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PubMed2025

Genome-wide association study of adolescent-onset depression.

Adolescent depression is a heritable psychiatric condition with rising global prevalence and severe long-term outcomes, yet its biological underpinnings remain poorly understood. We conducted the first genome-wide association study of adolescent-onset depression, comprising 102,428 cases (diagnosis or clinical symptom thresholds) and 286,911 controls, including diverse ancestries. Cross-ancestry meta-analysis identified 52 independent variants across 17 loci; European-only analysis found 61 variants at 29 loci, with a SNP-based heritability of 9.8%. Comparative analyses revealed two genes unique to adolescent-onset versus lifetime depression, enriched in neuronal subtypes, and two genes as potential drug repurposing targets. Polygenic scores were associated with adolescent-onset depression across ancestries, persistent depression trajectories, more severe outcomes, as well as reduced cortical volume, surface area and white matter integrity. Genetic correlation and Mendelian randomisation analyses support shared genetic liability and causal links with early puberty and modifiable health and behavioural risk factors. These findings uncover novel genetic loci and refine biological pathways underlying adolescent-onset depression, revealing age-specific mechanisms and early intervention opportunities.

Journal Article↗

PubMed2025

Protective Effects of Genetic Proxies of Cognitive Reserve in Parkinson's Disease: A Longitudinal Multi-Cohort Study.

BACKGROUND: Resilience factors are crucial in the progression of neurodegenerative diseases. However, it remains unclear whether a genetic predisposition to cognitive reserve influences clinical heterogeneity in the prognosis of Parkinson's disease (PD). OBJECTIVES: The aim is to evaluate the utility of polygenic scores (PGSs) for cognitive reserve proxies, including intelligence (INT), educational attainment (EA), and occupational attainment (OA), in predicting the clinical progression of PD. METHODS: Genetic and clinical data for progression of PD (progression to Hoehn and Yahr stage ≥3, progression to a Montreal Cognitive Assessment score ≤24, and occurrence of psychosis) were obtained from the Accelerating Medicine Partnership Parkinson's Disease database. We conducted multivariate Cox regression analysis, adjusting for relevant covariates, including years of education, variants in APOE, GBA1, LRRK2, and other cognitive reserve-related PGSs. RESULTS: All cognitive reserve-related PGSs significantly reduced the risk of cognitive decline, and EA-PGS (hazard ratio [HR], 0.550; 95% confidence interval [CI], 0.447-0.676; P < 0.001) remained significant after controlling for INT-PGS and OA-PGS. EA-PGS (HR, 0.805; 95% CI, 0.672-0.964; P = 0.019) was significantly associated with better motor prognosis after controlling for other PGSs. OA-PGS was linked to a decreased risk of developing psychosis in PD and remained significant after adjusting for others (HR, 0.784; 95% CI, 0.631-0.975; P = 0.029). CONCLUSIONS: Genetic proxies of cognitive reserve are associated with a reduced risk of cognitive decline, motor progression, and development of psychosis in PD. These findings may enhance our understanding of individual differences in resilience in progression of PD. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Humans↗

PubMed2025

Polygenic enrichment analysis in multi-omics levels identifies cell/tissue specific associations with schizophrenia based on single-cell RNA sequencing data.

OBJECTIVE: Understanding the specific cellular origin and tissue heterogeneity in schizophrenia is critically important for exploring the disease etiology. This study aims to investigate these aspects by performing multiple analyses based on omics data. METHOD: We performed single-cell disease relevance score (scDRS) algorithm to link brain single-cell RNA sequencing (scRNA-seq) with schizophrenia risk across multi-omics scales at single-cell resolution. This approach identified cell types with overexpression of schizophrenia-related genes implicated by multi-omics panels (ATAC-seq, RNA-seq, TWAS, and GWAS). Schizophrenia-related genes from these multi-omics panels were extracted and combined with scRNA-seq data to calculate scDRS. Subsequently, the cell-type vs. disease association and tissue heterogeneity were assessed using scDRS for each omics panel. RESULTS: We identified two novel cell subpopulations in the brain that differentially express SCUBE3 (59 cells, 7.0 %) and FN1 (21 cells, 2.5 %). At the individual cell level, schizophrenia-associated cell subpopulations included microglial cell associated with ATAC-seq panel (Passociation = 0.002, Pheterogeneity = 0.009) and deep layer neuron suggestively associated with GWAS panel (Passociation = 0.033, Pheterogeneity = 0.017). At the brain tissue level, microglial cell was significantly associated with cortical plate in ATAC-seq panel (Passociation = 0.002, Pheterogeneity = 0.011). Gene level analysis identified several genes associated with schizophrenia across multi-omics panels. CONCLUSIONS: Our study outlines the signature of cell subpopulations, brain regions, and disease risk genes in schizophrenia at single-cell resolution across multi-omics scales. These findings provide a reference for future precision medicine approaches targeting specific cell types and brain regions in schizophrenia.

Schizophrenia↗

PubMed2003

Site and gender specificity of inheritance of bone mineral density.

UNLABELLED: Differences in genetic control of BMD by skeletal sites and genders were examined by complex segregation analysis in 816 members of 147 families with probands with extreme low BMD. Spine BMD correlated more strongly in male-male comparisons and hip BMD in female-female comparisons, consistent with gender- and site-specificity of BMD heritability. INTRODUCTION: Evidence from studies in animals and humans suggests that the genetic control of bone mineral density (BMD) may differ at different skeletal sites and between genders. This question has important implications for the design and interpretation of genetic studies of osteoporosis. METHODS: We examined the genetic profile of 147 families with 816 individuals recruited through probands with extreme low BMD (T-score < -2.5, Z-score < -2.0). Complex segregation analysis was performed using the Pedigree Analysis Package. BMD was measured by DXA at both lumbar spine (L1-L4) and femoral neck. RESULTS: Complex segregation analysis excluded purely monogenic and environmental models of segregation of lumbar spine and femoral neck BMD in these families. Pure polygenic models were excluded at the lumbar spine when menopausal status was considered as a covariate, but not at the femoral neck. Mendelian models with a residual polygenic component were not excluded. These models were consistent with the presence of a rare Mendelian genotype of prevalence 3-19%, causing high BMD at the hip and spine in these families, with additional polygenic effects. Total heritability range at the lumbar spine was 61-67% and at the femoral neck was 44-67%. Significant differences in correlation of femoral neck and lumbar spine BMD were observed between male and female relative pairs, with male-male comparisons exhibiting stronger lumbar spine BMD correlation than femoral neck, and female-female comparisons having greater femoral neck BMD correlation than lumbar spine. These findings remained true for parent-offspring correlations when menopausal status was taken into account. The recurrence risk ratio for siblings of probands of a Z-score < -2.0 was 5.4 at the lumbar spine and 5.9 at the femoral neck. CONCLUSIONS: These findings support gender- and site-specificity of the inheritance of BMD. These results should be considered in the design and interpretation of genetic studies of osteoporosis.

Bone Density↗

PubMed2026

Shared genetic architecture and therapeutic targets across paediatric immune-mediated diseases.

OBJECTIVES: Paediatric-onset immune-mediated inflammatory diseases (IMIDs), including juvenile idiopathic arthritis and related rheumatic diseases, remain genetically undercharacterised. We aimed to define shared and category-specific genetic architecture across paediatric IMIDs, compare signals with adult IMIDs, and identify therapeutic opportunities. METHODS: We analysed 24 paediatric IMIDs classified as autoimmune, polygenic-autoinflammatory, mixed-pattern, or allergic. Genome-wide association analyses included 18,086 cases and 131,019 controls of European ancestry. We estimated single nucleotide polymorphism (SNP)-based heritability, genetic correlations, and polygenic overlap; performed subset-based meta-analysis; and conducted functional annotation, gene prioritisation, pathway and protein network analyses, adult-IMID comparison, and drug-target prioritisation. RESULTS: SNP-based heritability ranged from 28.9% for allergic IMIDs to 61.9% for autoimmune IMIDs. Genetic correlation and polygenic modelling supported partial sharing across categories with category-specific components. Meta-analysis identified 39 genome-wide significant loci outside the Major Histocompatibility Complex (MHC) region, including 15 previously unreported loci; 19 loci were shared between categories. Gene-prioritisation and protein interaction analyses identified a core MHC-centred antigen-presentation network, with category-enriched modules involving complement, innate/barrier pathways, epithelial biology, and type 2 immunity. Enriched pathways included nuclear factor κB signalling, T helper 17 related pathways, Janus kinase-signal transducer and activator of transcription signalling, programmed cell death protein 1/programmed death‑ligand 1, cytotoxic T‑lymphocyte associated protein 4 regulation, and osteoclast differentiation, several of which are relevant to rheumatic diseases. Paediatric IMIDs shared broad polygenic architecture with adult IMIDs, whereas top-ranked genes converged strongly with adult rheumatic diseases. Priority Index analysis identified 178 high-scoring genes, including 43 approved or investigational IMID drug targets. CONCLUSIONS: Paediatric-onset IMIDs share core pathways with adult forms but exhibit distinct genetic architecture shaped by age-specific immune and neurodevelopmental biology. These findings provide a genomic framework for paediatric precision medicine, guiding classification, risk prediction, and therapeutic development.

Humans↗

PubMed2026

Calibrated Prediction Intervals for Polygenic Scores: Updated Comparisons, Contextual Calibration, and Data Normalization.

Calibrated prediction intervals for polygenic scores (PGS) are essential for communicating individual-level uncertainty in genomic medicine. We present updated comparisons of two methods for constructing such intervals: CalPred, a parametric approach, and PredInterval, a non-parametric approach. Our results show that both methods can achieve calibrated coverage, although CalPred additionally requires a sufficiently large calibration set. The two methods also exhibit complementary trade-offs with respect to dataset size and risk identification. We further show that contextual calibration, as introduced in Hou et al. and followed in Shi et al., is most naturally achieved through appropriate phenotype normalization and data preprocessing. Apparent miscalibration can arise from inadequate normalization or from providing contextual information to some methods but not others. In UK Biobank, standard GWAS phenotype normalization procedures are sufficient to achieve contextual calibration for traits analyzed. In the extreme simulations of Hou et al. and Shi et al., supplying contextual covariates to PredInterval restores contextual calibration without normalization, and appropriate normalization can achieve contextual calibration without supplying covariates, while also substantially improving upstream tasks including association power and PGS accuracy. Together, these results underscore the central role of phenotype normalization and data preprocessing in GWAS analyses, including reliable uncertainty quantification for PGS.

Journal Article↗

PubMed2006

A genome-wide scan for naevus count: linkage to CDKN2A and to other chromosome regions.

High numbers of melanocytic naevi (moles), and mutations in the p16 gene (CDKN2A), are two strong risk factors for cutaneous malignant melanoma. We have previously reported linkage of mole count to the CDKN2A locus. Here, we report genome-wide scans for mole counts (differentiated into flat, raised and atypical subtypes) with a total of 796 microsatellite markers for 424 families with 1024 twins and siblings, plus genotypes for 690 parents. Inclusion of 221 pairs of MZ twins enabled separation of shared environmental and polygenic influences, so placing an upper limit to estimates of QTL variance. Maximum likelihood multipoint variance component methods were used to assess linkage of naevus count. Sex, age, body surface area, skin colour, hair colour, sunburn and facial freckles were included as covariates. Peak linkage of flat mole count was to regions on chromosomes 2, 9, 8 and 17 with lod scores 2.95, 2.95, 2.50 and 2.15, respectively. The support for linkage to the CDKN2A gene region (9p21) increased to 3.42 when additional fine mapping markers were added. For raised mole count, there was suggestive evidence of linkage in our sample to chromosome 16 (lod=1.87), and for atypical mole count on chromosomes 1, 6 and X with lod scores of 2.20, 2.00 and 2.00, respectively. The multivariate linkage peaks generally match those from individual trait analyses, with the exception of a new peak on chromosome 4 (point-wise empirical P-value=0.001). We replicate our earlier finding of linkage to CDKN2A and discovering linkage to several novel regions that may also influence risk of the development of malignant melanoma.

Adolescent↗

PubMed2026

Genome-Wide Association Study of Contrast Media Hypersensitivity in Japanese Patients.

Iodinated contrast media (ICM), commonly used in radiological tests such as coronary angiography, can cause hypersensitivity reactions (HSRs). The mechanism of ICM HSRs is thought to be complex; while IgE-mediated allergic reactions appear to be involved, the details remain unclear. This study aims to elucidate the pathogenesis of ICM HSRs through genetic analysis. To date, a few case-control studies have been conducted exclusively on East Asians, but the results have been inconclusive and have not been replicated.We conducted a multistage GWAS for ICM HSRs in Japanese individuals. The study population comprised 153 cases with ICM HSRs (ranging from mild to severe form), 632 controls with no history of ICM-induced allergies, and < 38,721 individuals from the general population. We identified genome-wide significant association signals in the HLA region and also found that these signals originated from the three HLA alleles-B*52:01, C*12:02, DRB1*15:02-previously reported in a Korean candidate gene study. Using instrumental variable analysis with a polygenic score for pediatric asthma (PGSasthma) as a proxy, we demonstrated that ICM HSRs are associated with the allergic predisposition thought to be shared by asthma and ICM HSRs. There was a significant difference in the distribution of PGSasthma between ICM HSR patients and non-disease controls (per-SD odds ratio: 1.26, P = 0.021).Our genome-wide approach shows that HLA alleles are among the genetic factors underlying ICM HSRs. Furthermore, it provides evidence for the potential usefulness of predicting the risk of developing ICM HSRs based on allergic predisposition.

Allergic predisposition↗

PubMed2005

Is glutamate decarboxylase 2 (GAD2) a genetic link between low birth weight and subsequent development of obesity in children?

Low birth weight is a risk factor for obesity and type 2 diabetes. The fetal insulin hypothesis proposes that low birth weight might be mediated partly by genetic factors that impair insulin secretion/sensitivity during the fetal stage, as shown for glucokinase, the ATP-sensitive K+ channel subunit Kir6.2, and the small heterodimer partner genes. Glutamic acid decarboxylase 2 gene (GAD2) overexpression impairs insulin secretion in animals. Recently, polymorphisms in the GAD2 gene were associated with adult morbid obesity. In the present study, we investigated potential effects of the functional -243 A-->G polymorphism in the 5' promoter region of the GAD2 gene on fetal growth, insulin secretion, food intake, and risk of obesity in 635 French Caucasian severely obese children from three different medical centers. The case/control study confirmed the association between the GAD2 single-nucleotide polymorphism (SNP) -243 A-->G and obesity (odds ratio, 1.25; P = 0.04). In addition, SNP -243 GG children carriers showed a 270 g lower birth weight and a 1.5 cm lower birth height compared with AA carriers (P = 0.009 and P = 0.013, respectively). The relation between birth weight and Z score of BMI was linear in AA carrier children (P = 0.00001) and quadratic (U-shaped curve) in AG/GG carrier children (P = 0.0009). G allele children carriers presented a trend toward lower insulinogenic index with 25% reduction of insulin secretion in response to glucose load compared with A carriers (P = 0.09). Eighteen percent of GG obese carriers vs. 5.7% of AA carriers reported binge eating phenotype (P = 0.04). These results confirm the association between GAD2-243 promoter SNP and the risk for obesity and suggest that GAD2 may be a polygenic component of the complex mechanisms linking birth weight to further risk for metabolic diseases, possibly involving the pleiotropic effect of insulin on fetal growth and later on feeding behavior.

Adolescent↗

PubMed2003

Minor physical anomalies in schizophrenic patients and normal controls.

The aim of the study is to investigate the rate and topographical pattern of minor physical anomalies in schizophrenic patients and normal subjects and determine their value in predicting the patient-control status. Seventy-six schizophrenic inpatients (43 men, 33 women) and 82 normal control subjects (42 men, 40 women) were examined for minor physical anomalies on the Waldrop scale. Schizophrenics showed a higher rate for almost all examined anomalies, the differences reaching statistical significance for six of them: fine electric hair, epicanthus, high/steepled palate, tongue with smooth/rough spots, third toe the second, and big gap between I and II toes. They have significantly higher values for 5 out of 6 body regions and for the total anomalies score. Anomalies in schizophrenics show higher prevalence in the craniofacial complex than the periphery, but the periphery is also considerably stigmatized. Seven anomalies distinguish patients from controls, classifying correctly 81.6% of the patients and 82.9% of the controls. Some anomalies show an almost equal rate in the schizophrenics and the controls, while the rate of others is more than 10 times greater in the patients (odds ratios range: 1.0 to 10.9). Viewed within the multifactorial-polygenic threshold model of liability to a disease, minor physical anomalies might reflect a type of neurodevelopmental risk factor, which by interaction with other genetic or environmental factors could result in passing a threshold and producing symptoms of the disorder, at least in one subpopulation of schizophrenics.

Adolescent↗

PubMed1985

HLA antigens and acute rheumatic fever: evidence for a recessive susceptibility gene linked to HLA.

From 60 probands with acute rheumatic fever (ARF), 19 multiplex families segregating for ARF were ascertained. The parents and rheumatic and normal sibs of the probands in these 19 families were also studied. HLA typing using the microlymphocytotoxic assay was then performed on the 60 unrelated probands, the multiplex families, and 234 unrelated controls using 23 antigens from the HLA-A and -B loci. The controls lacked a past history of ARF and were from the same geographic locality. Calculations of relative risk demonstrate an increase of HLA-B5 antigen in the 60 patients, but the result might not be significant from the point of view of multiple comparisons. Nevertheless, affected sib pairs from the multiplex families show 93% concordance for both or one HLA haplotype. A formal linkage analysis demonstrates that a recessive etiology is most likely (lod score of 3.3) with approximately 68% of cases being due to a gene closely linked to HLA and in linkage disequilibrium with HLA-B5. The remaining 32% of cases are due to other familial factors such as polygenic inheritance or common environmental factors. The results confirm a strong genetic predisposition to ARF and its heterogeneous nature in families.

Gene Frequency↗

PubMed1996

Genetic mapping of a pulmonary adenoma resistance (Par1) in mouse.

Lung cancer, a major cause of death in the Western world, has a poor prognosis. So far, therapeutic strategies have had only a limited effect. Lung cancer risk is strongly associated with cigarette smoking and lung cancer pedigrees are rare. However, a possible polygenic nature of inherited predisposition to this cancer has been envisaged. Mouse inbred strains with inherited predisposition and resistance to lung cancer provide an important tool for the dissection of the genetics of this complex disease. The A/J strain carries the pulmonary adenoma susceptibility 1 (Pas1) locus and develops many lung tumours. We have mapped the M. spretus-derived locus that strongly resists the lung tumorigenesis in Pas1/+ mice. This locus, pulmonary adenoma resistance 1 (Par1) maps to mouse chromosome 11, near the Rara locus, with a lod score of 5.3. In Pas1/+ mice Par1 accounts for 23% of the phenotypic variance and 10 fold reduction in total tumour volume. These results provide evidence for a major resistance locus affecting the expression of an inherited predisposition to lung cancer.

Adenoma↗

PubMed2026

Multi-omic signatures of genetic mechanisms inform on type 2 diabetes biology and patient heterogeneity.

Type 2 diabetes (T2D) is a heterogeneous disease shaped by genetic pathways related to insulin resistance and β-cell dysfunction, but how this heterogeneity is reflected molecularly remains unclear. We integrated partitioned polygenic scores (pPS) with proteomic and metabolomic profiling to define molecular signatures of T2D and their clinical relevance. We analyzed UK Biobank participants with genomic, proteomic, and metabolomic data. In a disease-free training subset, we used LASSO regression to identify multi-omic signatures associated with each pPS by jointly modeling proteins and metabolites. In an independent testing set, we constructed multi-omic scores and examined their associations with clinical traits and diabetes-related outcomes. Mediation analyses were used to investigate putative causal pathways. Key findings were evaluated in the Multi-Ethnic Study of Atherosclerosis (MESA). We identified distinct multi-omic signatures that capture the molecular architecture of T2D genetic risk across physiological subtypes. Compared with genetic scores alone, multi-omic pPS showed larger effect sizes and better disease discrimination. These scores recapitulated subtype-specific physiology and were associated with T2D risk. The Beta-Cell 2 multi-omic score showed marked stratification for insulin use, which was replicated in MESA, where it also predicted future insulin use. Mediation analyses implicated lipoprotein remodeling and fatty acid metabolism in the Lipodystrophy 1 cluster, accounting for 30-45% of the total effect of pPS on T2D risk. Integrating process-specific genetic risk with circulating multi-omic profiles reveals biologically distinct endotypes of T2D and supports a framework for improved patient stratification and risk assessment.

Journal Article↗

PubMed2002

[Genetic factors in myocardial infarction--Results from a candidate gene and a genome-wide approach between beta blockers].

BACKGROUND: Coronary artery disease and myocardial infarction are the most frequent causes of death in the Western societies. Even nowadays, every second myocardial infarction is lethal and hits the patients unexpectedly without previous signs or symptoms. In order to install preventive measures most efficiently, it is necessary to have a detailed knowledge on the pathophysiology of the disease. The identification of patients who are at high risk for suffering from myocardial infarction can be done with epidemiological methods, such as the determination of "traditional" risk factors, like arterial hypertension, hypercholesterolemia, diabetes mellitus or smoking), or eventually in the future using molecular genetic testing. This is of great importance especially for asymptomatic siblings and children from myocardial infarction patients. POLYMORPHISMS: Although traditional risk factors occur frequently in families, they explain only in part the familial accumulation of coronary artery disease. Furthermore, stron genetic effects on the development of coronary artery disease and myocardial infarction have been demonstrated in several studies. These genetic effects can be examined by 1. a candidate gene approach, or 2. a systematic screening of the whole genome. In the first step, several polymorphisms (sequence variations) wee examined in several candidate genes in which a significant influence on a cardiovascular risk factor or intermediate phenotype (such as atherogeneic lipid profile or arterial hypertension) has been shown in the literature. We thus examined in a large population of patients with myocardial infarction and a sample of the general population the effects of the HindIII polymorphism in the lipoproteinlipase gene, of the -344T/C promoter polymorphism in the aldosterone synthase gene and of the 825C/T polymorphism in the gene of the beta3 subunit of the G protein gene (GNB3). In the general population, we could show an association with unfavorable lipid levels in men and in postmenopausal (but not premenopausal) women for the H2H2 genotype of the HindIII lipoproteinlipase polymorphism. However, the theoretical increase in risk for this genotype is not large enough to demonstrate a significant association with myocardial infarction in the population examined. With the promoter polymorphism in the aldosterone synthase gene, anthropometrical and echocardiographical data did not suggest that the polymorphism is a risk factor for myocardial infarction nor for left ventricular remodeling after myocardial infarction, which was observed in earlier studies. Furthermore, we could show an association with arterial hypertension in our general population sample with the polymorphism in the GNB3 gene. However, no association could be demonstrated for this polymorphism with myocardial infarction. AFFECTED SIB-PAIR APPROACH: In a systematic screening of the genome for genes that are relevant in the pathogenesis of coronary artery disease or myocardial infarction, an affected sib-pair approach was followed. 1,261 families were identified in which at least two brothers or sisters were affected with myocardial infarction or severe coronary artery disease, such as percutaneous coronary intervention or coronary after bypass grafting. In a subpopulation of 513 families and 1,407 individuals, we performed a total genome screening. The analyses using the variance component method and the SOLAR program revealed a susceptibility locus for myocardial infarction of chromosome 14q32 with a lod score of 3.89 (genome-wide p < 0.05). This locus comprises a region of about seven centi-Morgan and contains approximately 150 genes. Furthermore, a comprehensive analysis including the cardiovascular risk factors showed that 1. this myocardial infarction locus is unique and does not overlap with chromosomal loci for well-established risk factors, 2. cardiovascular risk factors, such as Lp(a), diabetes mellitus, serum lipids, or arterial hypertension have strong genetic components. CONCLUSION: These findings do not exclude a role of cardiovascular s do not exclude a role of cardiovascular risk factors or candidate genes in the pathogenesis of myocardial infarction, but rather demonstrate that risk factors may act as surrogates of specific underlying disease mechanisms. It is thus necessary to perform a comprehensive analysis of complex polygenic diseases, such as myocardial infarction, including both, established cardiovascular risk factors and genomic data.

Adrenergic beta-Antagonists↗

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↗

PubMed1989

Segregation and linkage analyses of bipolar and major depressive illnesses in multigenerational pedigrees.

Data were collected on six large multigenerational pedigrees, four ascertained through a proband with major depression and two ascertained through a proband with a bipolar form of illness. Diagnoses were made using the SADS-L structured interview and Research Diagnostic Criteria (RDC). Complex segregation analyses were conducted on the bipolar and the major depression pedigree sets using a model allowing for both major locus and polygenic inheritance; in these analyses a variety of diagnostic schemes and assumptions concerning the lifetime population prevalence were examined. Linkage analyses on standard markers were conducted using parameters for transmission of susceptibility to illness derived from the segregation analyses. Results of the segregation analyses were quite sensitive to the diagnostic and prevalence assumptions. In the pedigrees ascertained through probands with a bipolar form of illness, we were unable to discriminate between major gene and polygenic inheritance. The data were compatible with Mendelian major gene transmission of susceptibility to illness when bipolar and schizoaffective manic diagnoses were considered as affected and the lifetime population prevalence was between 0.04 and 0.06. Outside this narrow prevalence range, or when additional diagnoses, such as major depression or hypomania, were included as expressions of liability to disease, major gene transmission of susceptibility to disease could be rejected. Similarly, in the pedigrees ascertained through probands with major depression, it was not generally possible to discriminate between major gene and polygenic transmission of susceptibility to illness. For a diagnostic scheme including only major depression as a manifestation of susceptibility to illness, there was a narrow range of lifetime population prevalence values (female prevalence ranging from 0.20 to 0.25, male prevalence set to 1/2 female prevalence) which yielded results compatible with major gene transmission. Linkage analyses for all markers yielded negative or inconclusive results. In one bipolar pedigree a lod score of 1.65 was found with a marker in chromosome 1 recommending further studies of this chromosome.

Adult↗

PubMed1991

Fluctuating asymmetry as a possible measure of developmental homeostasis in humans: a review.

We investigate three hypotheses related to fluctuating asymmetry (FA) of bilateral morphologic traits in humans: (1) the magnitude of FA in individual suffering from different levels of morbidity is significantly elevated compared with FA in healthy control subjects, (2) FA is negatively correlated with an individual's heterozygosity, and (3) phenotypic variance of FA may have a significant genetic component (or at least a family resemblance). Our experimental data and the literature support the first hypothesis and indicate that individuals who suffer from chromosomal or polygenic morbidity and from anomalies or conditions of development with still unknown genetic components demonstrate an elevated FA of various structures. The literature regarding the second hypothesis is sparse but is generally in agreement with it, although some exceptions exist. A study of correlations of phenotypic scores of FA between family members of nuclear families in two independent samples has shown that FA variance in individual traits probably does not have any significant genetic component. However, phenotypic variance of the mean estimate of FA over 8 traits showed significant additive and nonadditive (dominance) genetic components, each about 0.30.

Anthropometry↗

PubMed2026

Monogenic ALB Variants as Determinants of Severe Hypercholesterolemia: A Population-Based Cohort Study.

BACKGROUND: Hypoalbuminemia is associated with several risk factors for myocardial infarction, including hypercholesterolemia, liver disease, kidney disease, and diabetes. Homozygosity of loss-of-function (LoF) variants in the ALB gene, which encodes albumin, is a known cause of congenital hypoalbuminemia. Studies have also shown that heterozygous ALB LoF variants are associated with increases in low-density lipoprotein cholesterol (LDL-C), comparable to those seen in familial hypercholesterolemia. OBJECTIVES: This study examined the effect of ALB LoF variants and other causes of low albumin on LDL-C levels in 2 population biobanks. METHODS: This study used data from 2 large cohorts with linked electronic health record and genetic information: Geisinger's MyCode Community Health Initiative, a health care population based in Pennsylvania, USA; and the National Institutes of Health All of Us Research Program, a nationwide epidemiologic cohort. LDL-C values were adjusted for lipid-lowering medication use. Myocardial infarction diagnoses were extracted from electronic health records using International Classification of Diseases codes. A polygenic score for serum albumin was calculated for participants of European ancestry. Linear regression models were used to estimate associations, and results were meta-analyzed across cohorts using fixed-effects models. RESULTS: Among 155,530 MyCode and 405,701 All of Us adult participants, 77 individuals (1 of 7,289) carried an ALB LoF variant. Among noncarriers, a 1 g/dL decrease in serum albumin was associated with a 10.9 mg/dL (95% CI:, 10.4-11.4) decrease in LDL-C. In contrast, ALB LoF variants were associated with a 0.69 g/dL (95% CI: 0.60-0.78) reduction in serum albumin and a 38.3 mg/dL (95% CI: 28.2-48.5) increase in LDL-C. Paradoxically, whereas monogenic determinants of hypoalbuminemia were associated with increased LDL-C, polygenic determinants of lower albumin were associated with a 0.22 mg/dL (95% CI: 0.17-0.26) decrease in LDL-C per decile. CONCLUSIONS: ALB LoF variants represent a previously underrecognized monogenic cause of elevated LDL-C, with effect sizes slightly less than canonical familial hypercholesterolemia variants. The divergent effects of ALB-mediated vs polygenic or physiological reductions in albumin on LDL-C suggest distinct underlying mechanisms.

Humans↗