Literature DB >> 34498116

Revealing modifier variations characterizations for elucidating the genetic basis of human phenotypic variations.

Hong Sun1, Xiaoping Lan2, Liangxiao Ma3, Junmei Zhou2.   

Abstract

Epistatic interactions complicate the identification of variants involved in phenotypic effect. In-depth knowledge in modifiers and in pathogenic variants would benefit the mechanistic studies on the genetic basis of complex traits. We systematically compared the modifier variants which have evidence of modifier effect with the pathogenic variants from multiple angles. Our study found that genomic loci of modifier variations differ from pathogenic loci in many aspects, such as population genetics statistics, epigenetic features, evolutionary characteristics and functional properties of the variations. Genes containing modifier variation(s) exhibit higher probability of being haploinsufficient and higher probability of recessive disease causation, and they are relatively more important in network communication. Furthermore, we reinforced that co-expression analysis is an effective methodology to predict functional associations between modifier genes and their potential target genes. In many aspects, we detected statistically significant differences between modifier variants/genes and pathogenic variants/genes, and investigated relationships between modifiers and their potential targets. Our results offer some actionable insights that may provide appropriate guidelines to clinical genetics and researchers to elucidate the molecular mechanism underlying the human phenotypic variation.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Year:  2021        PMID: 34498116     DOI: 10.1007/s00439-021-02362-4

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   5.881


  31 in total

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1.  Publisher Correction: Revealing modifier variations characterizations for elucidating the genetic basis of human phenotypic variations.

Authors:  Hong Sun; Xiaoping Lan; Liangxiao Ma; Junmei Zhou
Journal:  Hum Genet       Date:  2022-10       Impact factor: 5.881

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