Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.
Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.
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DOI:
10.1038/s41593-022-01074-w
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发表时间:
2022-06
影响因子:
25
通讯作者:
Miller, Karla L.
中科院分区:
文献类型:
--
作者:
Wang, Chaoyue;Martins-Bach, Aurea B.;Alfaro-Almagro, Fidel;Douaud, Gwenaelle;Klein, Johannes C.;Llera, Alberto;Fiscone, Cristiana;Bowtell, Richard;Elliott, Lloyd T.;Smith, Stephen M.;Tendler, Benjamin C.;Miller, Karla L.
A key aim in epidemiological neuroscience is identification of markers to assess brain health and monitor therapeutic interventions. Quantitative susceptibility mapping (QSM) is an emerging magnetic resonance imaging technique that measures tissue magnetic susceptibility and has been shown to detect pathological changes in tissue iron, myelin and calcification. We present an open resource of QSM-based imaging measures of multiple brain structures in 35,273 individuals from the UK Biobank prospective epidemiological study. We identify statistically significant associations of 251 phenotypes with magnetic susceptibility that include body iron, disease, diet and alcohol consumption. Genome-wide associations relate magnetic susceptibility to 76 replicating clusters of genetic variants with biological functions involving iron, calcium, myelin and extracellular matrix. These patterns of associations include relationships that are unique to QSM, in particular being complementary to T2* signal decay time measures. These new imaging phenotypes are being integrated into the core UK Biobank measures provided to researchers worldwide, creating the potential to discover new, non-invasive markers of brain health. Wang et al. present a new open resource from the UK Biobank using quantitative susceptibility mapping, a neuroimaging marker sensitive to iron and myelin. They demonstrate a broad range of phenotypic and genetic associations in 35,885 participants.
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影响因子:
64.8
作者:
Elliott LT;Sharp K;Alfaro-Almagro F;Shi S;Miller KL;Douaud G;Marchini J;Smith SM
通讯作者:
Smith SM
影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
影响因子:
16.6
作者:
Eshaghi A;Young AL;Wijeratne PA;Prados F;Arnold DL;Narayanan S;Guttmann CRG;Barkhof F;Alexander DC;Thompson AJ;Chard D;Ciccarelli O
通讯作者:
Ciccarelli O
影响因子:
30.8
作者:
Bulik-Sullivan, Brendan K.;Loh, Po-Ru;Finucane, Hilary K.;Ripke, Stephan;Yang, Jian;Patterson, Nick;Daly, Mark J.;Price, Alkes L.;Neale, Benjamin M.
通讯作者:
Neale, Benjamin M.
DOI:
10.1073/pnas.1222142110
发表时间:
2013-06-11
影响因子:
11.1
作者:
Chowanadisai, Winyoo;Graham, David M.;Messerli, Mark A.
通讯作者:
Messerli, Mark A.