Literature DB >> 23546168

Population structure confounds autism genetic classifier.

T G Belgard1, I Jankovic2, J K Lowe3, D H Geschwind4.   

Abstract

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Year:  2013        PMID： 23546168      PMCID： PMC4123206          DOI： 10.1038/mp.2013.34

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN： 1359-4184            Impact factor:   15.992


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  5 in total

1.  dbSNP: the NCBI database of genetic variation.

Authors:  S T Sherry; M H Ward; M Kholodov; J Baker; L Phan; E M Smigielski; K Sirotkin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  The autism genetic resource exchange: a resource for the study of autism and related neuropsychiatric conditions.

Authors:  D H Geschwind; J Sowinski; C Lord; P Iversen; J Shestack; P Jones; L Ducat; S J Spence
Journal:  Am J Hum Genet       Date:  2001-08       Impact factor: 11.025

3.  A model-based approach for analysis of spatial structure in genetic data.

Authors:  Wen-Yun Yang; John Novembre; Eleazar Eskin; Eran Halperin
Journal:  Nat Genet       Date:  2012-05-20       Impact factor: 38.330

4.  Changing the landscape of autism research: the autism genetic resource exchange.

Authors:  Clara M Lajonchere
Journal:  Neuron       Date:  2010-10-21       Impact factor: 17.173

5.  Predicting the diagnosis of autism spectrum disorder using gene pathway analysis.

Authors:  E Skafidas; R Testa; D Zantomio; G Chana; I P Everall; C Pantelis
Journal:  Mol Psychiatry       Date:  2012-09-11       Impact factor: 15.992
  5 in total
  13 in total

Review 1.  Disentangling the heterogeneity of autism spectrum disorder through genetic findings.

Authors:  Shafali S Jeste; Daniel H Geschwind
Journal:  Nat Rev Neurol       Date:  2014-01-28       Impact factor: 42.937

Review 2.  Advancing the understanding of autism disease mechanisms through genetics.

Authors:  Luis de la Torre-Ubieta; Hyejung Won; Jason L Stein; Daniel H Geschwind
Journal:  Nat Med       Date:  2016-04       Impact factor: 53.440

Review 3.  Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences.

Authors:  Ryan Bogdan; David A A Baranger; Arpana Agrawal
Journal:  Annu Rev Clin Psychol       Date:  2018-05-07       Impact factor: 18.561

4.  Genetic testing and autism: Tutorial for communication sciences and disorders.

Authors:  Laura S DeThorne; Stephanie Ceman
Journal:  J Commun Disord       Date:  2018-05-28       Impact factor: 2.288

Review 5.  Navigating the pitfalls of applying machine learning in genomics.

Authors:  Sean Whalen; Jacob Schreiber; William S Noble; Katherine S Pollard
Journal:  Nat Rev Genet       Date:  2021-11-26       Impact factor: 53.242

6.  Developing a Predictive Gene Classifier for Autism Spectrum Disorders Based upon Differential Gene Expression Profiles of Phenotypic Subgroups.

Authors:  Valerie W Hu; Yinglei Lai
Journal:  N Am J Med Sci (Boston)       Date:  2013

Review 7.  Pitfalls of predicting complex traits from SNPs.

Authors:  Naomi R Wray; Jian Yang; Ben J Hayes; Alkes L Price; Michael E Goddard; Peter M Visscher
Journal:  Nat Rev Genet       Date:  2013-07       Impact factor: 53.242

Review 8.  The road to precision psychiatry: translating genetics into disease mechanisms.

Authors:  Michael J Gandal; Virpi Leppa; Hyejung Won; Neelroop N Parikshak; Daniel H Geschwind
Journal:  Nat Neurosci       Date:  2016-10-26       Impact factor: 24.884

9.  Machine learning for genetic prediction of psychiatric disorders: a systematic review.

Authors:  Matthew Bracher-Smith; Karen Crawford; Valentina Escott-Price
Journal:  Mol Psychiatry       Date:  2020-06-26       Impact factor: 15.992

10.  A scoring strategy combining statistics and functional genomics supports a possible role for common polygenic variation in autism.

Authors:  Jérôme Carayol; Gerard D Schellenberg; Beth Dombroski; Claire Amiet; Bérengère Génin; Karine Fontaine; Francis Rousseau; Céline Vazart; David Cohen; Thomas W Frazier; Antonio Y Hardan; Geraldine Dawson; Thomas Rio Frio
Journal:  Front Genet       Date:  2014-02-18       Impact factor: 4.599
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