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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↗

PubMed2006

Multilocus analysis of estrogen-related genes in Spanish postmenopausal women suggests an interactive role of ESR1, ESR2 and NRIP1 genes in the pathogenesis of osteoporosis.

Osteoporosis is a common disease with multiple environmental and genetic risk factors involved. Using a marker-by-marker approach, the role of different estrogen-related genes has been analyzed in different populations, but most of these studies ignore the complex multigenic nature of human osteoporosis. Looking for markers related to osteoporosis, we have analyzed five single nucleotide polymorphisms located in genes related to the estrogen pathway, Follicle Stimulating Hormone Receptor (FSHR) gene, the CYP19 aromatase (CYP19A1) gene, the Estrogen Receptor alpha (ESR1) gene, the Estrogen Receptor beta (ESR2) gene and the Nuclear Receptor Interacting Protein 1 (NRIP1) gene in 265 unrelated postmenopausal women. We have obtained nominal P values for the NRIP1 Gly75Gly and ESR2 *39A>G markers (P=0.013 and P=0.02 respectively), but no gene seems to be associated after multiple test corrections. Reanalysis of this study using 437 postmenopausal women confirmed our results and only detect marginal effects for ESR2 marker (P=0.045). By contrast, multilocus analysis predicted epistatic interactions between ESR1, ESR2 and NRIP1 loci and its involvement in postmenopausal osteoporosis (P=0.003). We detected two digenic genotypes involving ESR2-NRIP1 and ESR2-ESR1 genes strongly associated with osteoporosis (P=0.007). Replication of multilocus studies using 437 patients confirmed the detected interactions (P<0.01). We proposed a non-additive non-multiplicative oligogenic model including ESR2 AG genotype modulated by NRIP1 A+ or ESR1 TT genotypes involved in osteoporosis. Our results reaffirm the polygenic nature and the genetic complexity of osteoporosis trait adding a new candidate gene (NRIP1) for association studies of bone-related traits.

Adaptor Proteins, Signal Transducing↗

PubMed2006

Individual single tube genotyping and DNA pooling by allele-specific PCR to uncover associations of polymorphisms with complex diseases.

BACKGROUND: The genotyping for the study of the SNPs in different complex diseases require a great number of patients. In this sense, the determination of allele frequencies and genotypes requires a rapid and economical procedure. METHODS: The genotype has been carried out by allele-specific PCR in single tube with the discrimination of the products of PCR by its T(m). For this purpose a GC tail was added to 5' extreme of the specific primer. The allele frequencies were also calculated by DNA pooling and QRT-PCR using allele-specific primers. RESULTS: The use of the genotyping in single tube through allele-specific PCR and melting curves has led us to the accurate genotype of three polymorphisms of vdr (cdx-2), osteoprotegerin (A-163G) and ppar-gamma (C-681G) genes in 225 postmenopausal women to be associated to osteoporosis. Only the cdx-2 polymorphism was associated with a reduced bone mineral density (BMD). These data were similar to those obtained when the allele frequencies were calculated using QRT-PCR in DNA pools. CONCLUSIONS: Individual genotyping with allele-specific PCR in single tube and melting curve analysis is a fast, trustworthy and economic method to study any SNP. We propose the following approach to determine the possible association of SNPs with complex and multifactorial diseases like osteoporosis, in which hundreds of individuals should be analyzed: construct control and problem groups, make DNA pools, and calculate pooled allelic frequencies. Genotyping each individual further permits to determine the genotypic distribution when differences in allelic frequencies are observed, thus allowing more complex statistical analyses (including other variables like age, weight, etc.).

CDX2 Transcription Factor↗

PubMed2004

The genetics of HLA-associated disease.

Type 1 diabetes mellitus (T1D) remains the most intensively studied, and thus the best paradigm, of MHC-associated diseases. Accumulating evidence suggests that MHC susceptibility for T1D is recessive, with susceptibility alleles more common than protective alleles. Updated allele-level and nucleotide sequence analysis of MHC class II T1D susceptibility markers of conserved extended haplotypes underscore the uncertainty surrounding the actual T1D MHC susceptibility locus. Recent studies have established that disease concordance in dizygotic twins is the same as that in siblings generally, for both T1D and the MHC-associated autoimmune disease gluten-sensitive enteropathy, leaving little room for a differential environmental trigger. Epigenetic mechanisms are probably involved in many MHC-associated phenomena, including autoimmunity, and appear to be the best explanation for incomplete penetrance.

Animals↗

PubMed2025

Polygenic scores for obstructive sleep apnoea reveal pathways contributing to cardiovascular disease.

BACKGROUND: Obstructive sleep apnoea (OSA) is a common chronic condition, with obesity its strongest risk factor. Polygenic scores (PGSs) summarise the genetic liability to phenotype and can provide insights into relationships between phenotypes. Recently, large datasets that include genetic data and OSA status became available, providing an opportunity to utilise PGS approaches to study the genetic relationship between OSA and other phenotypes, while differentiating OSA-specific from obesity-specific genetic factors. METHODS: Using race/ethnic diverse samples from over 1.2 million individuals from the Million Veteran Program, FinnGen, TOPMed, All of Us (AoU), Geisinger's MyCode, MGB Biobank, and the Human Phenotype Project, we developed and assessed PGSs for OSA, both without (BMIunadjOSA-PGS) and with adjustment for the genetic contributions of BMI (BMIadjOSA-PGS). FINDINGS: Adjusted odds ratios (ORs) for OSA per 1 standard deviation of the PGSs ranged from 1.38 to 2.75. The associations of BMIadjOSA- and BMIunadjOSA-PGSs with CVD outcomes in AoU shared both common and distinct patterns. Only BMIunadjOSA-PGS was associated with type 2 diabetes, heart failure, and coronary artery disease, while both BMIadjOSA- and BMIunadjOSA-PGSs were associated with hypertension and stroke. Sex stratified analyses revealed that BMIadjOSA-PGS association with hypertension was driven by females (OR = 1.1, p-value = 0.002, OR = 1.01 p-value = 0.2 in males). OSA PGSs were also associated with body fat measures with some sex-specific associations. INTERPRETATION: Distinct components of OSA genetic risk are related and independent of obesity. Sex-specific associations with body fat distribution measures may explain differing OSA risks and associations with cardiometabolic morbidities between sexes. FUNDING: R01AG080598.

Humans↗

PubMed2006

Polygenetic traits in pancreatic disorders.

Rapid advances in information and technology provide opportunities to discover the risks or causes for various disorders within individual patients. The availability of new data and new technology has outstripped the conceptual framework of simple disorders,however, and challenges current statistical approaches. The author addresses the issues surrounding study design and sample size for complex genetic traits with special attention to meta-analysis and systems biology. The author concludes that meta-analysis should play a limited role in evaluating studies of complex genetic diseases. Instead, systems biology-based approaches should be developed to integrate multiple, focused, and mechanistic association studies, with the goal of assisting in the risk assessment of patients on a person-by-person basis.

Genetic Diseases, Inborn↗

PubMed2005

Multilocus analyses of estrogen-related genes reveal involvement of the ESR1 gene in male infertility and the polygenic nature of the pathology.

OBJECTIVE: To examine whether polymorphisms within the ESR1, FSHR, ESR2, CYP19A1, and NRIP1 genes are susceptibility factors for human male idiopathic infertility and to test the joint effects of these genes on male reproductive function. DESIGN: Genetic association study of male infertility with polymorphisms, using both single-gene and multilocus approaches. SETTING: Private and public fertility units and a private center for biomedical research. PATIENT(S): One hundred four Spanish men with azoospermia or severe oligozoospermia and 95 unselected race-matched healthy controls from the same geographic region. INTERVENTION(S): Peripheral blood extraction, DNA purification, and ESR1 g.938T>C, FSHR Ser680Asn, ESR2 *39A>G, CYP19A1 *19C>T, and NRIP1 Gly75Gly polymorphism analyses. MAIN OUTCOME MEASURE(S): Single-gene statistical analyses and multilocus statistical analyses with Sumstat, Permutation and Model-free analysis, and Estimating Haplotypes software. RESULT(S): We observed an excess of homozygous infertile men for the ESR1 g.938T>C marker. Multilocus analyses detected genetic interaction between the five candidate gene markers that are influential over male infertility. In addition, we detected a five-loci protector genetic pattern with a frequency of 9.4% in controls but absent in infertile men. CONCLUSION(S): Our results support a relevant role for the estrogenic pathway, notably the ESR1 gene, in human male reproductive function and advocate a complex trait model for male infertility.

Alleles↗

PubMed2024

Cost-effectiveness of population-wide genomic screening for Lynch Syndrome and polygenic risk scores to inform colorectal cancer screening.

PURPOSE: Genomic screening to identify individuals with Lynch Syndrome (LS) and those with a high polygenic risk score (PRS) promises to personalize colorectal cancer (CRC) screening. Understanding its clinical and economic impact is needed to inform screening guidelines and reimbursement policies. METHODS: We developed a Markov model to simulate individuals over a lifetime. We compared LS+PRS genomic screening with standard of care (SOC) for a cohort of US adults at age 30. The Markov model included health states of no CRC, CRC stages (A-D), and death. We estimated incidence, mortality, and discounted economic outcomes of the population under different interventions. RESULTS: Screening 1000 individuals for LS+PRS resulted in 1.36 fewer CRC cases and 0.65 fewer deaths compared with SOC. The incremental cost-effectiveness ratio was $124,415 per quality-adjusted life year; screening had a 69% probability of being cost-effective using a willingness-to-pay threshold of $150,000/quality-adjusted life year . Setting the PRS threshold at the 90th percentile of the LS+PRS screening program to define individuals at high risk was most likely to be cost-effective compared with 95th, 85th, and 80th percentiles. CONCLUSION: Population-level LS+PRS screening is marginally cost-effective, and a threshold of 90th percentile is more likely to be cost-effective than other thresholds.

Humans↗

PubMed2024

Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.

PURPOSE: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records with genetic data to understand which decisions may affect performance. METHODS: Clinical data in the form of structured diagnostic codes, medications, procedural codes, and demographics were extracted from 2 large independent health systems, and polygenic risk scores (PRS) were generated across all patients of European ancestry with genetic data in the corresponding biobanks. Crohn's disease was studied based on its substantial genetic component, established electronic health records-based definition, and sufficient prevalence for training and testing. We investigated the impact of choices regarding the PRS integration method, training sample, model complexity, and performance metrics. RESULTS: Overall, our results showed that including PRS resulted in higher performance, but this gain was only robust in situations with limited clinical information. We found consistent performance increases from more compute-intensive models, such as random forest, but the impact of other decisions varied by site. CONCLUSION: This work highlights the importance of considering methodological decision points in interpreting the impact of PRS on prediction performance in clinical models.

Humans↗

PubMed2025

Intersectionality in a sociogenomic world: How do race, disability, socioeconomic status, and polygenic prediction interact to affect perceptions of educational trajectories?

PURPOSE: Education is important for lifelong skills and economic growth; however, student placement decisions may be shaped by social biases. As genomic information captured via polygenic scores becomes more available, it may also inform student placement decisions. We assessed the intersectional effects of polygenic scores, race, disability, and socioeconomic status on US adults' views of educational trajectories using an online experimental survey design. METHODS: A total of 1367 US adults were randomized to one of 16 conditions and prompted to read a short vignette about a boy named Michael, also depicted in an image. Each condition varied Michael's race (Black/White), disability (wheelchair user/no), socioeconomic status (high/low), and polygenic score (high/low) for educational attainment (EA-PGS). After reading the vignette, the respondents were asked to answer multichoice questions about Michael's immediate and long-term educational trajectories. RESULTS: Variation in Michael's EA-PGS strongly influenced participants' expectations regarding (1) the most appropriate immediate educational program for Michael (ie, general, special, or gifted education), (2) whether he would graduate high school, and, if so, (3) the highest educational degree he would complete in his lifetime (associate, bachelor, master, or PhD). Across these responses, high EA-PGS was associated with more socially desirable outcomes, whereas the opposite was true for low EA-PGS. Depicting Michael in a wheelchair significantly influenced respondents' expectations that his most appropriate immediate educational trajectory would be special. There were significant interactions between Michael's race, disability, socioeconomic status, and the EA-PGS. CONCLUSION: Information about children's EA-PGS may affect their views about their immediate and long-term educational trajectories. The negative effects of low EA-PGS were comparable to those of high EA-PGS. The EA-PGS may be interpreted in ways that compound the existing stereotypes related to a child's race, disability, and socioeconomic status.

Humans↗

PubMed2025

Psychological and emotional impacts of communicating breast cancer risk using multifactorial assessment with polygenic risk score: Findings from PERSPECTIVE I&I.

PURPOSE: To examine the psychological and emotional outcomes of personalized breast cancer risk communication up to 1 year after disclosure in a risk-stratified breast screening preimplementation study (Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation). METHODS: Among 3753 females aged 40 to 69, unaffected by breast cancer, with a prior mammogram, and who underwent multifactorial risk assessment to estimate their 10-year breast cancer risk, 2734 completed follow-up questionnaires up to 1 year after risk communication: 78.5% were at average risk, 16.5% at higher than average risk, and 5.0% at high risk. The impact of risk communication on breast cancer worry and psychological distress and factors associated with decisional regret were examined. RESULTS: Breast cancer worry and psychological distress scores remained low after risk communication and at 1 year follow-up. Up to 1 year after disclosure, small significant differences in breast cancer worry were observed between risk levels. Decisional regret was very low 1 year after risk communication. Lower levels of decisional regret were significantly associated with some factors, including higher satisfaction with the information received. CONCLUSION: This study suggests that personalized breast cancer risk communication has low negative psychological and emotional effects and highlights the importance of the information received for implementing this approach at population level.

Humans↗

PubMed2025

Eugenics and polygenic embryo screening: Public, clinician, and patient perceptions of conditions versus traits.

PURPOSE: Polygenic embryo screening (PES) estimates an embryo's genetic chances of developing complex conditions (eg, cancer) and traits (eg, height). Stakeholders have raised concerns that PES promotes eugenic practices and ideology. METHODS: We surveyed a nationally representative sample of the US public on approval of screening embryos for 12 conditions and 12 traits and examined the association between disapproval and concern about eugenics. We also conducted semistructured interviews with US-based reproductive endocrinology and infertility specialists and patients undergoing in vitro fertilization on their perspectives toward PES. RESULTS: Among the US public (n = 1423), disapproval of screening embryos for traits has a stronger association with concern that PES promotes eugenics than disapproval of screening embryos for conditions. Interviews with reproductive endocrinology and infertility specialists (n = 27) and patients undergoing in vitro fertilization (n = 26) suggest that perceptions of PES as eugenic were more common when discussing screening and selecting for or against traits versus selecting against conditions. CONCLUSION: Results suggest PES for traits is more frequently associated with eugenics and perceived often as unacceptable, whereas PES for conditions is perceived sometimes as acceptable. Future research should explore whether the distinction between conditions and traits is meaningful in the definition of eugenics and/or approval of genomics-based embryo selection and how that influences clinical practices and policy.

Humans↗

PubMed2025

Polygenic risk scores in the clinic: Health-system leaders and primary care providers weigh in.

PURPOSE: The fourth phase of the Electronic Medical Records and Genome Network is testing the return of 10 polygenic risk scores (PRS) across multiple clinics. Understanding the perspectives of health-system leaders and frontline clinicians can inform plans for implementation of PRS. METHODS: A total of 15 health-system leaders and 20 primary care providers took part in semistructured interviews. A descriptive thematic analysis was performed. RESULTS: Interviewees generally perceived PRS to have limited clinical utility, although they saw value in the potential to identify and act upon risks that are not otherwise detectable. Perceived potential drawbacks included negative psycho-emotional effects on patients, unnecessary follow-up, distracting from population health priorities, opportunity costs, and medicolegal liability. Implementation considerations included increased encounter time and the need for clinical practice guidelines, provider training, care coordination, and point-of-care resources. CONCLUSION: Participants generally expressed favorable views of precision medicine and also identified potential challenges to introducing PRS in clinical care. Implementation will require careful assessment of clinical utility vs usual care; ensuring that the benefit to be realized merits the time and resources required to interpret, return, and act on results and developing guidelines and other decision-making supports for providers and patients.

Humans↗

PubMed2025

Polygenic variants in DNA repair genes are associated with neurodevelopmental disorders, regression and increased burdens of somatic variants and short tandem repeat expansions.

PURPOSE: Developmental regression, characterized by the loss of acquired milestones, occurs in some individuals with neurodevelopmental disorders (NDDs); yet, its molecular basis remains unclear. Studies suggest that DNA damage repair (DDR) genes, such as FAN1, may protect against neurological dysfunction by modulating the somatic stability of short tandem repeats (STRs). This study explores the contribution of DDR gene variants in NDD cases presenting with regression. METHODS: We analyzed 1087 NDD patients, focusing on those carrying variants in DDR genes and presenting regression. We assessed the sensitivity to DNA damage using mitomycin C on lymphoblastoid cells. Somatic variants and STR expansions were evaluated through high-depth short-read genome sequencing. To further investigate the pathogenetic role of STR expansions, we performed long-read genome sequencing on the most severely affected proband. RESULTS: Probands with regression carried multiple DDR gene variants, several within the Fanconi anemia pathway. Their lymphoblastoid cells showed increased sensitivity to mitomycin C-induced cytotoxicity compared with parental and control samples. Probands with severe phenotypes and regression exhibited an accumulation of somatic variants and STR instability, enriched in neurodevelopmental genes. CONCLUSION: Our findings suggest that polygenic DDR gene variants may contribute to developmental regression in NDDs by promoting the accumulation of somatic variants and STR expansions.

Humans↗

PubMed2004

Generalized resistance to thymic deletion in the NOD mouse; a polygenic trait characterized by defective induction of Bim.

The cause of common polygenic autoimmune diseases is not understood because of genetic and cellular complexity. Here, we pinpoint the action of a subset of autoimmune susceptibility loci in the NOD mouse strain linked to D1mit181, D2mit490, D7mit101, and D15mit229, which cause a generalized resistance to thymic deletion in vivo that applies equally to Aire-induced organ-specific gene products in the thymic medulla and to systemic antigens expressed at high levels throughout the thymus and affects CD4(+), CD4(+)8(+), and CD4(+)25(+) thymocytes. Resistance to thymic deletion does not reflect a general deficit in TCR signaling to calcineurin- or ERK-induced genes, imbalance in constitutive regulators of apoptosis, nor excessive signaling to prosurvival genes but is distinguished by failure to induce the proapoptotic gene and protein, Bim, during in vivo encounter with high-avidity autoantigen. These findings establish defects in thymic deletion and Bim induction as a key mechanism in the pathogenesis of autoimmunity.

Animals↗

PubMed2004

Characteristics of genetic epidemiology and genetic models for vitiligo.

BACKGROUND: Vitiligo occurs with a frequency of 0.1% to 2% in various populations and is classified into several subtypes by its clinical presentation. Although genetic factors are thought to be involved in the cause of vitiligo, the genetic models for different phenotypes of vitiligo are unknown. OBJECTIVE: Our purpose was to explore potential genetic models for different phenotypes of vitiligo and analyze genetic epidemiologic characteristics of vitiligo in a Chinese population. METHODS: Information from 2247 patients and members in their families was collected using a uniform questionnaire. Patients' clinical characteristics and their family history were analyzed using software. A complex segregation analysis was conducted to propose potential genetic models for vitiligo. RESULTS: Different subtypes of vitiligo had different ages of disease onset. In relatives of patients with vitiligo, the risk of developing vitiligo increased with increasing relatedness to the patients with vitiligo. A polygenic additive model was the best model for focal vitiligo, vitiligo vulgaris, acrofacial vitiligo, and segmental vitiligo with approximately 50% heritability in each. For universal vitiligo, the best model was an environmental model. CONCLUSION: This study indicated that different phenotypes of vitiligo had different pathogeneses and genetic backgrounds. Onset of vitiligo is possibly affected by both genetic backgrounds and common environmental factors.

Adolescent↗

PubMed2005

A common PCSK9 haplotype, encompassing the E670G coding single nucleotide polymorphism, is a novel genetic marker for plasma low-density lipoprotein cholesterol levels and severity of coronary atherosclerosis.

OBJECTIVES: We sought to determine the effects of PCSK9 variants on plasma low-density lipoprotein cholesterol (LDL-C) levels, severity of coronary atherosclerosis, and response to statin therapy in the Lipoprotein Coronary Atherosclerosis Study (LCAS) population. BACKGROUND: Mutations in PCSK9 cause autosomal-dominant hypercholesterolemia. We hypothesized that PCSK9 variants could affect plasma LDL-C in individuals with polygenic hypercholesterolemia. METHODS: We sequenced all 12 exons and boundaries to detect novel polymorphisms, and genotyped 372 subjects in LCAS and 319 subjects in a second independent population for six polymorphisms, including novel leucine repeats, by fluorescently tagged markers. We reconstructed haplotypes using a Bayesian algorithm. RESULTS: Permutation test results showed statistically significant differences in global haplotype distribution among the tertiles of LDL-C (odds ratio [OR]: 2.36, 95% confidence interval [CI]: 1.90 to 4.32, p = 0.005) and minimum lumen diameter of coronary lesions (OR: 1.83, 95% CI: 1.01 to 3.55, p = 0.045). Regression analysis identified haplotype 3 as an independent determinant of LDL-C levels (adjusted R2 = 2.2%, F = 9.37, p = 0.002). Haplotype structure analysis identified E670G as the determinant variant, exerting a dose effect (GG > EG > EE) and accounting for 3.5% of plasma LDL-C variability (F = 14.6, p < 0.001). Plasma total cholesterol, apolipoprotein B, and lipoprotein (a) levels were also associated with the E670G variant. Distributions of the E670G genotypes in an independent normolipidemic and the hyperlipidemic LCAS populations were significantly different (F = 7.2, p = 0.027). No significant treatment-by-genotype interactions were detected. The false positive report probability was between 2% and 8%. CONCLUSIONS: Haplotype 3 encompassing the E670G variant is an independent determinant of plasma LDL-C levels and the severity of coronary atherosclerosis.

Adult↗

PubMed2026

Deep learning and statistical methods identify novel asthma risk variants in Europeans.

BACKGROUND: Asthma is a common heritable respiratory disorder with a complex genetic basis. Although large-scale genome-wide association studies have identified many risk loci, the full spectrum of its polygenic architecture remains to be defined. OBJECTIVE: We refined the genetic landscape of asthma in individuals of European ancestry and improve polygenic risk prediction through statistical and deep learning-based methods. METHODS: We conducted the largest genome-wide association study meta-analysis of asthma in individuals of European ancestry, combining data from the Global Biobank Meta-analysis Initiative (121,940 cases, 1,254,131 controls) and the Million Veteran Program (36,823 cases, 398,278 controls). To enhance discovery, we applied pleiotropy-informed multitrait analysis and conditional false discovery rate approaches, each incorporating eosinophil counts as a secondary trait. In parallel, we used a Transformer-based deep learning framework to further prioritize variants and improve polygenic risk prediction. RESULTS: The meta-analysis identified 69 independent genome-wide significant loci (P < 5 × 10-8) not previously reported in asthma. Multitrait analysis of genome-wide association studies, conditional false discovery rate, and deep learning approaches uncovered additional candidate loci. Functional annotation and expression quantitative trait locus mapping implicated novel genes in immune regulation, airway remodeling, and metabolic processes. Polygenic risk score models derived from deep learning-prioritized variants outperformed those based on conventional genome-wide association study and standard statistical approaches. CONCLUSIONS: Our study yields a comprehensive map of asthma-associated loci in European ancestry populations, improves genetic risk prediction, and informs future mechanistic studies.

Humans↗