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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2003 1
2004 1
2007 1
2009 2
2010 1
2011 2
2012 2
2013 5
2014 2
2015 4
2016 4
2017 2
2018 3
2019 4
2020 5
2021 14
2022 3
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Attributes and predictors of long COVID.
Sudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC, Pujol JC, Klaser K, Antonelli M, Canas LS, Molteni E, Modat M, Jorge Cardoso M, May A, Ganesh S, Davies R, Nguyen LH, Drew DA, Astley CM, Joshi AD, Merino J, Tsereteli N, Fall T, Gomez MF, Duncan EL, Menni C, Williams FMK, Franks PW, Chan AT, Wolf J, Ourselin S, Spector T, Steves CJ. Sudre CH, et al. Nat Med. 2021 Apr;27(4):626-631. doi: 10.1038/s41591-021-01292-y. Epub 2021 Mar 10. Nat Med. 2021. PMID: 33692530 Free PMC article.
Reports of long-lasting coronavirus disease 2019 (COVID-19) symptoms, the so-called 'long COVID', are rising but little is known about prevalence, risk factors or whether it is possible to predict a protracted course early in the disease. ...Long COVID was ch …
Reports of long-lasting coronavirus disease 2019 (COVID-19) symptoms, the so-called 'long COVID', are rising but little is known abou …
Genomics in Personalized Nutrition: Can You "Eat for Your Genes"?
Mullins VA, Bresette W, Johnstone L, Hallmark B, Chilton FH. Mullins VA, et al. Nutrients. 2020 Oct 13;12(10):3118. doi: 10.3390/nu12103118. Nutrients. 2020. PMID: 33065985 Free PMC article. Review.
Genome-wide single nucleotide polymorphism (SNP) data are now quickly and inexpensively acquired, raising the prospect of creating personalized dietary recommendations based on an individual's genetic variability at multiple SNPs. However, relatively little is known …
Genome-wide single nucleotide polymorphism (SNP) data are now quickly and inexpensively acquired, raising the prospect of creating personali …
Body Mass Index and Polygenic Risk for Alzheimer's Disease Predict Conversion to Alzheimer's Disease.
Moody JN, Valerio KE, Hasselbach AN, Prieto S, Logue MW, Hayes SM, Hayes JP; Alzheimer’s Disease Neuroimaging Initiative (ADNI). Moody JN, et al. J Gerontol A Biol Sci Med Sci. 2021 Jul 13;76(8):1415-1422. doi: 10.1093/gerona/glab117. J Gerontol A Biol Sci Med Sci. 2021. PMID: 33880516 Free PMC article.
Body mass index (BMI) is a risk factor for Alzheimer's disease (AD) although the relationship is complex. ...Participants included 52 individuals diagnosed as having mild cognitive impairment (MCI) at baseline who converted to AD within 2
Body mass index (BMI) is a risk factor for Alzheimer's disease (AD) although the relationship is c
Genetically predicted body mass index and Alzheimer's disease-related phenotypes in three large samples: Mendelian randomization analyses.
Mukherjee S, Walter S, Kauwe JSK, Saykin AJ, Bennett DA, Larson EB, Crane PK, Glymour MM; Adult Changes in Thought Study Investigators; Religious Orders Study/Memory and Aging Project Investigators; Alzheimer's Disease Genetics Consortium. Mukherjee S, et al. Alzheimers Dement. 2015 Dec;11(12):1439-1451. doi: 10.1016/j.jalz.2015.05.015. Epub 2015 Jun 12. Alzheimers Dement. 2015. PMID: 26079416 Free PMC article.
Observational research shows that higher body mass index (BMI) increases Alzheimer's disease (AD) risk, but it is unclear whether this association is causal. ...We evaluated individual-level data from the AD Genetics Consortium (AD …
Observational research shows that higher body mass index (BMI) increases Alzheimer's disease (AD) …
Causal role of high body mass index in multiple chronic diseases: a systematic review and meta-analysis of Mendelian randomization studies.
Larsson SC, Burgess S. Larsson SC, et al. BMC Med. 2021 Dec 15;19(1):320. doi: 10.1186/s12916-021-02188-x. BMC Med. 2021. PMID: 34906131 Free PMC article.
RESULTS: In a meta-analysis of results from published MR studies and de novo analyses of the FinnGen consortium, genetically predicted higher BMI was associated with increased risk of type 2 diabetes mellitus, 14 circulatory disease outcomes, asthma, chronic …
RESULTS: In a meta-analysis of results from published MR studies and de novo analyses of the FinnGen consortium, genetically predi
Risk factors for predicting progression from mild cognitive impairment to Alzheimer's disease: a systematic review and meta-analysis of cohort studies.
Li JQ, Tan L, Wang HF, Tan MS, Tan L, Xu W, Zhao QF, Wang J, Jiang T, Yu JT. Li JQ, et al. J Neurol Neurosurg Psychiatry. 2016 May;87(5):476-84. doi: 10.1136/jnnp-2014-310095. Epub 2015 May 22. J Neurol Neurosurg Psychiatry. 2016. PMID: 26001840 Review.
OBJECTIVE: We sought to identify the risk factors for predicting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD). ...Further positive associations were found for the presence of apolipoprotein E (APOE)epsilon4epsilon4 a …
OBJECTIVE: We sought to identify the risk factors for predicting the progression from mild cognitive impairment (MCI) to Alzheimer
Life Course Adiposity and Alzheimer's Disease: A Mendelian Randomization Study.
Li X, Tian Y, Yang YX, Ma YH, Shen XN, Chen SD, Dong Q, Tan L, Yu JT. Li X, et al. J Alzheimers Dis. 2021;82(2):503-512. doi: 10.3233/JAD-210345. J Alzheimers Dis. 2021. PMID: 34057091
BACKGROUND: Several studies showed that life course adiposity was associated with Alzheimer's disease (AD). However, the underlying causality remains unclear. ...METHODS: Instrumental variants were obtained from large genome-wide association studies (GWAS) fo …
BACKGROUND: Several studies showed that life course adiposity was associated with Alzheimer's disease (AD). However, th …
Investigating Predictors of Cognitive Decline Using Machine Learning.
Casanova R, Saldana S, Lutz MW, Plassman BL, Kuchibhatla M, Hayden KM. Casanova R, et al. J Gerontol B Psychol Sci Soc Sci. 2020 Mar 9;75(4):733-742. doi: 10.1093/geronb/gby054. J Gerontol B Psychol Sci Soc Sci. 2020. PMID: 29718387 Free PMC article.
We used machine learning to evaluate modifiable and genetic risk factors for Alzheimer's disease (AD), to predict cognitive decline. ...Top ranked predictors were education, age, gender, stroke, NSES, and diabetes, APOE epsilon4 carrier status, …
We used machine learning to evaluate modifiable and genetic risk factors for Alzheimer's disease (AD), to pre
Five-Year Change in Body Mass Index Predicts Conversion to Mild Cognitive Impairment or Dementia Only in APOE ɛ4 Allele Carriers.
Kadey KR, Woodard JL, Moll AC, Nielson KA, Smith JC, Durgerian S, Rao SM. Kadey KR, et al. J Alzheimers Dis. 2021;81(1):189-199. doi: 10.3233/JAD-201360. J Alzheimers Dis. 2021. PMID: 33749649
BACKGROUND: Body mass index (BMI) has been identified as an important modifiable lifestyle risk factor for dementia, but less is known about how BMI might interact with Apolipoprotein E e4 (APOE e4) carrier status to predict conversion to mild cognitiv …
BACKGROUND: Body mass index (BMI) has been identified as an important modifiable lifestyle risk factor for dementia, bu …
A Multimodal Risk Network Predicts Executive Function Trajectories in Non-demented Aging.
Sapkota S, McFall GP, Masellis M, Dixon RA. Sapkota S, et al. Front Aging Neurosci. 2021 Sep 16;13:621023. doi: 10.3389/fnagi.2021.621023. eCollection 2021. Front Aging Neurosci. 2021. PMID: 34603005 Free PMC article.
Background: Multiple modalities of Alzheimer's disease (AD) risk factors may operate through interacting networks to predict differential cognitive trajectories in asymptomatic aging. ...The measures included for each modifiable risk score were: (1) fu …
Background: Multiple modalities of Alzheimer's disease (AD) risk factors may operate through interacting networks to …
48 results