Originalartikel | erschienen - Druck | peer reviewed
Genetic, psychosocial and clinical factors associated with hippocampal volume in the general population.
Translational Psychiatry
2014 ;
4:
e465 -
Bibliometric indicators
Impact Factor = 5.62
Citations (WOS) = 16
DOI = 10.1038/tp.2014.102
PubMed-ID = 25313508
Authors
Janowitz D*1, Schwahn C2, Borchardt U1, Wittfeld K3, Schulz A1, Barnow S, Biffar R2, Hoffmann W3,4, Habes M4, Homuth G5, Nauck M6, Hegenscheid K7, Lotze M7, Völzke H8, Freyberger H1, Debette S, Grabe H1,3
Affiliations
1 - Klinik und Poliklinik für Psychiatrie und Psychotherapie
2 - Zentrum für Zahn-, Mund- und Kieferheilkunde
3 - Deutsches Zentrum für Neurodegenerative Erkrankungen Rostock / Greifswald Teilstandort Greifswald
4 - Institut für Community Medicine / Abt. Versorgungsepidemiologie und Community Health
5 - Interfakultäres Institut für Genetik und Funktionelle Genomforschung / Abt. Funktionelle Genomforschung
6 - Institut für Klinische Chemie und Laboratoriumsmedizin
7 - Zentrum für Radiologie / Institut für Diagnostische Radiologie und Neuroradiologie
8 - Institut für Community Medicine / Abt. SHIP KEF
Zentrum für Zahn-, Mund- und Kieferheilkunde / Poliklinik für Zahnärztliche Prothetik, Alterszahnheilkunde und Medizinische Werkstoffkunde
Abstract
The hippocampus--crucial for memory formation, recall and mood regulation--is involved in the pathophysiology of dementia and depressive disorders. Recent genome-wide association studies (GWAS) have identified five genetic loci associated with hippocampal volume (HV). Previous studies have described psychosocial and clinical factors (for example, smoking, type 2 diabetes and hypertension) to have an impact on HV. However, the interplay between genetic, psychosocial and clinical factors on the HV remains unclear. Still, it is likely that genetic variants and clinical or psychosocial factors jointly act in modifying HV; it might be possible they even interact. Knowledge of these factors might help to quantify ones individual risk of or rather resilience against HV loss. We investigated subjects (N=2463; 55.7% women; mean age 53 years) from the Study of Health in Pomerania (SHIP-2; SHIP-TREND-0) who underwent whole-body magnetic resonance imaging (MRI) and genotyping. HVs were estimated with FreeSurfer. For optimal nonlinear model fitting, we used regression analyses with restricted cubic splines. Genetic variants and associated psychosocial or clinical factors were jointly assessed for potential two-way interactions. We observed associations between HV and gender (P<0.0001), age (P<0.0001), body height (P<0.0001), education (P=0.0053), smoking (P=0.0058), diastolic blood pressure (P=0.0211), rs7294919 (P=0.0065), rs17178006 (P=0.0002), rs6581612 (P=0.0036), rs6741949 (P=0.0112) and rs7852872 (P=0.0451). In addition, we found three significant interactions: between rs7294919 and smoking (P=0.0473), rs7294919 and diastolic blood pressure (P=0.0447) and between rs7852872 and rs6581612 (P=0.0114). We suggest that these factors might have a role in the individual susceptibility to hippocampus-associated disorders.
Published in
Translational Psychiatry
| Year | 2014 |
| Impact Factor (2014) | 5.62 |
| Volume | 4 |
| Issue | |
| Pages | e465 - |
| Open Access | nein |
| Peer reviewed | ja |
| Article type | Originalartikel |
| Article state | erschienen - Druck |
| DOI | 10.1038/tp.2014.102 |
| PubMed-ID | 25313508 |
Common journal data
Short name: TRANSL PSYCHIAT
ISSN: 2158-3188
eISSN: 2158-3188
Country: ENGLAND
Language: English
Categories:
Impact factor trend
ISSN: 2158-3188
eISSN: 2158-3188
Country: ENGLAND
Language: English
Categories:
- PSYCHIATRY
- CLINICAL NEUROLOGY
Impact factor trend
| Year | Impact Factor |
|---|---|
| 2013 | 4.36 |
| 2014 | 5.62 |
| 2015 | 5.538 |
| 2016 | 4.73 |
| 2017 | 4.691 |
| 2018 | 5.182 |
| 2019 | 5.28 |
| 2020 | 6.222 |
| 2021 | 7.989 |
| 2022 | 6.8 |
| 2023 | 5.8 |
| 2024 | 6.2 |
Departments
Community Medicine
Projects
GANI_MED Teilprojekt PB2 4: Kohorte 4 - Komorbiditäten beim Metabolischen Syndrom
Integrated Understanding of Causes and Mechanisms in Mental Disorders - Genetic Risc Scoring in Psychiatric Disorders
Integrated Understanding of Causes and Mechanisms in Mental Disorders - Genetic Risc Scoring in Psychiatric Disorders

