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Items: 15

1.

Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genes.

Diaz-Beltran L, Esteban FJ, Varma M, Ortuzk A, David M, Wall DP.

BMC Genomics. 2017 Apr 20;18(1):315. doi: 10.1186/s12864-017-3667-9.

2.
3.

The Impact of Neuroimmune Alterations in Autism Spectrum Disorder.

Gottfried C, Bambini-Junior V, Francis F, Riesgo R, Savino W.

Front Psychiatry. 2015 Sep 9;6:121. doi: 10.3389/fpsyt.2015.00121. eCollection 2015. Review.

4.

Genome-scale modeling and human disease: an overview.

Oberhardt MA, Gianchandani EP.

Front Physiol. 2015 Jan 23;5:527. doi: 10.3389/fphys.2014.00527. eCollection 2014. No abstract available.

5.

Systems biology as a comparative approach to understand complex gene expression in neurological diseases.

Diaz-Beltran L, Cano C, Wall DP, Esteban FJ.

Behav Sci (Basel). 2013 May 21;3(2):253-72. doi: 10.3390/bs3020253. eCollection 2013 Jun. Review.

6.

Haplotype structure enables prioritization of common markers and candidate genes in autism spectrum disorder.

Vardarajan BN, Eran A, Jung JY, Kunkel LM, Wall DP.

Transl Psychiatry. 2013 May 28;3:e262. doi: 10.1038/tp.2013.38.

7.

Autworks: a cross-disease network biology application for Autism and related disorders.

Nelson TH, Jung JY, Deluca TF, Hinebaugh BK, St Gabriel KC, Wall DP.

BMC Med Genomics. 2012 Nov 28;5:56. doi: 10.1186/1755-8794-5-56.

8.

Cross-pollination of research findings, although uncommon, may accelerate discovery of human disease genes.

Duda M, Nelson T, Wall DP.

BMC Med Genet. 2012 Nov 28;13:114. doi: 10.1186/1471-2350-13-114.

9.

Assessment and treatment in autism spectrum disorders: a focus on genetics and psychiatry.

Butler MG, Youngs EL, Roberts JL, Hellings JA.

Autism Res Treat. 2012;2012:242537. doi: 10.1155/2012/242537. Epub 2012 May 31.

10.

Identification of autoimmune gene signatures in autism.

Jung JY, Kohane IS, Wall DP.

Transl Psychiatry. 2011 Dec 13;1:e63. doi: 10.1038/tp.2011.62.

11.

Systems analysis of inflammatory bowel disease based on comprehensive gene information.

Suzuki S, Takai-Igarashi T, Fukuoka Y, Wall DP, Tanaka H, Tonellato PJ.

BMC Med Genet. 2012 Apr 5;13:25. doi: 10.1186/1471-2350-13-25.

12.

Integrative gene network analysis provides novel regulatory relationships, genetic contributions and susceptible targets in autism spectrum disorders.

Lee TL, Raygada MJ, Rennert OM.

Gene. 2012 Apr 1;496(2):88-96. doi: 10.1016/j.gene.2012.01.020. Epub 2012 Jan 26.

13.

Disordered porphyrin metabolism: a potential biological marker for autism risk assessment.

Heyer NJ, Echeverria D, Woods JS.

Autism Res. 2012 Apr;5(2):84-92. doi: 10.1002/aur.236. Epub 2012 Feb 1.

14.

Human plasma glycome in attention-deficit hyperactivity disorder and autism spectrum disorders.

Pivac N, Knezević A, Gornik O, Pucić M, Igl W, Peeters H, Crepel A, Steyaert J, Novokmet M, Redzić I, Nikolac M, Hercigonja VN, Curković KD, Curković M, Nedić G, Muck-Seler D, Borovecki F, Rudan I, Lauc G.

Mol Cell Proteomics. 2011 Jan;10(1):M110.004200. doi: 10.1074/mcp.M110.004200. Epub 2010 Oct 25.

15.

A quantitative approach to study indirect effects among disease proteins in the human protein interaction network.

Nguyen TP, Jordán F.

BMC Syst Biol. 2010 Jul 29;4:103. doi: 10.1186/1752-0509-4-103.

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