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G N S HS, Marise VLP, Satish KS, Yergolkar AV, Krishnamurthy M, Ganesan Rajalekshmi S, Radhika K, Burri RR. Untangling huge literature to disinter genetic underpinnings of Alzheimer's Disease: A systematic review and meta-analysis. Ageing Res Rev 2021; 71:101421. [PMID: 34371203 DOI: 10.1016/j.arr.2021.101421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 06/25/2021] [Accepted: 08/02/2021] [Indexed: 10/20/2022]
Abstract
Drug discovery for Alzheimer's Disease (AD) is channeled towards unravelling key disease specific drug targets/genes to predict promising therapeutic candidates. Though enormous literature on AD genetics is available, there exists dearth in data pertinent to drug targets and crucial pathological pathways intertwined in disease progression. Further, the research findings revealing genetic associations failed to demonstrate consistency across different studies. This scenario prompted us to initiate a systematic review and meta-analysis with an aim of unearthing significant genetic hallmarks of AD. Initially, a Boolean search strategy was developed to retrieve case-control studies from PubMed, Cochrane, ProQuest, Europe PMC, grey literature and HuGE navigator. Subsequently, certain inclusion and exclusion criteria were framed to shortlist the relevant studies. These studies were later critically appraised using New Castle Ottawa Scale and Q-Genie followed by data extraction. Later, meta-analysis was performed only for those Single Nucleotide Polymorphisms (SNPs) which were evaluated in at least two different ethnicities from two different reports. Among, 204,351 studies retrieved, 820 met our eligibility criteria and 117 were processed for systematic review after critical appraisal. Ultimately, meta-analysis was performed for 23 SNPs associated with 15 genes which revealed significant associations of rs3865444 (CD33), rs7561528 (BIN1) and rs1801133 (MTHFR) with AD risk.
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Kang S, Gim J, Lee J, Gunasekaran TI, Choi KY, Lee JJ, Seo EH, Ko PW, Chung JY, Choi SM, Lee YM, Jeong JH, Park KW, Song MK, Lee HW, Kim KW, Choi SH, Lee DY, Kim SY, Kim H, Kim BC, Ikeuchi T, Lee KH. Potential Novel Genes for Late-Onset Alzheimer's Disease in East-Asian Descent Identified by APOE-Stratified Genome-Wide Association Study. J Alzheimers Dis 2021; 82:1451-1460. [PMID: 34151794 PMCID: PMC8461686 DOI: 10.3233/jad-210145] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The present study reports two novel genome-wide significant loci for late-onset Alzheimer’s disease (LOAD) identified from APOE ε4 non-carrier subjects of East Asian origin. A genome-wide association study of Alzheimer’s disease was performed in 2,291 Korean seniors in the discovery phase, from the Gwangju Alzheimer’ and Related Dementias (GARD) cohort study. The study was replicated in a Japanese cohort of 1,956 subjects that suggested two novel susceptible SNPs in two genes: LRIG1 and CACNA1A. This study demonstrates that the discovery of AD-associated variants is feasible in non-European ethnic groups using samples comprising fewer subjects from the more homogeneous genetic background.
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Affiliation(s)
- Sarang Kang
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Integrative Biological Sciences, Chosun University, Gwangju, Republic of Korea
| | - Jungsoo Gim
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Integrative Biological Sciences, Chosun University, Gwangju, Republic of Korea.,Neurozen Inc., Seoul, Republic of Korea.,Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea
| | - Jiwoon Lee
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea
| | - Tamil Iniyan Gunasekaran
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea
| | - Jang Jae Lee
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea
| | - Eun Hyun Seo
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Premedical Science, Chosun University College of Medicine, Gwangju, Republic of Korea
| | - Pan-Woo Ko
- Department of Neurology, Kyungpook National University School of Medicine, Daegu, Republic of Korea
| | - Ji Yeon Chung
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Neurology, Chosun University Hospital, Gwangju, Republic of Korea
| | - Seong-Min Choi
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Neurology, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Young Min Lee
- Department of Psychiatry, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha WomansUniversity School of Medicine, Seoul, Republic of Korea
| | - Kyung Won Park
- Department of Neurology, Donga University College of Medicine, Busan, Republic of Korea
| | - Min Kyung Song
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Chonnam National University Gwangju 2nd Geriatric Hospital, Gwangju, Republic of Korea
| | - Ho-Won Lee
- Department of Neurology, Kyungpook National University School of Medicine, Daegu, Republic of Korea
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea
| | - Dong Young Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sang Yun Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hoowon Kim
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Neurology, Chosun University Hospital, Gwangju, Republic of Korea
| | - Byeong C Kim
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Neurology, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Kun Ho Lee
- Gwangju Alzheimer's & Related Dementias Cohort Research Center, Chosun University, Gwangju, Republic of Korea.,Department of Integrative Biological Sciences, Chosun University, Gwangju, Republic of Korea.,Neurozen Inc., Seoul, Republic of Korea.,Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea.,Korea Brain Research Institute, Daegu, Republic of Korea
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Seto M, Weiner RL, Dumitrescu L, Hohman TJ. Protective genes and pathways in Alzheimer's disease: moving towards precision interventions. Mol Neurodegener 2021; 16:29. [PMID: 33926499 PMCID: PMC8086309 DOI: 10.1186/s13024-021-00452-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 04/20/2021] [Indexed: 12/29/2022] Open
Abstract
Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that is characterized by neurodegeneration, cognitive impairment, and an eventual inability to perform daily tasks. The etiology of Alzheimer's is complex, with numerous environmental and genetic factors contributing to the disease. Late-onset AD is highly heritable (60 to 80%), and over 40 risk loci for AD have been identified via large genome-wide association studies, most of which are common variants with small effect sizes. Although these discoveries have provided novel insight on biological contributors to AD, disease-modifying treatments remain elusive. Recently, the concepts of resistance to pathology and resilience against the downstream consequences of pathology have been of particular interest in the Alzheimer's field as studies continue to identify individuals who evade the pathology of the disease even into late life and individuals who have all of the neuropathological features of AD but evade downstream neurodegeneration and cognitive impairment. It has been hypothesized that a shift in focus from Alzheimer's risk to resilience presents an opportunity to uncover novel biological mechanisms of AD and to identify promising therapeutic targets for the disease. This review will highlight a selection of genes and variants that have been reported to confer protection from AD within the literature and will also discuss evidence for the biological underpinnings behind their protective effect with a focus on genes involved in lipid metabolism, cellular trafficking, endosomal and lysosomal function, synaptic function, and inflammation. Finally, we offer some recommendations in areas where the field can rapidly advance towards precision interventions that leverage the ideas of protection and resilience for the development of novel therapeutic strategies.
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Affiliation(s)
- Mabel Seto
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN USA
| | - Rebecca L. Weiner
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN USA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN USA
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Smith JA, Zhao W, Yu M, Rumfelt KE, Moorjani P, Ganna A, Dey AB, Lee J, Kardia SLR. Association Between Episodic Memory and Genetic Risk Factors for Alzheimer's Disease in South Asians from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD). J Am Geriatr Soc 2020; 68 Suppl 3:S45-S53. [PMID: 32815605 DOI: 10.1111/jgs.16735] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/03/2020] [Accepted: 04/23/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND/OBJECTIVES Genetic factors play an important role in Alzheimer's disease (AD) and cognitive aging. However, it is unclear whether risk loci identified in European ancestry (EA) populations have similar effects in other groups, such as South Asians. DESIGN We investigated the allelic distribution and cognitive associations of 56 known AD risk single-nucleotide polymorphisms (SNPs) identified from three EA genome-wide association studies (EA-GWASs) in a South Asian population. Single SNP and genetic risk score (GRS) associations with measures of episodic memory were assessed. SETTING The Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). PARTICIPANTS A total of 906 LASI-DAD participants from diverse states in India. MEASUREMENTS Participants were genotyped using the Illumina Global Screening Array and imputed with 1000G Phase 3v5. Cognitive measures included total learning and delayed word recall. RESULTS Although only a few SNPs were significantly associated with memory scores (P < .05), effect estimates from the EA-GWAS and the LASI-DAD showed moderate correlation (0.35-0.88) in the expected direction. GRSs were also associated with memory scores, although percentage variation explained was small (0.1%-0.6%). CONCLUSIONS Discrepancies in allele frequencies and cognitive association results suggest that genetic factors found predominantly through EA-GWASs may play a limited role in South Asians. However, the extent of differences in the genetic architecture of AD and cognition in EA and South Asians remains uncertain. There is also a critical need to perform a more comprehensive assessment of the mutational spectrum of South Asia to identify novel genetic variants associated with AD and cognition in this population. J Am Geriatr Soc 68:S45-S53, 2020.
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Affiliation(s)
- Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Miao Yu
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Kalee E Rumfelt
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California, Berkeley, California, USA.,Center for Computational Biology, University of California, Berkeley, California, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, Helsinki, Finland
| | - Aparajit B Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Jinkook Lee
- Department of Economics, University of Southern California, Los Angeles, California, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
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Zhou X, Chen Y, Ip FCF, Lai NCH, Li YYT, Jiang Y, Zhong H, Chen Y, Zhang Y, Ma S, Lo RMN, Cheung K, Tong EPS, Ko H, Shoai M, Mok KY, Hardy J, Mok VCT, Kwok TCY, Fu AKY, Ip NY. Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese population. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12074. [PMID: 32775599 PMCID: PMC7403835 DOI: 10.1002/dad2.12074] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 07/07/2020] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Dozens of Alzheimer's disease (AD)-associated loci have been identified in European-descent populations, but their effects have not been thoroughly investigated in the Hong Kong Chinese population. METHODS TaqMan array genotyping was performed for known AD-associated variants in a Hong Kong Chinese cohort. Regression analysis was conducted to study the associations of variants with AD-associated traits and biomarkers. Lasso regression was applied to establish a polygenic risk score (PRS) model for AD risk prediction. RESULTS SORL1 is associated with AD in the Hong Kong Chinese population. Meta-analysis corroborates the AD-protective effect of the SORL1 rs11218343 C allele. The PRS is developed and associated with AD risk, cognitive status, and AD-related endophenotypes. TREM2 H157Y might influence the amyloid beta 42/40 ratio and levels of immune-associated proteins in plasma. DISCUSSION SORL1 is associated with AD in the Hong Kong Chinese population. The PRS model can predict AD risk and cognitive status in this population.
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Affiliation(s)
- Xiaopu Zhou
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
- Hong Kong Center for Neurodegenerative DiseasesHong Kong Science ParkHong KongChina
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
| | - Yu Chen
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
- The Brain Cognition and Brain Disease InstituteShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdongChina
| | - Fanny C. F. Ip
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
- Hong Kong Center for Neurodegenerative DiseasesHong Kong Science ParkHong KongChina
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
| | - Nicole C. H. Lai
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Yolanda Y. T. Li
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Yuanbing Jiang
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Huan Zhong
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Yuewen Chen
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
| | - Yulin Zhang
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
| | - Shuangshuang Ma
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
| | - Ronnie M. N. Lo
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Kit Cheung
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Estella P. S. Tong
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Ho Ko
- Division of NeurologyDepartment of Medicine and TherapeuticsLi Ka Shing Institute of Health SciencesSchool of Biomedical SciencesGerald Choa Neuroscience CenterFaculty of MedicineThe Chinese University of Hong KongShatinHong KongChina
| | - Maryam Shoai
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
| | - Kin Y. Mok
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
- Hong Kong Center for Neurodegenerative DiseasesHong Kong Science ParkHong KongChina
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
| | - John Hardy
- Hong Kong Center for Neurodegenerative DiseasesHong Kong Science ParkHong KongChina
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- Institute for Advanced StudyThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
| | - Vincent C. T. Mok
- Gerald Choa Neuroscience CentreLui Che Woo Institute of Innovative MedicineTherese Pei Fong Chow Research Centre for Prevention of DementiaDivision of NeurologyDepartment of Medicine and TherapeuticsThe Chinese University of Hong KongShatinHong KongChina
| | - Timothy C. Y. Kwok
- Therese Pei Fong Chow Research Centre for Prevention of DementiaDivision of GeriatricsDepartment of Medicine and TherapeuticsThe Chinese University of Hong KongShatinHong KongChina
| | - Amy K. Y. Fu
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
- Hong Kong Center for Neurodegenerative DiseasesHong Kong Science ParkHong KongChina
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
| | - Nancy Y. Ip
- Division of Life ScienceState Key Laboratory of Molecular Neuroscience and Molecular Neuroscience CenterThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina
- Hong Kong Center for Neurodegenerative DiseasesHong Kong Science ParkHong KongChina
- Guangdong Provincial Key Laboratory of Brain ScienceDisease and Drug DevelopmentHKUST Shenzhen Research InstituteShenzhen‐Hong Kong Institute of Brain ScienceShenzhenGuangdongChina
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Abstract
PURPOSE OF REVIEW Over the last decade over 40 loci have been associated with risk of Alzheimer's disease (AD). However, most studies have either focused on identifying risk loci or performing unbiased screens without a focus on protective variation in AD. Here, we provide a review of known protective variants in AD and their putative mechanisms of action. Additionally, we recommend strategies for finding new protective variants. RECENT FINDINGS Recent Genome-Wide Association Studies have identified both common and rare protective variants associated with AD. These include variants in or near APP, APOE, PLCG2, MS4A, MAPT-KANSL1, RAB10, ABCA1, CCL11, SORL1, NOCT, SCL24A4-RIN3, CASS4, EPHA1, SPPL2A, and NFIC. SUMMARY There are very few protective variants with functional evidence and a derived allele with a frequency below 20%. Additional fine mapping and multi-omic studies are needed to further validate and characterize known variants as well as specialized genome-wide scans to identify novel variants.
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Affiliation(s)
- Shea J Andrews
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Equal first author
| | - Brian Fulton-Howard
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Equal first author
| | - Alison Goate
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Abstract
Alzheimer's disease (AD), the main form of dementia in the elderly, is the most common progressive neurodegenerative disease characterized by rapidly progressive cognitive dysfunction and behavior impairment. AD exhibits a considerable heritability and great advances have been made in approaches to searching the genetic etiology of AD. In AD genetic studies, methods have developed from classic linkage-based and candidate-gene-based association studies to genome-wide association studies (GWAS) and next generation sequencing (NGS). The identification of new susceptibility genes has provided deeper insights to understand the mechanisms underlying AD. In addition to searching novel genes associated with AD in large samples, the NGS technologies can also be used to shed light on the 'black matter' discovery even in smaller samples. The shift in AD genetics between traditional studies and individual sequencing will allow biomaterials of each patient as the central unit of genetic studies. This review will cover genetic findings in AD and consequences of AD genetic findings. Firstly, we will discuss the discovery of mutations in APP, PSEN1, PSEN2, APOE, and ADAM10. Then we will summarize and evaluate the information obtained from GWAS of AD. Finally, we will outline the efforts to identify rare variants associated with AD using NGS.
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