Literature DB >> 27957775

Landscape of Pleiotropic Proteins Causing Human Disease: Structural and System Biology Insights.

Sirawit Ittisoponpisan1, Eman Alhuzimi1, Michael J E Sternberg1, Alessia David1.   

Abstract

Pleiotropy is the phenomenon by which the same gene can result in multiple phenotypes. Pleiotropic proteins are emerging as important contributors to rare and common disorders. Nevertheless, little is known on the mechanisms underlying pleiotropy and the characteristic of pleiotropic proteins. We analyzed disease-causing proteins reported in UniProt and observed that 12% are pleiotropic (variants in the same protein cause more than one disease). Pleiotropic proteins were enriched in deleterious and rare variants, but not in common variants. Pleiotropic proteins were more likely to be involved in the pathogenesis of neoplasms, neurological, and circulatory diseases and congenital malformations, whereas non-pleiotropic proteins in endocrine and metabolic disorders. Pleiotropic proteins were more essential and had a higher number of interacting partners compared with non-pleiotropic proteins. Significantly more pleiotropic than non-pleiotropic proteins contained at least one intrinsically long disordered region (P < 0.001). Deleterious variants occurring in structurally disordered regions were more commonly found in pleiotropic, rather than non-pleiotropic proteins. In conclusion, pleiotropic proteins are an important contributor to human disease. They represent a biologically different class of proteins compared with non-pleiotropic proteins and a better understanding of their characteristics and genetic variants can greatly aid in the interpretation of genetic studies and drug design.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  disordered protein region; genetic variants; human disease; pleiotropy

Mesh:

Substances:

Year:  2017        PMID: 27957775      PMCID: PMC5748329          DOI: 10.1002/humu.23155

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  65 in total

Review 1.  Flexible nets. The roles of intrinsic disorder in protein interaction networks.

Authors:  A Keith Dunker; Marc S Cortese; Pedro Romero; Lilia M Iakoucheva; Vladimir N Uversky
Journal:  FEBS J       Date:  2005-10       Impact factor: 5.542

2.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

Review 3.  Amyloidogenesis of natively unfolded proteins.

Authors:  Vladimir N Uversky
Journal:  Curr Alzheimer Res       Date:  2008-06       Impact factor: 3.498

4.  Metavinculin mutations alter actin interaction in dilated cardiomyopathy.

Authors:  Timothy M Olson; Susanne Illenberger; Nina Y Kishimoto; Stefan Huttelmaier; Mark T Keating; Brigitte M Jockusch
Journal:  Circulation       Date:  2002-01-29       Impact factor: 29.690

5.  Cancer risks in children with congenital malformations in the nervous and circulatory system-A population based cohort study.

Authors:  Yuelian Sun; Kim Overvad; Jørn Olsen
Journal:  Cancer Epidemiol       Date:  2014-05-05       Impact factor: 2.984

6.  Network properties of human disease genes with pleiotropic effects.

Authors:  Sreenivas Chavali; Fredrik Barrenas; Kartiek Kanduri; Mikael Benson
Journal:  BMC Syst Biol       Date:  2010-06-04

Review 7.  Intrinsically disordered proteins in human diseases: introducing the D2 concept.

Authors:  Vladimir N Uversky; Christopher J Oldfield; A Keith Dunker
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

8.  Ongoing and future developments at the Universal Protein Resource.

Authors: 
Journal:  Nucleic Acids Res       Date:  2010-11-04       Impact factor: 16.971

9.  Pleiotropic genes for metabolic syndrome and inflammation.

Authors:  Aldi T Kraja; Daniel I Chasman; Kari E North; Alexander P Reiner; Lisa R Yanek; Tuomas O Kilpeläinen; Jennifer A Smith; Abbas Dehghan; Josée Dupuis; Andrew D Johnson; Mary F Feitosa; Fasil Tekola-Ayele; Audrey Y Chu; Ilja M Nolte; Zari Dastani; Andrew Morris; Sarah A Pendergrass; Yan V Sun; Marylyn D Ritchie; Ahmad Vaez; Honghuang Lin; Symen Ligthart; Letizia Marullo; Rebecca Rohde; Yaming Shao; Mark A Ziegler; Hae Kyung Im; Renate B Schnabel; Torben Jørgensen; Marit E Jørgensen; Torben Hansen; Oluf Pedersen; Ronald P Stolk; Harold Snieder; Albert Hofman; Andre G Uitterlinden; Oscar H Franco; M Arfan Ikram; J Brent Richards; Charles Rotimi; James G Wilson; Leslie Lange; Santhi K Ganesh; Mike Nalls; Laura J Rasmussen-Torvik; James S Pankow; Josef Coresh; Weihong Tang; W H Linda Kao; Eric Boerwinkle; Alanna C Morrison; Paul M Ridker; Diane M Becker; Jerome I Rotter; Sharon L R Kardia; Ruth J F Loos; Martin G Larson; Yi-Hsiang Hsu; Michael A Province; Russell Tracy; Benjamin F Voight; Dhananjay Vaidya; Christopher J O'Donnell; Emelia J Benjamin; Behrooz Z Alizadeh; Inga Prokopenko; James B Meigs; Ingrid B Borecki
Journal:  Mol Genet Metab       Date:  2014-05-09       Impact factor: 4.797

10.  PBEQ-Solver for online visualization of electrostatic potential of biomolecules.

Authors:  Sunhwan Jo; Miklos Vargyas; Judit Vasko-Szedlar; Benoît Roux; Wonpil Im
Journal:  Nucleic Acids Res       Date:  2008-05-28       Impact factor: 16.971

View more
  16 in total

1.  Protein Moonlighting Revealed by Noncatalytic Phenotypes of Yeast Enzymes.

Authors:  Adriana Espinosa-Cantú; Diana Ascencio; Selene Herrera-Basurto; Jiewei Xu; Assen Roguev; Nevan J Krogan; Alexander DeLuna
Journal:  Genetics       Date:  2017-11-10       Impact factor: 4.562

2.  The ubiquity of pleiotropy in human disease.

Authors:  Kevin Chesmore; Jacquelaine Bartlett; Scott M Williams
Journal:  Hum Genet       Date:  2017-11-21       Impact factor: 4.132

3.  Decreased recent adaptation at human mendelian disease genes as a possible consequence of interference between advantageous and deleterious variants.

Authors:  Chenlu Di; Jesus Murga Moreno; Diego F Salazar-Tortosa; M Elise Lauterbur; David Enard
Journal:  Elife       Date:  2021-10-12       Impact factor: 8.140

4.  TNPO2 variants associate with human developmental delays, neurologic deficits, and dysmorphic features and alter TNPO2 activity in Drosophila.

Authors:  Lindsey D Goodman; Heidi Cope; Zelha Nil; Thomas A Ravenscroft; Wu-Lin Charng; Shenzhao Lu; An-Chi Tien; Rolph Pfundt; David A Koolen; Charlotte A Haaxma; Hermine E Veenstra-Knol; Jolien S Klein Wassink-Ruiter; Marijke R Wevers; Melissa Jones; Laurence E Walsh; Victoria H Klee; Miel Theunis; Eric Legius; Dora Steel; Katy E S Barwick; Manju A Kurian; Shekeeb S Mohammad; Russell C Dale; Paulien A Terhal; Ellen van Binsbergen; Brian Kirmse; Bethany Robinette; Benjamin Cogné; Bertrand Isidor; Theresa A Grebe; Peggy Kulch; Bryan E Hainline; Katherine Sapp; Eva Morava; Eric W Klee; Erica L Macke; Pamela Trapane; Christopher Spencer; Yue Si; Amber Begtrup; Matthew J Moulton; Debdeep Dutta; Oguz Kanca; Michael F Wangler; Shinya Yamamoto; Hugo J Bellen; Queenie K-G Tan
Journal:  Am J Hum Genet       Date:  2021-07-26       Impact factor: 11.025

5.  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

6.  Can Predicted Protein 3D Structures Provide Reliable Insights into whether Missense Variants Are Disease Associated?

Authors:  Sirawit Ittisoponpisan; Suhail A Islam; Tarun Khanna; Eman Alhuzimi; Alessia David; Michael J E Sternberg
Journal:  J Mol Biol       Date:  2019-04-14       Impact factor: 5.469

Review 7.  New models for human disease from the International Mouse Phenotyping Consortium.

Authors:  Pilar Cacheiro; Melissa A Haendel; Damian Smedley
Journal:  Mamm Genome       Date:  2019-05-24       Impact factor: 2.957

8.  Fibrinogen as a Pleiotropic Protein Causing Human Diseases: The Mutational Burden of Aα, Bβ, and γ Chains.

Authors:  Elvezia Maria Paraboschi; Stefano Duga; Rosanna Asselta
Journal:  Int J Mol Sci       Date:  2017-12-14       Impact factor: 5.923

9.  Structural Biology Helps Interpret Variants of Uncertain Significance in Genes Causing Endocrine and Metabolic Disorders.

Authors:  Sirawit Ittisoponpisan; Alessia David
Journal:  J Endocr Soc       Date:  2018-06-13

10.  A polygenic biomarker to identify patients with severe hypercholesterolemia of polygenic origin.

Authors:  Luis G Leal; Clive Hoggart; Marjo-Riitta Jarvelin; Karl-Heinz Herzig; Michael J E Sternberg; Alessia David
Journal:  Mol Genet Genomic Med       Date:  2020-04-19       Impact factor: 2.183

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.