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Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Research output: Contribution to journalArticlepeer-review

95 Scopus citations

Abstract

Alzheimer’s disease (AD) is a leading cause of mortality in the elderly. While the coding change of APOE-ε4 is a key risk factor for late-onset AD and has been believed to be the only risk factor in the APOE locus, it does not fully explain the risk effect conferred by the locus. Here, we report the identification of AD causal variants in PVRL2 and APOC1 regions in proximity to APOE and define common risk haplotypes independent of APOE-ε4 coding change. These risk haplotypes are associated with changes of AD-related endophenotypes including cognitive performance, and altered expression of APOE and its nearby genes in the human brain and blood. High-throughput genome-wide chromosome conformation capture analysis further supports the roles of these risk haplotypes in modulating chromatin states and gene expression in the brain. Our findings provide compelling evidence for additional risk factors in the APOE locus that contribute to AD pathogenesis.

Original languageEnglish
Article number3310
JournalNature Communications
Volume10
Issue number1
DOIs
StatePublished - Dec 1 2019

Bibliographical note

Publisher Copyright:
© 2019, The Author(s).

Funding

We thank Dr. Yu Pong Ng, Dr. Kwok Wang Hung, Ka Chun Lok, Cara Kwong, Yuling Zhang, Saijuan Liu, Shuangshuang Ma, Yan Ma, and Chi Wai Ng for their excellent technical assistance, as well as other members of the Ip laboratory for many helpful discussions. This study was supported in part by the National Basic Research Program of China (973 Program; 2013CB530900), the Hong Kong Research Grants Council Theme-based Research Scheme (T13-607/12R), the General Research Fund (grant number GRF CUHK 471911), the Area of Excellence Scheme of the University Grants Committee (AoE/M-604/16), Innovation Technology Commission (ITS/393/15FP and ITCPD/17-9), the National Natural Science Foundation of China (31671047 and 31400923), the National Key R&D Program of China (SQ2018YFE020417, 2017YFE0190000), the Guangdong Provincial Key S&T Program (2018B030336001), and the Shenzhen Knowledge Innovation Program (JCYJ20151030140325152, JCYJ20170413173717055, JCYJ20151030154629774, JCYJ20170413165053031, and JCYJ20160428145818099). X.Z. was a recipient of the Hing Kee Java Edible Bird’s Nest (HKJEBN) Company Limited Scholarship for Health and Quality Living. Please refer to the Supplementary Notes 1 and 2 for corresponding acknowledgments for the ADNI dataset, Alzheimer’s Disease Genetics Consortium (ADGC) Genome Wide Association Study–NIA Alzheimer’s Disease Centers Cohort (ADC dataset, the National Institute on Aging–Late Onset Alzheimer’s Disease Family Study (LOAD dataset), funding support for the “Genetic Consortium for Late Onset Alzheimer’s Disease”, the Genotype-Tissue Expression (GTEx) Project and the CommonMind dataset. Part of the data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in the analysis or writing of this report. A complete listing of ADNI investigators can be found in the Supplementary Note and at the following URL: [http://adni.loni.usc.edu/ wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf].

FundersFunder number
Alzheimer’s Disease Genetics Consortium
DoD Alzheimer's Disease Neuroimaging Initiative
Research Grants Council, University Grants CommitteeT13-607/12R, AoE/M-604/16
National Institute on AgingP30AG010124
National Key Basic Research and Development Program of China2013CB530900, 2017YFE0190000, SQ2018YFE020417
General Research Fund of Shanghai Normal UniversityGRF CUHK 471911
Shenzhen Knowledge Innovation ProgramJCYJ20151030154629774, JCYJ20151030140325152, JCYJ20160428145818099, JCYJ20170413165053031, JCYJ20170413173717055
UK Industrial Decarbonization Research and Innovation Centre53706
National Center for Advancing Translational Sciences (NCATS)UL1TR002369
Innovation and Technology CommissionITS/393/15FP, ITCPD/17-9
Guangdong Provincial Key S&T Program2018B030336001
UK Medical Research Council, Engineering and Physical Sciences Research CouncilMR/L501542/1
National Natural Science Foundation of China (NSFC)31400923, 31671047

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    ASJC Scopus subject areas

    • General Chemistry
    • General Biochemistry, Genetics and Molecular Biology
    • General
    • General Physics and Astronomy

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