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作 者:Madhusmita Rout Bhumandeep Kour Sugunakar Vuree Sajitha S Lulu Krishna Mohan Medicherla Prashanth Suravajhala
机构地区:[1]Department of Pediatrics,University of Oklahoma Health Sciences Centre,Oklahoma City,OK 73104,United States [2]Department of Biotechnology and Bioinformatics,Birla Institute of Scientific Research,Jaipur 302001,Rajasthan,India [3]Department of Biotechnology,Lovely Professional University,Phagwara 144001,Punjab,India [4]Department of Biotechnology,Vellore Institute of Technology,Vellore 632014,Tamil Nadu,India [5]Amrita School of Biotechnology,Amrita Vishwa Vidyapeetham,Vallikavu PO,Amritapuri,Clappana,Kollam 690525,Kerala,India
出 处:《World Journal of Clinical Cases》2022年第18期5957-5964,共8页世界临床病例杂志
摘 要:An emerging area of interest in understanding disease phenotypes is systems genomics.Complex diseases such as diabetes have played an important role towards understanding the susceptible genes and mutations.A wide number of methods have been employed and strategies such as polygenic risk score and allele frequencies have been useful,but understanding the candidate genes harboring those mutations is an unmet goal.In this perspective,using systems genomic approaches,we highlight the application of phenome-interactome networks in diabetes and provide deep insights.LINC01128,which we previously described as candidate for diabetes,is shown as an example to discuss the approach.
关 键 词:Type 1 diabetes Gestational diabetes mellitus Prostate cancer Phenome Type 2 diabetes PLEIOTROPY
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