Current Developments of Clinical Sequencing and the Clinical Utility of Polygenic Risk Scores in Inflammatory Diseases

被引：6

作者：

Huebenthal, Matthias ^{[1
]}

Loescher, Britt-Sabina ^{[2
,3
]}

Erdmann, Jeanette ^{[4
]}

Franke, Andre ^{[2
,3
]}

Gola, Damian ^{[5
]}

Koenig, Inke R. ^{[5
]}

Emmert, Hila ^{[1
]}

机构：

[1] Univ Hosp Schleswig Holstein, Quincke Res Ctr, Dept Dermatol, Kiel, Germany

[2] Christian Albrechts Univ Kiel, Inst Clin Mol Biol, Kiel, Germany

[3] Univ Hosp Schleswig Holstein, Kiel, Germany

[4] Univ Lubeck, Inst Cardiogenet, Lubeck, Germany

[5] Univ Lubeck, Inst Med Biometry & Stat, Lubeck, Germany

来源：

FRONTIERS IN IMMUNOLOGY | 2021年 / 11卷

关键词：

inflammation; atopic dermatitis; inflammatory bowel disease; coronary artery disease; genome-wide association studies; polygenic risk score; whole-exome sequencing; GENOME-WIDE ASSOCIATION; CORONARY-ARTERY-DISEASE; ATOPIC-DERMATITIS; HEART-DISEASE; SUSCEPTIBILITY LOCI; CROHNS-DISEASE; BOWEL-DISEASE; PREDICTION; VARIANTS; ADULTS;

D O I：

10.3389/fimmu.2020.577677

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

In this mini-review, we highlight selected research by the Deutsche Forschungsgemeinschaft (DFG) Cluster of Excellence "Precision Medicine in Chronic Inflammation" focusing on clinical sequencing and the clinical utility of polygenic risk scores as well as its implication on precision medicine in the field of the inflammatory diseases inflammatory bowel disease, atopic dermatitis and coronary artery disease. Additionally, we highlight current developments and discuss challenges to be faced in the future. Exemplary, we point to residual challenges in detecting disease-relevant variants resulting from difficulties in the interpretation of candidate variants and their potential interactions. While polygenic risk scores represent promising tools for the stratification of patient groups, currently, polygenic risk scores are not accurate enough for clinical setting. Precision medicine, incorporating additional data from genomics, transcriptomics and proteomics experiments, may enable the identification of distinct disease pathogeneses. In the future, data-intensive biomedical innovation will hopefully lead to improved patient stratification for personalized medicine.

引用

页数：9

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