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Items: 1 to 20 of 71

1.

Long-range genomic regulators of THBS1 and LTBP4 modify disease severity in duchenne muscular dystrophy.

Weiss RB, Vieland VJ, Dunn DM, Kaminoh Y, Flanigan KM; United Dystrophinopathy Project.

Ann Neurol. 2018 Aug;84(2):234-245. doi: 10.1002/ana.25283. Epub 2018 Aug 25.

2.

Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia.

Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium.

Mol Autism. 2017 May 22;8:21. doi: 10.1186/s13229-017-0137-9. eCollection 2017.

3.

Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders.

Weiner DJ, Wigdor EM, Ripke S, Walters RK, Kosmicki JA, Grove J, Samocha KE, Goldstein JI, Okbay A, Bybjerg-Grauholm J, Werge T, Hougaard DM, Taylor J; iPSYCH-Broad Autism Group; Psychiatric Genomics Consortium Autism Group, Skuse D, Devlin B, Anney R, Sanders SJ, Bishop S, Mortensen PB, Børglum AD, Smith GD, Daly MJ, Robinson EB.

Nat Genet. 2017 Jul;49(7):978-985. doi: 10.1038/ng.3863. Epub 2017 May 15.

4.

A single nucleotide polymorphism in the dimethylarginine dimethylaminohydrolase gene is associated with lower risk of pulmonary hypertension in bronchopulmonary dysplasia.

Trittmann JK, Gastier-Foster JM, Zmuda EJ, Frick J, Rogers LK, Vieland VJ, Chicoine LG, Nelin LD.

Acta Paediatr. 2016 Apr;105(4):e170-5. doi: 10.1111/apa.13296. Epub 2016 Jan 11.

5.

Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.

Maier R, Moser G, Chen GB, Ripke S; Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Coryell W, Potash JB, Scheftner WA, Shi J, Weissman MM, Hultman CM, Landén M, Levinson DF, Kendler KS, Smoller JW, Wray NR, Lee SH.

Am J Hum Genet. 2015 Feb 5;96(2):283-94. doi: 10.1016/j.ajhg.2014.12.006. Epub 2015 Jan 29.

6.

Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways.

Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium.

Nat Neurosci. 2015 Feb;18(2):199-209. doi: 10.1038/nn.3922. Epub 2015 Jan 19. Erratum in: Nat Neurosci. 2015 Jun;18(6):926. Nat Neurosci. 2015 Dec;18(12):1861.

7.

Next-generation linkage and association methods applied to hypertension: a multifaceted approach to the analysis of sequence data.

Stewart WC, Huang Y, Greenberg DA, Vieland VJ.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S111. doi: 10.1186/1753-6561-8-S1-S111. eCollection 2014.

8.

Host-to-host variation of ecological interactions in polymicrobial infections.

Mukherjee S, Weimer KE, Seok SC, Ray WC, Jayaprakash C, Vieland VJ, Swords WE, Das J.

Phys Biol. 2014 Dec 4;12(1):016003. doi: 10.1088/1478-3975/12/1/016003.

9.

Using extended pedigrees to identify novel autism spectrum disorder (ASD) candidate genes.

Woodbury-Smith M, Paterson AD, Thiruvahindrapduram B, Lionel AC, Marshall CR, Merico D, Fernandez BA, Duku E, Sutcliffe JS, O'Conner I, Chrysler C, Thompson A, Kellam B, Tammimies K, Walker S, Yuen RK, Uddin M, Howe JL, Parlier M, Whitten K, Szatmari P, Vieland VJ, Piven J, Scherer SW.

Hum Genet. 2015 Feb;134(2):191-201. doi: 10.1007/s00439-014-1513-6. Epub 2014 Nov 29.

PMID:
25432440
10.

Evidence, temperature, and the laws of thermodynamics.

Vieland VJ.

Hum Hered. 2014;78(3-4):153-63. doi: 10.1159/000367599. Epub 2014 Oct 30.

11.

The value of regenotyping older linkage data sets with denser marker panels.

Vieland VJ, Walters KA, Azaro M, Brzustowicz LM, Lehner T.

Hum Hered. 2014;78(1):9-16. doi: 10.1159/000360003. Epub 2014 Jun 21.

12.

The impact of the metabotropic glutamate receptor and other gene family interaction networks on autism.

Hadley D, Wu ZL, Kao C, Kini A, Mohamed-Hadley A, Thomas K, Vazquez L, Qiu H, Mentch F, Pellegrino R, Kim C, Connolly J; AGP Consortium, Glessner J, Hakonarson H.

Nat Commun. 2014 Jun 13;5:4074. doi: 10.1038/ncomms5074.

13.

PEDSnet: a National Pediatric Learning Health System.

Forrest CB, Margolis PA, Bailey LC, Marsolo K, Del Beccaro MA, Finkelstein JA, Milov DE, Vieland VJ, Wolf BA, Yu FB, Kahn MG.

J Am Med Inform Assoc. 2014 Jul-Aug;21(4):602-6. doi: 10.1136/amiajnl-2014-002743. Epub 2014 May 12.

14.

Convergence of genes and cellular pathways dysregulated in autism spectrum disorders.

Pinto D, Delaby E, Merico D, Barbosa M, Merikangas A, Klei L, Thiruvahindrapuram B, Xu X, Ziman R, Wang Z, Vorstman JA, Thompson A, Regan R, Pilorge M, Pellecchia G, Pagnamenta AT, Oliveira B, Marshall CR, Magalhaes TR, Lowe JK, Howe JL, Griswold AJ, Gilbert J, Duketis E, Dombroski BA, De Jonge MV, Cuccaro M, Crawford EL, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Casey JP, Cai G, Cabrol C, Bolshakova N, Bacchelli E, Anney R, Gallinger S, Cotterchio M, Casey G, Zwaigenbaum L, Wittemeyer K, Wing K, Wallace S, van Engeland H, Tryfon A, Thomson S, Soorya L, Rogé B, Roberts W, Poustka F, Mouga S, Minshew N, McInnes LA, McGrew SG, Lord C, Leboyer M, Le Couteur AS, Kolevzon A, Jiménez González P, Jacob S, Holt R, Guter S, Green J, Green A, Gillberg C, Fernandez BA, Duque F, Delorme R, Dawson G, Chaste P, Café C, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bernier R, Baird G, Bailey AJ, Anagnostou E, Almeida J, Wijsman EM, Vieland VJ, Vicente AM, Schellenberg GD, Pericak-Vance M, Paterson AD, Parr JR, Oliveira G, Nurnberger JI, Monaco AP, Maestrini E, Klauck SM, Hakonarson H, Haines JL, Geschwind DH, Freitag CM, Folstein SE, Ennis S, Coon H, Battaglia A, Szatmari P, Sutcliffe JS, Hallmayer J, Gill M, Cook EH, Buxbaum JD, Devlin B, Gallagher L, Betancur C, Scherer SW.

Am J Hum Genet. 2014 May 1;94(5):677-94. doi: 10.1016/j.ajhg.2014.03.018. Epub 2014 Apr 24.

15.

Meta-analysis of repository data: impact of data regularization on NIMH schizophrenia linkage results.

Walters KA, Huang Y, Azaro M, Tobin K, Lehner T, Brzustowicz LM, Vieland VJ.

PLoS One. 2014 Jan 14;9(1):e84696. doi: 10.1371/journal.pone.0084696. eCollection 2014.

16.

Revisiting schizophrenia linkage data in the NIMH Repository: reanalysis of regularized data across multiple studies.

Vieland VJ, Walters KA, Lehner T, Azaro M, Tobin K, Huang Y, Brzustowicz LM.

Am J Psychiatry. 2014 Mar;171(3):350-9. doi: 10.1176/appi.ajp.2013.11121766.

17.

Cell responses only partially shape cell-to-cell variations in protein abundances in Escherichia coli chemotaxis.

Mukherjee S, Seok SC, Vieland VJ, Das J.

Proc Natl Acad Sci U S A. 2013 Nov 12;110(46):18531-6. doi: 10.1073/pnas.1311069110. Epub 2013 Oct 28.

18.

Data-driven quantification of the robustness and sensitivity of cell signaling networks.

Mukherjee S, Seok SC, Vieland VJ, Das J.

Phys Biol. 2013 Dec;10(6):066002. doi: 10.1088/1478-3975/10/6/066002. Epub 2013 Oct 29.

19.

A molecular genetic study of autism and related phenotypes in extended pedigrees.

Piven J, Vieland VJ, Parlier M, Thompson A, O'Conner I, Woodbury-Smith M, Huang Y, Walters KA, Fernandez B, Szatmari P.

J Neurodev Disord. 2013 Oct 5;5(1):30. doi: 10.1186/1866-1955-5-30.

20.

In silico modeling of Itk activation kinetics in thymocytes suggests competing positive and negative IP4 mediated feedbacks increase robustness.

Mukherjee S, Rigaud S, Seok SC, Fu G, Prochenka A, Dworkin M, Gascoigne NR, Vieland VJ, Sauer K, Das J.

PLoS One. 2013 Sep 16;8(9):e73937. doi: 10.1371/journal.pone.0073937. eCollection 2013. Erratum in: PLoS One. 2014;9(1): 10.1371/annotation/285bb79f-ef1a-467e-9fd3-4e518d65acd3.

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