Literature DB >> 29641912

Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian Diseases.

Daniel M Jordan1, Ron Do1.   

Abstract

While sequence-based genetic tests have long been available for specific loci, especially for Mendelian disease, the rapidly falling costs of genome-wide genotyping arrays, whole-exome sequencing, and whole-genome sequencing are moving us toward a future where full genomic information might inform the prognosis and treatment of a variety of diseases, including complex disease. Similarly, the availability of large populations with full genomic information has enabled new insights about the etiology and genetic architecture of complex disease. Insights from the latest generation of genomic studies suggest that our categorization of diseases as complex may conceal a wide spectrum of genetic architectures and causal mechanisms that ranges from Mendelian forms of complex disease to complex regulatory structures underlying Mendelian disease. Here, we review these insights, along with advances in the prediction of disease risk and outcomes from full genomic information.

Entities:  

Keywords:  complex disease; disease prediction; genetic architecture; polygenic risk score

Mesh:

Year:  2018        PMID: 29641912     DOI: 10.1146/annurev-genom-083117-021136

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   9.340


  3 in total

Review 1.  Biophysical and Mechanistic Models for Disease-Causing Protein Variants.

Authors:  Amelie Stein; Douglas M Fowler; Rasmus Hartmann-Petersen; Kresten Lindorff-Larsen
Journal:  Trends Biochem Sci       Date:  2019-01-31       Impact factor: 13.807

2.  Empowering individual trait prediction using interactions for precision medicine.

Authors:  Damian Gola; Inke R König
Journal:  BMC Bioinformatics       Date:  2021-02-18       Impact factor: 3.169

3.  Developmental disorders caused by haploinsufficiency of transcriptional regulators: a perspective based on cell fate determination.

Authors:  Roman Zug
Journal:  Biol Open       Date:  2022-01-28       Impact factor: 2.422

  3 in total

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