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Lin F, Jun Li, Ziqi Wang, Zhang T, Lu T, Jiang M, Yang K, Jia M, Zhang D, Wang L. Replication of previous autism-GWAS hits suggests the association between NAA1, SORCS3, and GSDME and autism in the Han Chinese population. Heliyon 2024; 10:e23677. [PMID: 38234914 PMCID: PMC10792458 DOI: 10.1016/j.heliyon.2023.e23677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/25/2023] [Accepted: 12/09/2023] [Indexed: 01/19/2024] Open
Abstract
Background Autism is a severe neurodevelopmental disorder characterized by social interaction deficits, impairments in communication, and restricted and repetitive stereotyped behavior and activities. Family and twin studies suggested an essential role of genetic factors in the etiology of autism spectrum disorder (ASD). Also, other studies found SORCS3 and GSDME (DFNA5) might be involved in brain development and susceptible to ASD. Methods In this study, 17 genome-wide significant SNPs reported in previous ASD genome-wide association studies (GWAS) and 7 SNPs in strong linkage disequilibrium with known ASD GWAS hits were selected to investigate the association between these SNPs and autism in the Han Chinese population. Then, 10 tagSNPs in SORCS3 and 11 tagSNPs in GSDME were selected to analyze the association between these SNPs and autism. The selected 24 SNPs and tagSNPs were genotyped using the Agena MassARRAY SNP genotyping assay in 757 Han Chinese autism trios. Results Rs1484144 in NAA11 was significantly associated with autism; significance remained after the Bonferroni correction (P < 0.0022). Also, rs79879286, rs12154597, and rs12540919 near GSDME, as well as rs9787523 and rs3750261 in SORCS3, were nominally associated with autism. Conclusion Our study suggests that rs1484144 in NAA11 is a significant SNP for autism in the Han Chinese population, while SORCS3 and GSDME might be the susceptibility genes for autism in this population.
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Affiliation(s)
- Fen Lin
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Jun Li
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Ziqi Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Tian Zhang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Tianlan Lu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Miaomiao Jiang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Kang Yang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Meixiang Jia
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Dai Zhang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou, China
| | - Lifang Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
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Kamran M, Laighneach A, Bibi F, Donohoe G, Ahmed N, Rehman AU, Morris DW. Independent Associated SNPs at SORCS3 and Its Protein Interactors for Multiple Brain-Related Disorders and Traits. Genes (Basel) 2023; 14:482. [PMID: 36833409 PMCID: PMC9956385 DOI: 10.3390/genes14020482] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/26/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023] Open
Abstract
Sortilin-related vacuolar protein sorting 10 (VPS10) domain containing receptor 3 (SORCS3) is a neuron-specific transmembrane protein involved in the trafficking of proteins between intracellular vesicles and the plasma membrane. Genetic variation at SORCS3 is associated with multiple neuropsychiatric disorders and behavioural phenotypes. Here, we undertake a systematic search of published genome-wide association studies to identify and catalogue associations between SORCS3 and brain-related disorders and traits. We also generate a SORCS3 gene-set based on protein-protein interactions and investigate the contribution of this gene-set to the heritability of these phenotypes and its overlap with synaptic biology. Analysis of association signals at SORSC3 showed individual SNPs to be associated with multiple neuropsychiatric and neurodevelopmental brain-related disorders and traits that have an impact on the experience of feeling, emotion or mood or cognitive function, while multiple LD-independent SNPs were associated with the same phenotypes. Across these SNPs, alleles associated with the more favourable outcomes for each phenotype (e.g., decreased risk of neuropsychiatric illness) were associated with increased expression of the SORCS3 gene. The SORCS3 gene-set was enriched for heritability contributing to schizophrenia (SCZ), bipolar disorder (BPD), intelligence (IQ) and education attainment (EA). Eleven genes from the SORCS3 gene-set were associated with more than one of these phenotypes at the genome-wide level, with RBFOX1 associated with SCZ, IQ and EA. Functional annotation revealed that the SORCS3 gene-set is enriched for multiple ontologies related to the structure and function of synapses. Overall, we find many independent association signals at SORCS3 with brain-related disorders and traits, with the effect possibly mediated by reduced gene expression, resulting in a negative impact on synaptic function.
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Affiliation(s)
- Muhammad Kamran
- Department of Pharmacy, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, H91 CF50 Galway, Ireland
| | - Aodán Laighneach
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, H91 CF50 Galway, Ireland
| | - Farhana Bibi
- Department of Biosciences, Grand Asian University, Sialkot 51040, Pakistan
| | - Gary Donohoe
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, H91 CF50 Galway, Ireland
| | - Naveed Ahmed
- Department of Pharmacy, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan
| | - Asim Ur Rehman
- Department of Pharmacy, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan
| | - Derek W. Morris
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences and School of Psychology, University of Galway, H91 CF50 Galway, Ireland
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Shen JF, Chen QM, Zhang FW, Hanif Q, Huang BZ, Chen NB, Qu KX, Zhan JX, Chen H, Jiang Y, Lei CZ. Genome-wide association study identifies quantitative trait loci affecting cattle temperament. Zool Res 2022; 43:14-25. [PMID: 34766477 PMCID: PMC8743249 DOI: 10.24272/j.issn.2095-8137.2021.176] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Cattle temperament is an interesting trait due to its correlation with production efficiency, labor safety, and animal welfare. To date, however, its genetic basis is not clearly understood. Here, we performed a genome-wide association study for a series of temperament traits in cattle, assessed with via open field and novel object tests, using autosomal single nucleotide polymorphisms (SNPs) derived from the whole-genome sequence. We identified 37 and 29 genome-wide significant loci in the open field and novel object tests, respectively. Gene set analysis revealed the most significant pathway was the neuroactive ligand-receptor interaction pathway, which may be essential for emotional control in cattle. Analysis of the expression levels of 18 tissue-specific genes based on transcriptomic data showed enrichment in the brain, with some candidate genes involved in psychiatric and neurodegenerative diseases in humans. Based on principal component analysis, the first principal component explained the largest variance in the open field and novel object test data, and the most significant loci were assigned to SORCS3 and SESTD1, respectively. Our findings should help facilitate cattle breeding for sound temperament by pyramiding favorable alleles to further improve cattle production.
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Affiliation(s)
- Jia-Fei Shen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qiu-Ming Chen
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China
| | - Feng-Wei Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Pakistan Institute of Engineering and Applied Sciences, Faisalabad 577, Pakistan
| | - Bi-Zhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, Yunnan 650212, China
| | - Ning-Bo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Kai-Xing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, Yunnan 675000, China
| | - Jing-Xi Zhan
- Yunnan Academy of Grassland and Animal Science, Kunming, Yunnan 650212, China
| | - Hong Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China. E-mail:
| | - Chu-Zhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China. E-mail:
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Chaves G, Stanley J, Pourmand N. Mutant Huntingtin Affects Diabetes and Alzheimer's Markers in Human and Cell Models of Huntington's Disease. Cells 2019; 8:E962. [PMID: 31450785 PMCID: PMC6769852 DOI: 10.3390/cells8090962] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/14/2019] [Accepted: 08/21/2019] [Indexed: 02/07/2023] Open
Abstract
A higher incidence of diabetes was observed among family members of individuals affected by Huntington's Disease with no follow-up studies investigating the genetic nature of the observation. Using a genome-wide association study (GWAS), RNA sequencing (RNA-Seq) analysis and western blotting of Rattus norvegicus and human, we were able to identify that the gene family of sortilin receptors was affected in Huntington's Disease patients. We observed that less than 5% of SNPs were of statistical significance and that sortilins and HLA/MHC gene expression or SNPs were associated with mutant huntingtin (mHTT). These results suggest that ST14A cells derived from R. norvegicus are a reliable model of HD, since sortilins were identified through analysis of the transcriptome in these cells. These findings help highlight the genes involved in mechanisms targeted by diabetes drugs, such as glucose transporters as well as proteins controlling insulin release related to mHTT. To the best of our knowledge, this is the first GWAS using RNA-Seq data from both ST14A rat HD cell model and human Huntington's Disease.
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Affiliation(s)
- Gepoliano Chaves
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA
| | - John Stanley
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA
| | - Nader Pourmand
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA.
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Ricard A, Robert C, Blouin C, Baste F, Torquet G, Morgenthaler C, Rivière J, Mach N, Mata X, Schibler L, Barrey E. Endurance Exercise Ability in the Horse: A Trait with Complex Polygenic Determinism. Front Genet 2017; 8:89. [PMID: 28702049 PMCID: PMC5488500 DOI: 10.3389/fgene.2017.00089] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 06/09/2017] [Indexed: 12/17/2022] Open
Abstract
Endurance horses are able to run at more than 20 km/h for 160 km (in bouts of 30-40 km). This level of performance is based on intense aerobic metabolism, effective body heat dissipation and the ability to endure painful exercise. The known heritabilities of endurance performance and exercise-related physiological traits in Arabian horses suggest that adaptation to extreme endurance exercise is influenced by genetic factors. The objective of the present genome-wide association study (GWAS) was to identify single nucleotide polymorphisms (SNPs) related to endurance racing performance in 597 Arabian horses. The performance traits studied were the total race distance, average race speed and finishing status (qualified, eliminated or retired). We used three mixed models that included a fixed allele or genotype effect and a random, polygenic effect. Quantile-quantile plots were acceptable, and the regression coefficients for actual vs. expected log10p-values ranged from 0.865 to 1.055. The GWAS revealed five significant quantitative trait loci (QTL) corresponding to 6 SNPs on chromosomes 6, 1, 7, 16, and 29 (two SNPs) with corrected p-values from 1.7 × 10-6 to 1.8 × 10-5. Annotation of these 5 QTL revealed two genes: sortilin-related VPS10-domain-containing receptor 3 (SORCS3) on chromosome 1 is involved in protein trafficking, and solute carrier family 39 member 12 (SLC39A12) on chromosome 29 is active in zinc transport and cell homeostasis. These two coding genes could be involved in neuronal tissues (CNS). The other QTL on chromosomes 6, 7, and 16 may be involved in the regulation of the gene expression through non-coding RNAs, CpG islands and transcription factor binding sites. On chromosome 6, a new candidate equine long non-coding RNA (KCNQ1OT1 ortholog: opposite antisense transcript 1 of potassium voltage-gated channel subfamily Q member 1 gene) was predicted in silico and validated by RT-qPCR in primary cultures of equine myoblasts and fibroblasts. This lncRNA could be one element of the cardiac rhythm regulation. Our GWAS revealed that equine performance during endurance races is a complex polygenic trait, and is partially governed by at least 5 QTL: two coding genes involved in neuronal tissues and three other loci with many regulatory functions such as slowing down heart rate.
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Affiliation(s)
- Anne Ricard
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
- Institut Français du Cheval et de l'Equitation, Département Recherche et InnovationExmes, France
| | - Céline Robert
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
- Ecole Nationale Vétérinaire d'AlfortMaisons Alfort, France
| | - Christine Blouin
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Fanny Baste
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Gwendoline Torquet
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Caroline Morgenthaler
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Julie Rivière
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Nuria Mach
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Xavier Mata
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Laurent Schibler
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
| | - Eric Barrey
- Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France
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