Genetics' Piece of the PI: Inferring the Origin of Complex Traits and Diseases from Proteome-Wide Protein-Protein Interaction Dynamics

被引:0
作者
Gauthier, Louis [1 ,2 ]
Stynen, Bram [1 ,2 ]
Serohijos, Adrian W. R. [1 ,2 ]
Michnick, Stephen W. [1 ,2 ]
机构
[1] Univ Montreal, Dept Biochim, 2900 Edouard Montpetit, Montreal, PQ H3T 1J4, Canada
[2] Univ Montreal, Ctr Robert Cedergren Bioinformat & Genom, 2900 Edouard Montpetit, Montreal, PQ H3T 1J4, Canada
关键词
biochemical networks; expression quantitative trait loci; human diseases; protein fragment complementation assays; protein-protein interaction networks; proteotype; quantitative and complex traits; REGULATORY VARIATION; MAP; VARIANTS; GENOTYPE; RNA; IDENTIFICATION; ARCHITECTURE; ASSOCIATION; PERTURBATION; MODULATION;
D O I
10.1002/bies.201900169
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
How do common and rare genetic polymorphisms contribute to quantitative traits or disease risk and progression? Multiple human traits have been extensively characterized at the genomic level, revealing their complex genetic architecture. However, it is difficult to resolve the mechanisms by which specific variants contribute to a phenotype. Recently, analyses of variant effects on molecular traits have uncovered intermediate mechanisms that link sequence variation to phenotypic changes. Yet, these methods only capture a fraction of genetic contributions to phenotype. Here, in reviewing the field, it is proposed that complex traits can be understood by characterizing the dynamics of biochemical networks within living cells, and that the effects of genetic variation can be captured on these networks by using protein-protein interaction (PPI) methodologies. This synergy between PPI methodologies and the genetics of complex traits opens new avenues to investigate the molecular etiology of human diseases and to facilitate their prevention or treatment.
引用
收藏
页数:11
相关论文
共 127 条
[11]   Rare-disease genetics in the era of next-generation sequencing: discovery to translation [J].
Boycott, Kym M. ;
Vanstone, Megan R. ;
Bulman, Dennis E. ;
MacKenzie, Alex E. .
NATURE REVIEWS GENETICS, 2013, 14 (10) :681-691
[12]   An Expanded View of Complex Traits: From Polygenic to Omnigenic [J].
Boyle, Evan A. ;
Li, Yang I. ;
Pritchard, Jonathan K. .
CELL, 2017, 169 (07) :1177-1186
[13]   Genetic dissection of transcriptional regulation in budding yeast [J].
Brem, RB ;
Yvert, G ;
Clinton, R ;
Kruglyak, L .
SCIENCE, 2002, 296 (5568) :752-755
[14]   Tissue-Specific Splicing of Disordered Segments that Embed Binding Motifs Rewires Protein Interaction Networks [J].
Buljan, Marija ;
Chalancon, Guilhem ;
Eustermann, Sebastian ;
Wagner, Gunter P. ;
Fuxreiter, Monika ;
Bateman, Alex ;
Babu, M. Madan .
MOLECULAR CELL, 2012, 46 (06) :871-883
[15]   Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator [J].
Carayol, Jerome ;
Chabert, Christian ;
Di Cara, Alessandro ;
Armenise, Claudia ;
Lefebvre, Gregory ;
Langin, Dominique ;
Viguerie, Nathalie ;
Metairon, Sylviane ;
Saris, Wim H. M. ;
Astrup, Arne ;
Descombes, Patrick ;
Valsesia, Armand ;
Hager, Jorg .
NATURE COMMUNICATIONS, 2017, 8
[16]   Quantitative analysis of protein interaction network dynamics in yeast [J].
Celaj, Albi ;
Schlecht, Ulrich ;
Smith, Justin D. ;
Xu, Weihong ;
Suresh, Sundari ;
Miranda, Molly ;
Aparicio, Ana Maria ;
Proctor, Michael ;
Davis, Ronald W. ;
Roth, Frederick P. ;
St. Onge, Robert P. .
MOLECULAR SYSTEMS BIOLOGY, 2017, 13 (07) :1-17
[17]   Integrative analysis of RNA, translation, and protein levels reveals distinct regulatory variation across humans [J].
Cenik, Can ;
Cenik, Elif Sarinay ;
Byeon, Gun W. ;
Grubert, Fabian ;
Candille, Sophie I. ;
Spacek, Damek ;
Alsallakh, Bilal ;
Tilgner, Hagen ;
Araya, Carlos L. ;
Tang, Hua ;
Ricci, Emiliano ;
Snyder, Michael P. .
GENOME RESEARCH, 2015, 25 (11) :1610-1621
[18]   Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells [J].
Chen, Lu ;
Ge, Bing ;
Casale, Francesco Paolo ;
Vasquez, Louella ;
Kwan, Tony ;
Garrido-Martin, Diego ;
Watt, Stephen ;
Yan, Ying ;
Kundu, Kousik ;
Ecker, Simone ;
Datta, Avik ;
Richardson, David ;
Burden, Frances ;
Mead, Daniel ;
Mann, Alice L. ;
Maria Fernandez, Jose ;
Rowlston, Sophia ;
Wilder, Steven P. ;
Farrow, Samantha ;
Shao, Xiaojian ;
Lambourne, John J. ;
Redensek, Adriana ;
Albers, Cornelis A. ;
Amstislavskiy, Vyacheslav ;
Ashford, Sofie ;
Berentsen, Kim ;
Bomba, Lorenzo ;
Bourque, Guillaume ;
Bujold, David ;
Busche, Stephan ;
Caron, Maxime ;
Chen, Shu-Huang ;
Cheung, Warren ;
Delaneau, Oliver ;
Dermitzakis, Emmanouil T. ;
Elding, Heather ;
Colgiu, Irina ;
Bagger, Frederik O. ;
Flicek, Paul ;
Habibi, Ehsan ;
Iotchkova, Valentina ;
Janssen-Megens, Eva ;
Kim, Bowon ;
Lehrach, Hans ;
Lowy, Ernesto ;
Mandoli, Amit ;
Matarese, Filomena ;
Maurano, Matthew T. ;
Morris, John A. ;
Pancaldi, Vera .
CELL, 2016, 167 (05) :1398-+
[19]   Network-based approach to prediction and population-based validation of in silico drug repurposing [J].
Cheng, Feixiong ;
Desai, Rishi J. ;
Handy, Diane E. ;
Wang, Ruisheng ;
Schneeweiss, Sebastian ;
Barabasi, Albert-Laszlo ;
Loscalzo, Joseph .
NATURE COMMUNICATIONS, 2018, 9
[20]   Defining the consequences of genetic variation on a proteome-wide scale [J].
Chick, Joel M. ;
Munger, Steven C. ;
Simecek, Petr ;
Huttlin, Edward L. ;
Choi, Kwangbom ;
Gatti, Daniel M. ;
Raghupathy, Narayanan ;
Svenson, Karen L. ;
Churchill, Gary A. ;
Gygi, Steven P. .
NATURE, 2016, 534 (7608) :500-+