Genome-Wide association study of quantitative biomarkers identifies a novel locus for alzheimer's disease at 12p12.1

被引:9
作者
Lee, Brian [1 ]
Yao, Xiaohui [1 ]
Shen, Li [1 ]
机构
[1] Univ Penn, Dept Biostat Epidemiol & Informat, Perelman Sch Med, Philadelphia, PA 19104 USA
关键词
Alzheimer's disease; Genome-wide association study; Quantitative biomarkers; Cognitive traits; Imaging traits; RISK; PHENOTYPES; PROGRESS; GWAS; METAANALYSIS; DEMENTIA; GENES; TOOL; TAU;
D O I
10.1186/s12864-021-08269-8
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background Genetic study of quantitative biomarkers in Alzheimer's Disease (AD) is a promising method to identify novel genetic factors and relevant endophenotypes, which provides valuable information to deconvolute mechanistic complexity and better understand disease subtypes. Results Using the data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), we performed a genome-wide association study (GWAS) between 565,373 single nucleotide polymorphisms (SNPs) and 16 key AD biomarkers from 1,576 subjects at four visits. We identified a novel locus rs5011804 at 12p12.1 significantly associated with several AD biomarkers, including three cognitive traits (CDRSB, FAQ, ADAS13) and one imaging trait (fusiform volume). Additional mediation and interaction analyses investigated the relationships among this SNP, relevant biomarkers, and clinical diagnosis, confirming and further elaborating the genetic effects seen in the GWAS. Conclusion Our GWAS not only affirms key AD genes but also suggests the promising role of the SNP rs5011804 due to its associations with several AD cognitive and imaging outcomes. The SNP rs5011804 has a reported association with adult asthma and slightly affects intracranial volume but has not been associated with AD before. Our novel findings contribute to a more comprehensive view of the molecular mechanism behind AD.
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页数:13
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共 52 条
[1]   Craniosynostosis and Noonan syndrome with KRAS mutations: Expanding the phenotype with a case report and review of the literature [J].
Addissie, Yonit A. ;
Kotecha, Udhaya ;
Hart, Rachel A. ;
Martinez, Ariel F. ;
Kruszka, Paul ;
Muenke, Maximilian .
AMERICAN JOURNAL OF MEDICAL GENETICS PART A, 2015, 167 (11) :2657-2663
[2]  
ADNI, 2012, ALZH DIS NEUR IN
[3]  
Agora by NIA AMP-AD Consortium, 2019, NOM TARG LIST NEW AL
[4]   THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS [J].
BARON, RM ;
KENNY, DA .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1986, 51 (06) :1173-1182
[5]   Total, Direct, and Indirect Effects in Logit and Probit Models [J].
Breen, Richard ;
Karlson, Kristian Bernt ;
Holm, Anders .
SOCIOLOGICAL METHODS & RESEARCH, 2013, 42 (02) :164-191
[6]  
Clayton David, 2017, Bioconductor
[7]   Volumetric GWAS of medial temporal lobe structures identifies an ERC1 locus using ADNI high-resolution T2-weighted MRI data [J].
Cong, Shan ;
Yao, Xiaohui ;
Huang, Zhi ;
Risacher, Shannon L. ;
Nho, Kwangsik ;
Saykin, Andrew J. ;
Shen, Li .
NEUROBIOLOGY OF AGING, 2020, 95 :81-93
[8]   GWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer's Disease [J].
Cruchaga, Carlos ;
Kauwe, John S. K. ;
Harari, Oscar ;
Jin, Sheng Chih ;
Cai, Yefei ;
Karch, Celeste M. ;
Benitez, Bruno A. ;
Jeng, Amanda T. ;
Skorupa, Tara ;
Carrell, David ;
Bertelsen, Sarah ;
Bailey, Matthew ;
McKean, David ;
Shulman, Joshua M. ;
De Jager, Philip L. ;
Chibnik, Lori ;
Bennett, David A. ;
Arnold, Steve E. ;
Harold, Denise ;
Sims, Rebecca ;
Gerrish, Amy ;
Williams, Julie ;
Van Deerlin, Vivianna M. ;
Lee, Virginia M. -Y. ;
Shaw, Leslie M. ;
Trojanowski, John Q. ;
Haines, Jonathan L. ;
Mayeux, Richard ;
Pericak-Vance, Margaret A. ;
Farrer, Lindsay A. ;
Schellenberg, Gerard D. ;
Peskind, Elaine R. ;
Galasko, Douglas ;
Fagan, Anne M. ;
Holtzman, David M. ;
Morris, John C. ;
Goate, Alison M. .
NEURON, 2013, 78 (02) :256-268
[9]   Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers [J].
Deming, Yuetiva ;
Li, Zeran ;
Kapoor, Manav ;
Harari, Oscar ;
Del-Aguila, Jorge L. ;
Black, Kathleen ;
Carrell, David ;
Cai, Yefei ;
Fernandez, Maria Victoria ;
Budde, John ;
Ma, Shengmei ;
Saef, Benjamin ;
Howells, Bill ;
Huang, Kuan-lin ;
Bertelsen, Sarah ;
Fagan, Anne M. ;
Holtzman, David M. ;
Morris, John C. ;
Kim, Sungeun ;
Saykin, Andrew J. ;
De Jager, Philip L. ;
Albert, Marilyn ;
Moghekar, Abhay ;
O'Brien, Richard ;
Riemenschneider, Matthias ;
Petersen, Ronald C. ;
Blennow, Kaj ;
Zetterberg, Henrik ;
Minthon, Lennart ;
Van Deerlin, Vivianna M. ;
Lee, Virginia Man-Yee ;
Shaw, Leslie M. ;
Trojanowski, John Q. ;
Schellenberg, Gerard ;
Haines, Jonathan L. ;
Mayeux, Richard ;
Pericak-Vance, Margaret A. ;
Farrer, Lindsay A. ;
Peskind, Elaine R. ;
Li, Ge ;
Di Narzo, Antonio F. ;
Kauwe, John S. K. ;
Goate, Alison M. ;
Cruchaga, Carlos .
ACTA NEUROPATHOLOGICA, 2017, 133 (05) :839-856
[10]   Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria [J].
Dubois, Bruno ;
Hampel, Harald ;
Feldman, Howard H. ;
Scheltens, Philip ;
Aisen, Paul ;
Andrieu, Sandrine ;
Bakardjian, Hovagim ;
Benali, Habib ;
Bertram, Lars ;
Blennow, Kaj ;
Broich, Karl ;
Cavedo, Enrica ;
Crutch, Sebastian ;
Dartigues, Jean-Francois ;
Duyckaerts, Charles ;
Epelbaum, Stephane ;
Frisoni, Giovanni B. ;
Gauthier, Serge ;
Genthon, Remy ;
Gouw, Alida A. ;
Habert, Marie-Odile ;
Holtzman, David M. ;
Kivipelto, Miia ;
Lista, Simone ;
Molinuevo, Jose-Luis ;
O'Bryant, Sid E. ;
Rabinovici, Gil D. ;
Rowe, Christopher ;
Salloway, Stephen ;
Schneider, Lon S. ;
Sperling, Reisa ;
Teichmann, Marc ;
Carrillo, Maria C. ;
Cummings, Jeffrey ;
Jack, Cliff R., Jr. .
ALZHEIMERS & DEMENTIA, 2016, 12 (03) :292-323