Literature DB >> 24425794

The genomic and functional characteristics of disease genes.

Andrew Collins.   

Abstract

Increasing evidence indicates that genes containing disease causal variation have distinct functional and genomic properties. The importance of understanding these properties is highlighted by efforts to filter lists of variants from next-generation sequencing studies, where the number of potentially deleterious variants, which are in fact unrelated to disease, may be large. Available evidence indicates that the majority of disease genes are 'non-essential' and their products occupy functionally peripheral positions in protein networks. They tend to be intermediate between genes that have core biological functions, particularly low mutation rates and low haplotype diversity, and genes for which high haplotype diversity and high mutation rates are advantageous (such as those involved in sensory perception and some immune system functions). Evidence presented here supports these conclusions through analysis of integrated data sets incorporating the latest mutational profiles, linkage disequilibrium structure and other genomic properties of individual genes. The analysis highlights the contrasting functions of genes predicted as least and most likely to contain disease variation and provides a basis for filtering gene variant lists to exclude the least plausible disease candidates.
© The Author 2014. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Keywords:  disease genes; eliminating false-positive variants; linkage disequilibrium; mutational heterogeneity; next-generation sequencing

Mesh:

Year:  2014        PMID: 24425794     DOI: 10.1093/bib/bbt091

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  6 in total

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Authors:  Lyubov E Salnikova; Dmitry S Kolobkov; Darya A Sviridova; Serikbai K Abilev
Journal:  Hum Genet       Date:  2021-07-16       Impact factor: 4.132

2.  Identifying genes targeted by disease-associated non-coding SNPs with a protein knowledge graph.

Authors:  Wytze J Vlietstra; Rein Vos; Erik M van Mulligen; Guido W Jenster; Jan A Kors
Journal:  PLoS One       Date:  2022-07-13       Impact factor: 3.752

3.  A map of constrained coding regions in the human genome.

Authors:  James M Havrilla; Brent S Pedersen; Ryan M Layer; Aaron R Quinlan
Journal:  Nat Genet       Date:  2018-12-10       Impact factor: 38.330

4.  Properties of human genes guided by their enrichment in rare and common variants.

Authors:  Eman Alhuzimi; Luis G Leal; Michael J E Sternberg; Alessia David
Journal:  Hum Mutat       Date:  2017-12-21       Impact factor: 4.878

5.  Identification of RELN variation p.Thr3192Ser in a Chinese family with schizophrenia.

Authors:  Zhifan Zhou; Zhengmao Hu; Lu Zhang; Zhaoting Hu; Haihong Liu; Zhening Liu; Juan Du; Jingping Zhao; Lin Zhou; Kun Xia; Bengsha Tang; Lu Shen
Journal:  Sci Rep       Date:  2016-04-13       Impact factor: 4.379

6.  Identifying disease trajectories with predicate information from a knowledge graph.

Authors:  Wytze J Vlietstra; Rein Vos; Marjan van den Akker; Erik M van Mulligen; Jan A Kors
Journal:  J Biomed Semantics       Date:  2020-08-20
  6 in total

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