Department of Economics and Business Economics

Polygenic association with severity and long-term outcome in eating disorder cases

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Polygenic association with severity and long-term outcome in eating disorder cases. / Johansson, Therese; Birgegård, Andreas; Zhang, Ruyue et al.

In: Translational Psychiatry, Vol. 12, No. 1, 61, 2022.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Johansson, T, Birgegård, A, Zhang, R, Bergen, SE, Landén, M, Petersen, LV, Bulik, CM & Hübel, C 2022, 'Polygenic association with severity and long-term outcome in eating disorder cases', Translational Psychiatry, vol. 12, no. 1, 61. https://doi.org/10.1038/s41398-022-01831-2

APA

Johansson, T., Birgegård, A., Zhang, R., Bergen, S. E., Landén, M., Petersen, L. V., Bulik, C. M., & Hübel, C. (2022). Polygenic association with severity and long-term outcome in eating disorder cases. Translational Psychiatry, 12(1), [61]. https://doi.org/10.1038/s41398-022-01831-2

CBE

Johansson T, Birgegård A, Zhang R, Bergen SE, Landén M, Petersen LV, Bulik CM, Hübel C. 2022. Polygenic association with severity and long-term outcome in eating disorder cases. Translational Psychiatry. 12(1):Article 61. https://doi.org/10.1038/s41398-022-01831-2

MLA

Vancouver

Johansson T, Birgegård A, Zhang R, Bergen SE, Landén M, Petersen LV et al. Polygenic association with severity and long-term outcome in eating disorder cases. Translational Psychiatry. 2022;12(1):61. doi: 10.1038/s41398-022-01831-2

Author

Johansson, Therese ; Birgegård, Andreas ; Zhang, Ruyue et al. / Polygenic association with severity and long-term outcome in eating disorder cases. In: Translational Psychiatry. 2022 ; Vol. 12, No. 1.

Bibtex

@article{e3a7002f3ad248e2b719d28e01e12601,
title = "Polygenic association with severity and long-term outcome in eating disorder cases",
abstract = "About 20% of individuals with anorexia nervosa (AN) remain chronically ill. Therefore, early identification of poor outcome could improve care. Genetic research has identified regions of the genome associated with AN. Patients with anorexia nervosa were identified via the Swedish eating disorder quality registers Stepwise and Riks{\"a}t and invited to participate in the Anorexia Nervosa Genetics Initiative. First, we associated genetic information longitudinally with eating disorder severity indexed by scores on the Clinical Impairment Assessment (CIA) in 2843 patients with lifetime AN with or without diagnostic migration to other forms of eating disorders followed for up to 16 years (mean = 5.3 years). Second, we indexed the development of a severe and enduring eating disorder (SEED) by a high CIA score plus a follow-up time ≥5 years. We associated individual polygenic scores (PGSs) indexing polygenic liability for AN, schizophrenia, and body mass index (BMI) with severity and SEED. After multiple testing correction, only the BMI PGS when calculated with traditional clumping and p value thresholding was robustly associated with disorder severity (β PGS  = 1.30; 95% CI: 0.72, 1.88; p = 1.2 × 10 -5) across all p value thresholds at which we generated the PGS. However, using the alternative PGS calculation method PRS-CS yielded inconsistent results for all PGS. The positive association stands in contrast to the negative genetic correlation between BMI and AN. Larger discovery GWASs to calculate PGS will increase power, and it is essential to increase sample sizes of the AN GWASs to generate clinically meaningful PGS as adjunct risk prediction variables. Nevertheless, this study provides the first evidence of potential clinical utility of PGSs for eating disorders. ",
keywords = "ENDURING ANOREXIA-NERVOSA, FOLLOW-UP, GENETIC CORRELATIONS, GENOME-WIDE ASSOCIATION, INPATIENT, MASS INDEX, PERCENT BODY-FAT, RECOVERY, RISK-FACTOR, SCHIZOPHRENIA",
author = "Therese Johansson and Andreas Birgeg{\aa}rd and Ruyue Zhang and Bergen, {Sarah E} and Mikael Land{\'e}n and Petersen, {Liselotte V} and Bulik, {Cynthia M} and Christopher H{\"u}bel",
note = "{\textcopyright} 2022. The Author(s).",
year = "2022",
doi = "10.1038/s41398-022-01831-2",
language = "English",
volume = "12",
journal = "Translational Psychiatry",
issn = "2158-3188",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Polygenic association with severity and long-term outcome in eating disorder cases

AU - Johansson, Therese

AU - Birgegård, Andreas

AU - Zhang, Ruyue

AU - Bergen, Sarah E

AU - Landén, Mikael

AU - Petersen, Liselotte V

AU - Bulik, Cynthia M

AU - Hübel, Christopher

N1 - © 2022. The Author(s).

PY - 2022

Y1 - 2022

N2 - About 20% of individuals with anorexia nervosa (AN) remain chronically ill. Therefore, early identification of poor outcome could improve care. Genetic research has identified regions of the genome associated with AN. Patients with anorexia nervosa were identified via the Swedish eating disorder quality registers Stepwise and Riksät and invited to participate in the Anorexia Nervosa Genetics Initiative. First, we associated genetic information longitudinally with eating disorder severity indexed by scores on the Clinical Impairment Assessment (CIA) in 2843 patients with lifetime AN with or without diagnostic migration to other forms of eating disorders followed for up to 16 years (mean = 5.3 years). Second, we indexed the development of a severe and enduring eating disorder (SEED) by a high CIA score plus a follow-up time ≥5 years. We associated individual polygenic scores (PGSs) indexing polygenic liability for AN, schizophrenia, and body mass index (BMI) with severity and SEED. After multiple testing correction, only the BMI PGS when calculated with traditional clumping and p value thresholding was robustly associated with disorder severity (β PGS  = 1.30; 95% CI: 0.72, 1.88; p = 1.2 × 10 -5) across all p value thresholds at which we generated the PGS. However, using the alternative PGS calculation method PRS-CS yielded inconsistent results for all PGS. The positive association stands in contrast to the negative genetic correlation between BMI and AN. Larger discovery GWASs to calculate PGS will increase power, and it is essential to increase sample sizes of the AN GWASs to generate clinically meaningful PGS as adjunct risk prediction variables. Nevertheless, this study provides the first evidence of potential clinical utility of PGSs for eating disorders.

AB - About 20% of individuals with anorexia nervosa (AN) remain chronically ill. Therefore, early identification of poor outcome could improve care. Genetic research has identified regions of the genome associated with AN. Patients with anorexia nervosa were identified via the Swedish eating disorder quality registers Stepwise and Riksät and invited to participate in the Anorexia Nervosa Genetics Initiative. First, we associated genetic information longitudinally with eating disorder severity indexed by scores on the Clinical Impairment Assessment (CIA) in 2843 patients with lifetime AN with or without diagnostic migration to other forms of eating disorders followed for up to 16 years (mean = 5.3 years). Second, we indexed the development of a severe and enduring eating disorder (SEED) by a high CIA score plus a follow-up time ≥5 years. We associated individual polygenic scores (PGSs) indexing polygenic liability for AN, schizophrenia, and body mass index (BMI) with severity and SEED. After multiple testing correction, only the BMI PGS when calculated with traditional clumping and p value thresholding was robustly associated with disorder severity (β PGS  = 1.30; 95% CI: 0.72, 1.88; p = 1.2 × 10 -5) across all p value thresholds at which we generated the PGS. However, using the alternative PGS calculation method PRS-CS yielded inconsistent results for all PGS. The positive association stands in contrast to the negative genetic correlation between BMI and AN. Larger discovery GWASs to calculate PGS will increase power, and it is essential to increase sample sizes of the AN GWASs to generate clinically meaningful PGS as adjunct risk prediction variables. Nevertheless, this study provides the first evidence of potential clinical utility of PGSs for eating disorders.

KW - ENDURING ANOREXIA-NERVOSA

KW - FOLLOW-UP

KW - GENETIC CORRELATIONS

KW - GENOME-WIDE ASSOCIATION

KW - INPATIENT

KW - MASS INDEX

KW - PERCENT BODY-FAT

KW - RECOVERY

KW - RISK-FACTOR

KW - SCHIZOPHRENIA

U2 - 10.1038/s41398-022-01831-2

DO - 10.1038/s41398-022-01831-2

M3 - Journal article

C2 - 35173158

VL - 12

JO - Translational Psychiatry

JF - Translational Psychiatry

SN - 2158-3188

IS - 1

M1 - 61

ER -