Genetic study of multimodal imaging Alzheimer's disease progression score implicates novel loci

被引:47
作者
Scelsi, Marzia A. [1 ]
Khan, Raiyan R. [2 ]
Lorenzi, Marco [1 ,3 ]
Christopher, Leigh [2 ]
Greicius, Michael D. [2 ]
Schott, Jonathan M. [4 ]
Ourselin, Sebastien [1 ,4 ,5 ]
Altmann, Andre [1 ]
机构
[1] UCL, Ctr Med Image Comp, Dept Med Phys & Biomed Engn, Gower St, London NW1 2HE, England
[2] Stanford Univ, Sch Med, Funct Imaging Neuropsychiat Disorders FIND Lab, Dept Neurol & Neurol Sci, Palo Alto, CA 94304 USA
[3] Univ Cote Azur, Epione Res Project, INRIA, BP 93 06 902, Sophia Antipolis, France
[4] UCL Inst Neurol, Queen Sq, London WC1N 3BG, England
[5] Kings Coll London, Sch Biomed Engn & Imaging Sci, London, England
基金
英国工程与自然科学研究理事会; 英国医学研究理事会; 欧盟第七框架计划;
关键词
dementia; amyloid imaging; structural MRI; GWAS; disease progression; GENOME-WIDE ASSOCIATION; MACULAR DEGENERATION; F-18-FLORBETAPIR PET; GENOTYPE IMPUTATION; HYPOTHETICAL MODEL; DYNAMIC BIOMARKERS; APOE GENOTYPE; HUMAN BRAIN; COMMON; VARIANTS;
D O I
10.1093/brain/awy141
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Identifying genetic risk factors underpinning different aspects of Alzheimer's disease has the potential to provide important insights into pathogenesis. Moving away from simple case-control definitions, there is considerable interest in using quantitative endophenotypes, such as those derived from imaging as outcome measures. Previous genome-wide association studies of imaging-derived biomarkers in sporadic late-onset Alzheimer's disease focused only on phenotypes derived from single imaging modalities. In contrast, we computed a novel multi-modal neuroimaging phenotype comprising cortical amyloid burden and bilateral hippocampal volume. Both imaging biomarkers were used as input to a disease progression modelling algorithm, which estimates the biomarkers' long-term evolution curves from population-based longitudinal data. Among other parameters, the algorithm computes the shift in time required to optimally align a subjects' biomarker trajectories with these population curves. This time shift serves as a disease progression score and it was used as a quantitative trait in a discovery genome-wide association study with n = 944 subjects from the Alzheimer's Disease Neuroimaging Initiative database diagnosed as Alzheimer's disease, mild cognitive impairment or healthy at the time of imaging. We identified a genome-wide significant locus implicating LCORL (rs6850306, chromosome 4; P = 1.03 x 10(-8)). The top variant rs6850306 was found to act as an expression quantitative trait locus for LCORL in brain tissue. The clinical role of rs6850306 in conversion from healthy ageing to mild cognitive impairment or Alzheimer's disease was further validated in an independent cohort comprising healthy, older subjects from the National Alzheimer's Coordinating Center database. Specifically, possession of a minor allele at rs6850306 was protective against conversion from mild cognitive impairment to Alzheimer's disease in the National Alzheimer's Coordinating Center cohort (hazard ratio = 0.593, 95% confidence interval = 0.387-0.907, n = 911, P-Bonf = 0.032), in keeping with the negative direction of effect reported in the genome-wide association study (beta(disease) (progression) (score) = -0.07 +/- 0.01). The implicated locus is linked to genes with known connections to Alzheimer's disease pathophysiology and other neurodegenerative diseases. Using multimodal imaging phenotypes in association studies may assist in unveiling the genetic drivers of the onset and progression of complex diseases.
引用
收藏
页码:2167 / 2180
页数:14
相关论文
共 63 条
  • [1] Genetic effects on gene expression across human tissues
    Aguet, Francois
    Brown, Andrew A.
    Castel, Stephane E.
    Davis, Joe R.
    He, Yuan
    Jo, Brian
    Mohammadi, Pejman
    Park, Yoson
    Parsana, Princy
    Segre, Ayellet V.
    Strober, Benjamin J.
    Zappala, Zachary
    Cummings, Beryl B.
    Gelfand, Ellen T.
    Hadley, Kane
    Huang, Katherine H.
    Lek, Monkol
    Li, Xiao
    Nedzel, Jared L.
    Nguyen, Duyen Y.
    Noble, Michael S.
    Sullivan, Timothy J.
    Tukiainen, Taru
    MacArthur, Daniel G.
    Getz, Gad
    Management, Nih Program
    Addington, Anjene
    Guan, Ping
    Koester, Susan
    Little, A. Roger
    Lockhart, Nicole C.
    Moore, Helen M.
    Rao, Abhi
    Struewing, Jeffery P.
    Volpi, Simona
    Collection, Biospecimen
    Brigham, Lori E.
    Hasz, Richard
    Hunter, Marcus
    Johns, Christopher
    Johnson, Mark
    Kopen, Gene
    Leinweber, William F.
    Lonsdale, John T.
    McDonald, Alisa
    Mestichelli, Bernadette
    Myer, Kevin
    Roe, Bryan
    Salvatore, Michael
    Shad, Saboor
    [J]. NATURE, 2017, 550 (7675) : 204 - +
  • [2] Altmann A, 2016, ALZHEIMERS DEMENT, V12, pP5
  • [3] A map of human genome variation from population-scale sequencing
    Altshuler, David
    Durbin, Richard M.
    Abecasis, Goncalo R.
    Bentley, David R.
    Chakravarti, Aravinda
    Clark, Andrew G.
    Collins, Francis S.
    De la Vega, Francisco M.
    Donnelly, Peter
    Egholm, Michael
    Flicek, Paul
    Gabriel, Stacey B.
    Gibbs, Richard A.
    Knoppers, Bartha M.
    Lander, Eric S.
    Lehrach, Hans
    Mardis, Elaine R.
    McVean, Gil A.
    Nickerson, DebbieA.
    Peltonen, Leena
    Schafer, Alan J.
    Sherry, Stephen T.
    Wang, Jun
    Wilson, Richard K.
    Gibbs, Richard A.
    Deiros, David
    Metzker, Mike
    Muzny, Donna
    Reid, Jeff
    Wheeler, David
    Wang, Jun
    Li, Jingxiang
    Jian, Min
    Li, Guoqing
    Li, Ruiqiang
    Liang, Huiqing
    Tian, Geng
    Wang, Bo
    Wang, Jian
    Wang, Wei
    Yang, Huanming
    Zhang, Xiuqing
    Zheng, Huisong
    Lander, Eric S.
    Altshuler, David L.
    Ambrogio, Lauren
    Bloom, Toby
    Cibulskis, Kristian
    Fennell, Tim J.
    Gabriel, Stacey B.
    [J]. NATURE, 2010, 467 (7319) : 1061 - 1073
  • [4] Integrating common and rare genetic variation in diverse human populations
    Altshuler, David M.
    Gibbs, Richard A.
    Peltonen, Leena
    Dermitzakis, Emmanouil
    Schaffner, Stephen F.
    Yu, Fuli
    Bonnen, Penelope E.
    de Bakker, Paul I. W.
    Deloukas, Panos
    Gabriel, Stacey B.
    Gwilliam, Rhian
    Hunt, Sarah
    Inouye, Michael
    Jia, Xiaoming
    Palotie, Aarno
    Parkin, Melissa
    Whittaker, Pamela
    Chang, Kyle
    Hawes, Alicia
    Lewis, Lora R.
    Ren, Yanru
    Wheeler, David
    Muzny, Donna Marie
    Barnes, Chris
    Darvishi, Katayoon
    Hurles, Matthew
    Korn, Joshua M.
    Kristiansson, Kati
    Lee, Charles
    McCarroll, Steven A.
    Nemesh, James
    Keinan, Alon
    Montgomery, Stephen B.
    Pollack, Samuela
    Price, Alkes L.
    Soranzo, Nicole
    Gonzaga-Jauregui, Claudia
    Anttila, Verneri
    Brodeur, Wendy
    Daly, Mark J.
    Leslie, Stephen
    McVean, Gil
    Moutsianas, Loukas
    Nguyen, Huy
    Zhang, Qingrun
    Ghori, Mohammed J. R.
    McGinnis, Ralph
    McLaren, William
    Takeuchi, Fumihiko
    Grossman, Sharon R.
    [J]. NATURE, 2010, 467 (7311) : 52 - 58
  • [5] [Anonymous], R LANG ENV STAT COMP
  • [6] Adjusting for Heritable Covariates Can Bias Effect Estimates in Genome-Wide Association Studies
    Aschard, Hugues
    Vilhjalmsson, Bjarni J.
    Joshi, Amit D.
    Price, Alkes L.
    Kraft, Peter
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2015, 96 (02) : 329 - 339
  • [7] An atlas of genetic correlations across human diseases and traits
    Bulik-Sullivan, Brendan
    Finucane, Hilary K.
    Anttila, Verneri
    Gusev, Alexander
    Day, Felix R.
    Loh, Po-Ru
    Duncan, Laramie
    Perry, John R. B.
    Patterson, Nick
    Robinson, Elise B.
    Daly, Mark J.
    Price, Alkes L.
    Neale, Benjamin M.
    [J]. NATURE GENETICS, 2015, 47 (11) : 1236 - +
  • [8] Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion
    Cardoso, M. Jorge
    Modat, Marc
    Wolz, Robin
    Melbourne, Andrew
    Cash, David
    Rueckert, Daniel
    Ourselin, Sebastien
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (09) : 1976 - 1988
  • [9] Second-generation PLINK: rising to the challenge of larger and richer datasets
    Chang, Christopher C.
    Chow, Carson C.
    Tellier, Laurent C. A. M.
    Vattikuti, Shashaank
    Purcell, Shaun M.
    Lee, James J.
    [J]. GIGASCIENCE, 2015, 4
  • [10] Improved ancestry inference using weights from external reference panels
    Chen, Chia-Yen
    Pollack, Samuela
    Hunter, David J.
    Hirschhorn, Joel N.
    Kraft, Peter
    Price, Alkes L.
    [J]. BIOINFORMATICS, 2013, 29 (11) : 1399 - 1406