Dissecting statistical genomics and psychiatric epidemiology...

Uncovering Eating Disorder Genetics Through Large Scale Sequencing | WCPG 2024 Poster

Acknowledgments

We would like to acknowledge Klarman Family Foundation for generously providing funds that made this project possible. We would also like to acknowledge the participants who volunteered their data and samples, without whom this work would not be possible.

Notice

Results shown in this abstract, poster, and blog post are outcomes of a preliminary work that is still in progress and have not been peer-reviewed, as presented at the World Congress in Psychiatric Genetics (WCPG) 2024 in Singapore. Readers should exercise discretion when evaluating and interpreting these results.

Authors

Franjo Ivankovic1-3, Kristin N. Javaras1,4, Rocky Stroud1,5, Faith Jennings1,5, Kaitlin Pennels1, Chirstine Stevens1, Pamela Morales Cedillo6, Beatriz Camarena Medellin6, Mark J. Daly1-3, Benjamin M. Neale1-3

1Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA;
2Program in Medical and Population Genetics, Broad Institute of MIT and Harvard,
Cambridge, MA;
3Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA;
4Division of Women’s Mental Health, McLean Hospita, Belmont, MA;
5Department of Epidemiology, Harvard T.H. Chan School of Public Health, Cambride, MA;
6Instituto Nacional De Psiquiatría Ramón de la Fuente Muñiz, Ciudad de México, México

Abstract

Both anorexia (AN) and bulimia (BN) nervosa are marked by a substantial genetic component, with family study heritability estimates of 0.58-0.76 for AN and 0.30-0.83 for BN. Despite such heritability estimates, discovery of genetic risk factors for AN and BN remain limited. Genome-wide association studies are limited in power and resolution, and discoverability of genetic risk factors is hindered by study-design limitations such as potential confounding by BMI due to current AN nosology. The Genetics of Eating Disorders study at the Broad Institute is currently recruiting participants for deep-phenotyping assessments and DNA sequencing analysis to further elucidate the biopathological mechanisms underpinning eating disorders and associated comorbidities.

Our analysis is focusing on existing samples from large biobanks (FinnGen, N=4,616; All of Us, N=2,500; MGB biobank, N=1,000), representing one of the largest collective cohorts in eating disorder genome sequencing so far. We are additionally planning to sequence additional 10,000 AN/BN cases and 10,000 controls over the next 2 years, recruited in the clinics across the United States, Mexico, and Europe, as well as direct-to-participant (DTP) recruitment in the United States. To facilitate the assessment of DTP participants, we have developed the McLean-Stanford-Washington Eating Disorder (MSWED) questionnaire, a screening tool to identify lifetime diagnosis of eating disorders, which was initially validated in the Mexican clinically ascertained cohorts (N=350) and is currently undergoing validation against SCID-5 in the United States. The phenotypic analysis of prospectively recruited individuals in INP Mexico and US DTP is shown in this poster. Analyzed phenotypes include compulsive exercise (CET), disordered eating (EDE-Q), anxiety (GAD-7), depression (PHQ-7), obsessive-compulsive symptoms (OCI-R), and PTSD (PCL-5).

We have identified about 22,000 samples for sequencing, shown in TABLE 1, 977 of which have been received for sequencing and 807 of which have been sequenced so far. Extensive phenotypic data collected for Mexico (N=960) and US DTP (N=1,632). EDE-Q scores (FIGURE 1) and CET scores (FIGURE 2) show higher eating disorder related and compulsive exercise symptoms among individuals with reported eating or feeding disorder diagnoses compared to those without. Overall EDE-Q and CET scores were equivalent among individuals with a reported eating or feeding disorder diagnosis, regardless of the diagnosis. OCI-R score (FIGURE 3) did not substantially differ with respect to the eating or feeding disorder diagnosis status. Preliminary validation of MSWED resulted in high specificity (AN=0.93, BN=0.97) and lower sensitivity (AN=0.72, BN=0.51), as intended. Additional results for the entirety of phenotyping battery are available online via the QR code included at the bottom of this poster.

The Genetics of Eating Disorders study at the Broad Institute is currently undergoing active recruitment, phenotyping, and DNA sequencing of participants with eating disorders and controls.
Initial analyses of common and rare variants in cohorts where sequencing data are available are underway. We are expanding these cohorts with recruitment and genome sequencing of additional samples from ancestrally diverse clinically recruited and community-based participants.
MSWED validation suggests that it is highly specific, making it a valuable tool for identification of eating disorder cases for genetic research in community-based participants.

Additional information about this study and enrollment instructions are available at: https://www.broadinstitute.org/EDgenetics.

Table 1

Summaries of DNA sample collections and sequencing, excluding already sequenced samples from large biobanks (e.g., All of Us).

CohortNEstimatedNCollectedNSequenced
Finish Biobank, Finland4,616
Instituto Nacional de Psiquiatría, Mexico6,000422422
Careggi University Hospital, Italy2106060
Kings College London, UK5,000
Nationwide Children’s Hospital, USA1,0003737
MGB Biobank, USA500
MGB ED Study, USA500
Columbia University Medical Center, USA6464
University of Florida Health, USA95
Direct-to-Participant4,000394288

Figure 1: Eating Disorder Examination Questionnaire – Total Score

In linear models associating specific diagnoses with EDE-Q total scores, controlling for study arms and sex assigned at birth, we notice equivalent and significant effects across specific eating or feeding diagnoses on the EDE-Q total score. The models are broken down in the table below.

DiagnosisDiagnosisInterceptSex_MaleSource_DTP
Anorexia Nervosa21.28 (<0.001)17.49 (<0.001)-2.81 (<0.1)-11.23 (<0.001)
OSFED Anorexia Nervosa17.97 (<0.001)15.97 (<0.001)-3.06 (<0.05)-7.87 (<0.001)
Bulimia Nervosa24.54 (<0.001)18.80 (<0.001)-2.73 (<0.01)-13.96 (<0.001)
OSFED Bulimia Nervosa18.48 (<0.001)15.85 (<0.001)-2.65 (<0.05)-7.75 (<0.001)
Binge-Eating Disorder18.30 (<0.001)16.46 (<0.001)-2.79 (<0.05)-8.97 (<0.001)
OSFED Binge-Eating Disorder15.97 (<0.001)15.61 (<0.001)-3.32 (<0.05)-7.05 (<0.001)
OSFED Purging Disorder19.37 (<0.001)16.00 (<0.001)-3.22 (<0.05)-7.90 (<0.001)
OSFED Night Eating Syndrome20.20 (<0.001)15.60 (<0.001)-3.55 (<0.05)-6.99 (<0.001)
USFED18.76 (<0.001)16.47 (<0.001)-3.58 (<0.05)-8.77 (<0.001)
ARFID17.27 (<0.001)15.75 (<0.001)-3.57 (<0.05)-7.27 (<0.001)
Pica14.90 (<0.001)15.61 (<0.001)-3.32 (<0.05)-7.07 (<0.001)
Rumination Disorder17.10 (<0.001)15.56 (<0.001)-3.26 (<0.05)-6.97 (<0.001)
Numbers represent effect estimates (beta) and p-values shown in parentheses).

Figure S1: Eating Disorder Examination Questionnaire – Restraint

Unlike the EDE-Q total score, EDE-Q restraint score was only significantly associated with the intercept and specific eating or feeding disorder diagnosis for all diagnoses considered. Sex assigned at birth and study arms were not significantly associated with the EDE-Q restraint score in our multiple regression model.

Figure S2: Eating Disorder Examination Questionnaire – Eating Concern

Similarly to the EDE-Q total score, EDE-Q eating concern score was significantly associated with the intercept, sex assigned at birth, study arm, and specific eating or feeding disorder diagnosis for all diagnoses considered.

Figure S3: Eating Disorder Examination Questionnaire – Weight Concern

EDE-Q weight concern score was strongly associated with the intercept, diagnosis, and sex assigned at birth consistently across all specific eating or feeding disorder diagnoses considered.

Figure S4: Eating Disorder Examination Questionnaire – Shape Concern

EDE-Q shape concern score was strongly associated with the intercept, diagnosis, and sex assigned at birth consistently across all specific eating or feeding disorder diagnoses considered. In case of bulimia nervosa model, study arm was also significantly associated with EDE-Q shape concern score.

Figure 2: Compulsive Exercise Test – Total

In our multiple linear regression models, the CET total score was significantly associated with the intercept term and specific diagnoses. Additionally, the CET total score was also strongly associated with the study arm term, indicating DTP US individuals reporting an average of 12-point higher CET total score than the Mexican counterparts.

Figure S5: Compulsive Exercise Test – Avoidance and Rule-Driven Behavior

Figure S6: Compulsive Exercise Test – Weight Control Exercise

Figure S7: Compulsive Exercise Test – Mood Improvement

Figure S8: Compulsive Exercise Test – Lack of Exercise Enjoyment

Figure S9: Compulsive Exercise Test – Exercise Rigidity

Figure 3: Obsessive Compulsive Inventory Revised – Total Current

OCI-R current total score was only significantly associated with the intercept term. No significant associations between OCI-R current total score and specific eating or feeding disorder diagnosis, sex assigned at birth, or study arm were observed.

Figure S10: Obsessive Compulsive Inventory Revised – Total Lifetime

Figure S11: Generalized Anxiety Disorder – Current

Figure S12: Generalized Anxiety Disorder – Lifetime

Figure S13: Depression – Current

Figure S14: Depression – Lifetime

Figure S15: PTSD Checklist – Past Month

Figure S16: PTSD Checklist – Lifetime

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Franjo Ivankovic, PhD
Franjo Ivankovic, PhD

When I'm not focused on studying genetic underpinnings and phenotypic variability of psychiatric disorders, I love to read and write science fiction and fantasy, or explore one of the hundreds state and national parks in the United States. Some of those musings in academic, fictional, and recreational world make it to this blog.

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