Literature DB >> 29487403

Use of an Alzheimer's disease polygenic risk score to identify mild cognitive impairment in adults in their 50s.

Mark W Logue1,2,3, Matthew S Panizzon4,5, William S Kremen6,7,8, Jeremy A Elman4,5, Nathan A Gillespie9, Sean N Hatton4,5, Daniel E Gustavson4,5, Ole A Andreassen10,11, Anders M Dale4,5,12,13, Carol E Franz4,5, Michael J Lyons14, Michael C Neale9, Chandra A Reynolds15, Xin Tu16.   

Abstract

Early identification of younger, non-demented adults at elevated risk for Alzheimer's disease (AD) is crucial because the pathological process begins decades before dementia onset. Toward that end, we showed that an AD polygenic risk score (PRS) could identify mild cognitive impairment (MCI) in adults who were only in their 50s. Participants were 1176 white, non-Hispanic community-dwelling men of European ancestry in the Vietnam Era Twin Study of Aging (VETSA): 7% with amnestic MCI (aMCI); 4% with non-amnestic MCI (naMCI). Mean age was 56 years, with 89% <60 years old. Diagnosis was based on the Jak-Bondi actuarial/neuropsychological approach. We tested six P-value thresholds (0.05-0.50) for single nucleotide polymorphisms included in the ADPRS. After controlling for non-independence of twins and non-MCI factors that can affect cognition, higher PRSs were associated with significantly greater odds of having aMCI than being cognitively normal (odds ratios (ORs) = 1.36-1.43 for thresholds P < 0.20-0.50). The highest OR for the upper vs. lower quartile of the ADPRS distribution was 3.22. ORs remained significant after accounting for APOE-related SNPs from the ADPRS or directly genotyped APOE. Diabetes was associated with significantly increased odds of having naMCI (ORs = 3.10-3.41 for thresholds P < 0.05-0.50), consistent with naMCI having more vascular/inflammation components than aMCI. Analysis of sensitivity, specificity, and negative and positive predictive values supported some potential of ADPRSs for selecting participants in clinical trials aimed at early intervention. With participants 15+ years younger than most MCI samples, these findings are promising with regard to efforts to more effectively treat or slow AD progression.

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Mesh:

Year:  2018        PMID: 29487403      PMCID: PMC6110977          DOI: 10.1038/s41380-018-0030-8

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  39 in total

1.  Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis.

Authors:  Lisa T Eyler; Jeremy A Elman; Sean N Hatton; Sarah Gough; Anna K Mischel; Donald J Hagler; Carol E Franz; Anna Docherty; Christine Fennema-Notestine; Nathan Gillespie; Daniel Gustavson; Michael J Lyons; Michael C Neale; Matthew S Panizzon; Anders M Dale; William S Kremen
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

2.  Degree of cognitive impairment does not signify early versus late mild cognitive impairment: confirmation based on Alzheimer's disease polygenic risk.

Authors:  Jeremy A Elman; Eero Vuoksimaa; Carol E Franz; William S Kremen
Journal:  Neurobiol Aging       Date:  2020-06-11       Impact factor: 4.673

3.  Influence of young adult cognitive ability and additional education on later-life cognition.

Authors:  William S Kremen; Asad Beck; Jeremy A Elman; Daniel E Gustavson; Chandra A Reynolds; Xin M Tu; Mark E Sanderson-Cimino; Matthew S Panizzon; Eero Vuoksimaa; Rosemary Toomey; Christine Fennema-Notestine; Donald J Hagler; Bin Fang; Anders M Dale; Michael J Lyons; Carol E Franz
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-22       Impact factor: 11.205

Review 4.  The genetics of human ageing.

Authors:  David Melzer; Luke C Pilling; Luigi Ferrucci
Journal:  Nat Rev Genet       Date:  2019-11-05       Impact factor: 53.242

5.  Genetic risk for coronary heart disease alters the influence of Alzheimer's genetic risk on mild cognitive impairment.

Authors:  Jeremy A Elman; Matthew S Panizzon; Mark W Logue; Nathan A Gillespie; Michael C Neale; Chandra A Reynolds; Daniel E Gustavson; Brinda K Rana; Ole A Andreassen; Anders M Dale; Carol E Franz; Michael J Lyons; William S Kremen
Journal:  Neurobiol Aging       Date:  2019-06-08       Impact factor: 4.673

6.  Negative fateful life events in midlife and advanced predicted brain aging.

Authors:  Sean N Hatton; Carol E Franz; Jeremy A Elman; Matthew S Panizzon; Donald J Hagler; Christine Fennema-Notestine; Lisa T Eyler; Linda K McEvoy; Michael J Lyons; Anders M Dale; William S Kremen
Journal:  Neurobiol Aging       Date:  2018-03-08       Impact factor: 4.673

7.  Pupillary dilation responses as a midlife indicator of risk for Alzheimer's disease: association with Alzheimer's disease polygenic risk.

Authors:  William S Kremen; Matthew S Panizzon; Jeremy A Elman; Eric L Granholm; Ole A Andreassen; Anders M Dale; Nathan A Gillespie; Daniel E Gustavson; Mark W Logue; Michael J Lyons; Michael C Neale; Chandra A Reynolds; Nathan Whitsel; Carol E Franz
Journal:  Neurobiol Aging       Date:  2019-09-09       Impact factor: 4.673

Review 8.  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

9.  Association of baseline semantic fluency and progression to mild cognitive impairment in middle-aged men.

Authors:  Daniel E Gustavson; Jeremy A Elman; Matthew S Panizzon; Carol E Franz; Jordan Zuber; Mark Sanderson-Cimino; Chandra A Reynolds; Kristen C Jacobson; Hong Xian; Amy J Jak; Rosemary Toomey; Michael J Lyons; William S Kremen
Journal:  Neurology       Date:  2020-06-30       Impact factor: 9.910

10.  Extensive memory testing improves prediction of progression to MCI in late middle age.

Authors:  Daniel E Gustavson; Jeremy A Elman; Mark Sanderson-Cimino; Carol E Franz; Matthew S Panizzon; Amy J Jak; Chandra A Reynolds; Michael C Neale; Michael J Lyons; William S Kremen
Journal:  Alzheimers Dement (Amst)       Date:  2020-04-11
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