Literature DB >> 33568722

Integrative analysis identifies bHLH transcription factors as contributors to Parkinson's disease risk mechanisms.

Victoria Berge-Seidl1,2, Lasse Pihlstrøm1, Mathias Toft3,4.   

Abstract

Genome-wide association studies (GWAS) have identified multiple genetic risk signals for Parkinson's disease (PD), however translation into underlying biological mechanisms remains scarce. Genomic functional annotations of neurons provide new resources that may be integrated into analyses of GWAS findings. Altered transcription factor binding plays an important role in human diseases. Insight into transcriptional networks involved in PD risk mechanisms may thus improve our understanding of pathogenesis. We analysed overlap between genome-wide association signals in PD and open chromatin in neurons across multiple brain regions, finding a significant enrichment in the superior temporal cortex. The involvement of transcriptional networks was explored in neurons of the superior temporal cortex based on the location of candidate transcription factor motifs identified by two de novo motif discovery methods. Analyses were performed in parallel, both finding that PD risk variants significantly overlap with open chromatin regions harboring motifs of basic Helix-Loop-Helix (bHLH) transcription factors. Our findings show that cortical neurons are likely mediators of genetic risk for PD. The concentration of PD risk variants at sites of open chromatin targeted by members of the bHLH transcription factor family points to an involvement of these transcriptional networks in PD risk mechanisms.

Entities:  

Year:  2021        PMID: 33568722      PMCID: PMC7875985          DOI: 10.1038/s41598-021-83087-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  47 in total

1.  Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data.

Authors:  Roger Pique-Regi; Jacob F Degner; Athma A Pai; Daniel J Gaffney; Yoav Gilad; Jonathan K Pritchard
Journal:  Genome Res       Date:  2010-11-24       Impact factor: 9.043

2.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

3.  ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide.

Authors:  Jason D Buenrostro; Beijing Wu; Howard Y Chang; William J Greenleaf
Journal:  Curr Protoc Mol Biol       Date:  2015-01-05

4.  SNiPA: an interactive, genetic variant-centered annotation browser.

Authors:  Matthias Arnold; Johannes Raffler; Arne Pfeufer; Karsten Suhre; Gabi Kastenmüller
Journal:  Bioinformatics       Date:  2014-11-26       Impact factor: 6.937

5.  An atlas of chromatin accessibility in the adult human brain.

Authors:  John F Fullard; Mads E Hauberg; Jaroslav Bendl; Gabor Egervari; Maria-Daniela Cirnaru; Sarah M Reach; Jan Motl; Michelle E Ehrlich; Yasmin L Hurd; Panos Roussos
Journal:  Genome Res       Date:  2018-06-26       Impact factor: 9.043

6.  Transcription factors operate across disease loci, with EBNA2 implicated in autoimmunity.

Authors:  John B Harley; Xiaoting Chen; Mario Pujato; Daniel Miller; Avery Maddox; Carmy Forney; Albert F Magnusen; Arthur Lynch; Kashish Chetal; Masashi Yukawa; Artem Barski; Nathan Salomonis; Kenneth M Kaufman; Leah C Kottyan; Matthew T Weirauch
Journal:  Nat Genet       Date:  2018-04-16       Impact factor: 38.330

7.  Anchor: trans-cell type prediction of transcription factor binding sites.

Authors:  Hongyang Li; Daniel Quang; Yuanfang Guan
Journal:  Genome Res       Date:  2018-12-19       Impact factor: 9.043

8.  Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease.

Authors:  J C Lambert; C A Ibrahim-Verbaas; D Harold; A C Naj; R Sims; C Bellenguez; A L DeStafano; J C Bis; G W Beecham; B Grenier-Boley; G Russo; T A Thorton-Wells; N Jones; A V Smith; V Chouraki; C Thomas; M A Ikram; D Zelenika; B N Vardarajan; Y Kamatani; C F Lin; A Gerrish; H Schmidt; B Kunkle; M L Dunstan; A Ruiz; M T Bihoreau; S H Choi; C Reitz; F Pasquier; C Cruchaga; D Craig; N Amin; C Berr; O L Lopez; P L De Jager; V Deramecourt; J A Johnston; D Evans; S Lovestone; L Letenneur; F J Morón; D C Rubinsztein; G Eiriksdottir; K Sleegers; A M Goate; N Fiévet; M W Huentelman; M Gill; K Brown; M I Kamboh; L Keller; P Barberger-Gateau; B McGuiness; E B Larson; R Green; A J Myers; C Dufouil; S Todd; D Wallon; S Love; E Rogaeva; J Gallacher; P St George-Hyslop; J Clarimon; A Lleo; A Bayer; D W Tsuang; L Yu; M Tsolaki; P Bossù; G Spalletta; P Proitsi; J Collinge; S Sorbi; F Sanchez-Garcia; N C Fox; J Hardy; M C Deniz Naranjo; P Bosco; R Clarke; C Brayne; D Galimberti; M Mancuso; F Matthews; S Moebus; P Mecocci; M Del Zompo; W Maier; H Hampel; A Pilotto; M Bullido; F Panza; P Caffarra; B Nacmias; J R Gilbert; M Mayhaus; L Lannefelt; H Hakonarson; S Pichler; M M Carrasquillo; M Ingelsson; D Beekly; V Alvarez; F Zou; O Valladares; S G Younkin; E Coto; K L Hamilton-Nelson; W Gu; C Razquin; P Pastor; I Mateo; M J Owen; K M Faber; P V Jonsson; O Combarros; M C O'Donovan; L B Cantwell; H Soininen; D Blacker; S Mead; T H Mosley; D A Bennett; T B Harris; L Fratiglioni; C Holmes; R F de Bruijn; P Passmore; T J Montine; K Bettens; J I Rotter; A Brice; K Morgan; T M Foroud; W A Kukull; D Hannequin; J F Powell; M A Nalls; K Ritchie; K L Lunetta; J S Kauwe; E Boerwinkle; M Riemenschneider; M Boada; M Hiltuenen; E R Martin; R Schmidt; D Rujescu; L S Wang; J F Dartigues; R Mayeux; C Tzourio; A Hofman; M M Nöthen; C Graff; B M Psaty; L Jones; J L Haines; P A Holmans; M Lathrop; M A Pericak-Vance; L J Launer; L A Farrer; C M van Duijn; C Van Broeckhoven; V Moskvina; S Seshadri; J Williams; G D Schellenberg; P Amouyel
Journal:  Nat Genet       Date:  2013-10-27       Impact factor: 38.330

9.  Biological insights from 108 schizophrenia-associated genetic loci.

Authors: 
Journal:  Nature       Date:  2014-07-22       Impact factor: 49.962

10.  Genome-wide epigenetic analysis of MEF2A and MEF2C transcription factors in mouse cortical neurons.

Authors:  Qi Ma; Francesca Telese
Journal:  Commun Integr Biol       Date:  2015-09-23
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