Literature DB >> 27662287

Pathway-Specific Polygenic Risk Scores as Predictors of Amyloid-β Deposition and Cognitive Function in a Sample at Increased Risk for Alzheimer's Disease.

Burcu F Darst1,2, Rebecca L Koscik1,3, Annie M Racine1,4, Jennifer M Oh1,4, Rachel A Krause1,4, Cynthia M Carlsson1,3,4,5, Henrik Zetterberg6,7, Kaj Blennow6, Bradley T Christian1,8, Barbara B Bendlin1,3,4, Ozioma C Okonkwo1,3,4,5, Kirk J Hogan1,3,9, Bruce P Hermann1,3,5,10, Mark A Sager1,3, Sanjay Asthana1,3,4,5, Sterling C Johnson1,3,4,5, Corinne D Engelman1,2,3,4.   

Abstract

Polygenic risk scores (PRSs) have been used to combine the effects of variants with small effects identified by genome-wide association studies. We explore the potential for using pathway-specific PRSs as predictors of early changes in Alzheimer's disease (AD)-related biomarkers and cognitive function. Participants were from the Wisconsin Registry for Alzheimer's Prevention, a longitudinal study of adults who were cognitively asymptomatic at enrollment and enriched for a parental history of AD. Using genes associated with AD in the International Genomics of Alzheimer's Project's meta-analysis, we identified clusters of genes that grouped into pathways involved in amyloid-β (Aβ) deposition and neurodegeneration: Aβ clearance, cholesterol metabolism, and immune response. Weighted pathway-specific and overall PRSs were developed and compared to APOE alone. Mixed models were used to assess whether each PRS was associated with cognition in 1,200 individuals, cerebral Aβ deposition measured using amyloid ligand (Pittsburgh compound B) positron emission imaging in 168 individuals, and cerebrospinal fluid Aβ deposition, neurodegeneration, and tau pathology in 111 individuals, with replication performed in an independent sample. We found that PRSs including APOE appeared to be driven by the inclusion of APOE, suggesting that the pathway-specific PRSs used here were not more predictive than an overall PRS or APOE alone. However, pathway-specific PRSs could prove to be useful as more knowledge is gained on the genetic variants involved in specific biological pathways of AD.

Entities:  

Keywords:  APOE; Alzheimer’s disease; Pittsburgh compound B; WRAP; amyloid-beta; cerebrospinal fluid; cognitive function; genetic risk scores; genetics; polygenic risk scores

Mesh:

Substances:

Year:  2017        PMID: 27662287      PMCID: PMC5123972          DOI: 10.3233/JAD-160195

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  37 in total

Review 1.  Cerebrospinal fluid protein biomarkers for Alzheimer's disease.

Authors:  Kaj Blennow
Journal:  NeuroRx       Date:  2004-04

2.  Heritability of cognitive traits among siblings with a parental history of Alzheimer's disease.

Authors:  Burcu F Darst; Rebecca L Koscik; Bruce P Hermann; Asenath La Rue; Mark A Sager; Sterling C Johnson; Corinne D Engelman
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

3.  Cerebrospinal fluid levels of β-amyloid 1-42, but not of tau, are fully changed already 5 to 10 years before the onset of Alzheimer dementia.

Authors:  Peder Buchhave; Lennart Minthon; Henrik Zetterberg; Asa K Wallin; Kaj Blennow; Oskar Hansson
Journal:  Arch Gen Psychiatry       Date:  2012-01

4.  Cerebrospinal fluid beta-amyloid 42 is reduced before the onset of sporadic dementia: a population-based study in 85-year-olds.

Authors:  I Skoog; P Davidsson; O Aevarsson; H Vanderstichele; E Vanmechelen; K Blennow
Journal:  Dement Geriatr Cogn Disord       Date:  2003       Impact factor: 2.959

5.  A 22-single nucleotide polymorphism Alzheimer's disease risk score correlates with family history, onset age, and cerebrospinal fluid Aβ42.

Authors:  Kristel Sleegers; Karolien Bettens; Arne De Roeck; Caroline Van Cauwenberghe; Elise Cuyvers; Jan Verheijen; Hanne Struyfs; Jasper Van Dongen; Steven Vermeulen; Sebastiaan Engelborghs; Mathieu Vandenbulcke; Rik Vandenberghe; Peter Paul De Deyn; Christine Van Broeckhoven
Journal:  Alzheimers Dement       Date:  2015-06-15       Impact factor: 21.566

6.  Blocking IL-1 signaling rescues cognition, attenuates tau pathology, and restores neuronal β-catenin pathway function in an Alzheimer's disease model.

Authors:  Masashi Kitazawa; David Cheng; Michelle R Tsukamoto; Maya A Koike; Paul D Wes; Vitaly Vasilevko; David H Cribbs; Frank M LaFerla
Journal:  J Immunol       Date:  2011-11-16       Impact factor: 5.422

7.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade.

Authors:  Clifford R Jack; David S Knopman; William J Jagust; Leslie M Shaw; Paul S Aisen; Michael W Weiner; Ronald C Petersen; John Q Trojanowski
Journal:  Lancet Neurol       Date:  2010-01       Impact factor: 44.182

Review 8.  The amyloid hypothesis of Alzheimer's disease: progress and problems on the road to therapeutics.

Authors:  John Hardy; Dennis J Selkoe
Journal:  Science       Date:  2002-07-19       Impact factor: 47.728

9.  Polygenic risk of Alzheimer disease is associated with early- and late-life processes.

Authors:  Elizabeth C Mormino; Reisa A Sperling; Avram J Holmes; Randy L Buckner; Philip L De Jager; Jordan W Smoller; Mert R Sabuncu
Journal:  Neurology       Date:  2016-07-06       Impact factor: 9.910

10.  Power and predictive accuracy of polygenic risk scores.

Authors:  Frank Dudbridge
Journal:  PLoS Genet       Date:  2013-03-21       Impact factor: 5.917

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  40 in total

1.  Integrated analysis of genomics, longitudinal metabolomics, and Alzheimer's risk factors among 1,111 cohort participants.

Authors:  Burcu F Darst; Qiongshi Lu; Sterling C Johnson; Corinne D Engelman
Journal:  Genet Epidemiol       Date:  2019-05-18       Impact factor: 2.135

2.  Polygenic hazard score: an enrichment marker for Alzheimer's associated amyloid and tau deposition.

Authors:  Chin Hong Tan; Chun Chieh Fan; Elizabeth C Mormino; Leo P Sugrue; Iris J Broce; Christopher P Hess; William P Dillon; Luke W Bonham; Jennifer S Yokoyama; Celeste M Karch; James B Brewer; Gil D Rabinovici; Bruce L Miller; Gerard D Schellenberg; Karolina Kauppi; Howard A Feldman; Dominic Holland; Linda K McEvoy; Bradley T Hyman; David A Bennett; Ole A Andreassen; Anders M Dale; Rahul S Desikan
Journal:  Acta Neuropathol       Date:  2017-11-24       Impact factor: 17.088

Review 3.  A Quarter Century of APOE and Alzheimer's Disease: Progress to Date and the Path Forward.

Authors:  Michaël E Belloy; Valerio Napolioni; Michael D Greicius
Journal:  Neuron       Date:  2019-03-06       Impact factor: 17.173

4.  Characterizing the Effects of Sex, APOE ɛ4, and Literacy on Mid-life Cognitive Trajectories: Application of Information-Theoretic Model Averaging and Multi-model Inference Techniques to the Wisconsin Registry for Alzheimer's Prevention Study.

Authors:  Rebecca L Koscik; Derek L Norton; Samantha L Allison; Erin M Jonaitis; Lindsay R Clark; Kimberly D Mueller; Bruce P Hermann; Corinne D Engelman; Carey E Gleason; Mark A Sager; Richard J Chappell; Sterling C Johnson
Journal:  J Int Neuropsychol Soc       Date:  2018-12-07       Impact factor: 2.892

5.  LOCALIZING DIFFERENTIALLY EVOLVING COVARIANCE STRUCTURES VIA SCAN STATISTICS.

Authors:  Ronak Mehta; Hyunwoo J Kim; Shulei Wang; Sterling C Johnson; Ming Yuan; Vikas Singh
Journal:  Q Appl Math       Date:  2018-12-17       Impact factor: 0.815

Review 6.  Progress in Polygenic Composite Scores in Alzheimer's and Other Complex Diseases.

Authors:  Danai Chasioti; Jingwen Yan; Kwangsik Nho; Andrew J Saykin
Journal:  Trends Genet       Date:  2019-03-25       Impact factor: 11.639

7.  Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer's Disease.

Authors:  Burcu F Darst; Zhiguang Huo; Erin M Jonaitis; Rebecca L Koscik; Lindsay R Clark; Qiongshi Lu; William S Kremen; Carol E Franz; Brinda Rana; Michael J Lyons; Kirk J Hogan; Jinying Zhao; Sterling C Johnson; Corinne D Engelman
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

8.  The effect of rare variants in TREM2 and PLD3 on longitudinal cognitive function in the Wisconsin Registry for Alzheimer's Prevention.

Authors:  Corinne D Engelman; Burcu F Darst; Murat Bilgel; Eva Vasiljevic; Rebecca L Koscik; Bruno M Jedynak; Sterling C Johnson
Journal:  Neurobiol Aging       Date:  2017-12-29       Impact factor: 4.673

Review 9.  A Blood Test for Alzheimer's Disease: Progress, Challenges, and Recommendations.

Authors:  Steven J Kiddle; Nicola Voyle; Richard J B Dobson
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

10.  Pilot proteomic analysis of cerebrospinal fluid in Alzheimer's disease.

Authors:  Justin McKetney; Daniel J Panyard; Sterling C Johnson; Cynthia M Carlsson; Corinne D Engelman; Joshua J Coon
Journal:  Proteomics Clin Appl       Date:  2021-04-26       Impact factor: 3.494

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