Genetic data and cognitively defined late-onset Alzheimer's disease subgroups.

TitleGenetic data and cognitively defined late-onset Alzheimer's disease subgroups.
Publication TypeJournal Article
Year of Publication2018
AuthorsMukherjee S, Mez J, Trittschuh EH, Saykin AJ, Gibbons LE, Fardo DW, Wessels M, Bauman J, Moore M, Choi S-E, Gross AL, Rich J, Louden DKN, R Sanders E, Grabowski TJ, Bird TD, McCurry SM, Snitz BE, M Kamboh I, Lopez OL, De Jager PL, Bennett DA, C Keene D, Larson EB, Crane PK
Corporate AuthorsEPAD Study Group, Investigators from ACT, Investigators from ROS, Investigators from MAP, Investigators from ADNI, Investigators from the University of Pittsburgh ADRC
JournalMol Psychiatry
Date Published12/2018
ISSN1476-5578
Abstract

Categorizing people with late-onset Alzheimer's disease into biologically coherent subgroups is important for personalized medicine. We evaluated data from five studies (total n = 4050, of whom 2431 had genome-wide single-nucleotide polymorphism (SNP) data). We assigned people to cognitively defined subgroups on the basis of relative performance in memory, executive functioning, visuospatial functioning, and language at the time of Alzheimer's disease diagnosis. We compared genotype frequencies for each subgroup to those from cognitively normal elderly controls. We focused on APOE and on SNPs with p < 10 and odds ratios more extreme than those previously reported for Alzheimer's disease (<0.77 or >1.30). There was substantial variation across studies in the proportions of people in each subgroup. In each study, higher proportions of people with isolated substantial relative memory impairment had ≥1 APOE ε4 allele than any other subgroup (overall p = 1.5 × 10). Across subgroups, there were 33 novel suggestive loci across the genome with p < 10 and an extreme OR compared to controls, of which none had statistical evidence of heterogeneity and 30 had ORs in the same direction across all datasets. These data support the biological coherence of cognitively defined subgroups and nominate novel genetic loci.

DOI10.1038/s41380-018-0298-8
Alternate JournalMol. Psychiatry
PubMed ID30514930
PubMed Central IDPMC6548676
Grant ListR01 AG042437 / AG / NIA NIH HHS / United States
R01 AG029672 / AG / NIA NIH HHS / United States
K23 AG046377 / AG / NIA NIH HHS / United States
U01 AG042904 / / U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) /
P30 AG010133 / AG / NIA NIH HHS / United States
R01 AG019771 / AG / NIA NIH HHS / United States
P50 AG005136 / AG / NIA NIH HHS / United States
K01 AG050699 / AG / NIA NIH HHS / United States
P50 AG005133 / AG / NIA NIH HHS / United States
R01 AG030653 / AG / NIA NIH HHS / United States
R01 AG041718 / AG / NIA NIH HHS / United States
R01 AG017917 / AG / NIA NIH HHS / United States
U01 AG032984 / AG / NIA NIH HHS / United States
R01 AG030146 / AG / NIA NIH HHS / United States
U01 AG006781 / AG / NIA NIH HHS / United States
U01 HG006375 / HG / NHGRI NIH HHS / United States
U01 HG006375 / HG / NHGRI NIH HHS / United States
R01 AG019771 / AG / NIA NIH HHS / United States
R01 AG052521 / AG / NIA NIH HHS / United States
P30 AG010133 / AG / NIA NIH HHS / United States
U01 AG032984 / AG / NIA NIH HHS / United States
K01 AG050699 / AG / NIA NIH HHS / United States
R01 AG030146 / AG / NIA NIH HHS / United States
U01 AG024904 / AG / NIA NIH HHS / United States
R01 AG017917 / AG / NIA NIH HHS / United States
P50 AG005136 / AG / NIA NIH HHS / United States
R01 AG029672 / AG / NIA NIH HHS / United States
R01 AG042437 / AG / NIA NIH HHS / United States
P30 AG010161 / AG / NIA NIH HHS / United States
R44 AG042904 / AG / NIA NIH HHS / United States
P50 AG005133 / AG / NIA NIH HHS / United States
U01 AG006781 / AG / NIA NIH HHS / United States
K23 AG046377 / AG / NIA NIH HHS / United States
R01 AG030653 / AG / NIA NIH HHS / United States
R01 AG041718 / AG / NIA NIH HHS / United States
R43 AG042904 / AG / NIA NIH HHS / United States
R01 AG015819 / AG / NIA NIH HHS / United States