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  1. Article ; Online: The genetic architecture of dementia with Lewy bodies is shaping up.

    Fornage, Myriam

    The Lancet. Neurology

    2017  Volume 17, Issue 1, Page(s) 25–26

    MeSH term(s) Dementia ; Humans ; Lewy Bodies ; Lewy Body Disease/genetics ; Parkinson Disease
    Language English
    Publishing date 2017-12-16
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 2081241-3
    ISSN 1474-4465 ; 1474-4422
    ISSN (online) 1474-4465
    ISSN 1474-4422
    DOI 10.1016/S1474-4422(17)30411-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Epigenome-wide association study of incident type 2 diabetes in Black and White participants from the Atherosclerosis Risk in Communities Study.

    Venkataraghavan, Sowmya / Pankow, James S / Boerwinkle, Eric / Fornage, Myriam / Selvin, Elizabeth / Ray, Debashree

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: DNA methylation studies of incident type 2 diabetes in US populations are limited, and to our knowledge none included individuals of African descent living in the US. We performed an epigenome-wide association analysis of blood-based methylation levels ... ...

    Abstract DNA methylation studies of incident type 2 diabetes in US populations are limited, and to our knowledge none included individuals of African descent living in the US. We performed an epigenome-wide association analysis of blood-based methylation levels at CpG sites with incident type 2 diabetes using Cox regression in 2,091 Black and 1,029 White individuals from the Atherosclerosis Risk in Communities study. At an epigenome-wide significance threshold of 10
    Language English
    Publishing date 2023-08-13
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.08.09.23293896
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The emerging genetic landscape of cerebral white matter hyperintensities.

    Fornage, Myriam / Beecham, Ashley H

    Neurology

    2019  Volume 92, Issue 8, Page(s) 355–356

    MeSH term(s) Brain ; Genetic Variation ; Humans ; Leukoaraiosis ; White Matter
    Language English
    Publishing date 2019-01-18
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 207147-2
    ISSN 1526-632X ; 0028-3878
    ISSN (online) 1526-632X
    ISSN 0028-3878
    DOI 10.1212/WNL.0000000000006936
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Imaging Endophenotypes of Stroke as a Target for Genetic Studies.

    Jian, Xueqiu / Fornage, Myriam

    Stroke

    2018  Volume 49, Issue 6, Page(s) 1557–1562

    MeSH term(s) Brain/diagnostic imaging ; Endophenotypes ; Genetic Predisposition to Disease ; Genetic Testing ; Humans ; Stroke/diagnostic imaging ; Stroke/genetics
    Language English
    Publishing date 2018-05-14
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Review
    ZDB-ID 80381-9
    ISSN 1524-4628 ; 0039-2499 ; 0749-7954
    ISSN (online) 1524-4628
    ISSN 0039-2499 ; 0749-7954
    DOI 10.1161/STROKEAHA.117.017073
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Alzheimer's Disease Genetic Risk, Cognition, and Brain Aging in Midlife.

    Brenowitz, Willa D / Fornage, Myriam / Launer, Lenore J / Habes, Mohamad / Davatzikos, Christos / Yaffe, Kristine

    Annals of neurology

    2022  Volume 93, Issue 3, Page(s) 629–634

    Abstract: We examined associations of an Alzheimer's disease (AD) Genetic Risk Score (AD-GRS) and midlife cognitive and neuroimaging outcomes in 1,252 middle-aged participants (311 with brain MRI). A higher AD-GRS based on 25 previously identified loci (excluding ... ...

    Abstract We examined associations of an Alzheimer's disease (AD) Genetic Risk Score (AD-GRS) and midlife cognitive and neuroimaging outcomes in 1,252 middle-aged participants (311 with brain MRI). A higher AD-GRS based on 25 previously identified loci (excluding apolipoprotein E [APOE]) was associated with worse Montreal Cognitive Assessment (-0.14 standard deviation [SD] [95% confidence interval {CI}: -0.26, -0.02]), older machine learning predicted brain age (2.35 years[95%CI: 0.01, 4.69]), and white matter hyperintensity volume (0.35 SD [95% CI: 0.00, 0.71]), but not with a composite cognitive outcome, total brain, or hippocampal volume. APOE ε4 allele was not associated with any outcomes. AD risk genes beyond APOE may contribute to subclinical differences in cognition and brain health in midlife. ANN NEUROL 2023;93:629-634.
    MeSH term(s) Middle Aged ; Humans ; Child, Preschool ; Alzheimer Disease/genetics ; Brain ; Aging/genetics ; Cognition ; Apolipoproteins E ; Apolipoprotein E4/genetics
    Chemical Substances Apolipoproteins E ; Apolipoprotein E4
    Language English
    Publishing date 2022-12-25
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.26569
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Identification of novel susceptibility methylation loci for pancreatic cancer in a two-phase epigenome-wide association study.

    Wang, Ziqiao / Lu, Yue / Fornage, Myriam / Jiao, Li / Shen, Jianjun / Li, Donghui / Wei, Peng

    Epigenetics

    2022  Volume 17, Issue 11, Page(s) 1357–1372

    Abstract: The role of DNA methylation and its interplay with gene expression in the susceptibility to pancreatic cancer (PanC) remains largely unexplored. To fill in this gap, we conducted an integrative two-phase epigenome-wide association study (EWAS) of PanC ... ...

    Abstract The role of DNA methylation and its interplay with gene expression in the susceptibility to pancreatic cancer (PanC) remains largely unexplored. To fill in this gap, we conducted an integrative two-phase epigenome-wide association study (EWAS) of PanC using genomic DNA from 44 cases and 556 controls (20 local controls and 536 public controls in the Framingham Heart Study) in phase 1 and 23 cases and 22 controls in phase 2. We validated the findings using pre-diagnostic blood samples from 13 cases and 26 controls in the Women's Health Initiative (WHI) Study. We further examined gene expression in peripheral leukocytes of 47 cases and 31 controls involved in the methylation study using RNA sequencing and performed bidirectional Mendelian randomization (MR) analysis using existing single nucleotide polymorphism (SNP) data. In phase 1, we identified 2776 significantly differentially methylated CpG sites (DMPs) and 154 significantly differentially methylated regions (DMRs). In phase 2, we validated six DMPs (in or near
    MeSH term(s) Humans ; Female ; Epigenome ; DNA Methylation ; Genome-Wide Association Study ; DNA ; Pancreatic Neoplasms/genetics ; CpG Islands ; Epigenesis, Genetic
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2022-01-14
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 1559-2308
    ISSN (online) 1559-2308
    DOI 10.1080/15592294.2022.2026591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: White matter hyperintensity genetic risk factor

    Yeung, Sunny Hoi-Sang / Lee, Ralph Hon-Sun / Cheng, Gerald Wai-Yeung / Ma, Iris Wai-Ting / Kofler, Julia / Kent, Candice / Ma, Fulin / Herrup, Karl / Fornage, Myriam / Arai, Ken / Tse, Kai-Hei

    bioRxiv : the preprint server for biology

    2024  

    Abstract: White matter hyperintensity (WMH) is strongly correlated with age-related dementia and hypertension, but its pathogenesis remains obscure. GWAS identified TRIM47 at 17q25 locus as a top genetic risk factor for WMH formation. TRIM family is a class of E3 ... ...

    Abstract White matter hyperintensity (WMH) is strongly correlated with age-related dementia and hypertension, but its pathogenesis remains obscure. GWAS identified TRIM47 at 17q25 locus as a top genetic risk factor for WMH formation. TRIM family is a class of E3 ubiquitin ligase with pivotal functions in autophagy, which is critical for brain endothelial cell (ECs) remodeling during hypertension. We hypothesize that TRIM47 regulates autophagy and its loss-of-function disturbs cerebrovasculature. Based on transcriptomics and immunohistochemistry, TRIM47 is found selectively expressed by brain ECs in human and mouse, and its transcription is upregulated by artificially-induced autophagy while downregulated in hypertension-like conditions. Using
    Summary statement: TRIM47, top genetic risk factor for white matter hyperintensity formation, is a negative regulator of autophagy in brain endothelial cells and implicates a novel cellular mechanism for age-related cerebrovascular changes.
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.12.18.566359
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Genetics of stroke.

    Fornage, Myriam

    Current atherosclerosis reports

    2009  Volume 11, Issue 3, Page(s) 167–174

    Abstract: Stroke is the third leading cause of death and the leading cause of severe long-term disability in developed countries. Despite significant progress in understanding the risk factors conferring disease predisposition, the genetic and molecular basis of ... ...

    Abstract Stroke is the third leading cause of death and the leading cause of severe long-term disability in developed countries. Despite significant progress in understanding the risk factors conferring disease predisposition, the genetic and molecular basis of stroke remains poorly understood. Recent advances in the identification and characterization of patterns of DNA sequence variation in human populations hold the promise that stroke genomics will offer significant insights into disease pathophysiology and open new avenues for the development of novel therapeutic modalities. However, beyond single nucleotide polymorphisms, the emergence of additional sources of genomic variability as major factors in disease etiology is likely to transform our DNA-centric approaches toward more integrative and comprehensive strategies. This review provides an overview of the current progress and future prospects of the application of genomic sciences to stroke research.
    MeSH term(s) Developed Countries ; Genetic Predisposition to Disease ; Humans ; Polymorphism, Single Nucleotide ; Risk Factors ; Stroke/genetics ; Stroke/physiopathology
    Language English
    Publishing date 2009-04-13
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2057369-8
    ISSN 1534-6242 ; 1523-3804
    ISSN (online) 1534-6242
    ISSN 1523-3804
    DOI 10.1007/s11883-009-0027-5
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  9. Article ; Online: Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging.

    Patel, Khush / Xie, Ziqian / Yuan, Hao / Islam, Sheikh Muhammad Saiful / Xie, Yaochen / He, Wei / Zhang, Wanheng / Gottlieb, Assaf / Chen, Han / Giancardo, Luca / Knaack, Alexander / Fletcher, Evan / Fornage, Myriam / Ji, Shuiwang / Zhi, Degui

    Communications biology

    2024  Volume 7, Issue 1, Page(s) 414

    Abstract: Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of ... ...

    Abstract Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of traditionally expert-defined or software-derived image-derived phenotypes (IDPs) that are often based on theoretical preconceptions or computed from limited amounts of data. Here, we present an approach to derive brain imaging phenotypes using unsupervised deep representation learning. We train a 3-D convolutional autoencoder model with reconstruction loss on 6130 UK Biobank (UKBB) participants' T1 or T2-FLAIR (T2) brain MRIs to create a 128-dimensional representation known as Unsupervised Deep learning derived Imaging Phenotypes (UDIPs). GWAS of these UDIPs in held-out UKBB subjects (n = 22,880 discovery and n = 12,359/11,265 replication cohorts for T1/T2) identified 9457 significant SNPs organized into 97 independent genetic loci of which 60 loci were replicated. Twenty-six loci were not reported in earlier T1 and T2 IDP-based UK Biobank GWAS. We developed a perturbation-based decoder interpretation approach to show that these loci are associated with UDIPs mapped to multiple relevant brain regions. Our results established unsupervised deep learning can derive robust, unbiased, heritable, and interpretable brain imaging phenotypes.
    MeSH term(s) Humans ; Genome-Wide Association Study/methods ; Phenotype ; Genetic Loci ; Brain/diagnostic imaging ; Neuroimaging
    Language English
    Publishing date 2024-04-05
    Publishing country England
    Document type Journal Article
    ISSN 2399-3642
    ISSN (online) 2399-3642
    DOI 10.1038/s42003-024-06096-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Cerebral Small-Vessel Disease in Individuals with a Family History of Coronary Heart Disease: The Atherosclerosis Risk in Communities Study.

    Johansen, Michelle C / Nyquist, Paul / Sullivan, Kevin J / Fornage, Myriam / Gottesman, Rebecca F / Becker, Diane M

    Neuroepidemiology

    2021  Volume 55, Issue 4, Page(s) 316–322

    Abstract: Introduction: The degree to which a family history of coronary heart disease (FHCHD) is associated with silent cerebral small-vessel disease (cSVD) among healthy adults, independent of prevalent CHD and traditional risk factors, is unknown.: Methods: ...

    Abstract Introduction: The degree to which a family history of coronary heart disease (FHCHD) is associated with silent cerebral small-vessel disease (cSVD) among healthy adults, independent of prevalent CHD and traditional risk factors, is unknown.
    Methods: The Atherosclerosis Risk in Communities (ARIC) study is a community-based cohort study with self-reported family history data and brain magnetic resonance imaging (ages 68-88). The association between markers of cSVD (lacunar infarcts and cerebral microbleeds), or log-transformed white matter hyperintensity (WMH) volume, and FHCHD, or the number of affected relatives was examined using separate adjusted logistic or linear regression models, respectively. Race interaction terms were evaluated.
    Results: Of 1,639 participants without prevalent CHD (76 ± 5 years, 62% female, 29% black), 686 (42%) had FHCHD. There were higher odds of lacunar infarct (OR 1.40, 95% CI 1.07-1.84) among those with parental FHCHD and higher odds of microhemorrhages (lobar OR 1.86, 95% CI 1.13-3.06; subcortical OR 1.47, 95% CI 1.01-2.15) among those with sibling FHCHD. A greater number of any relative affected was associated with higher odds of lacunar infarct (OR 1.24, 95% CI 1.04-1.47) and lobar microhemorrhages (OR 1.31, 95% CI 1.05-1.64) but not subcortical microhemorrhages (OR 1.09, 95% CI 0.92-1.28). Odds of having a lacunar infarct were higher among blacks (p-interaction 0.04) with paternal FHCHD (OR 2.20, CI 1.35-3.58) than whites with paternal FHCHD (OR 1.17, CI 0.87-1.56). There was no association with WMH.
    Discussion/conclusion: Markers of cSVD, specifically lacunar infarcts and microhemorrhages, appear to be associated with FHCHD, potentially representing shared mechanisms in different vascular beds, and perhaps a genetic propensity for vascular disease.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Atherosclerosis/diagnostic imaging ; Atherosclerosis/epidemiology ; Atherosclerosis/genetics ; Cerebral Small Vessel Diseases/diagnostic imaging ; Cerebral Small Vessel Diseases/epidemiology ; Cerebral Small Vessel Diseases/genetics ; Cohort Studies ; Coronary Disease/epidemiology ; Coronary Disease/genetics ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Risk Factors ; Stroke, Lacunar
    Language English
    Publishing date 2021-06-17
    Publishing country Switzerland
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 603189-4
    ISSN 1423-0208 ; 0251-5350
    ISSN (online) 1423-0208
    ISSN 0251-5350
    DOI 10.1159/000516428
    Database MEDical Literature Analysis and Retrieval System OnLINE

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