Literature DB >> 32873077

Genetic Influences on Disease Subtypes.

Andy Dahl1,2,3, Noah Zaitlen2,3.   

Abstract

Disease classification, or nosology, was historically driven by careful examination of clinical features of patients. As technologies to measure and understand human phenotypes advanced, so too did classifications of disease, and the advent of genetic data has led to a surge in genetic subtyping in the past decades. Although the fundamental process of refining disease definitions and subtypes is shared across diverse fields, each field is driven by its own goals and technological expertise, leading to inconsistent and conflicting definitions of disease subtypes. Here, we review several classical and recent subtypes and subtyping approaches and provide concrete definitions to delineate subtypes. In particular, we focus on subtypes with distinct causal disease biology, which are of primary interest to scientists, and subtypes with pragmatic medical benefits, which are of primary interest to physicians. We propose genetic heterogeneity as a gold standard for establishing biologically distinct subtypes of complex polygenic disease. We focus especially on methods to find and validate genetic subtypes, emphasizing common pitfalls and how to avoid them.

Entities:  

Keywords:  clustering; genetic architecture; genetic heterogeneity; precision medicine; subtypes

Mesh:

Substances:

Year:  2020        PMID: 32873077     DOI: 10.1146/annurev-genom-120319-095026

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  3 in total

Review 1.  Open problems in human trait genetics.

Authors:  Nadav Brandes; Omer Weissbrod; Michal Linial
Journal:  Genome Biol       Date:  2022-06-20       Impact factor: 17.906

2.  Deep learning-based integration of genetics with registry data for stratification of schizophrenia and depression.

Authors:  Rosa Lundbye Allesøe; Ron Nudel; Wesley K Thompson; Yunpeng Wang; Merete Nordentoft; Anders D Børglum; David M Hougaard; Thomas Werge; Simon Rasmussen; Michael Eriksen Benros
Journal:  Sci Adv       Date:  2022-06-29       Impact factor: 14.957

3.  Contextualizing genetic risk score for disease screening and rare variant discovery.

Authors:  Dan Zhou; Dongmei Yu; Jeremiah M Scharf; Carol A Mathews; Lauren McGrath; Edwin Cook; S Hong Lee; Lea K Davis; Eric R Gamazon
Journal:  Nat Commun       Date:  2021-07-20       Impact factor: 14.919

  3 in total

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