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Dive into the research topics where Hieab H.H. Adams is active.

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Featured researches published by Hieab H.H. Adams.


Nature Neuroscience | 2017

A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease

Kuan lin Huang; Edoardo Marcora; Anna A. Pimenova; Antonio Di Narzo; Manav Kapoor; Sheng Chih Jin; Oscar Harari; Sarah Bertelsen; Benjamin P. Fairfax; Jake Czajkowski; Vincent Chouraki; Benjamin Grenier-Boley; Céline Bellenguez; Yuetiva Deming; Andrew McKenzie; Towfique Raj; Alan E. Renton; John Budde; Albert V. Smith; Annette L. Fitzpatrick; Joshua C. Bis; Anita L. DeStefano; Hieab H.H. Adams; M. Arfan Ikram; Sven J. van der Lee; Jorge L. Del-Aguila; Maria Victoria Fernandez; Laura Ibanez; Rebecca Sims; Valentina Escott-Price

A genome-wide survival analysis of 14,406 Alzheimers disease (AD) cases and 25,849 controls identified eight previously reported AD risk loci and 14 novel loci associated with age at onset. Linkage disequilibrium score regression of 220 cell types implicated the regulation of myeloid gene expression in AD risk. The minor allele of rs1057233 (G), within the previously reported CELF1 AD risk locus, showed association with delayed AD onset and lower expression of SPI1 in monocytes and macrophages. SPI1 encodes PU.1, a transcription factor critical for myeloid cell development and function. AD heritability was enriched within the PU.1 cistrome, implicating a myeloid PU.1 target gene network in AD. Finally, experimentally altered PU.1 levels affected the expression of mouse orthologs of many AD risk genes and the phagocytic activity of mouse microglial cells. Our results suggest that lower SPI1 expression reduces AD risk by regulating myeloid gene expression and cell function.


Neurobiology of Aging | 2015

Association of Alzheimer's disease GWAS loci with MRI markers of brain aging

Ganesh Chauhan; Hieab H.H. Adams; Joshua C. Bis; Galit Weinstein; Lei Yu; Anna Maria Töglhofer; Albert V. Smith; Sven J. van der Lee; Rebecca F. Gottesman; Russell Thomson; Jing Wang; Qiong Yang; Wiro J. Niessen; Oscar L. Lopez; James T. Becker; Thanh G. Phan; Richard Beare; Konstantinos Arfanakis; Debra A. Fleischman; Meike W. Vernooij; Bernard Mazoyer; Helena Schmidt; Velandai Srikanth; David S. Knopman; Clifford R. Jack; Philippe Amouyel; Albert Hofman; Charles DeCarli; Christophe Tzourio; Cornelia M. van Duijn

Whether novel risk variants of Alzheimers disease (AD) identified through genome-wide association studies also influence magnetic resonance imaging-based intermediate phenotypes of AD in the general population is unclear. We studied association of 24 AD risk loci with intracranial volume, total brain volume, hippocampal volume (HV), white matter hyperintensity burden, and brain infarcts in a meta-analysis of genetic association studies from large population-based samples (N = 8175-11,550). In single-SNP based tests, AD risk allele of APOE (rs2075650) was associated with smaller HV (p = 0.0054) and CD33 (rs3865444) with smaller intracranial volume (p = 0.0058). In gene-based tests, there was associations of HLA-DRB1 with total brain volume (p = 0.0006) and BIN1 with HV (p = 0.00089). A weighted AD genetic risk score was associated with smaller HV (beta ± SE = -0.047 ± 0.013, p = 0.00041), even after excluding the APOE locus (p = 0.029). However, only association of AD genetic risk score with HV, including APOE, was significant after multiple testing correction (including number of independent phenotypes tested). These results suggest that novel AD genetic risk variants may contribute to structural brain aging in nondemented older community persons.


Stroke | 2013

Rating Method for Dilated Virchow–Robin Spaces on Magnetic Resonance Imaging

Hieab H.H. Adams; Margherita Cavalieri; Benjamin F.J. Verhaaren; Daniel Bos; Aad van der Lugt; Christian Enzinger; Meike W. Vernooij; Reinhold Schmidt; M. Arfan Ikram

Background and Purpose— Dilated Virchow–Robin spaces are an emerging neuroimaging biomarker, but their assessment on MRI needs standardization. Methods— We developed a rating method for dilated Virchow–Robin spaces in 4 brain regions (centrum semiovale, basal ganglia, hippocampus, and mesencephalon) and tested its reliability in a total of 125 MRI scans from 2 population-based studies. Six investigators with varying levels of experience performed the ratings. Intraclass correlation coefficients were calculated to determine intra- and interrater reliability. Results— Intrarater reliability was excellent for all 4 regions (intraclass correlation coefficient, >0.8). Interrater reliability was excellent for the centrum semiovale and hippocampus (intraclass correlation coefficient, >0.8) and good for the basal ganglia and mesencephalon (intraclass correlation coefficient, 0.6–0.8). This did not differ between the cohorts or experience levels. Conclusions— We describe a reliable rating method that can facilitate pathogenic and prognostic research on dilated Virchow–Robin spaces using MRI.


Nature Communications | 2016

Heritability of the shape of subcortical brain structures in the general population

Gennady V. Roshchupkin; Boris A. Gutman; Meike W. Vernooij; Neda Jahanshad; Nicholas G. Martin; Albert Hofman; Katie L. McMahon; Sven J. van der Lee; Cornelia M. van Duijn; Greig I. de Zubicaray; André G. Uitterlinden; Margaret J. Wright; Wiro J. Niessen; Paul M. Thompson; M. Arfan Ikram; Hieab H.H. Adams

The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen and thalamus. In 3,686 unrelated individuals aged between 45 and 98 years, brain magnetic resonance imaging and genotyping was performed. The maximal heritability of shape varies from 32.7 to 53.3% across the subcortical structures. Genetic contributions to shape extend beyond influences on intracranial volume and the gross volume of the respective structure. The regional variance in heritability was related to the reliability of the measurements, but could not be accounted for by technical factors only. These findings could be replicated in an independent sample of 1,040 twins. Differences in genetic contributions within a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain structures.


Journal of Alzheimer's Disease | 2016

Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer’s Disease

Vincent Chouraki; Christiane Reitz; Fleur Maury; Joshua C. Bis; Céline Bellenguez; Lei Yu; Johanna Jakobsdottir; Shubhabrata Mukherjee; Hieab H.H. Adams; Seung Hoan Choi; Eric B. Larson; Annette L. Fitzpatrick; André G. Uitterlinden; Philip L. De Jager; Albert Hofman; Vilmundur Gudnason; Badri N. Vardarajan; Carla A. Ibrahim-Verbaas; Sven J. van der Lee; Oscar L. Lopez; Jean-François Dartigues; Claudine Berr; Philippe Amouyel; David A. Bennett; Cornelia van Duijn; Anita L. DeStefano; Lenore J. Launer; M. Arfan Ikram; Paul K. Crane; Jean-Charles Lambert

Effective prevention of Alzheimers disease (AD) requires the development of risk prediction tools permitting preclinical intervention. We constructed a genetic risk score (GRS) comprising common genetic variants associated with AD, evaluated its association with incident AD and assessed its capacity to improve risk prediction over traditional models based on age, sex, education, and APOEɛ4. In eight prospective cohorts included in the International Genomics of Alzheimers Project (IGAP), we derived weighted sum of risk alleles from the 19 top SNPs reported by the IGAP GWAS in participants aged 65 and older without prevalent dementia. Hazard ratios (HR) of incident AD were estimated in Cox models. Improvement in risk prediction was measured by the difference in C-index (Δ-C), the integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI>0). Overall, 19,687 participants at risk were included, of whom 2,782 developed AD. The GRS was associated with a 17% increase in AD risk (pooled HR = 1.17; 95% CI =   [1.13-1.21] per standard deviation increase in GRS; p-value =  2.86×10-16). This association was stronger among persons with at least one APOEɛ4 allele (HRGRS = 1.24; 95% CI =   [1.15-1.34]) than in others (HRGRS = 1.13; 95% CI =   [1.08-1.18]; pinteraction = 3.45×10-2). Risk prediction after seven years of follow-up showed a small improvement when adding the GRS to age, sex, APOEɛ4, and education (Δ-Cindex =  0.0043 [0.0019-0.0067]). Similar patterns were observed for IDI and NRI>0. In conclusion, a risk score incorporating common genetic variation outside the APOEɛ4 locus improved AD risk prediction and may facilitate risk stratification for prevention trials.


Molecular Psychiatry | 2017

Exome-sequencing in a large population-based study reveals a rare Asn396Ser variant in the LIPG gene associated with depressive symptoms

Najaf Amin; O. Jovanova; Hieab H.H. Adams; Abbas Dehghan; Maryam Kavousi; Meike W. Vernooij; Robin P. Peeters; F M S de Vrij; S. J. van der Lee; J G J van Rooij; E.M. Van Leeuwen; Layal Chaker; Ayse Demirkan; A. Hofman; Rutger W. W. Brouwer; Robert Kraaij; K. Willems van Dijk; Thomas Hankemeier; W F J van IJcken; A.G. Uitterlinden; Wiro J. Niessen; Oscar H. Franco; Steven A. Kushner; M. A. Ikram; Henning Tiemeier; C. M. van Duijn

Despite a substantial genetic component, efforts to identify common genetic variation underlying depression have largely been unsuccessful. In the current study we aimed to identify rare genetic variants that might have large effects on depression in the general population. Using high-coverage exome-sequencing, we studied the exonic variants in 1265 individuals from the Rotterdam study (RS), who were assessed for depressive symptoms. We identified a missense Asn396Ser mutation (rs77960347) in the endothelial lipase (LIPG) gene, occurring with an allele frequency of 1% in the general population, which was significantly associated with depressive symptoms (P-value=5.2 × 10−08, β=7.2). Replication in three independent data sets (N=3612) confirmed the association of Asn396Ser (P-value=7.1 × 10−03, β=2.55) with depressive symptoms. LIPG is predicted to have enzymatic function in steroid biosynthesis, cholesterol biosynthesis and thyroid hormone metabolic processes. The Asn396Ser variant is predicted to have a damaging effect on the function of LIPG. Within the discovery population, carriers also showed an increased burden of white matter lesions (P-value=3.3 × 1−02) and a higher risk of Alzheimer’s disease (odds ration=2.01; P-value=2.8 × 10−02) compared with the non-carriers. Together, these findings implicate the Asn396Ser variant of LIPG in the pathogenesis of depressive symptoms in the general population.


Stroke | 2015

White Matter Lesion Progression: Genome-Wide Search for Genetic Influences

Edith Hofer; Margherita Cavalieri; Joshua C. Bis; Charles DeCarli; Myriam Fornage; Sigurdur Sigurdsson; Velandai Srikanth; Stella Trompet; Benjamin F.J. Verhaaren; Christiane Wolf; Qiong Yang; Hieab H.H. Adams; Philippe Amouyel; Alexa Beiser; Brendan M. Buckley; Michele L. Callisaya; Ganesh Chauhan; Anton J. M. de Craen; Carole Dufouil; Cornelia M. van Duijn; Ian Ford; Paul Freudenberger; Rebecca F. Gottesman; Vilmundur Gudnason; Gerardo Heiss; Albert Hofman; Thomas Lumley; Oliver Martinez; Bernard Mazoyer; Chris Moran

Background and Purpose— White matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. Methods— Heritability of WML progression was calculated in the Framingham Heart Study. The genome-wide association study included 7773 elderly participants from 10 cohorts. To assess the relative contribution of genetic factors to progression of WML, we compared in 7 cohorts risk models including demographics, vascular risk factors plus single-nucleotide polymorphisms that have been shown to be associated cross-sectionally with WML in the current and previous association studies. Results— A total of 1085 subjects showed WML progression. The heritability estimate for WML progression was low at 6.5%, and no single-nucleotide polymorphisms achieved genome-wide significance (P<5×10−8). Four loci were suggestive (P<1×10−5) of an association with WML progression: 10q24.32 (rs10883817, P=1.46×10−6); 12q13.13 (rs4761974, P=8.71×10−7); 20p12.1 (rs6135309, P=3.69×10−6); and 4p15.31 (rs7664442, P=2.26×10−6). Variants that have been previously related to WML explained only 0.8% to 11.7% more of the variance in WML progression than age, vascular risk factors, and baseline WML burden. Conclusions— Common genetic factors contribute little to the progression of age-related WML in middle-aged and older adults. Future research on determinants of WML progression should focus more on environmental, lifestyle, or host-related biological factors.


Biological Psychiatry | 2014

TMEM106B Influences Volume of Left-Sided Temporal Lobe and Interhemispheric Structures in the General Population

Hieab H.H. Adams; Benjamin F.J. Verhaaren; Henri A. Vrooman; André G. Uitterlinden; Albert Hofman; Cornelia M. van Duijn; Aad van der Lugt; Wiro J. Niessen; Meike W. Vernooij; M. Arfan Ikram

BACKGROUND Frontotemporal lobar degeneration is a neurodegenerative disease characterized by brain atrophy of the frontal and anterior temporal lobes. The associated frontotemporal dementia syndromes are clinically heterogeneous, and the pattern of affected cortical regions varies among subtypes. The TMEM106B rs1990622 polymorphism is associated with frontotemporal lobar degeneration, but little is known about how it affects the brain. METHODS We investigated the rs1990622 polymorphism in relation to regional brain volumes to identify potential structures through which TMEM106B confers risk for frontotemporal lobar degeneration. In 4413 nondemented and stroke-free participants from the population-based Rotterdam Study, 150 cortical brain structures and 6 commissural regions were segmented from magnetic resonance imaging. RESULTS A distinct pattern of association was found between rs1990622 and gray matter volume of left-sided temporal brain regions important for language processing, including the superior temporal gyrus (β=-88.8 μL per risk allele, p=7.64×10(-5)), which contains Wernickes area. The risk allele was also associated with a smaller anterior commissure cross-sectional area (β=-.167 mm2 per risk allele, p=4.90×10(-5)) and posterior part of the corpus callosum (β=-15.3 μL per risk allele, p=1.23×10(-5)), both of which contain temporal lobe commissural tracts. CONCLUSIONS The asymmetric, predominantly left-sided involvement suggests an effect of TMEM106B on functions lateralized to the dominant hemisphere, such as language. These results show that, in nondemented persons, TMEM106B influences the volume of temporal brain regions that are important for language processing.


BMC Medicine | 2017

Genetics of vascular dementia – review from the ICVD working group

M. Arfan Ikram; Anna Bersano; Raquel Manso-Calderón; Jian Ping Jia; Helena Schmidt; Lefkos Middleton; Benedetta Nacmias; Saima Siddiqi; Hieab H.H. Adams

BackgroundVascular dementia is a common disorder resulting in considerable morbidity and mortality. Determining the extent to which genes play a role in disease susceptibility and their pathophysiological mechanisms could improve our understanding of vascular dementia, leading to a potential translation of this knowledge to clinical practice.DiscussionIn this review, we discuss what is currently known about the genetics of vascular dementia. The identification of causal genes remains limited to monogenic forms of the disease, with findings for sporadic vascular dementia being less robust. However, progress in genetic research on associated phenotypes, such as cerebral small vessel disease, Alzheimer’s disease, and stroke, have the potential to inform on the genetics of vascular dementia. We conclude by providing an overview of future developments in the field and how such work could impact patients and clinicians.ConclusionThe genetic background of vascular dementia is well established for monogenic disorders, but remains relatively obscure for the sporadic form. More work is needed for providing robust findings that might eventually lead to clinical translation.


Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2015

A priori collaboration in population imaging: The Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium

Hieab H.H. Adams; Saima Hilal; Petra Schwingenschuh; Katharina Wittfeld; Sven J. van der Lee; Charles DeCarli; Meike W. Vernooij; Petra Katschnig-Winter; Mohamad Habes; Christopher Chen; Sudha Seshadri; Cornelia M. van Duijn; M. Kamran Ikram; Hans J. Grabe; Reinhold Schmidt; M. Arfan Ikram

Virchow‐Robin spaces (VRS), or perivascular spaces, are compartments of interstitial fluid enclosing cerebral blood vessels and are potential imaging markers of various underlying brain pathologies. Despite a growing interest in the study of enlarged VRS, the heterogeneity in rating and quantification methods combined with small sample sizes have so far hampered advancement in the field.

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M. Arfan Ikram

Erasmus University Rotterdam

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Meike W. Vernooij

Erasmus University Rotterdam

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Albert Hofman

Erasmus University Rotterdam

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Sven J. van der Lee

Erasmus University Rotterdam

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Wiro J. Niessen

Erasmus University Rotterdam

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Joshua C. Bis

University of Washington

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