Genomics Research of Lifetime Depression in the Netherlands : The BIObanks Netherlands Internet Collaboration (BIONIC) Project
In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) lifetime MDD diagnosis in 132,850 Dutch individuals. Currently, N = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data. We initiated this project because the complex genetic basis of MDD requires large population-wide studies with uniform in-depth phenotyping. For standardized phenotyping we developed the LIDAS (LIfetime Depression Assessment Survey), which then was used to measure MDD in 11 Dutch cohorts. Data from these cohorts were combined with diagnostic interview depression data from 5 clinical cohorts to create a dataset of N = 29,650 lifetime MDD cases (22%) meeting DSM-5 criteria and 94,300 screened controls. In addition, genomewide genotype data from the cohorts were assembled into a genomewide association study (GWAS) dataset of N = 66,684 Dutch individuals (25.3% cases). Phenotype data include DSM-5-based MDD diagnoses, sociodemographic variables, information on lifestyle and BMI, characteristics of depressive symptoms and episodes, and psychiatric diagnosis and treatment history. We describe the establishment and harmonization of the BIONIC phenotype and GWAS datasets and provide an overview of the available information and sample characteristics. Our next step is the GWAS of lifetime MDD in the Netherlands, with future plans including fine-grained genetic analyses of depression characteristics, international collaborations and multi-omics studies.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Twin research and human genetics : the official journal of the International Society for Twin Studies - (2024) vom: 18. März, Seite 1-11 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Huider, Floris [VerfasserIn] |
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| Links: |
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| Themen: |
Cohort description paper |
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| Anmerkungen: |
Date Revised 18.03.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1017/thg.2024.4 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM369867890 |
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| 520 | |a In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) lifetime MDD diagnosis in 132,850 Dutch individuals. Currently, N = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data. We initiated this project because the complex genetic basis of MDD requires large population-wide studies with uniform in-depth phenotyping. For standardized phenotyping we developed the LIDAS (LIfetime Depression Assessment Survey), which then was used to measure MDD in 11 Dutch cohorts. Data from these cohorts were combined with diagnostic interview depression data from 5 clinical cohorts to create a dataset of N = 29,650 lifetime MDD cases (22%) meeting DSM-5 criteria and 94,300 screened controls. In addition, genomewide genotype data from the cohorts were assembled into a genomewide association study (GWAS) dataset of N = 66,684 Dutch individuals (25.3% cases). Phenotype data include DSM-5-based MDD diagnoses, sociodemographic variables, information on lifestyle and BMI, characteristics of depressive symptoms and episodes, and psychiatric diagnosis and treatment history. We describe the establishment and harmonization of the BIONIC phenotype and GWAS datasets and provide an overview of the available information and sample characteristics. Our next step is the GWAS of lifetime MDD in the Netherlands, with future plans including fine-grained genetic analyses of depression characteristics, international collaborations and multi-omics studies | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Milaneschi, Yuri |e verfasserin |4 aut | |
| 700 | 1 | |a Hottenga, Jouke-Jan |e verfasserin |4 aut | |
| 700 | 1 | |a Bot, Mariska |e verfasserin |4 aut | |
| 700 | 1 | |a Rietman, M Liset |e verfasserin |4 aut | |
| 700 | 1 | |a Kok, Almar A L |e verfasserin |4 aut | |
| 700 | 1 | |a Galesloot, Tessel E |e verfasserin |4 aut | |
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| 700 | 1 | |a Rutters, Femke |e verfasserin |4 aut | |
| 700 | 1 | |a Blom, Marieke T |e verfasserin |4 aut | |
| 700 | 1 | |a Rhebergen, Didi |e verfasserin |4 aut | |
| 700 | 1 | |a Visser, Marjolein |e verfasserin |4 aut | |
| 700 | 1 | |a Brouwer, Ingeborg |e verfasserin |4 aut | |
| 700 | 1 | |a Feskens, Edith |e verfasserin |4 aut | |
| 700 | 1 | |a Hartman, Catharina A |e verfasserin |4 aut | |
| 700 | 1 | |a Oldehinkel, Albertine J |e verfasserin |4 aut | |
| 700 | 1 | |a de Geus, Eco J C |e verfasserin |4 aut | |
| 700 | 1 | |a Kiemeney, Lambertus A |e verfasserin |4 aut | |
| 700 | 1 | |a Huisman, Martijn |e verfasserin |4 aut | |
| 700 | 1 | |a Picavet, H Susan J |e verfasserin |4 aut | |
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