Genome-wide association study of language performance in Alzheimer's disease.
Kacie D Deters,Kwangsik Nho,Shannon L. Risacher,Sungeun Kim,Vijay K. Ramanan,Paul K. Crane,Liana G. Apostolova,Andrew J. Saykin,Alzheimer’s Disease Neuroimaging Initiative +8 more
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TLDR
The results implicate GLI3, a developmental transcription factor involved in patterning brain structures, as a putative gene associated with language dysfunction in AD.About:
This article is published in Brain and Language.The article was published on 2017-09-01 and is currently open access. It has received 20 citations till now. The article focuses on the topics: Genome-wide association study.read more
Citations
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Genome-wide screening for DNA variants associated with reading and language traits
TL;DR: The CCDC136/FLNC locus showed association with a comparable reading/language measure in an independent sample of 6434 participants from the general population, although involving distinct alleles of the associated SNP.
Journal ArticleDOI
Development and validation of language and visuospatial composite scores in ADNI.
Seo-Eun Choi,Shubhabrata Mukherjee,Laura E. Gibbons,R. Elizabeth Sanders,Richard N. Jones,Douglas Tommet,Jesse Mez,Emily H. Trittschuh,Emily H. Trittschuh,Andrew J. Saykin,Melissa Lamar,Laura A. Rabin,Nancy S. Foldi,Sietske A.M. Sikkes,Roos J. Jutten,Evan Grandoit,Christine L. Mac Donald,Shannon L. Risacher,Colin Groot,Rik Ossenkoppele,Rik Ossenkoppele,Alzheimer's Disease Neuroimaging Initiative,Paul K. Crane +22 more
TL;DR: This article used item response theory to derive composite measures for language and visuospatial functioning from the cognitive battery administered in the Alzheimer's Disease Neuroimaging Initiative (ADNI), and evaluated the scores among groups of people with normal cognition, mild cognitive impairment, and Alzheimer's disease in terms of responsiveness to change, association with imaging findings, and ability to differentiate between MCI participants who progressed to AD dementia and those who did not progress.
Journal ArticleDOI
Genomics of speech and language disorders
Joaquin Guerra,Ramón Cacabelos +1 more
TL;DR: For instance, the authors showed that there are multiple factors involved in speech and language development, such as genetic factors such as hereditary or de novo mutations may be responsible for their development, and there may be co-morbidity with other communication disorders or develop phenotypes unrelated to communication.
Journal ArticleDOI
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.
Junhao Wen,Erdem Varol,Aristeidis Sotiras,Zhijian Yang,Ganesh B. Chand,Guray Erus,Haochang Shou,Ahmed Abdulkadir,Gyujoon Hwang,Dominic B. Dwyer,Alessandro Pigoni,Paola Dazzan,René S. Kahn,Hugo G. Schnack,Marcus V. Zanetti,Eva Meisenzahl,Geraldo F. Busatto,Benedicto Crespo-Facorro,Romero-Garcia Rafael,Christos Pantelis,Stephen J. Wood,Chuanjun Zhuo,Russell T. Shinohara,Yong Fan,Ruben C. Gur,Raquel E. Gur,Theodore D. Satterthwaite,Nikolaos Koutsouleris,Daniel H. Wolf,Christos Davatzikos,Alzheimer’s Disease Neuroimaging Initiative +30 more
TL;DR: MAGIC as mentioned in this paper is a semi-supervised clustering method for brain disease heterogeneity that uses a double-cyclic optimization procedure to identify inter-scale-consistent disease subtypes.
Journal ArticleDOI
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
TL;DR: MAGIC as mentioned in this paper is a semi-supervised clustering method for brain disease heterogeneity that uses a double-cyclic optimization procedure to identify inter-scale-consistent disease subtypes.
References
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Statistical parametric maps in functional imaging: A general linear approach
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LocusZoom: regional visualization of genome-wide association scan results
Randall Pruim,Ryan P. Welch,Serena Sanna,Tanya M. Teslovich,Peter S. Chines,Terry P. Gliedt,Michael Boehnke,Gonçalo R. Abecasis,Cristen J. Willer +8 more
TL;DR: LocusZoom is a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format that visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region.
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