Sleep-related traits and attention-deficit/hyperactivity disorder comorbidity: Shared genetic risk factors, molecular mechanisms, and causal effects
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Citações na Scopus
12
Tipo de produção
article
Data de publicação
2021
Título da Revista
ISSN da Revista
Título do Volume
Editora
TAYLOR & FRANCIS LTD
Autores
CARPENA, Marina Xavier
MARTINS-SILVA, Thais
GENRO, Julia P.
HUTZ, Mara Helena
ROHDE, Luis Augusto
TOVO-RODRIGUES, Luciana
Citação
WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY, v.22, n.10, p.778-791, 2021
Resumo
Objectives To evaluate the shared genetic components, common pathways and causal relationship between ADHD and sleep-related phenotypes Methods We used the largest genome-wide association summary statistics available for attention-deficit/hyperactivity disorder (ADHD) and various sleep-related phenotypes (insomnia, napping, daytime dozing, snoring, ease getting up, daytime sleepiness, sleep duration and chronotype). We estimated the genomic correlation using cross-trait linkage disequilibrium score regression (LDSR) and investigated the potential common mechanisms using gene-based cross-trait metanalyses and functional enrichment analyses. The causal effect was estimated using two-sample Mendelian randomisation (TSMR), using the inverse variance weighted method as the main estimator. Results A positive genomic correlation between insomnia, daytime napping, daytime dozing, snoring, daytime sleepiness, short and long sleep duration, and ADHD was observed. Insomnia, daytime sleepiness, and snoring shared genes with ADHD, that are involved in neurobiological functions and regulatory signalling pathways. The TSMR supported a causal effect of insomnia, daytime napping, and short sleep duration on ADHD, and of ADHD on long sleep duration and chronotype. Conclusion Comorbidity between sleep phenotypes and ADHD may be mediated by common genetic factors that play an important role in neuronal signalling pathways. A causal effect of sleep disturbances and short sleep duration on ADHD reinforced their role as predictors of ADHD.
Palavras-chave
ADHD, genetics, sleep, circadian rhythm, Mendelian randomisation
Referências
- Armstrong JM, 2014, SLEEP, V37, P901, DOI 10.5665/sleep.3656
- Arnold M, 2015, BIOINFORMATICS, V31, P1334, DOI 10.1093/bioinformatics/btu779
- Baird AL, 2012, MOL PSYCHIATR, V17, P988, DOI 10.1038/mp.2011.149
- Baird AL, 2013, BRAIN RES, V1513, P61, DOI 10.1016/j.brainres.2013.03.038
- Banaschewski T, 2017, DTSCH ARZTEBL INT, V114, P149, DOI 10.3238/arztebl.2017.0149
- Benedict C, 2014, SLEEP, V37, P195, DOI 10.5665/sleep.3336
- Benjamini Y, 1997, SCAND J STAT, V24, P407, DOI 10.1111/1467-9469.00072
- BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
- Bijlenga D, 2019, ADHD-ATTEND DEFICIT, V11, P5, DOI 10.1007/s12402-018-0271-z
- Bonvicini C, 2018, WORLD J BIOL PSYCHIA, V19, P80, DOI 10.1080/15622975.2017.1282175
- Bowden J, 2015, INT J EPIDEMIOL, V44, P512, DOI 10.1093/ije/dyv080
- Brookes K, 2006, MOL PSYCHIATR, V11, P934, DOI 10.1038/sj.mp.4001869
- Burgess S, 2013, GENET EPIDEMIOL, V37, P658, DOI 10.1002/gepi.21758
- Bush G, 2005, BIOL PSYCHIAT, V57, P1273, DOI 10.1016/j.biopsych.2005.01.034
- Carpena MX, 2020, J ATTEN DISORD, V24, P590, DOI 10.1177/1087054719879500
- Carpena MX, 2019, GENES-BASEL, V10, DOI 10.3390/genes10020088
- Cedernaes J, 2015, J CLIN ENDOCR METAB, V100, pE1255, DOI [10.1210/jc.2015-2284, 10.1210/JC.2015-2284]
- Chen QF, 2015, ACTA PSYCHOL, V157, P176, DOI 10.1016/j.actpsy.2015.02.017
- Cirelli C, 2004, NEURON, V41, P35, DOI 10.1016/S0896-6273(03)00814-6
- Cirelli C, 2000, BRAIN RES, V885, P303, DOI 10.1016/S0006-8993(00)03008-0
- Consortium 1000 Genomes Project, 2015, GLOBAL REFERENCE HUM
- Coogan AN, 2017, ADHD-ATTEND DEFICIT, V9, P129, DOI 10.1007/s12402-016-0214-5
- Cortese S, 2009, J AM ACAD CHILD PSY, V48, P894, DOI 10.1097/CHI.0b013e3181ac09c9
- Cuellar-Partida G., BIORXIV PREPRINT, DOI [10.1101/518027, DOI 10.1101/518027]
- Dashti HS, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08917-4
- Davies NM, 2018, BMJ-BRIT MED J, V362, DOI 10.1136/bmj.k601
- de Leeuw CA, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004219
- dela Pena IJI, 2017, GENES BRAIN BEHAV, V16, P664, DOI 10.1111/gbb.12388
- Demontis D, 2019, NAT GENET, V51, P63, DOI 10.1038/s41588-018-0269-7
- Diaz-Roman A, 2018, NEUROSCI BIOBEHAV R, V89, P61, DOI 10.1016/j.neubiorev.2018.02.014
- Diaz-Roman A, 2016, J CLIN SLEEP MED, V12, P747, DOI 10.5664/jcsm.5810
- Faraone SV, 2019, J CLIN PSYCHIAT, V80, DOI 10.4088/JCP.18r12210
- Feinberg I, 2013, AM J PHYSIOL-REG I, V304, pR296, DOI 10.1152/ajpregu.00422.2012
- Gau SSF, 2007, SLEEP, V30, P195, DOI 10.1093/sleep/30.2.195
- Gregory AM, 2017, J CLIN CHILD ADOLESC, V46, P284, DOI 10.1080/15374416.2016.1183499
- Gregory AM, 2002, J AM ACAD CHILD PSY, V41, DOI 10.1097/00004583-200208000-00015
- Hemani G, 2018, ELIFE, V7, DOI 10.7554/eLife.34408
- Henry A, 2019, INT J EPIDEMIOL, V48, P849, DOI 10.1093/ije/dyz071
- Hoogman M, 2020, BIOL PSYCHIAT, V87, pS87
- Hoogman M, 2019, BIOL PSYCHIAT, V85, pS6, DOI 10.1016/j.biopsych.2019.03.030
- Huang J, 2015, J NEUROSCI, V35, P2572, DOI 10.1523/JNEUROSCI.2551-14.2015
- Hvolby A, 2015, ADHD-ATTEND DEFICIT, V7, P1, DOI 10.1007/s12402-014-0151-0
- Jansen PR, 2019, NAT GENET, V51, P394, DOI 10.1038/s41588-018-0333-3
- Jeong SH, 2014, EUR ARCH PSY CLIN N, V264, P71, DOI 10.1007/s00406-013-0443-y
- Jones SE, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08259-7
- Katzman M, 2014, CNS DRUGS, V28, P1005, DOI 10.1007/s40263-014-0175-1
- Kidwell KM, 2017, J PEDIATR PSYCHOL, V42, P1144, DOI 10.1093/jpepsy/jsx071
- Kidwell KM, 2015, PEDIATRICS, V136, P1144, DOI 10.1542/peds.2015-1708
- Kim DK, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109145
- Kissling C, 2008, AM J MED GENET B, V147B, P333, DOI 10.1002/ajmg.b.30602
- Konrad K, 2010, HUM BRAIN MAPP, V31, P904, DOI 10.1002/hbm.21058
- Korman M, 2020, WORLD J BIOL PSYCHIA, V21, P156, DOI 10.1080/15622975.2018.1523565
- Lane JM, 2019, NAT GENET, V51, P387, DOI 10.1038/s41588-019-0361-7
- Lawlor DA, 2008, STAT MED, V27, P1133, DOI 10.1002/sim.3034
- Liberzon A, 2011, BIOINFORMATICS, V27, P1739, DOI 10.1093/bioinformatics/btr260
- Machiela MJ, 2015, BIOINFORMATICS, V31, P3555, DOI 10.1093/bioinformatics/btv402
- Marinelli M, 2016, SLEEP, V39, P1859, DOI 10.5665/sleep.6170
- Massart R, 2014, TRANSL PSYCHIAT, V4, DOI 10.1038/tp.2013.120
- Mehta TR, 2019, CURR DEV DISORD REP, V6, P228, DOI 10.1007/s40474-019-00178-6
- Middeldorp CM, 2019, EUR J EPIDEMIOL, V34, P279, DOI 10.1007/s10654-019-00502-9
- Mota NR, 2020, NEUROPSYCHOPHARMACOL, V45, P1188, DOI 10.1038/s41386-019-0592-4
- Noble GS, 2012, BEHAV SLEEP MED, V10, P41, DOI 10.1080/15402002.2012.636274
- O'Keeffe SM, 2012, NEUROSCIENCE, V201, P219, DOI 10.1016/j.neuroscience.2011.11.002
- Pagel JF, 2007, J CLIN SLEEP MED, V3, P19
- Peralta GP, 2018, J DEV BEHAV PEDIATR, V39, P192, DOI 10.1097/DBP.0000000000000539
- Pievsky MA, 2018, ARCH CLIN NEUROPSYCH, V33, P143, DOI 10.1093/arclin/acx055
- Polanczyk G, 2007, AM J PSYCHIAT, V164, P942, DOI 10.1176/appi.ajp.164.6.942
- Sadeh A, 2006, SLEEP MED REV, V10, P381, DOI 10.1016/j.smrv.2006.03.004
- Saletin JM, 2019, SLEEP, V42, DOI 10.1093/sleep/zsy251
- Samea F, 2019, NEUROSCI BIOBEHAV R, V100, P1, DOI 10.1016/j.neubiorev.2019.02.011
- Scott N, 2013, J SLEEP RES, V22, P121, DOI 10.1111/j.1365-2869.2012.01054.x
- Shaw P, 2012, BIOL PSYCHIAT, V72, P191, DOI 10.1016/j.biopsych.2012.01.031
- Shen C, 2020, BIOL PSYCHIAT, V88, P459, DOI 10.1016/j.biopsych.2020.03.010
- Shen C, 2020, AM J PSYCHIAT, V177, P844, DOI 10.1176/appi.ajp.2020.19020183
- Skuladottir GV, 2016, LIPIDS HEALTH DIS, V15, DOI 10.1186/s12944-016-0309-1
- Smith GD, 2003, INT J EPIDEMIOL, V32, P1, DOI 10.1093/ije/dyg070
- Steinsbekk S, 2015, J DEV BEHAV PEDIATR, V36, P243, DOI 10.1097/DBP.0000000000000134
- Stoffers D, 2014, BRAIN, V137, P610, DOI 10.1093/brain/awt329
- Sudlow C, 2015, PLOS MED, V12, DOI 10.1371/journal.pmed.1001779
- Sung V, 2008, ARCH PEDIAT ADOL MED, V162, P336, DOI 10.1001/archpedi.162.4.336
- Telzer EH, 2015, DEV COGN NEUROS-NETH, V14, P16, DOI 10.1016/j.dcn.2015.05.007
- Vila MT, 2010, AN PEDIATR, V73, P78, DOI 10.1016/j.anpedi.2010.05.013
- Tso W, 2019, PEDIATR RES, V85, P449, DOI 10.1038/s41390-019-0280-4
- Urn YH, 2017, CLIN PSYCHOPHARM NEU, V15, P9, DOI 10.9758/cpn.2017.15.1.9
- Ventskovska O, 2015, J SLEEP RES, V24, P124, DOI 10.1111/jsr.12242
- Wang HM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11456-7
- Wang L, 2009, HUM BRAIN MAPP, V30, P638, DOI 10.1002/hbm.20530
- Watanabe K, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01261-5
- Wei Y, 2019, NEUROIMAGE-CLIN, V24, DOI 10.1016/j.nicl.2019.102019
- Weiss MD, 2010, CNS DRUGS, V24, P811, DOI 10.2165/11538990-000000000-00000
- Williams KE, 2016, J DEV BEHAV PEDIATR, V37, P385, DOI 10.1097/DBP.0000000000000281
- Xu XH, 2010, BEHAV BRAIN FUNCT, V6, DOI 10.1186/1744-9081-6-48
- Yoon SYR, 2012, SLEEP MED REV, V16, P371, DOI 10.1016/j.smrv.2011.07.001
- Zheng Jie, 2017, Curr Epidemiol Rep, V4, P330, DOI 10.1007/s40471-017-0128-6
- Zheng J, 2016, BEHAV GENET, V46, P815
- Zhu ZH, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02317-2