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Book ; Online: Non-Coding RNAs and Human Diseases

Li, Yujing / Shan, Ge / Teng, Zhao-Qian / Wingo, Thomas S.

2020

Keywords	Science: general issues ; Medical genetics ; miRNA ; ncRNAs ; lncRNA ; circRNA ; piRNA ; cancer biology ; neurologcial disorders
Size	1 electronic resource (346 pages)
Publisher	Frontiers Media SA
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT021230526
ISBN	9782889638321 ; 2889638324
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Parkinson Disease Risk in Patients With Rosacea.

Wingo, Thomas S

JAMA neurology

2016 Volume 73, Issue 5, Page(s) 501–502

MeSH term(s)	Humans ; Parkinson Disease ; Risk ; Rosacea
Language	English
Publishing date	2016-03-18
Publishing country	United States
Document type	Editorial ; Comment
ZDB-ID	2702023-X
ISSN	2168-6157 ; 2168-6149
ISSN (online)	2168-6157
ISSN	2168-6149
DOI	10.1001/jamaneurol.2016.0291
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Article ; Online: Association between Fine Particulate Matter Exposure and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease among a Cognitively Healthy Population-Based Cohort.

Casey, Emma / Li, Zhenjiang / Liang, Donghai / Ebelt, Stefanie / Levey, Allan I / Lah, James J / Wingo, Thomas S / Hüls, Anke

Environmental health perspectives

2024 Volume 132, Issue 4, Page(s) 47001

Abstract: Background: Epidemiological evidence suggests air pollution adversely affects cognition and increases the risk of Alzheimer's disease (AD), but little is known about the biological effects of fine particulate matter (: Objectives: We investigated the ...

Abstract	Background: Epidemiological evidence suggests air pollution adversely affects cognition and increases the risk of Alzheimer's disease (AD), but little is known about the biological effects of fine particulate matter ( Objectives: We investigated the association between 1-, 3-, and 5-y exposure to ambient and traffic-related Methods: We conducted a cross-sectional analysis using data from 1,113 cognitively healthy adults (45-75 y of age) from the Emory Healthy Brain Study in Georgia in the United States. CSF biomarker concentrations of Results: Interquartile range (IQR; Conclusion: In our study, consistent trends were found between 1-y
MeSH term(s)	Adult ; Humans ; United States ; Particulate Matter/analysis ; Air Pollutants/analysis ; Alzheimer Disease/epidemiology ; Cross-Sectional Studies ; Environmental Exposure/analysis ; Air Pollution/analysis ; Biomarkers/analysis
Chemical Substances	Particulate Matter ; Air Pollutants ; Biomarkers
Language	English
Publishing date	2024-04-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	195189-0
ISSN	1552-9924 ; 0091-6765 ; 1078-0475
ISSN (online)	1552-9924
ISSN	0091-6765 ; 1078-0475
DOI	10.1289/EHP13503
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Article ; Online: Identifying latent genetic interactions in genome-wide association studies using multiple traits.

Bass, Andrew J / Bian, Shijia / Wingo, Aliza P / Wingo, Thomas S / Cutler, David J / Epstein, Michael P

Genome medicine

2024 Volume 16, Issue 1, Page(s) 62

Abstract: The "missing" heritability of complex traits may be partly explained by genetic variants interacting with other genes or environments that are difficult to specify, observe, and detect. We propose a new kernel-based method called Latent Interaction ... ...

Abstract	The "missing" heritability of complex traits may be partly explained by genetic variants interacting with other genes or environments that are difficult to specify, observe, and detect. We propose a new kernel-based method called Latent Interaction Testing (LIT) to screen for genetic interactions that leverages pleiotropy from multiple related traits without requiring the interacting variable to be specified or observed. Using simulated data, we demonstrate that LIT increases power to detect latent genetic interactions compared to univariate methods. We then apply LIT to obesity-related traits in the UK Biobank and detect variants with interactive effects near known obesity-related genes (URL: https://CRAN.R-project.org/package=lit ).
MeSH term(s)	Humans ; Genome-Wide Association Study ; Obesity/genetics ; Epistasis, Genetic ; Quantitative Trait, Heritable ; Quantitative Trait Loci ; Models, Genetic ; Polymorphism, Single Nucleotide ; Genetic Predisposition to Disease ; Genetic Pleiotropy ; Phenotype ; Multifactorial Inheritance
Language	English
Publishing date	2024-04-25
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2484394-5
ISSN	1756-994X ; 1756-994X
ISSN (online)	1756-994X
ISSN	1756-994X
DOI	10.1186/s13073-024-01329-0
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Article ; Online: Important Correlates of Purpose in Life in a Diverse Population-Based Cohort: A Machine Learning Approach.

Bhatt, Rishab / Lori, Adriana / Liu, Jiaqi / Mei, Zhen / Wingo, Thomas S / Wingo, Aliza P

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry

2023 Volume 31, Issue 9, Page(s) 691–703

Abstract: Background: Purpose-in-life (PiL) refers to the tendency to derive meaning and purpose from daily life experiences. Individuals with higher PiL were more likely to have better physical, mental, and cognitive health in prospective studies. Here, we aimed ...

Abstract	Background: Purpose-in-life (PiL) refers to the tendency to derive meaning and purpose from daily life experiences. Individuals with higher PiL were more likely to have better physical, mental, and cognitive health in prospective studies. Here, we aimed to identify important correlates of PiL among people of diverse backgrounds. Methods: Participants were recruited by the population-based Health and Retirement Study and provided information on 34 different sociodemographic and psychosocial factors through psychometrically validated measures. To identify important correlates of PiL, we employed regularized regression implemented by Elastic Net on the entire cohort as well as among self-identified black participants only and white participants only, respectively. Results: A total of 6,620 participants were included in this study, among whom 913 were black and 5,707 were white. We identified 12 and 23 important sociodemographic and psychosocial correlates of PiL among black and white participants, respectively. Notably, all the 12 correlates in black participants were also correlates among white participants. Interestingly, when we examined both black and white participants together, being black was associated with having higher PiL. The correlates with the largest effect on PiL that were shared among black and white participants were hopelessness, perceived constraint on personal control, and self-mastery. Conclusion: Several sociodemographic and psychosocial factors most strongly associated with PiL were shared among black and white participants. Future studies should investigate whether interventions targeting correlates of PiL can lead to higher sense of life purpose in participants of diverse backgrounds.
MeSH term(s)	Humans ; Machine Learning ; Personal Satisfaction ; Psychology ; Sociodemographic Factors ; Black People ; White People
Language	English
Publishing date	2023-03-16
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	1278145-9
ISSN	1545-7214 ; 1064-7481
ISSN (online)	1545-7214
ISSN	1064-7481
DOI	10.1016/j.jagp.2023.03.003
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Article: Identifying latent genetic interactions in genome-wide association studies using multiple traits.

Bass, Andrew J / Bian, Shijia / Wingo, Aliza P / Wingo, Thomas S / Cutler, David J / Epstein, Michael P

bioRxiv : the preprint server for biology

2023

Abstract: Genome-wide association studies of complex traits frequently find that SNP-based estimates of heritability are considerably smaller than estimates from classic family-based studies. This 'missing' heritability may be partly explained by genetic variants ... ...

Abstract	Genome-wide association studies of complex traits frequently find that SNP-based estimates of heritability are considerably smaller than estimates from classic family-based studies. This 'missing' heritability may be partly explained by genetic variants interacting with other genes or environments that are difficult to specify, observe, and detect. To circumvent these challenges, we propose a new method to detect genetic interactions that leverages pleiotropy from multiple related traits without requiring the interacting variable to be specified or observed. Our approach, Latent Interaction Testing (LIT), uses the observation that correlated traits with shared latent genetic interactions have trait variance and covariance patterns that differ by genotype. LIT examines the relationship between trait variance/covariance patterns and genotype using a flexible kernel-based framework that is computationally scalable for biobank-sized datasets with a large number of traits. We first use simulated data to demonstrate that LIT substantially increases power to detect latent genetic interactions compared to a trait-by-trait univariate method. We then apply LIT to four obesity-related traits in the UK Biobank and detect genetic variants with interactive effects near known obesity-related genes. Overall, we show that LIT, implemented in the R package lit, uses shared information across traits to improve detection of latent genetic interactions compared to standard approaches.
Language	English
Publishing date	2023-09-13
Publishing country	United States
Document type	Preprint
DOI	10.1101/2023.09.11.557155
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Article ; Online: Joint effects of air pollution and neighborhood socioeconomic status on cognitive decline - Mediation by depression, high cholesterol levels, and high blood pressure.

Mei, Yiyang / Christensen, Grace M / Li, Zhenjiang / Waller, Lance A / Ebelt, Stefanie / Marcus, Michele / Lah, James J / Wingo, Aliza P / Wingo, Thomas S / Hüls, Anke

The Science of the total environment

2024 Volume 923, Page(s) 171535

Abstract: Air pollution and neighborhood socioeconomic status (N-SES) are associated with adverse cardiovascular health and neuropsychiatric functioning in older adults. This study examines the degree to which the joint effects of air pollution and N-SES on the ... ...

Abstract	Air pollution and neighborhood socioeconomic status (N-SES) are associated with adverse cardiovascular health and neuropsychiatric functioning in older adults. This study examines the degree to which the joint effects of air pollution and N-SES on the cognitive decline are mediated by high cholesterol levels, high blood pressure (HBP), and depression. In the Emory Healthy Aging Study, 14,390 participants aged 50+ years from Metro Atlanta, GA, were assessed for subjective cognitive decline using the cognitive function instrument (CFI). Information on the prior diagnosis of high cholesterol, HBP, and depression was collected through the Health History Questionnaire. Participants' census tracts were assigned 3-year average concentrations of 12 air pollutants and 16 N-SES characteristics. We used the unsupervised clustering algorithm Self-Organizing Maps (SOM) to create 6 exposure clusters based on the joint distribution of air pollution and N-SES in each census tract. Linear regression analysis was used to estimate the effects of the SOM cluster indicator on CFI, adjusting for age, race/ethnicity, education, and neighborhood residential stability. The proportion of the association mediated by high cholesterol levels, HBP, and depression was calculated by comparing the total and direct effects of SOM clusters on CFI. Depression mediated up to 87 % of the association between SOM clusters and CFI. For example, participants living in the high N-SES and high air pollution cluster had CFI scores 0.05 (95 %-CI:0.01,0.09) points higher on average compared to those from the high N-SES and low air pollution cluster; after adjusting for depression, this association was attenuated to 0.01 (95 %-CI:-0.04,0.05). HBP mediated up to 8 % of the association between SOM clusters and CFI and high cholesterol up to 5 %. Air pollution and N-SES associated cognitive decline was partially mediated by depression. Only a small portion (<10 %) of the association was mediated by HBP and high cholesterol.
MeSH term(s)	Humans ; Aged ; Hypercholesterolemia/chemically induced ; Depression/epidemiology ; Air Pollution/adverse effects ; Air Pollution/analysis ; Social Class ; Air Pollutants/analysis ; Cognitive Dysfunction/epidemiology ; Hypertension/chemically induced ; Cholesterol ; Environmental Exposure ; Particulate Matter/analysis
Chemical Substances	Air Pollutants ; Cholesterol (97C5T2UQ7J) ; Particulate Matter
Language	English
Publishing date	2024-03-06
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2024.171535
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Article ; Online: Differential DNA methylation in the brain as potential mediator of the association between traffic-related PM

Li, Zhenjiang / Liang, Donghai / Ebelt, Stefanie / Gearing, Marla / Kobor, Michael S / Konwar, Chaini / Maclsaac, Julie L / Dever, Kristy / Wingo, Aliza P / Levey, Allan I / Lah, James J / Wingo, Thomas S / Hüls, Anke

Alzheimer's & dementia : the journal of the Alzheimer's Association

2024 Volume 20, Issue 4, Page(s) 2538–2551

Abstract: Introduction: Growing evidence indicates that fine particulate matter (PM: Methods: We assessed genome-wide DNAm (Illumina EPIC BeadChips) in prefrontal cortex tissue and three AD-related neuropathological markers (Braak stage, CERAD, ABC score) for ... ...

Abstract	Introduction: Growing evidence indicates that fine particulate matter (PM Methods: We assessed genome-wide DNAm (Illumina EPIC BeadChips) in prefrontal cortex tissue and three AD-related neuropathological markers (Braak stage, CERAD, ABC score) for 159 donors, and estimated donors' residential traffic-related PM Results: PM Discussion: Our findings suggest differential DNAm related to neuroinflammation mediates the association between traffic-related PM Highlights: First study to evaluate the potential mediation effect of DNA methylation for the association between PM2.5 exposure and neuropathological changes of Alzheimer's disease. Study was based on brain tissues rarely investigated in previous air pollution research. Cg10495669, assigned to RBCK1 gene playing a role in inflammation, was associated consistently with 1-year, 3-year, and 5-year traffic-related PM2.5 exposures prior to death. Meet-in-the-middle approach and high-dimensional mediation analysis were used simultaneously to increase the potential of identifying the differentially methylated CpGs. Differential DNAm related to neuroinflammation was found to mediate the association between traffic-related PM2.5 and Alzheimer's disease.
MeSH term(s)	Humans ; DNA Methylation ; Alzheimer Disease/genetics ; Neuroinflammatory Diseases ; Particulate Matter/adverse effects ; Brain
Chemical Substances	Particulate Matter
Language	English
Publishing date	2024-02-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2211627-8
ISSN	1552-5279 ; 1552-5260
ISSN (online)	1552-5279
ISSN	1552-5260
DOI	10.1002/alz.13650
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Article: Editorial: Non-Coding RNAs and Human Diseases.

Li, Yujing / Shan, Ge / Teng, Zhao-Qian / Wingo, Thomas S

Frontiers in genetics

2020 Volume 11, Page(s) 523

Language	English
Publishing date	2020-05-25
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2606823-0
ISSN	1664-8021
ISSN	1664-8021
DOI	10.3389/fgene.2020.00523
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Article ; Online: Alzheimer's disease genetic burden is associated with mid-life depression among persons with normal cognition.

Wingo, Thomas S / Gerasimov, Ekaterina S / Canon, Se Min / Lah, James J / Levey, Allan I / Wingo, Aliza P

Alzheimer's & dementia : the journal of the Alzheimer's Association

2022

Abstract: Introduction: Despite an established link between depression and higher Alzheimer's disease (AD) risk, it is unclear whether the conditions share pathophysiology. Here, we investigated whether depression manifesting after age 50 is associated with a ... ...

Abstract	Introduction: Despite an established link between depression and higher Alzheimer's disease (AD) risk, it is unclear whether the conditions share pathophysiology. Here, we investigated whether depression manifesting after age 50 is associated with a genetic predisposition to AD. Methods: From the population-based Health and Retirement Study cohort with biennial assessments of depressive symptoms and cognitive performance, we studied 6656 individuals of European ancestry with whole-genome genotyping. Polygenic risk scores (PRSs) for AD were estimated and examined for an association with depression in cognitively normal participants using regression modeling. Results: Among cognitively normal participants, those with a higher AD PRS were more likely to experience depression after age 50 after accounting for the effects of genetic predisposition to depression, sex, age, and education. Discussion: Genetic predisposition to AD may be one of the factors contributing to the pathogenesis of mid-life depression. Whether there is a shared genetic basis between mid-life depression and AD merits further study.
Language	English
Publishing date	2022-06-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	2211627-8
ISSN	1552-5279 ; 1552-5260
ISSN (online)	1552-5279
ISSN	1552-5260
DOI	10.1002/alz.12716
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