Identification and characterization of genetic risk shared across 24 chronic pain conditions in the UK Biobank.
Katerina Zorina-Lichtenwalter,Clyde Bango,Lukas Van Oudenhove,Marta Ceko,Martin A. Lindquist,Andrew D. Grotzinger,Matthew C. Keller,N. Friedman,T. Wager +8 more
TLDR
A general factor explaining most of the shared genetic variance in all conditions and an additional musculoskeletal pain-selective factor are revealed, which identify common genetic risks and suggest neurobiological and psychosocial mechanisms of vulnerability to chronic pain.Citations
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A shared genetic signature for common chronic pain conditions and its impact on biopsychosocial traits
Scott F. Farrell,Pik Fang Kho,Mischa Lundberg,Adrian I. Campos,Miguel E. Rentería,Rutger M J de Zoete,Michele Sterling,Trung Thanh Ngo,Gabriel Cuellar-Partida +8 more
TL;DR: A broad range of traits with genetic causal effects upon chronic pain are identified, which may inform development of novel diagnostic and therapeutic strategies, as well as provide convergent support for various existing approaches.
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A Data-Driven Biopsychosocial Framework Determining the Spreading of Chronic Pain
Christophe Tanguay-Sabourin,M. O. Fillingim,May Parisien,G. V. Guglietti,Aniseh Zare,Jonna Norman,R. Da-ano,Jalessa Perez,Scott J. Thompson,Marc O. Martel,Mathieu Roy,Luda Diatchenko,Etienne Vachon-Presseau +12 more
TL;DR: Predictive models for the number of co-existing pain sites in the UK Biobank were derived and a common risk score was identified that classified different chronic pain conditions in cross-sectional data, predicted the development of chronic pain in pain-free individuals, and determined the spreading of chronicPain to multiple sites or its recovery nine years later.
Journal ArticleDOI
Shared Genetic Regulatory Networks Contribute to Neuropathic and Inflammatory Pain: Multi-Omics Systems Analysis
TL;DR: This study utilized multi-omics systematic analyses to investigate the shared genetic mechanisms of neuropathic pain and inflammatory pain, and revealed the significant overlap of the gene co-expression modules in NP and IP.
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The genetic architecture of pain intensity in a sample of 598,339 U.S. veterans
TL;DR: In this article , a cross-ancestry meta-analysis of pain intensity in 598,339 participants in the Million Veteran Program, which identified 125 independent genetic loci, 82 of which are novel.
Posted ContentDOI
The genetic architecture of pain intensity in a sample of 598,339 U.S. veterans
Sylvanus Toikumo,Rachel Vickers-Smith,Z. Jinwala,Heng Xu,Emily E. Hartwell,Kyle Sullivan,Ke Xu,Daniel Jacobson,Joel Gelernter,Christopher T Rentsch,Elisabeth Stahl,Martin D. Cheatle,Hang Zhou,Stephen G. Waxman,Amy C. Justice,Rachel L. Kember,Henry R. Kranzler +16 more
TL;DR: In this paper , a cross-ancestry meta-analysis of pain intensity in 598,339 participants in the Million Veteran Program, which identified 125 independent genetic loci, 82 of which are novel.
References
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Journal ArticleDOI
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Book
Principles and Practice of Structural Equation Modeling
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI
The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: a latent variable analysis.
Akira Miyake,Naomi P. Friedman,Michael J. Emerson,Alexander H. Witzki,Amy Howerter,Tor D. Wager +5 more
TL;DR: The results suggest that it is important to recognize both the unity and diversity ofExecutive functions and that latent variable analysis is a useful approach to studying the organization and roles of executive functions.
Journal ArticleDOI
Principal components analysis corrects for stratification in genome-wide association studies
Alkes L. Price,Alkes L. Price,Nick Patterson,Robert M. Plenge,Robert M. Plenge,Michael E. Weinblatt,Nancy A. Shadick,David Reich,David Reich +8 more
TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
The igraph software package for complex network research
Gábor Csárdi,Tamás Nepusz +1 more
TL;DR: Platform-independent and open source igraph aims to satisfy all the requirements of a graph package while possibly remaining easy to use in interactive mode as well.