
Jian-Feng Feng
Articles
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Aug 29, 2024 |
nature.com | Ju-Jiao Kang |Yue-Ting Deng |Qiang Dong |Jian-Feng Feng |Wei Cheng
AbstractEducational attainment (EA), socioeconomic status (SES) and cognition are phenotypically and genetically linked to health outcomes. However, the role of copy number variations (CNVs) in influencing EA/SES/cognition remains unclear.
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Jul 9, 2024 |
nature.com | Yu Guo |Jia You |Lin-Bo Wang |Yue-Ting Deng |Qiang Dong |Jian-Feng Feng | +1 more
AbstractRecent expansion of proteomic coverage opens unparalleled avenues to unveil new biomarkers of Alzheimer’s disease (AD). Among 6,361 cerebrospinal fluid (CSF) proteins analysed from the ADNI database, YWHAG performed best in diagnosing both biologically (AUC = 0.969) and clinically (AUC = 0.857) defined AD. Four- (YWHAG, SMOC1, PIGR and TMOD2) and five- (ACHE, YWHAG, PCSK1, MMP10 and IRF1) protein panels greatly improved the accuracy to 0.987 and 0.975, respectively.
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May 26, 2024 |
nature.com | Jian-Feng Feng |Wei Cheng
AbstractPhysical frailty and genetic factors are both risk factors for increased dementia; nevertheless, the joint effect remains unclear. This study aimed to investigated the long-term relationship between physical frailty, genetic risk, and dementia incidence. A total of 274,194 participants from the UK Biobank were included. We applied Cox proportional hazards regression models to estimate the association between physical frailty and genetic and dementia risks.
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Feb 11, 2024 |
nature.com | Jia You |Qiang Dong |Jian-Feng Feng |Wei Cheng
AbstractThe advent of proteomics offers an unprecedented opportunity to predict dementia onset. We examined this in data from 52,645 adults without dementia in the UK Biobank, with 1,417 incident cases and a follow-up time of 14.1 years. Of 1,463 plasma proteins, GFAP, NEFL, GDF15 and LTBP2 consistently associated most with incident all-cause dementia (ACD), Alzheimer’s disease (AD) and vascular dementia (VaD), and ranked high in protein importance ordering.
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Jan 16, 2024 |
nature.com | Jian-Feng Feng |Wei Cheng
AbstractInconsistent findings exist regarding the potential association between polluted air and Parkinson’s disease (PD), with unclear insights into the role of inherited sensitivity. This study sought to explore the potential link between various air pollutants and PD risk, investigating whether genetic susceptibility modulates these associations. The population-based study involved 312,009 initially PD-free participants with complete genotyping data.
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