Literature DB >> 34677750

Associating complex traits with genetic variants: polygenic risk scores, pleiotropy and endophenotypes.

Gene S Fisch1.   

Abstract

Genotype-phenotype causal modeling has evolved significantly since Johannsen's and Wright's original designs were published. The development of genomewide assays to interrogate and detect possible causal variants associated with complex traits has expanded the scope of genotype-phenotype research considerably. Clusters of causal variants discovered by genomewide assays and associated with complex traits have been used to develop polygenic risk scores to predict clinical diagnoses of multidimensional human disorders. However, genomewide investigations have met with many challenges to their research designs and statistical complexities which have hindered the reliability and validity of their predictions. Findings linked to differences in heritability estimates between causal clusters and complex traits among unrelated individuals remain a research area of some controversy. Causal models developed from case-control studies as opposed to experiments, as well as other issues concerning the genotype-phenotype causal model and the extent to which various forms of pleiotropy and the concept of the endophenotype add to its complexity, will be reviewed.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Causal modeling; Endophenotype; Genotype-phenotype; Pleiotropy; Polygenic risk scores

Mesh:

Year:  2021        PMID: 34677750     DOI: 10.1007/s10709-021-00138-2

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.633


  59 in total

1.  Longitudinal and cross-sectional twin data on cognitive abilities in adulthood: the Swedish Adoption/Twin Study of Aging.

Authors:  D Finkel; N L Pedersen; R Plomin; G E McClearn
Journal:  Dev Psychol       Date:  1998-11

2.  Gene-Gene and Gene-Environment Interactions.

Authors:  Andrew T DeWan
Journal:  Methods Mol Biol       Date:  2018

Review 3.  An Expanded View of Complex Traits: From Polygenic to Omnigenic.

Authors:  Evan A Boyle; Yang I Li; Jonathan K Pritchard
Journal:  Cell       Date:  2017-06-15       Impact factor: 41.582

Review 4.  The endophenotype concept in psychiatry: etymology and strategic intentions.

Authors:  Irving I Gottesman; Todd D Gould
Journal:  Am J Psychiatry       Date:  2003-04       Impact factor: 18.112

5.  How meaningful are heritability estimates of liability?

Authors:  Penny H Benchek; Nathan J Morris
Journal:  Hum Genet       Date:  2013-07-19       Impact factor: 4.132

Review 6.  Detecting gene-gene interactions that underlie human diseases.

Authors:  Heather J Cordell
Journal:  Nat Rev Genet       Date:  2009-06       Impact factor: 53.242

7.  Genetic contributions to stability and change in intelligence from childhood to old age.

Authors:  Ian J Deary; Jian Yang; Gail Davies; Sarah E Harris; Albert Tenesa; David Liewald; Michelle Luciano; Lorna M Lopez; Alan J Gow; Janie Corley; Paul Redmond; Helen C Fox; Suzanne J Rowe; Paul Haggarty; Geraldine McNeill; Michael E Goddard; David J Porteous; Lawrence J Whalley; John M Starr; Peter M Visscher
Journal:  Nature       Date:  2012-01-18       Impact factor: 49.962

8.  Allelic association studies of genome wide association data can reveal errors in marker position assignments.

Authors:  David Curtis
Journal:  BMC Genet       Date:  2007-06-08       Impact factor: 2.797

9.  A method for detecting epistasis in genome-wide studies using case-control multi-locus association analysis.

Authors:  Javier Gayán; Antonio González-Pérez; Fernando Bermudo; María Eugenia Sáez; Jose Luis Royo; Antonio Quintas; Jose Jorge Galan; Francisco Jesús Morón; Reposo Ramirez-Lorca; Luis Miguel Real; Agustín Ruiz
Journal:  BMC Genomics       Date:  2008-07-31       Impact factor: 3.969

10.  Power and predictive accuracy of polygenic risk scores.

Authors:  Frank Dudbridge
Journal:  PLoS Genet       Date:  2013-03-21       Impact factor: 5.917

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