Advances in Mendelian randomization studies on autism spectrum disorder
HU Yun-Yang, TIAN Geng-Chang, LIU Meng, WANG Hong
Department of Child Health, Maternal and Child Health Hospital of Hubei Province,Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430070, China
Abstract Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder with onset in infancy or early childhood. Mendelian randomization (MR) is a statistical method used to infer causal relationships between exposures and outcomes. This article summarizes MR studies related to ASD. Existing research supports a causal relationship between maternal inflammatory bowel disease in children with ASD, parental education levels, screen time exposure, obesity, insomnia, serum transferrin, decreased blood selenium, abnormal signals in brain functional MRI, interleukin-6, phosphodiesterase 2A, mitogen-activated protein kinase kinase 3, mitochondrial ribosomal protein L33, serotonin, and ASD. However, it does not support a causal relationship between parental rheumatoid arthritis, systemic lupus erythematosus, neonatal jaundice in children with ASD, cytomegalovirus infection, asthma, oral ulcers, vitamin D levels, and ASD. This article reviews the etiological factors related to ASD and MR studies, aiming to explore and deepen the understanding of the pathophysiology of ASD. It provides strong statistical support for the prevention, diagnosis, and treatment of ASD, and offers new methods and strategies for the etiological analysis of complex traits.
Hu X, Zhao J, Lin Z, et al. Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics[J]. Proc Natl Acad Sci U S A, 2022, 119(28): e2106858119. PMID: 35787050. PMCID: PMC9282238. DOI: 10.1073/pnas.2106858119.
Hernán MA, Wang W, Leaf DE. Target trial emulation: a framework for causal inference from observational data[J]. JAMA, 2022, 328(24): 2446-2447. PMID: 36508210. DOI: 10.1001/jama.2022.21383.
Han VX, Patel S, Jones HF, et al. Maternal immune activation and neuroinflammation in human neurodevelopmental disorders[J]. Nat Rev Neurol, 2021, 17(9): 564-579. PMID: 34341569. DOI: 10.1038/s41582-021-00530-8.
Lee YH, Song GG. Mendelian randomization research on the relationship between rheumatoid arthritis and systemic lupus erythematosus and the risk of autistic spectrum disorder[J]. J Rheum Dis, 2022, 29(1): 46-51. PMID: 37476700. PMCID: PMC10324916. DOI: 10.4078/jrd.2022.29.1.46.
Yao Y, Li C, Meng P, et al. An atlas of genetic correlations between gestational age and common psychiatric disorders[J]. Autism Res, 2022, 15(6): 1008-1017. PMID: 35384380. DOI: 10.1002/aur.2719.
Thomas M, Greaves RF, Tingay DG, et al. Current and emerging technologies for the timely screening and diagnosis of neonatal jaundice[J]. Crit Rev Clin Lab Sci, 2022, 59(5): 332-352. PMID: 35188857. DOI: 10.1080/10408363.2022.2038074.
Kujabi ML, Petersen JP, Pedersen MV, et al. Neonatal jaundice and autism spectrum disorder: a systematic review and meta-analysis[J]. Pediatr Res, 2021, 90(5): 934-949. PMID: 33526883. DOI: 10.1038/s41390-020-01272-x.
Chen LW, Zhang Y, Xu DD, et al. Causal relationships of neonatal jaundice, direct bilirubin and indirect bilirubin with autism spectrum disorder: a two-sample Mendelian randomization analysis[J]. Front Public Health, 2023, 11: 1137383. PMID: 37124814. PMCID: PMC10133461. DOI: 10.3389/fpubh.2023.1137383.
Yang XY, Wang YY, Zhou YP, et al. Postnatal Cytomegalovirus infection may increase the susceptibility of tuberous sclerosis complex to autism spectrum disorders[J]. Microbiol Spectr, 2022, 10(3): e0186421. PMID: 35467404. PMCID: PMC9241718. DOI: 10.1128/spectrum.01864-21.
Zhang M, Ming Y, Du Y, et al. Two-sample Mendelian randomization study does not reveal a significant relationship between Cytomegalovirus (CMV) infection and autism spectrum disorder[J]. BMC Psychiatry, 2023, 23(1): 559. PMID: 37533011. PMCID: PMC10394766. DOI: 10.1186/s12888-023-05035-w.
Zhu Z, Zhu X, Liu CL, et al. Shared genetics of asthma and mental health disorders: a large-scale genome-wide cross-trait analysis[J]. Eur Respir J, 2019, 54(6): 1901507. PMID: 31619474. DOI: 10.1183/13993003.01507-2019.
Kendler KS, Ohlsson H, Keefe RSE, et al. The joint impact of cognitive performance in adolescence and familial cognitive aptitude on risk for major psychiatric disorders: a delineation of four potential pathways to illness[J]. Mol Psychiatry, 2018, 23(4): 1076-1083. PMID: 28416810. PMCID: PMC5647225. DOI: 10.1038/mp.2017.78.
Ding H, Ouyang M, Wang J, et al. Shared genetics between classes of obesity and psychiatric disorders: a large-scale genome-wide cross-trait analysis[J]. J Psychosom Res, 2022, 162: 111032. PMID: 36137488. DOI: 10.1016/j.jpsychores.2022.111032.
Gao X, Meng LX, Ma KL, et al. The bidirectional causal relationships of insomnia with five major psychiatric disorders: a Mendelian randomization study[J]. Eur Psychiatry, 2019, 60: 79-85. PMID: 31234011. DOI: 10.1016/j.eurpsy.2019.05.004.
Baj J, Flieger W, Flieger M, et al. Autism spectrum disorder: trace elements imbalances and the pathogenesis and severity of autistic symptoms[J]. Neurosci Biobehav Rev, 2021, 129: 117-132. PMID: 34339708. DOI: 10.1016/j.neubiorev.2021.07.029.
Guo X, Tang P, Hou C, et al. Mendelian randomization investigation highlights different roles of selenium status in mental disorders[J]. Prog Neuropsychopharmacol Biol Psychiatry, 2023, 122: 110694. PMID: 36521586. DOI: 10.1016/j.pnpbp.2022.110694.
Chambers T, Escott-Price V, Legge S, et al. Genetic common variants associated with cerebellar volume and their overlap with mental disorders: a study on 33,265 individuals from the UK-biobank[J]. Mol Psychiatry, 2022, 27(4): 2282-2290. PMID: 35079123. PMCID: PMC9126806. DOI: 10.1038/s41380-022-01443-8.