机构:[1]Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, China.[2]Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, National Center for Children's Health, Beijing Pediatric Research Institute, Capital Medical University, Beijing, China. guoyongli@bch.com.cn.临床科室科研平台职能科室耳鼻咽喉头颈外科临床流行病与循证医学中心儿科研究所首都医科大学附属北京儿童医院[3]Biobank for Clinical Data and Samples in Pediatrics, Beijing Children's Hospital, National Center for Children's Health, Beijing Pediatric Research Institute, Capital Medical University, Beijing, China. guoyongli@bch.com.cn.科研平台职能科室临床流行病与循证医学中心儿科研究所首都医科大学附属北京儿童医院[4]Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, China. guoyongli@bch.com.cn.临床科室职能科室耳鼻咽喉头颈外科临床流行病与循证医学中心首都医科大学附属北京儿童医院[5]Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, National Center for Children's Health, Beijing Pediatric Research Institute, Capital Medical University, Beijing, China. nixin@bch.com.cn.临床科室科研平台职能科室耳鼻咽喉头颈外科临床流行病与循证医学中心儿科研究所首都医科大学附属北京儿童医院[6]Biobank for Clinical Data and Samples in Pediatrics, Beijing Children's Hospital, National Center for Children's Health, Beijing Pediatric Research Institute, Capital Medical University, Beijing, China. nixin@bch.com.cn.科研平台职能科室临床流行病与循证医学中心儿科研究所首都医科大学附属北京儿童医院[7]Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, China. nixin@bch.com.cn.临床科室职能科室耳鼻咽喉头颈外科临床流行病与循证医学中心首都医科大学附属北京儿童医院[8]Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, China. tlshi@bio.ecnu.edu.cn.[9]National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, 530021, Guangxi, China. tlshi@bio.ecnu.edu.cn.
Berardinelli-Seip congenital lipodystrophy (BSCL) is a heterogeneous autosomal recessive disorder characterized by an almost total lack of adipose tissue in the body. Mutations in the AGPAT2, BSCL2, CAV1 and PTRF genes define I-IV subtype of BSLC respectively and clinical data indicate that new causative genes remain to be discovered. Here, we retrieved 341 cases from 60 BSCL-related studies worldwide and aimed to explore genotype-phenotype correlations based on mutations of AGPAT2 and BSCL2 genes from 251 cases. We also inferred new candidate genes for BSCL through protein-protein interaction and phenotype-similarity.
Analysis results show that BSCL type II with earlier age of onset of diabetes mellitus, higher risk to suffer from premature death and mental retardation, is a more severe disorder than BSCL type I, but BSCL type I patients are more likely to have bone cysts. In BSCL type I, females are at higher risk of developing diabetes mellitus and acanthosis nigricans than males, while in BSCL type II, males suffer from diabetes mellitus earlier than females. In addition, some significant correlations among BSCL-related phenotypes were identified. New candidate genes prediction through protein-protein interaction and phenotype-similarity was conducted and we found that CAV3, EBP, SNAP29, HK1, CHRM3, OBSL1 and DNAJC13 genes could be the pathogenic factors for BSCL. Particularly, CAV3 and EBP could be high-priority candidate genes contributing to pathogenesis of BSCL.
Our study largely enhances the current knowledge of phenotypic and genotypic heterogeneity of BSCL and promotes the more comprehensive understanding of pathogenic mechanisms for BSCL.
基金:
China Human Proteome Project [2014DFB30010, 2014DFB30030]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [31671377, 81472369, 8150214]; Shanghai Municipal Science and Technology Major Project [2017SHZDZX01]; Beihang University Advanced Innovation Center for Big Data-Based Precision Medicine Plan [BHME-201804]; Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority [XTCX201806]; Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science -MOE, ECNU; Capital Medical University Advanced Innovation Center for Big Data-Based Precision Medicine Plan [BHME-201804]
语种:
外文
PubmedID:
中科院(CAS)分区:
出版当年[2019]版:
大类|2 区医学
小类|3 区遗传学3 区医学:研究与实验
最新[2023]版:
大类|2 区医学
小类|2 区遗传学2 区医学:研究与实验
JCR分区:
出版当年[2018]版:
Q2GENETICS & HEREDITYQ2MEDICINE, RESEARCH & EXPERIMENTAL
最新[2023]版:
Q2GENETICS & HEREDITYQ2MEDICINE, RESEARCH & EXPERIMENTAL
第一作者机构:[1]Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, China.
推荐引用方式(GB/T 7714):
Ren Meng,Shi Jingru,Jia Jinmeng,et al.Genotype-phenotype correlations of Berardinelli-Seip congenital lipodystrophy and novel candidate genes prediction.[J].Orphanet journal of rare diseases.2020,15(1):108.doi:10.1186/s13023-020-01383-y.
APA:
Ren Meng,Shi Jingru,Jia Jinmeng,Guo Yongli,Ni Xin&Shi Tieliu.(2020).Genotype-phenotype correlations of Berardinelli-Seip congenital lipodystrophy and novel candidate genes prediction..Orphanet journal of rare diseases,15,(1)
MLA:
Ren Meng,et al."Genotype-phenotype correlations of Berardinelli-Seip congenital lipodystrophy and novel candidate genes prediction.".Orphanet journal of rare diseases 15..1(2020):108