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Serum metabolic profile and metabolome genome‑wide association study in chicken 被引量:1
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作者 Jing Tian Xiaoning Zhu +2 位作者 Hanyu Wu Yuzhe Wang Xiaoxiang Hu 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2023年第5期1926-1940,共15页
Background Chickens provide globally important livestock products.Understanding the genetic and molecular mechanisms underpinning chicken economic traits is crucial for improving their selective breeding.Influenced by... Background Chickens provide globally important livestock products.Understanding the genetic and molecular mechanisms underpinning chicken economic traits is crucial for improving their selective breeding.Influenced by a combination of genetic and environmental factors,metabolites are the ultimate expression of physiological processes and can provide key insights into livestock economic traits.However,the serum metabolite profile and genetic archi-tecture of the metabolome in chickens have not been well studied.Results Here,comprehensive metabolome detection was performed using non-targeted LC–MS/MS on serum from a chicken advanced intercross line(AIL).In total,7,191 metabolites were used to construct a chicken serum metabo-lomics dataset and to comprehensively characterize the serum metabolism of the chicken AIL population.Regula-tory loci affecting metabolites were identified in a metabolome genome-wide association study(mGWAS).There were 10,061 significant SNPs associated with 253 metabolites that were widely distributed across the entire chicken genome.Many functional genes affect metabolite synthesis,metabolism,and regulation.We highlight the key roles of TDH and AASS in amino acids,and ABCB1 and CD36 in lipids.Conclusions We constructed a chicken serum metabolite dataset containing 7,191 metabolites to provide a refer-ence for future chicken metabolome characterization work.Meanwhile,we used mGWAS to analyze the genetic basis of chicken metabolic traits and metabolites and to improve chicken breeding. 展开更多
关键词 CHICKEN metabolic traits mGWAS SERUM
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免疫球蛋白G N-糖基化与代谢特征之间的双向因果关联--一项孟德尔随机化研究
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作者 孟晓妮 曹维杰 +6 位作者 刘迪 Isinta Maranga Elijah 邢薇佳 侯海峰 徐希柱 宋曼殳 王友信 《Engineering》 SCIE EI CAS CSCD 2023年第7期74-88,I0004,共16页
既往研究已发现免疫球蛋白G(immunoglobulin G,IgG)N-糖基化与代谢特征之间存在关联,但它们之间是否存在因果关联尚有待研究。本研究使用孟德尔随机化(Mendelian randomization,MR)研究方法整合全基因组关联研究(genome-wide associatio... 既往研究已发现免疫球蛋白G(immunoglobulin G,IgG)N-糖基化与代谢特征之间存在关联,但它们之间是否存在因果关联尚有待研究。本研究使用孟德尔随机化(Mendelian randomization,MR)研究方法整合全基因组关联研究(genome-wide association studies,GWAS)和数量性状基因座(quantitative trait loci,QTL)数据探究IgG N-糖基化与代谢特征之间的双向因果关联。在正向MR分析中,通过整合IgG N-糖基-QTL遗传变异与GWAS数据和代谢特征进行分析,分别发现59个包括影响体质指数(body mass index,BMI)的9个IgG N-糖基(glycan peaks,GP)(GP1和GP6等)和影响空腹血糖(fasting plasma glucose,FPG)的7个IgG N-糖基(GP1和GP5等)以及15个[包括影响BMI的5个IgG N-糖基(GP2和GP11等)和影响FPG的4个IgG N-糖基(GP1和GP10等)]由遗传决定的IgG N-糖基在单样本和两样本MR研究中与代谢特征存在因果关联(全部P<0.05)。相应地,对整合代谢特征-QTL-遗传变异与GWAS结果和IgG N-糖基进行MR分析的结果显示,在单样本和两样本MR研究中,分别发现72个包括影响GP1的1个因果代谢特征[高密度脂蛋白胆固醇(high-density lipoprotein cholesterol,HDL-C)]和影响GP2的5个因果代谢特征[FPG、收缩压(systolic blood pressure,SBP)等]和4个[包括影响GP3的1个因果代谢特征(HDL-C)和影响GP9的1个代谢特征(HDL-C)]由遗传决定的代谢特征与IgG N-糖基之间存在因果关联(全部P<0.05)。值得注意的是,在单样本和两样本的MR分析中均发现了遗传决定的高水平的GP11与BMI水平增高存在因果关联[固定效应模型-Beta(SE):0.106(0.034)和0.010(0.005)]和高水平的HDL-C与GP9水平降低存在因果关联[-0.071(0.022)和-0.306(0.151)],且这一结果在单样本和两样本的meta汇总分析中得到了进一步验证[固定效应模型-Beta(95%置信区间)分别为:0.0109(0.0012,0.0207)和-0.0759(-0.1186,-0.0332)]。综上所述,本研究全面的双向MR分析提供了IgG N-糖基化与代谢特征之间双向因果关联的证据,在一定程度上揭示了IgG N-糖基化与代谢特征之间的生物学机制。 展开更多
关键词 Mendelian randomization study Immunoglobulin G N-glycosylation metabolic traits Quantitative trait loci Bidirectional causality
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