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• W4313237692 abstract "Alzheimer's disease (AD), the most prevalent form of dementia, affects 6.5 million Americans and over 50 million people globally. Clinical, genetic, and phenotypic studies of dementia provide some insights of the observed progressive neurodegenerative processes, however, the mechanisms underlying AD onset remain enigmatic.This paper examines late-onset dementia-related cognitive impairment utilizing neuroimaging-genetics biomarker associations.The participants, ages 65-85, included 266 healthy controls (HC), 572 volunteers with mild cognitive impairment (MCI), and 188 Alzheimer's disease (AD) patients. Genotype dosage data for AD-associated single nucleotide polymorphisms (SNPs) were extracted from the imputed ADNI genetics archive using sample-major additive coding. Such 29 SNPs were selected, representing a subset of independent SNPs reported to be highly associated with AD in a recent AD meta-GWAS study by Jansen and colleagues.We identified the significant correlations between the 29 genomic markers (GMs) and the 200 neuroimaging markers (NIMs). The odds ratios and relative risks for AD and MCI (relative to HC) were predicted using multinomial linear models.In the HC and MCI cohorts, mainly cortical thickness measures were associated with GMs, whereas the AD cohort exhibited different GM-NIM relations. Network patterns within the HC and AD groups were distinct in cortical thickness, volume, and proportion of White to Gray Matter (pct), but not in the MCI cohort. Multinomial linear models of clinical diagnosis showed precisely the specific NIMs and GMs that were most impactful in discriminating between AD and HC, and between MCI and HC.This study suggests that advanced analytics provide mechanisms for exploring the interrelations between morphometric indicators and GMs. The findings may facilitate further clinical investigations of phenotypic associations that support deep systematic understanding of AD pathogenesis." @default.
• W4313237692 created "2023-01-06" @default.
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• W4313237692 date "2022-12-27" @default.
• W4313237692 modified "2023-10-14" @default.
• W4313237692 title "Brain structure and allelic associations in Alzheimer's disease" @default.
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• W4313237692 cites W1881339743 @default.
• W4313237692 cites W1928148042 @default.
• W4313237692 cites W1948763857 @default.
• W4313237692 cites W1964117773 @default.
• W4313237692 cites W1964539717 @default.
• W4313237692 cites W1973543655 @default.
• W4313237692 cites W1975873060 @default.
• W4313237692 cites W1976861043 @default.
• W4313237692 cites W1983261448 @default.
• W4313237692 cites W1991451437 @default.
• W4313237692 cites W2004293194 @default.
• W4313237692 cites W2006987624 @default.
• W4313237692 cites W2008298240 @default.
• W4313237692 cites W2019076145 @default.
• W4313237692 cites W2029644909 @default.
• W4313237692 cites W2034937783 @default.
• W4313237692 cites W2039605938 @default.
• W4313237692 cites W2060705109 @default.
• W4313237692 cites W2064257734 @default.
• W4313237692 cites W2064579827 @default.
• W4313237692 cites W2078524519 @default.
• W4313237692 cites W2102641393 @default.
• W4313237692 cites W2103481737 @default.
• W4313237692 cites W2105086806 @default.
• W4313237692 cites W2110208125 @default.
• W4313237692 cites W2110437310 @default.
• W4313237692 cites W2111307685 @default.
• W4313237692 cites W2111884236 @default.
• W4313237692 cites W2113580908 @default.
• W4313237692 cites W2115281122 @default.
• W4313237692 cites W2115457642 @default.
• W4313237692 cites W2115779804 @default.
• W4313237692 cites W2118117810 @default.
• W4313237692 cites W2120549461 @default.
• W4313237692 cites W2121369614 @default.
• W4313237692 cites W2129574594 @default.
• W4313237692 cites W2130828870 @default.
• W4313237692 cites W2130947702 @default.
• W4313237692 cites W2134105282 @default.
• W4313237692 cites W2136714878 @default.
• W4313237692 cites W2140718540 @default.
• W4313237692 cites W2143742215 @default.
• W4313237692 cites W2150321679 @default.
• W4313237692 cites W2157270343 @default.
• W4313237692 cites W2157848968 @default.
• W4313237692 cites W2166348468 @default.
• W4313237692 cites W2230276206 @default.
• W4313237692 cites W2266996964 @default.
• W4313237692 cites W2335453170 @default.
• W4313237692 cites W2399280193 @default.
• W4313237692 cites W2515536106 @default.
• W4313237692 cites W2528236220 @default.
• W4313237692 cites W2563770392 @default.
• W4313237692 cites W2574432813 @default.
• W4313237692 cites W2582787047 @default.
• W4313237692 cites W2790230359 @default.
• W4313237692 cites W2794943250 @default.
• W4313237692 cites W2799620240 @default.
• W4313237692 cites W2897913379 @default.
• W4313237692 cites W2904830263 @default.
• W4313237692 cites W2908002252 @default.
• W4313237692 cites W2915629137 @default.
• W4313237692 cites W2968250246 @default.
• W4313237692 cites W2994859243 @default.
• W4313237692 cites W3007931728 @default.
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• W4313237692 cites W3096652171 @default.
• W4313237692 cites W3111265770 @default.
• W4313237692 cites W3217529127 @default.
• W4313237692 cites W4200530493 @default.
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• W4313237692 doi "https://doi.org/10.1111/cns.14073" @default.
• W4313237692 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36575854" @default.
• W4313237692 hasPublicationYear "2022" @default.
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