Ng SC, Shi HY, Hamidi N, Underwood FE, Tang W, Benchimol EI, Panaccione R, Ghosh S, Wu JCY, Chan FKL et al (2017) Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies. Lancet 390:2769–2778. https://doi.org/10.1016/S0140-6736(17)32448-0

Article  PubMed  Google Scholar 

Hodson R (2016) Inflammatory bowel disease. Nature 540:S97. https://doi.org/10.1038/540S97a

Article  PubMed  CAS  Google Scholar 

Ca HHMFLJMUMGB (2017) Fine-mapping inflammatory bowel disease loci to single-variant resolution. Nature 547:173–178. https://doi.org/10.1038/nature22969

Article  CAS  Google Scholar 

Ananthakrishnan AN (2015) Epidemiology and risk factors for IBD. Nat Rev Gastroenterol Hepatol 12:205–217. https://doi.org/10.1038/nrgastro.2015.34

Article  PubMed  Google Scholar 

Flynn S, Eisenstein S (2019) Inflammatory bowel disease presentation and diagnosis. Surg Clin North Am 99:1051–1062. https://doi.org/10.1016/j.suc.2019.08.001

Article  PubMed  Google Scholar 

Cho JH, Abraham C (2007) Inflammatory bowel disease genetics: Nod2. Annu Rev Med 58:401–416. https://doi.org/10.1146/annurev.med.58.061705.145024

Article  PubMed  CAS  Google Scholar 

Zhu Y, Jiang H, Chen Z, Lu B, Li J, Shen X (2020) Genetic association between IL23R rs11209026 and rs10889677 polymorphisms and risk of crohn’s disease and ulcerative colitis: evidence from 41 studies. Inflamm Res 69:87–103. https://doi.org/10.1007/s00011-019-01296-y

Article  PubMed  CAS  Google Scholar 

Bisgaard TH, Allin KH, Keefer L, Ananthakrishnan AN, Jess T (2022) Depression and anxiety in inflammatory bowel disease: epidemiology, mechanisms and treatment. Nat Rev Gastroenterol Hepatol 19:717–726. https://doi.org/10.1038/s41575-022-00634-6

Article  PubMed  Google Scholar 

Exploring the shared genetic (2024) Basis of major depressive disorder and frailty. J Affect Disord 366:386–394. https://doi.org/10.1016/j.jad.2024.08.177

Article  CAS  Google Scholar 

O’Connor LJ (2021) The distribution of common-variant effect sizes. Nat Genet 53:1243–1249. https://doi.org/10.1038/s41588-021-00901-3

Article  PubMed  CAS  Google Scholar 

Boyle EA, Li YI, Pritchard JK (2017) An expanded view of complex traits: from polygenic to omnigenic. Cell 169:1177–1186. https://doi.org/10.1016/j.cell.2017.05.038

Article  PubMed  PubMed Central  CAS  Google Scholar 

Andreassen OA, Hindley GFL, Frei O, Smeland OB (2023) New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. World Psychiatry 22:4–24. https://doi.org/10.1002/wps.21034

Article  PubMed  PubMed Central  Google Scholar 

Guo Y, Ma G, Wang Y, Lin T, Hu Y, Zang T (2024) Causal associations and shared genetic etiology of neurodegenerative diseases with epigenetic aging and human longevity. Aging Cell e14271. https://doi.org/10.1111/acel.14271

Chang S, Luo Q, Huang Z (2024) Genetic association and causal effects between inflammatory bowel disease and conjunctivitis. Front Immunol 15:1409146. https://doi.org/10.3389/fimmu.2024.1409146

Article  PubMed  PubMed Central  CAS  Google Scholar 

Lu Z-A, Ploner A, Birgegård A, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Bulik CM, Bergen SE (2024) Shared genetic architecture between schizophrenia and anorexia nervosa: A Cross-trait Genome-Wide analysis. Schizophr Bull 50:1255–1265. https://doi.org/10.1093/schbul/sbae087

Article  PubMed  PubMed Central  Google Scholar 

Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh P-R, ReproGen Consortium PG, Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Duncan L et al (2015) An atlas of genetic correlations across human diseases and traits. Nat Genet 47:1236–1241. https://doi.org/10.1038/ng.3406

Article  PubMed  PubMed Central  CAS  Google Scholar 

Lu Q, Li B, Ou D, Erlendsdottir M, Powles RL, Jiang T, Hu Y, Chang D, Jin C, Dai W et al (2017) A powerful approach to estimating Annotation-Stratified genetic covariance via GWAS summary statistics. Am J Hum Genet 101:939–964. https://doi.org/10.1016/j.ajhg.2017.11.001

Article  PubMed  PubMed Central  CAS  Google Scholar 

Ning Z, Pawitan Y, Shen X (2020) High-definition likelihood inference of genetic correlations across human complex traits. Nat Genet 52:859–864. https://doi.org/10.1038/s41588-020-0653-y

Article  PubMed  CAS  Google Scholar 

Shi H, Mancuso N, Spendlove S, Pasaniuc B (2017) Local genetic correlation gives insights into the shared genetic architecture of complex traits. Am J Hum Genet 101:737–751. https://doi.org/10.1016/j.ajhg.2017.09.022

Article  PubMed  PubMed Central  CAS  Google Scholar 

Smeland OB, Frei O, Shadrin A, O’Connell K, Fan C-C, Bahrami S, Holland D, Djurovic S, Thompson WK, Dale AM et al (2020) Discovery of shared genomic loci using the conditional false discovery rate approach. Hum Genet 139:85–94. https://doi.org/10.1007/s00439-019-02060-2

Article  PubMed  CAS  Google Scholar 

de Lange KM, Moutsianas L, Lee JC, Lamb CA, Luo Y, Kennedy NA, Jostins L, Rice DL, Gutierrez-Achury J, Ji S-G et al (2017) Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease. Nat Genet 49:256–261. https://doi.org/10.1038/ng.3760

Article  PubMed  PubMed Central  CAS  Google Scholar 

Liu JZ, van Sommeren S, Huang H, Ng SC, Alberts R, Takahashi A, Ripke S, Lee JC, Jostins L, Shah T et al (2015) Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations. Nat Genet 47:979–986. https://doi.org/10.1038/ng.3359

Article  PubMed  PubMed Central  CAS  Google Scholar 

Howard DM, Adams MJ, Clarke T-K, Hafferty JD, Gibson J, Shirali M, Coleman JRI, Hagenaars SP, Ward J, Wigmore EM et al (2019) Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat Neurosci 22:343–352. https://doi.org/10.1038/s41593-018-0326-7

Article  PubMed  PubMed Central  CAS  Google Scholar 

Shi H, Kichaev G, Pasaniuc B (2016) Contrasting the genetic architecture of 30 complex traits from summary association data. Am J Hum Genet 99:139–153. https://doi.org/10.1016/j.ajhg.2016.05.013

Article  PubMed  PubMed Central  CAS  Google Scholar 

Frei O, Holland D, Smeland OB, Shadrin AA, Fan CC, Maeland S, O’Connell KS, Wang Y, Djurovic S, Thompson WK et al (2019) Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation. Nat Commun 10:2417. https://doi.org/10.1038/s41467-019-10310-0

Article  PubMed  PubMed Central  CAS  Google Scholar 

Liley J, Wallace C (2015) A pleiotropy-informed bayesian false discovery rate adapted to a shared control design finds new disease associations from GWAS summary statistics. PLoS Genet 11:e1004926. https://doi.org/10.1371/journal.pgen.1004926

Article  PubMed  PubMed Central  CAS  Google Scholar 

Ie AW, Rs JYW, C D Jr, Wk B, Dg T, Aj HSD (2017) Genome-wide Pleiotropy between Parkinson disease and autoimmune diseases. JAMA Neurol 74. https://doi.org/10.1001/jamaneurol.2017.0469

Qiu S, Liu J, Guo J, Zhang Z, Guo Y, Hu Y (2025) COVID-19 infection and longevity: an observational and Mendelian randomization study. J Transl Med 23:283. https://doi.org/10.1186/s12967-024-05932-y

Article  PubMed  PubMed Central  Google Scholar 

Chen Y, Li W, Lv L, Yue W (2024) Shared genetic determinants of schizophrenia and autism spectrum disorder implicate opposite risk patterns: A genome-wide analysis of common variants. Schizophr Bull 50:1382–1395. https://doi.org/