EAT, the French patients with the Diagnostic Interview for Genetic Studies (DIGS), the Italian sample from Milan with the Diagnostic Interview Schedule-Revised (DIS-R), and the German and Slovene samples with the Composite International Diagnostic Interview (CIDI). Physicians reached a consensus on the different interviews used for the diagnosis. Most of the patients were female (_N_=441, 97.3%) and DNA samples were used in previous association studies.10, 11, 21, 22 Probands of 339 ED trios (88%) were previously analysed in a case–control study to determine the BDNF participation in ED.11 Clinical information was available from the majority of patients. The average age at assessment was 20.8 years old (SD=6.7) for AN patients and 23.7 years old (SD=5.3) for BN patients. The lifetime minBMI was 13.66 kg/m2 (SD=2.1) for AN patients and 18.63 kg/m2 (SD=3.0) for BN patients. The lifetime maxBMI was 20.53 kg/m2 (SD=3.7) for AN patients and 25.32 kg/m2 (SD=4.7) for BN patients. The study was approved by the Ethics Committee of each institution. Written informed consent was obtained from all subjects who participated in the study.

Table 5 Distribution of 453 ED trios from eight European centres according to population and diagnosis

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Molecular analysis

Genotyping of the −270C/T polymorphism located in the 5′-untranslated region of the BDNF gene and the Val66Met variant within the prodomain of the BDNF precursor was performed as previously described.11

Statistical analysis

Average minBMI, maxBMI, age of assessment and AO in each studied group were measured by the statistical package SPSS 10.0. The distribution of genotypes for the different populations was tested for the Hardy–Weinberg equilibrium by a _χ_2 analysis using the INSTAT Graphpad software. Under the hypothesis that BDNF may confer susceptibility to the different ED subtypes in different ways and to reduce heterogeneity, patients were subgrouped according to the clinical subtypes of ANR, ANP and BN. The Italian samples from Milan and Florence were analysed together in all statistical tests. Linkage disequilibrium tests were performed in probands and their parents using the Haploview v.2.03 (http://www.broad.mit.edu/personal/jcbarret/haploview). The power analysis was performed post hoc on the ED groups with the Power Calculator software for the HRR analysis (Department of Statistics of the University of Los Angeles; http://calculators.stat.ucla.edu/powercalc) and with the Genetic Power Calculator for the TDT approach (http://statgen.iop.kcl.ac.uk/gpc;25). The transmitted and not transmitted genotypes from parents to the affected offspring were compared by the HRR strategy using the UNPHASED v.2.4 software.26 The comparison of the transmitted and not transmitted alleles from parents to the child was assessed by the HHRR analysis 27 using a Fisher-exact test by the INSTAT Graphpad software. After Bonferroni correction, conisdering two different BDNF SNPs, significance was set up at _P_-values<0.025. The TDT and the two-locus TDT were performed using McNemar's _χ_2 by the GENEHUNTER program (version 1.0; 13). The analysis of the ED-related quantitative traits was performed in the overall sample of ED patients by the quantitative trait loci QTDT.28 As the aim of this study was to replicate a previous reported association, we considered one-tailed _P_-values in all statistical tests.

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Acknowledgements

We thank the patients for participation in the study. Financial support was received from the European Union (Framework-V Multicentre Research Grant, QLK1-1999-916, coordinated by Janet Treasure and David Collier), the ‘Psychiatry Genetics network (G03/184), ‘Instituto de Salut Carlos III – FIS’ and the ‘Departament d'Universitats i Societat de la informació, Generalitat de Catalunya’. Marta Ribases was recipient of a BEFI fellowship from the FIS (Spanish Ministry of Health) and the CRG (Center for Genomic Regulation).

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Authors and Affiliations

1. Genes and Disease Program, Center for Genomic Regulation, Barcelona Biomedical Research Park, Barcelona, Spain
   Marta Ribasés, Mònica Gratacòs & Xavier Estivill
2. Department of Psychiatry, Hospital Principes d'España, L'Hospitalet de Llobregat, Barcelona, Spain
   Fernando Fernández-Aranda
3. Department of Neuropsychiatric Sciences (DSNP), Fondazione Centro S. Raffaele del Monte Tabor, Milan, Italy
   Laura Bellodi, Maria Cristina Cavallini, Daniela Di Bella & Stefano Erzegovesi
4. INSERM U 288, Neuropsychopharmacologie, CHU Pitié-Salpêtrière, Paris, France
   Claudette Boni
5. University Psychiatric Hospital Ljubljana, Slovenia
   Marija Anderluh & Martina Tomori
6. Department of Neurology and Psychiatric Sciences, University of Florence, Viale Morgagni 85, 50134, Florence, Italy
   Elena Cellini, Benedetta Nacmias, Valdo Ricca & Sandro Sorbi
7. CMME. Centre Hospitalier Sainte-Anne, 100 rue de la Santé, Paris, France
   Christine Foulon
8. Medical Centre for Molecular Biology (MCMB), Faculty of Medicine, University of Ljubljana, Slovenia
   Mojca Gabrovsek & Radovan Komel
9. Hôpital Louis Mourier (AP-HP), Service de Psychiatrie, 178 rue des Renouillers, Colombes, France
   Philip Gorwood
10. Department of Child and Adolescent Psychiatry, Clinical Research Group, Philipps University Marburg, Germany
    Johannes Hebebrand, Anke Hinney & Helmut Remschmidt
11. Eating Disorders Unit and SGDP Research Centre, Institute of Psychiatry, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
    Jo Holliday, Xun Hu, Janet Treasure & David A Collier
12. University Clinic of Neuropsychiatry of Childhood and Adolescence, Waehringer Guertel 18-20, A-1090, Vienna, Austria
    Andreas Karwautz & Gudrun Wagner
13. CNRS UMR 7593-Paris VII, Personnalité et Conduites Adaptatives, CHU Pitié-Salpêtrière, Paris, France
    Amélie Kipman
14. Experimental and Helth Sciences Department, Pompeu Fabra University, Barcelona Biomedical Research Park, Barcelona, Spain
    Xavier Estivill

Authors

1. Marta Ribasés
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2. Mònica Gratacòs
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3. Fernando Fernández-Aranda
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4. Laura Bellodi
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5. Claudette Boni
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6. Marija Anderluh
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7. Maria Cristina Cavallini
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8. Elena Cellini
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9. Daniela Di Bella
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10. Stefano Erzegovesi
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11. Christine Foulon
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12. Mojca Gabrovsek
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13. Philip Gorwood
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14. Johannes Hebebrand
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15. Anke Hinney
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16. Jo Holliday
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17. Xun Hu
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18. Andreas Karwautz
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19. Amélie Kipman
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20. Radovan Komel
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21. Benedetta Nacmias
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22. Helmut Remschmidt
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23. Valdo Ricca
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24. Sandro Sorbi
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25. Martina Tomori
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26. Gudrun Wagner
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27. Janet Treasure
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28. David A Collier
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29. Xavier Estivill
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Corresponding author

Correspondence toXavier Estivill.

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Ribasés, M., Gratacòs, M., Fernández-Aranda, F. et al. Association of BDNF with restricting anorexia nervosa and minimum body mass index: a family-based association study of eight European populations.Eur J Hum Genet 13, 428–434 (2005). https://doi.org/10.1038/sj.ejhg.5201351

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• Received: 15 June 2004
• Revised: 27 October 2004
• Accepted: 11 November 2004
• Published: 22 December 2004
• Issue Date: 01 April 2005
• DOI: https://doi.org/10.1038/sj.ejhg.5201351

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