SEARCH · Search PubMed

Results for “Genetic causality”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 217 records · Page 12Linked to original sources

PubMed2026

Accelerated Biological Aging Increases the Risk of Head and Neck Cancer: Insights From Genetic Instruments of Epigenetic Clocks.

Epigenetic clocks are robust biomarkers of biological aging and have been associated with cancer susceptibility. However, the relationship between genetically predicted epigenetic age acceleration and head and neck cancer risk remains unclear. Using a large case-control study of 2189 head and neck squamous cell carcinoma (HNSCC) cases and 2189 age- and sex-matched controls, we investigated the associations between polygenic scores (PGSs) for multiple epigenetic clocks and HNSCC risk, and evaluated their potential causal roles using two-sample Mendelian randomization (MR). Genome-wide association study (GWAS)-identified single nucleotide polymorphisms (SNPs) associated with four epigenetic clocks (HannumAge, HorvathAge, GrimAge, and PhenoAge) were used to construct clock-specific PGSs. Logistic regression models were applied to assess associations between PGSs and HNSCC risk, while MR analyses, including inverse-variance weighted (IVW), weighted median, and MR-Egger methods, were used to infer potential causal relationships. Among the 48 epigenetic clock-associated SNPs, 12 showed nominal associations with HNSCC risk, and one variant (rs2275558 in PBX1) remained significant after Bonferroni correction (OR = 0.67, 95% CI: 0.60-0.76). PGSs for all four epigenetic clocks were higher in cases than in controls. In logistic regression analyses, each standard deviation increase in HannumAge PGS was associated with a 25% higher risk of HNSCC (OR = 1.25, 95% CI: 1.10-1.41), whereas HorvathAge, GrimAge, and PhenoAge PGSs showed weaker positive associations (ORs ranging from 1.06 to 1.10). Individuals in the highest PGS quartile for all four epigenetic clocks exhibiting 14%-25% higher risk than those in the lower three quartiles. MR analyses supported potential causal effects of genetically predicted HannumAge (IVW OR = 1.24 per SD increase, 95% CI: 1.09-1.42) and GrimAge (IVW OR = 1.23 per SD increase, 95% CI: 0.98-1.56) on HNSCC risk, with consistent estimates in weighted median analyses. Our results highlight biological aging as a potential etiologic mechanism for HNSCC and suggest that epigenetic clock-related genetic profiles may improve HNSCC risk stratification.

Humans↗

PubMed1995

Exclusion of close linkage of the dopamine transporter gene with schizophrenia spectrum disorders.

OBJECTIVE: Involvement of genetic factors in the pathogenesis of schizophrenia spectrum disorders has been indicated in twin, adoption, and familial aggregation studies; the pivotal role played by the dopamine transporter in dopaminergic neurotransmission makes it a candidate gene for these disorders. Detection of close linkage between a dopamine transporter marker and schizophrenia spectrum disorders would strongly support the existence of causal relationships between genetic mutations at the dopamine transporter locus and the disease phenotype. METHOD: The authors assessed the linkage between this gene and schizophrenia spectrum disorders by using polymorphic dopamine transporter gene markers in 156 subjects from 16 multiplex pedigrees with schizophrenia as well as schizophreniform, schizoaffective, and schizotypal disorders and mood-incongruent psychotic depression. RESULTS: Complete (theta = 0.0) linkage to the schizophrenia spectrum was excluded under both dominant and recessive models. CONCLUSIONS: These results indicate that allelic variants at the dopamine transporter locus do not provide major genetic contributions to the etiology of schizophrenia and related disorders in these pedigrees.

Alleles↗

PubMed1983

Biological factors and crime: implications for forensic psychiatry.

To summarize, we can say that (1) Criminal behavior, especially chronic criminal behavior, seems to be partly genetically predisposed; (2) An important task at this point is to attempt to determine the biological factors which predispose people to crime; and (3) We have related some tentative initial steps being taken in the study of the autonomic nervous system as one possible heritable, biological basis for the failure of normal social learning forces in inhibiting criminal behavior. Early in this paper we discussed the tenability of asserting criminal responsibility on individuals whose criminal behavior has a partly genetic etiology. But this special consideration seems to set biological factors apart as being in some unique causal category. In fact, genetic, physiological, and biochemical factors are causal agents in the same sense as family, social class, or neighborhood factors. Of course, criminal behavior (like all other behavior) must be caused; one class of causal variables is the biological category. The legal doctrine of responsibility is not challenged by identifying biological factors as partially determining crime any more than it is by findings of social causation. Only in cases in which abnormal biological factors are exceptionally powerful influences might responsibility be challenged. Such cases will be quite rare.

Adoption↗

PubMed1986

A new approach to the evolution of the blastic crisis from chronic myelocytic leukemia: dynamic interplay of cellular alterations and a changing microenvironment.

The mechanisms responsible for the massive hyperplasia and for the blastic crisis in chronic myelocytic leukemia are poorly understood. The most generally accepted hypothesis proposes that this progression is due to the development of genetic instability in the leukemic cells. In particular, the two phases of the disease are believed to reflect different, discrete genetic events. Such events remain undefined as yet, and the causal significance of observed genetic aberrations is not clear. An alternative hypothesis is presented here. It is assumed that the feedback interactions adjust the relative probabilities of maturation and replication of the 'committed' as well as the pluripotent cells, and further that mitotic cells at all stages possess considerable phenotypic adaptability; in particular their self-renewal capacity can vary in response to changes in the cellular composition of the tissue even within a conventionally defined compartment. On this basis, it is shown that chronic leukemia can arise and evolve into the blastic crisis from a progressive decline in a single clonal characteristic--inducibility to maturation. It is shown, with the help of mathematical considerations, how an initial hereditable event in an early hemopoietic cell can cause a disturbance of the tissue which feeds back onto the individual members of the clone, resulting in a cascade of dynamic changes which can lead to blast cell dominance.

Cell Cycle↗

PubMed2026

Conventional and Shared Genetic Association Analysis Between Diabetes Mellitus and Sensorineural Hearing Loss.

PURPOSE: This study aims to investigate the epidemiological and genetic associations between diabetes mellitus (DM) and sensorineural hearing loss (SNHL) across different subtypes. METHODS: We analyzed 502,490 participants from the UK Biobank using multivariate logistic regression to examine the association between DM and SNHL, considering gender, age, and HbA1c levels. Genetic correlations and causality were examined by linkage disequilibrium score regression and bidirectional Mendelian randomization. Cross-trait meta-analyses identified shared loci between DM and SNHL, followed by gene annotation, functional analysis, and drug candidate exploration for the shared traits. RESULTS: Observational analysis revealed significant associations between DM and SNHL, consistent in subgroups based on age, sex, and certain HbA1c levels. A positive genetic correlation was found between type 2 diabetes mellitus (T2D) and SNHL (Rg = 0.0982, p = 0.0095) between T2D and SNHL, and four loci were identified, with ARHGEF28 and TCF7L2 prioritized as credible pleiotropic genes. Enrichment was indicated in glucose metabolism and organogenesis, with shared heritability in metabolic tissues and outer hair cells. Metformin was identified as potential drug candidates for the T2D-SNHL comorbidity. CONCLUSION: These findings progress our understanding of the epidemiological association, shared genetic basis, and potential therapeutic targets between T2D and SNHL, which might contribute to the management of their comorbidity.

Humans↗

PubMed2006

Of mice and men: cancer gene discovery using comparative oncogenomics.

With the proliferation of high-throughput technologies to profile the cancer genome, methods to distinguish causal from bystander genetic events are needed. Two recent reports by Zender et al. and Kim et al. in Cell use genetically defined mouse models to serve as biological filters to mine the human cancer genome. Integration of high-resolution copy number profiles of mouse tumor models and human tumors identified cIAP1 and Yap as oncogenes in human hepatocellular carcinoma, while NEDD9 was identified as a metastasis gene in human melanoma. Together, these reports demonstrate that a comparative oncogenomics approach can identify genes causally involved in oncogenesis and metastasis.

Adaptor Proteins, Signal Transducing↗

PubMed2003

Altered renal handling of sodium in human hypertension: short review of the evidence.

A pathogenic role of the kidney in hypertension has been strongly supported by experimental studies by Guyton and Dahl since the 1960s. In the early 1980s, de Wardener and MacGregor proposed that in hypertensive patients the ability of the kidneys to excrete a sodium load could be genetically impaired. Since then, "sodium-sensitive" hypertension has been the object of numerous studies, mostly on animal models because of the difficulty to investigate the renal handling of sodium in humans. More recently, considerable progress in this field has been made thanks to the in vivo study of segmental renal tubular function by the clearance of lithium and to the growing knowledge of the genetics of renal tubular sodium transport systems. The scope of this review is to briefly review the most relevant information gathered by the investigation of segmental renal tubular sodium handling in humans as related to blood pressure regulation and hypertension. In aggregate, the results of these studies strongly support the association between altered renal sodium handling and high blood pressure and suggest a causal role of genetic, nutritional, metabolic, and neurohormonal factors. All of these factors, alone or in combination, may be able to impair the normal renal tubular sodium handling and influence blood pressure homeostasis. The paradigm of the pathogenic role of the kidney in hypertension is thus relentlessly shifting toward the definition of inherited as well as acquired renal tubular defects and molecular alterations, providing a plausible explanation for the alteration in blood pressure levels.

Blood Pressure↗

PubMed2003

Paradigms for the identification of new genes in motor neuron degeneration.

It is estimated that between 10-20% of amyotrophic lateral sclerosis (ALS) is familial and these cases encompass recessive and dominant modes of inheritance. So far, mutations in three genes, superoxide dismutase 1 (SOD1), the p150 subunit of dynactin (DCTN1), and alsin have been shown to be directly causal for motor neuron degeneration in humans. However, clearly the disorder is genetically heterogeneous and other causal genes remain to be found that explain the vast majority of familial ALS cases. Human genetics can be problematical in that it is difficult to detect linkage in disorders in which multiple loci give similar phenotypes and where families are often small. In addition, the vertical collection of generations is often not possible with late onset disorders. An excellent genetic model of humans is provided by the mouse. We can use mouse models of neurodegeneration to find new genes in the human population. These models are not exact replicas of the human condition, but are the mouse equivalent and are incredibly valuable resources for highlighting genes and biochemical pathways disrupted in ALS and other diseases. In addition mouse models give us access to both control and affected tissues, at all stages of development and disease, thus greatly facilitating our understanding of pathogenesis. They also provide us with model systems for testing new therapies. Here we describe the approach taken to the characterization of new models of motor neuron disease and illustrate this with examples, including a recently characterized mouse model, Legs at odd angles (Loa).

Amyotrophic Lateral Sclerosis↗

PubMed1982

Macrophages in resistance to rickettsial infections: genetic analysis of susceptibility to lethal effects of Rickettsia akari infection and development of activated, cytotoxic macrophages in A and B10.a mice.

Susceptibility to lethal effects of Rickettsia akari varies among mouse strains. Although most strains are resistant, A/J mice are extremely sensitive (10,000-fold difference in LD50 between resistant and sensitive strains). In contrast to most strains of mice, A/J mice also fail to develop activated, tumoricidal macrophages after any of several in vivo or in vitro treatments. Are susceptibility to R. akari and inability to develop activated, cytotoxic macrophages in the A/J strain causally related traits? Genetic analysis of macrophage tumoricidal activity in responsive B10.A and nonresponsive A mice suggested this trait was controlled by a single, autosomal, dominant gene. Among (F1 X A) backcross mice, the traits for defective macrophage cytotoxicity and abnormal accumulation of macrophages during inflammation (a response controlled by a single, autosomal, dominant gene) segregated independently. Genetic analysis of resistance to R. akari in sensitive A and resistant B10.A mice suggested this trait was also controlled by a single, autosomal, dominant gene. Among (F1 X A) backcross mice, however, traits for defective macrophage cytotoxicity and R. akari resistance segregated independently. Thus, development of activated tumoricidal macrophages, accumulation of macrophages at sites of inflammation, and resistance to the lethal effects of R. akari in A and B10.A mice were each controlled by single, autosomal, dominant, non-H-2-linked genes. However, genes for control of macrophage activation for tumoricidal activity and for resistance to lethal effects of R. akari infection are distinct.

Animals↗

PubMed2004

SNPs, haplotypes, and model selection in a candidate gene region: the SIMPle analysis for multilocus data.

Modern molecular techniques make discovery of numerous single nucleotide polymorphims (SNPs) in candidate gene regions feasible. Conventional analysis relies on either independent tests with each variant or the use of haplotypes in association analysis. The first technique ignores the dependencies between SNPs. The second, though it may increase power, often introduces uncertainty by estimating haplotypes from population data. Additionally, as the number of loci expands for a haplotype, ambiguity in interpretation increases for determining the underlying genetic components driving a detected association. Here, we present a genotype-level analysis to jointly model the SNPs via a SNP interaction model with phase information (SIMPle) to capture the underlying haplotype structure. This analysis estimates both the risk associated with each variant and the importance of phase between pairwise combinations of SNPs. Thus, rather than selecting between genotype- or haplotype-level approaches, the SIMPle method frames the analysis of multilocus data in a model selection paradigm, the aim to determine which SNPs, phase terms, and linear combinations best describe the relation between genetic variation and a trait of interest. To avoid unstable estimation due to sparse data and to incorporate both the dependencies among terms and the uncertainty in model selection, we propose a Bayes model averaging procedure. This highlights key SNPs and phase terms and yields a set of best representative models. Using simulations, we demonstrate the utility of the SIMPle model to identify crucial SNPs and underlying haplotype structures across a variety of causal models and genetic architectures.

Bayes Theorem↗

PubMed2025

Shared Genetic Architecture Between Atopic Dermatitis and Autoimmune Diseases.

Atopic dermatitis (AD) and autoimmune diseases exhibit epidemiological comorbidity, yet the shared genetic architecture remains incompletely understood. We investigated the genetic overlap between AD and three autoimmune disorders including inflammatory bowel disease (IBD), rheumatoid arthritis (RA), and vitiligo, leveraging genome-wide association data. Despite modest evidence for global genetic correlations, we found 113 independent pleiotropic loci shared among AD and autoimmune diseases, with 11 displaying a concordant effect across all 3 pairwise comparisons. Gene-set and tissue enrichment analyses evidenced the inflammatory background of pleiotropic associations. Multi-trait colocalization analysis prioritized 22 loci, linking the tissue-specific expression of DOK2, GPR132, RERE, RERE-AS1, SUOX, TNFRSF11A, and TRAF1 pleiotropic genes with AD risk. Mendelian randomization revealed no causal effect of genetic liability to AD on autoimmune diseases. Nevertheless, genetic liability to IBD increased AD risk, while vitiligo exhibited a protective effect post outlier correction. Our findings provide mechanistic insights into the multimorbidity of atopic dermatitis (AD) and autoimmune diseases, offering additional evidence for the pleiotropic genetic architecture of AD that contributes to systemic immune dysregulation across multiple organ systems.

Humans↗

PubMed1977

The spermatozoan genome and fertility.

The strategy for effective reproduction by eliminating genetically unbalanced gametes during spermatogenesis and transport varies in degree of success within as well as among species, but in no animal has it been reported to be completely effective. In the human subject, for example, it is estimated that one in every 50 ejaculated spermatozoa is genetically abnormal. The causal basis of these anomalies is poorly understood. Meiotic accidents, environmental mutagens, and gamete senescence in utero are all implicated. However, many of these abnormal cells are fertile. This fact plus the weight of the evidence reviewed suggest that fertility differences among males which cannot be ascribed to measurable differences in semen characteristics reflect, in large part, the increased opportunity of nuclear defective gametes in the semen of some males to effect fertilization. The elimination of embryos arising from eggs fertilized by genetically defective spermatozoa through spontaneous abortions, although biologically costly, must be viewed as the final check for the elimination of genetic detritus of the species.

Abortion, Spontaneous↗

PubMed2002

From epigenesis to epigenetics: the case of C. H. Waddington.

One continuous thread in this volume is the name of Conrad H. Waddington (1905-1975), the developmental biologist known as the inventor of the term epigenetics. After some biographical notes on his life, this article explores the meaning of the Waddingtonian equation and the context wherein it was developed. This equation holds that epigenesis + genetics = epigenetics, and refers in retrospect to the debate on epigenesis versus preformationism in neoclassical embryology. Whereas Waddington actualized this debate by linking epigenesis to developmental biology and preformation to genetics, thereby stressing the importance of genetic action in causal embryology, today's epigenetics more and more offers the possibility to enfeeble biological thinking in terms of genes only, as it expands the gene-centric view in biology by introducing a flexible and pragmatically oriented hierarchy of crucial genomic contexts that go beyond the organism.

Animals↗

PubMed2004

Inducible activation of oncogenic K-ras results in tumor formation in the oral cavity.

Mouse models for cancer represent powerful tools to analyze the causal role of genetic alterations in cancer development. We have developed a novel mouse model that allows the focal activation of mutations in stratified epithelia. Using this system, we demonstrate that activation of an oncogenic K-rasG12D allele in the oral cavity of the mouse induces oral tumor formation. The lesions that develop in these mice are classified as benign squamous papillomas. Interestingly, these tumors exhibit changes in the expression pattern of keratins similar to those observed in human premalignant oral tumors, which are reflective of early stages of tumorigenesis. These results demonstrate a causal role for oncogenic K-ras in oral tumor development. The inducible nature of this model also makes it an ideal system to study cooperative interactions between mutations in oncogenes and/or tumor suppressor genes that are similar to those observed in human tumors. To our knowledge, this is the first reported inducible mouse model for oral cancer.

Animals↗

PubMed2026

Genetic Basis of Pancreatic Steatosis: A Systematic Review of Comparison between African and Non-African Populations.

This systematic review compared genetic evidence of pancreatic steatosis across African and non-African populations to illuminate ancestry-specific mechanisms and precision-prevention opportunities. Following PRISMA guidelines for reporting, a search was conducted across PubMed, Scopus, Web of Science, and NHGRI-EBI GWAS Catalog for studies spanning 2011 to 31st March 2026. Eligible studies included genome-wide association studies (GWAS), polygenic risk score (PRS), and Mendelian randomization (MR) analyses that reported genetic associations with pancreatic fat phenotypes and had explicit ancestry stratification or comparison. Narrative thematic synthesis was performed due to methodological heterogeneity. Six core genetic studies (N > 120,000 participants) were included. The only multi-ethnic GWAS found a strong protective variant of African ancestry, rs73449607 (near PDX1/PLUTO), which reduced pancreatic fat (β = -0.67, P = 4.50 × 10⁻⁸) and explained 14.3% of the variance in African Americans (versus 5.3% overall). UK Biobank race-stratified PRS analyses confirmed the lowest pancreatic fat fraction in Black participants, with the strongest HbA1c PRS-fat association in this group (ρ = 0.23, P < 0.0001). European-dominant GWAS highlighted risk loci, including FUT2 rs601338 (higher fat and chronic pancreatitis risk, OR 1.26). MR studies demonstrated causal links between genetically predicted intra-pancreatic fat deposition (IPFD) and pancreatic ductal adenocarcinoma (PDAC) (OR 2.46 per SD) but not diabetes. African-ancestry genomes confer substantial protection against pancreatic steatosis, whereas non-African genomes are enriched for risk alleles that amplify the non-alcoholic fatty pancreas disease (NAFPD)-to-PDAC cascade. These ancestry-differentiated mechanisms position NAFPD as a precision medicine target.

Africa↗

PubMed2025

Education, socioeconomic status, leisure sedentary behaviors and female infertility: mendelian randomization study.

BACKGROUND: Previous studies have indicated that education, socioeconomic status, and leisure sedentary behavior may be associated with female infertility. However, it remains unclear whether these associations imply causal relationships. METHODS: Genetic variants from genome-wide association studies (GWAS) of education, socioeconomic status, and leisure sedentary behaviors were obtained from the UK Biobank and MRC-IEU database (Medical Research Council Integrative Epidemiology Unit), female infertility data was acquired from the FinnGen Biobank. Univariable and multivariable MR analyses were performed to explore the relationships between these traits and female infertility. RESULTS: The results of the univariate MR analysis indicated that age of full-time education had a protective effect on female infertility (odds ratio [OR] 0.471; 95% confidence interval [CI] 0.24 to 0.93; p = 0.03). Multivariable MR and reverse MR studies support the existence of a relationship between them. However, no causal correlation was found between other traits and female infertility. No significant heterogeneity or horizontal pleiotropy was detected, and the stability of the results was confirmed through sensitivity analysis and the leave-one-out test. CONCLUSIONS: A later age of completion of full-time education may be causally related to a reduced risk of female infertility, but no causality is established between other educational levels factors, socioeconomic status, or sedentary behaviors and infertility risk.

Humans↗

PubMed2026

Inflammatory cytokines mediate thoracic aortic aneurysm formation via plasma metabolites: A two-step Mendelian randomization and single cell sequencing-based investigation.

Thoracic aortic aneurysm (TAA) is a life-threatening condition characterized by pathological dilation of the aorta. While inflammatory responses have been implicated in TAA pathogenesis, the causal relationships remain elusive. This study aimed to elucidate potential causal associations between inflammatory cytokines, plasma metabolites, and TAA risk using Mendelian randomization (MR) analysis. We conducted bidirectional two-sample MR analysis utilizing genome-wide association study data from 91 inflammatory cytokines (n = 14,824), 1400 plasma metabolites (n = 8299), and TAA (n = 385,857). The inverse-variance weighted method served as the primary analytical approach, with comprehensive sensitivity analyses performed to assess pleiotropy and heterogeneity. Two-step MR analysis was employed to explore potential mediating roles of plasma metabolites. Single-cell sequencing analysis was utilized to detect cell type enrichment and elucidate cellular functions of identified cytokines. Additionally, we conducted an analysis to identify druggable proteins as potential therapeutic targets for TAA. MR analysis revealed that genetically-determined increases in C-X-C motif chemokine 10 (CXCL10) (odds ratios [OR] = 1.149, 95% confidence interval [CI]: 1.009-1.309, P = .037) and fibroblast growth factor 5 (OR = 1.101, 95% CI: 1.013-1.196, P = .024) were associated with elevated TAA risk. Conversely, C-C motif chemokine 20 (CCL20) (OR = 0.870, 95% CI: 0.759-0.996, P = .043) and CD40L receptor (CD40) (OR = 0.906, 95% CI: 0.827-0.992, P = .033) demonstrated inverse associations with TAA risk. Two-step MR analysis identified potential mediating metabolites: the phosphate to linoleoyl-arachidonoyl-glycerol ratio for CXCL10, thyroxine and X-24585 for FGF-5, and the creatine to carnitine ratio for CCL20. Single-cell sequencing analysis revealed enrichment of these cytokines in specific cell types and pathways relevant to TAA pathogenesis. Drug-gene interaction analysis identified CXCL10, CCL20, and CD40 as potential targets for treatment of TAA. This study provides robust genetic evidence supporting causal relationships between specific inflammatory cytokines and TAA risk, with plasma metabolites potentially mediating these effects. CXCL10 and FGF-5 were identified as potential risk factors, while CCL20 and CD40 may confer protective effects. These findings offer novel insights into TAA pathogenesis and suggest potential targets for intervention. Further research is warranted to elucidate the underlying mechanisms and validate these results across diverse populations.

Aortic Aneurysm, Thoracic↗

PubMed2026

Genetics of major depressive disorder in a homogeneous population with uniform phenotyping.

Harmonized phenotyping and diverse population-specific studies are crucial for advancing gene discovery in psychiatric genetics. We conducted a genome-wide association (GWAS) mega-analysis of DSM-defined lifetime major depressive disorder (MDD) in 64 941 participants (25.7% cases) from the Dutch BIObanks Netherlands Internet Collaboration (BIONIC) consortium. Liability-scale SNP-based heritability was 12.0% (SE = 1.4%) as estimated by LDSC (assuming a lifetime prevalence of 15%) and 26.6% (SE = 1.1%) when estimated by LDAK-REML on individual-level genotype data, indicating substantial common-variant signal in this clinically harmonized sample. The genetic correlation with the latest major depression GWAS from the Psychiatric Genomics Consortium (PGC-MD) was high (rG = 0.89, SE = 0.048). Polygenic scores (PGSs) based on BIONIC predicted depression in UK Biobank, and PGSs derived from PGC-MD predicted MDD in BIONIC, supporting transferability of depression polygenic signal across cohorts and phenotype definitions. Within-family PGS analyses in twins suggested that the observed prediction was not primarily driven by detectable family-level confounding, and twin concordance for MDD increased with polygenic burden. We identified one genome-wide significant locus, indexed by rs3818852 in PALMD, but this finding currently lacks independent replication and should be interpreted cautiously. Finally, genetic correlation and latent causal variable analyses identified multiple traits showing shared or directionally consistent genetic associations with MDD. Together, these findings underscore the value of clinically harmonized phenotyping in regional biobank collaborations for studying the genetic architecture of MDD.

Humans↗