Huang, L. ; Tang, S.* ; Rietkerk, J. ; Appadurai, V.* ; Krebs, M.D.* ; Schork, A.J.* ; Werge, T.* ; Zuber, V.* ; Kendler, K.* ; Cai, N.
Polygenic analyses show important differences between MDD symptoms collected using PHQ9 and CIDI-SF.
Biol. Psychiatry 95, 1110-1121 (2023)
BACKGROUND: Symptoms of Major Depressive Disorder (MDD) are commonly assessed using self-rating instruments like the Patient Health Questionnaire 9 (PHQ9, current symptoms), and the Composite International Diagnostic Interview Short-Form (CIDI-SF, worst-episode symptoms). We perform a systematic comparison between them for their genetics and utility in investigating MDD heterogeneity. METHODS: Using data from the UKBiobank (N = 41948 - 109417), we assess the SNP heritability (h2) and genetic correlation (rG) of both sets of MDD symptoms. We further compare their rG with non-MDD traits, and use Mendelian Randomization (MR) to assess if either set of symptoms have more genetic sharing with non-MDD traits. We further assess how specific each set of symptoms is to MDD, using the metric PRS Pleiotropy. Finally, we use Genomic SEM to identify factors explaining the genetic covariance between each set of symptoms. RESULTS: Corresponding symptoms endorsed through PHQ9 and CIDI-SF have low to moderate genetic correlations (rG=0.43-0.87), and this cannot be fully attributed to different severity thresholds or the use of a skip-structure in CIDI-SF. Both MR and PRS Pleiotropy analyses show that PHQ9 symptoms are more associated with traits which reflect general dysphoria, while the skip-structure in CIDI-SF allows for the identification of heterogeneity among likely MDD cases. Finally, the two sets of symptoms show different factor structures in Genomic SEM, reflective of their genetic differences. CONCLUSIONS: MDD symptoms assessed via the PHQ9 and CIDI-SF are not interchangeable: the former better indexes general dysphoria, while the latter is more informative of within-MDD heterogeneity.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Depression ; Gwas ; Factor Analysis ; Genetics ; Heterogeneity ; Symptoms; Stressful Life Events; Mendelian Randomization
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2023
Prepublished im Jahr
0
HGF-Berichtsjahr
2023
ISSN (print) / ISBN
0006-3223
e-ISSN
1873-2402
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 95,
Heft: 12,
Seiten: 1110-1121
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Elsevier
Verlagsort
Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Helmholtz Pioneer Campus (HPC)
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Pioneer Campus
PSP-Element(e)
G-510007-001
Förderungen
Statistics Denmark
Danish Data Protection Agency
Copyright
Erfassungsdatum
2023-12-20