Genetic epidemiology of major depression: review and meta-analysis.
paper
Cited
Public
Unavailable
- Authors
- Sullivan, P F; Neale, M C; Kendler, K S
- Year
- 2000
- Journal
- The American journal of psychiatry
- PMID
- 11007705
- DOI
- 10.1176/appi.ajp.157.10.1552
OBJECTIVE: The authors conducted a meta-analysis of relevant data from primary studies of the genetic epidemiology of major depression. METHOD: The authors searched MEDLINE and the reference lists of previous review articles to identify relevant primary studies. On the basis of a review of family, adoption, and twin studies that met specific inclusion criteria, the authors derived quantitative summary statistics. RESULTS: Five family studies met the inclusion criteria. The odds ratios for proband (subjects with major depression or comparison subjects) versus first-degree relative status (affected or unaffected with major depression) were homogeneous across the five studies (Mantel-Haenszel odds ratio=2.84, 95% CI=2.31-3.49). No adoption study met the inclusion criteria, but the results of two of the three reports were consistent with genetic influences on liability to major depression. Five twin studies met the inclusion criteria, and their statistical summation suggested that familial aggregation was due to additive genetic effects (point estimate of heritability of liability=37%, 95% CI=31%-42%), with a minimal contribution of environmental effects common to siblings (point estimate=0%, 95% CI=0%-5%), and substantial individual-specific environmental effects/measurement error (point estimate=63%, 95% CI=58%-67%). The literature suggests that recurrence best predicts the familial aggregation of major depression. CONCLUSIONS: Major depression is a familial disorder, and its familiality mostly or entirely results from genetic influences. Environmental influences specific to an individual are also etiologically significant. Major depression is a complex disorder that does not result from either genetic or environmental influences alone but rather from both. These findings are notably consistent across samples and methods and are likely to be generally applicable.
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| Polygenic Liability to Depression Is Associated With Multiple Medical Conditions in the Electronic Health Record: Phenome-wide Association Study of 46,782 Individuals. | Fang Y et al. | — | 2022 | → |
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| Structural MRI at 7T reveals amygdala nuclei and hippocampal subfield volumetric association with Major Depressive Disorder symptom severity. | Brown SSG et al. | — | 2019 | → |
| Temporal trends of co-diagnosis of depression and/or anxiety among female maternal and non-maternal hospitalizations: Results from Nationwide Inpatient Sample 2004-2013. | Pino EC et al. | — | 2019 | → |
| The association between emotional eating and depressive symptoms: a population-based twin study in Sri Lanka. | Herle MP et al. | — | 2019 | → |
| The association of depression and anxiety with cardiac autonomic activity: The role of confounding effects of antidepressants. | Hu MX et al. | — | 2019 | → |
| The association of obesity and coronary artery disease genes with response to SSRIs treatment in major depression. | Amare AT et al. | — | 2019 | → |
| The depression GWAS risk allele predicts smaller cerebellar gray matter volume and reduced SIRT1 mRNA expression in Chinese population. | Liu W et al. | — | 2019 | → |
| The effect of different partitions of seaweed Sargassum plagyophylum on depression behavior in mice model of despair. | Mesripour A et al. | — | 2019 | → |
| The Genetic Links to Anxiety and Depression (GLAD) Study: Online recruitment into the largest recontactable study of depression and anxiety. | Davies MR et al. | — | 2019 | → |
| The genetics of neuropsychiatric disorders. | Bray NJ et al. | — | 2019 | → |
| The Interaction of TPH2 and 5-HT2A Polymorphisms on Major Depressive Disorder Susceptibility in a Chinese Han Population: A Case-Control Study. | Yang J et al. | — | 2019 | → |
| The involvement of sleep in the relationship between the serotonin transporter gene-linked polymorphic region (5-HTTLPR) and depression: A systematic review. | van Dalfsen JH et al. | — | 2019 | → |
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| The UKB envirome of depression: from interactions to synergistic effects. | Hullam G et al. | — | 2019 | → |
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| Unraveling the epigenetic landscape of depression: focus on early life stress . | Torres-Berrío A et al. | — | 2019 | → |
| Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies. | Schwabe I et al. | — | 2019 | → |
| White Matter Microstructure and Its Relation to Longitudinal Measures of Depressive Symptoms in Mid- and Late Life. | Shen X et al. | — | 2019 | → |
| Whole-cortex mapping of common genetic influences on depression and a social deficits dimension. | Hatoum AS et al. | — | 2019 | → |
| A comprehensive review of genetic and epigenetic mechanisms that regulate BDNF expression and function with relevance to major depressive disorder. | Hing B et al. | — | 2018 | → |
| A direct test of the diathesis-stress model for depression. | Colodro-Conde L et al. | — | 2018 | → |
| A Family Study of the <i>DSM-5</i> Section III Personality Pathology Model Using the Personality Inventory for the <i>DSM-5</i> (PID-5). | Katz AC et al. | — | 2018 | → |
| A Functional Polymorphism in the DRD1 Gene, That Modulates Its Regulation by miR-504, Is Associated with Depressive Symptoms. | Jiménez KM et al. | — | 2018 | → |
| An epigenome-wide methylation study of healthy individuals with or without depressive symptoms. | Shimada M et al. | — | 2018 | → |
| Are Schemas Passed on? A Study on the Association Between Early Maladaptive Schemas in Parents and Their Offspring and the Putative Translating Mechanisms. | Sundag J et al. | — | 2018 | → |
| Association between NR3C1 rs41423247 polymorphism and depression: A PRISMA-compliant meta-analysis. | Peng Q et al. | — | 2018 | → |
| Association between T-182C, G1287A polymorphism in NET gene and suicidality in major depressive disorder in Chinese patients. | Cao SX et al. | — | 2018 | → |
| Association of copy number variation across the genome with neuropsychiatric traits in the general population. | Guyatt AL et al. | — | 2018 | → |
| Associations of Smoking, Physical Inactivity, Heavy Drinking, and Obesity with Quality-Adjusted Life Expectancy among US Adults with Depression. | Jia H et al. | — | 2018 | → |
| A Study of Depression, Externalizing, and Internalizing Behaviors among Adolescents Living in Institutional Homes. | Vinnakota A et al. | — | 2018 | → |
| BDNF Val66Met polymorphism, life stress and depression: A meta-analysis of gene-environment interaction. | Zhao M et al. | — | 2018 | → |
| Clinical Characteristics, Life Adversities and Personality Traits in Monozygotic Twins With, at Risk of and Without Affective Disorders. | Ottesen NM et al. | — | 2018 | → |
| Cognitive Reappraisal and Depression in Children with a Parent History of Depression. | Kudinova AY et al. | — | 2018 | → |
| Cortisol, Testosterone, and Prospective Risk for War-zone Stress-Evoked Depression. | Cobb AR et al. | — | 2018 | → |
| Course of recurrent depression in monozygotic twins - A case report. | Vengadavaradan A et al. | — | 2018 | → |
| D allele of insertion/deletion polymorphism at angiotensin-converting enzyme gene is associated with reduced prevalence and severity of depression among Chinese adolescents at early stage after Wenchuan earthquake. | Fan M et al. | — | 2018 | → |
| Depression. | Malhi GS et al. | — | 2018 | → |
| Depression During and After the Perimenopause: Impact of Hormones, Genetics, and Environmental Determinants of Disease. | Bromberger JT et al. | — | 2018 | → |
| Depression, Olfaction, and Quality of Life: A Mutual Relationship. | Rochet M et al. | — | 2018 | → |
| Diagnosis and Management of Anxiety Disorders. | Giacobbe P et al. | — | 2018 | → |
| Differential impact of <i>Met</i> receptor gene interaction with early-life stress on neuronal morphology and behavior in mice. | Heun-Johnson H et al. | — | 2018 | → |
| Effect of chronic corticosterone-induced depression on circadian rhythms and age-related phenotypes in mice. | Ma L et al. | — | 2018 | → |
| Epigenetic mechanisms of major depression: Targeting neuronal plasticity. | Uchida S et al. | — | 2018 | → |
| Familial aggregation of major depressive disorder in an African-American community. | Murphy E et al. | — | 2018 | → |
| Familiality of Psychiatric Disorders and Risk of Postpartum Psychiatric Episodes: A Population-Based Cohort Study. | Bauer AE et al. | — | 2018 | → |
| Family History as an Important Factor for Stratifying Participants in Genetic Studies of Major Depression. | Zalar B et al. | — | 2018 | → |
| FoxO1, A2M, and TGF-β1: three novel genes predicting depression in gene X environment interactions are identified using cross-species and cross-tissues transcriptomic and miRNomic analyses. | Cattaneo A et al. | — | 2018 | → |
| Gene-environment interaction and psychiatric disorders: Review and future directions. | Assary E et al. | — | 2018 | → |
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| Genetic and environmental influences on internalizing psychopathology across age and pubertal development. | Patterson MW et al. | — | 2018 | → |
| Genetic and environmental influences to low back pain and symptoms of depression and anxiety: A population-based twin study. | Pinheiro MB et al. | — | 2018 | → |
| Genetic risk of major depressive disorder: the moderating and mediating effects of neuroticism and psychological resilience on clinical and self-reported depression. | Navrady LB et al. | — | 2018 | → |
| Genetics Factors in Major Depression Disease. | Shadrina M et al. | — | 2018 | → |
| Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. | Wray NR et al. | — | 2018 | → |
| Genome-wide association studies of placebo and duloxetine response in major depressive disorder. | Maciukiewicz M et al. | — | 2018 | → |
| Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. | Howard DM et al. | — | 2018 | → |
| Genome-wide association study of depressive symptoms in the Hispanic Community Health Study/Study of Latinos. | Dunn EC et al. | — | 2018 | → |
| Genome-wide interaction study of a proxy for stress-sensitivity and its prediction of major depressive disorder. | Arnau-Soler A et al. | — | 2018 | → |
| Genome-wide scan of depressive symptomatology in two representative cohorts in the United States and the United Kingdom. | Mekli K et al. | — | 2018 | → |
| Heterogeneous stock rats: a model to study the genetics of despair-like behavior in adolescence. | Holl K et al. | — | 2018 | → |
| Hippocampal shape alterations in healthy young women with familial risk for unipolar depression. | Durmusoglu E et al. | — | 2018 | → |
| Imaging genetics paradigms in depression research: Systematic review and meta-analysis. | Pereira LP et al. | — | 2018 | → |
| In Silico Preliminary Association of Ammonia Metabolism Genes GLS, CPS1, and GLUL with Risk of Alzheimer's Disease, Major Depressive Disorder, and Type 2 Diabetes. | Griffin JWD et al. | — | 2018 | → |
| Interaction between childhood maltreatment on immunogenetic risk in depression: Discovery and replication in clinical case-control samples. | Cohen-Woods S et al. | — | 2018 | → |
| Intergenerational Continuity in Depression: The Importance of Time-Varying Effects, Maternal Co-morbid Health Risk Behaviors and Child's Gender. | Augustyn MB et al. | — | 2018 | → |
| Investigation of serum levels of sortilin in response to antidepressant treatment. | Buttenschøn HN et al. | — | 2018 | → |
| Is familial risk for depression confounded by individual and familial socioeconomic factors and neighborhood environmental factors? A 7-year follow-up study in Sweden. | Hamano T et al. | — | 2018 | → |
| <i>VRK2</i>, a Candidate Gene for Psychiatric and Neurological Disorders. | Li M et al. | — | 2018 | → |
| Lingual Gyrus Surface Area Is Associated with Anxiety-Depression Severity in Young Adults: A Genetic Clustering Approach. | Couvy-Duchesne B et al. | — | 2018 | → |
| Longitudinal Relations Between Depressive Symptoms and Executive Functions From Adolescence to Early Adulthood: A Twin Study. | Friedman NP et al. | — | 2018 | → |
| Low-frequency and rare variants may contribute to elucidate the genetics of major depressive disorder. | Yu C et al. | — | 2018 | → |
| Meta-analysis on the Association Between Norepinephrine Transporter Gene rs2242446, rs5569 Polymorphisms and Risk of Major Depressive Disorder. | Rui H et al. | — | 2018 | → |
| Molecular Genetic Analysis Subdivided by Adversity Exposure Suggests Etiologic Heterogeneity in Major Depression. | Peterson RE et al. | — | 2018 | → |
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| Neuropeptide and Small Transmitter Coexistence: Fundamental Studies and Relevance to Mental Illness. | Hökfelt T et al. | — | 2018 | → |
| Nuancing the role of social skills- a longitudinal study of early maternal psychological distress and adolescent depressive symptoms. | Nilsen W et al. | — | 2018 | → |
| Offspring of parents with mood disorders: time for more transgenerational research, screening and preventive intervention for this high-risk population. | Maciejewski D et al. | — | 2018 | → |
| Outcomes of early parent-child adrenocortical attunement in the high-risk offspring of depressed parents. | Merwin SM et al. | — | 2018 | → |
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| Phenotypic heterogeneity in m.3243A>G mitochondrial disease: The role of nuclear factors. | Pickett SJ et al. | — | 2018 | → |
| Positive allosteric modulation of M<sub>1</sub> and M<sub>4</sub> muscarinic receptors as potential therapeutic treatments for schizophrenia. | Yohn SE et al. | — | 2018 | → |
| Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps. | Dick DM et al. | — | 2018 | → |
| PPD ACT: an app-based genetic study of postpartum depression. | Guintivano J et al. | — | 2018 | → |
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| Sample Size for Successful Genome-Wide Association Study of Major Depressive Disorder. | Nishino J et al. | — | 2018 | → |
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| Sources of Parent-Offspring Resemblance for Major Depression in a National Swedish Extended Adoption Study. | Kendler KS et al. | — | 2018 | → |
| Subsyndromal Manifestations of Depression in Children Predict the Development of Major Depression. | Uchida M et al. | — | 2018 | → |
| Taking on the stress-depression link: Meaning as a resource in adolescence. | Dulaney ES et al. | — | 2018 | → |
| The effect of intracerebroventricular allopregnanolone on depressive-like behaviors of rats selectively bred for high and low immobility in the forced swim test. | Almeida FB et al. | — | 2018 | → |
| The functional variant rs334558 of <i>GSK3B</i> is associated with remission in patients with depressive disorders. | Levchenko A et al. | — | 2018 | → |
| The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder. | Xiao X et al. | — | 2018 | → |
| The Genetic Epidemiology of Treated Major Depression in Sweden. | Kendler KS et al. | — | 2018 | → |
| The Genetic Relationship Between Psychological Distress, Somatic Distress, Affective Disorders, and Substance Use in Young Australian Adults: A Multivariate Twin Study. | Chang LH et al. | — | 2018 | → |
| The GWAS Risk Genes for Depression May Be Actively Involved in Alzheimer's Disease. | Ni H et al. | — | 2018 | → |
| The importance of manager support for the mental health and well-being of ambulance personnel. | Petrie K et al. | — | 2018 | → |
| The Need to Separate Chronic Traumatic Encephalopathy Neuropathology from Clinical Features. | Iverson GL et al. | — | 2018 | → |
| The P2RX7 polymorphism rs2230912 is associated with depression: A meta-analysis. | Czamara D et al. | — | 2018 | → |
| The paradox of intelligence: Heritability and malleability coexist in hidden gene-environment interplay. | Sauce B et al. | — | 2018 | → |
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| Trends in depression prevalence in the USA from 2005 to 2015: widening disparities in vulnerable groups. | Weinberger AH et al. | — | 2018 | → |
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| Variation in somatic symptoms by patient health questionnaire-9 depression scores in a representative Japanese sample. | Hoshino E et al. | — | 2018 | → |
| A continuum of genetic liability for minor and major depression. | Corfield EC et al. | — | 2017 | → |
| Association studies of genetic scores of serum vitamin B12 and folate levels with symptoms of depression and anxiety in two danish population studies. | Møllehave LT et al. | — | 2017 | → |
| BDNF Val66Met and childhood adversity on response to physical exercise and internet-based cognitive behavioural therapy in depressed Swedish adults. | Rahman MS et al. | — | 2017 | → |
| Brain-Derived Neurotrophic Factor and Major Depressive Disorder: Evidence from Meta-Analyses. | Kishi T et al. | — | 2017 | → |
| Common adult psychiatric disorders in Swedish primary care where most mental health patients are treated. | Sundquist J et al. | — | 2017 | → |
| Common variants at 2q11.2, 8q21.3, and 11q13.2 are associated with major mood disorders. | Xiao X et al. | — | 2017 | → |
| DNA N6-methyladenine is dynamically regulated in the mouse brain following environmental stress. | Yao B et al. | — | 2017 | → |
| Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766). | Wigmore EM et al. | — | 2017 | → |
| Electrophysiological and microstructural features of sleep in children at high risk for depression: a preliminary study. | Sesso G et al. | — | 2017 | → |
| Expert and self-assessment of lifetime symptoms and diagnosis of major depressive disorder in large-scale genetic studies in the general population: comparison of a clinical interview and a self-administered checklist. | Martin J et al. | — | 2017 | → |
| Genetic and Environmental Influences on Sleep, Pain, and Depression Symptoms in a Community Sample of Twins. | Gasperi M et al. | — | 2017 | → |
| Genetic and Environmental Relationships Between Depressive and Anxiety Symptoms and Cardiovascular Risk Estimates Among Korean Twins and Families. | Song YM et al. | — | 2017 | → |
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| Genetics of Depression: Progress at Last. | Mullins N et al. | — | 2017 | → |
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| Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK Biobank. | Howard DM et al. | — | 2017 | → |
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| Interplay between children's biobehavioral plasticity and interparental relationship in the origins of internalizing problems. | Brock RL et al. | — | 2017 | → |
| Investigating the relationship between iron and depression. | Mills NT et al. | — | 2017 | → |
| Mediating Role of the Reward Network in the Relationship between the Dopamine Multilocus Genetic Profile and Depression. | Gong L et al. | — | 2017 | → |
| Microglia: An Interface between the Loss of Neuroplasticity and Depression. | Singhal G et al. | — | 2017 | → |
| Multimorbidity and depression: A systematic review and meta-analysis. | Read JR et al. | — | 2017 | → |
| Nonlinear modulation of interacting between COMT and depression on brain function. | Gong L et al. | — | 2017 | → |
| Pharmacogenomics in the treatment of mood disorders: Strategies and Opportunities for personalized psychiatry. | Amare AT et al. | — | 2017 | → |
| Polygenic risk for depression and the neural correlates of working memory in healthy subjects. | Yüksel D et al. | — | 2017 | → |
| Selective Serotonin Reuptake Inhibitors for Treating Neurocognitive and Neuropsychiatric Disorders Following Traumatic Brain Injury: An Evaluation of Current Evidence. | Yue JK et al. | — | 2017 | → |
| Significant Need for a French Network of Expert Centers Enabling a Better Characterization and Management of Treatment-Resistant Depression (Fondation FondaMental). | Yrondi A et al. | — | 2017 | → |
| Social support and mental health in late adolescence are correlated for genetic, as well as environmental, reasons. | Wang RAH et al. | — | 2017 | → |
| Stability and change in etiological factors for alcohol use disorder and major depression. | Torvik FA et al. | — | 2017 | → |
| Symptoms of Depression and Risk of Low Back Pain: A Prospective Co-Twin Study. | Pinheiro MB et al. | — | 2017 | → |
| The clinical features of alcohol use disorders in biological and step-fathers that predict risk for alcohol use disorders in offspring. | Kendler KS et al. | — | 2017 | → |
| The CogBIAS longitudinal study protocol: cognitive and genetic factors influencing psychological functioning in adolescence. | Booth C et al. | — | 2017 | → |
| The influence of the rs6295 gene polymorphism on serotonin-1A receptor distribution investigated with PET in patients with major depression applying machine learning. | Kautzky A et al. | — | 2017 | → |
| The Relationship Between Mental Health, Disease Severity, and Genetic Risk for Depression in Early Rheumatoid Arthritis. | Euesden J et al. | — | 2017 | → |
| The role of family history of depression and the menopausal transition in the development of major depression in midlife women: Study of women's health across the nation mental health study (SWAN MHS). | Colvin A et al. | — | 2017 | → |
| Unintended Birth and Children's Long-term Mental Health. | Su JH | — | 2017 | → |
| Using an adoption-biological family design to examine associations between maternal trauma, maternal depressive symptoms, and child internalizing and externalizing behaviors. | Grabow AP et al. | — | 2017 | → |
| Validation and psychometric properties of the Somatic and Psychological HEalth REport (SPHERE) in a young Australian-based population sample using non-parametric item response theory. | Couvy-Duchesne B et al. | — | 2017 | → |