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Search: WFRF:(Mather K)

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  • 2021
  • swepub:Mat__t
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2.
  • 2019
  • Journal article (peer-reviewed)
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4.
  • Davies, G., et al. (author)
  • Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function
  • 2018
  • In: Nature Communications. - : Nature Publishing Group. - 2041-1723. ; 9:1
  • Journal article (peer-reviewed)abstract
    • General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.
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5.
  • Willems, S. M., et al. (author)
  • Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness
  • 2017
  • In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 8
  • Journal article (peer-reviewed)abstract
    • Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P<5 × 10-8) in combined analyses. A number of these loci contain genes implicated in structure and function of skeletal muscle fibres (ACTG1), neuronal maintenance and signal transduction (PEX14, TGFA, SYT1), or monogenic syndromes with involvement of psychomotor impairment (PEX14, LRPPRC and KANSL1). Mendelian randomization analyses are consistent with a causal effect of higher genetically predicted grip strength on lower fracture risk. In conclusion, our findings provide new biological insight into the mechanistic underpinnings of grip strength and the causal role of muscular strength in age-related morbidities and mortality. © The Author(s) 2017.
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7.
  • de Rojas, I., et al. (author)
  • Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
  • 2021
  • In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 12:1
  • Journal article (peer-reviewed)abstract
    • Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease. © 2021, The Author(s).
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8.
  • Chauhan, G., et al. (author)
  • Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting
  • 2019
  • In: Neurology. - : Ovid Technologies (Wolters Kluwer Health). - 0028-3878 .- 1526-632X. ; 92:5
  • Journal article (peer-reviewed)abstract
    • ObjectiveTo explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts.MethodsWe performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI.ResultsThe mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 x 10(-8); and LINC00539/ZDHHC20, p = 5.82 x 10(-9). Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p([BI]) = 9.38 x 10(-25); p([SSBI]) = 5.23 x 10(-14) for hypertension), smoking (p([BI]) = 4.4 x 10(-10); p([SSBI]) = 1.2 x 10(-4)), diabetes (p([BI]) = 1.7 x 10(-8); p([SSBI]) = 2.8 x 10(-3)), previous cardiovascular disease (p([BI]) = 1.0 x 10(-18); p([SSBI]) = 2.3 x 10(-7)), stroke (p([BI]) = 3.9 x 10(-69); p([SSBI]) = 3.2 x 10(-24)), and MRI-defined white matter hyperintensity burden (p([BI]) = 1.43 x 10(-157); p([SSBI]) = 3.16 x 10(-106)), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p 0.0022), without indication of directional pleiotropy.ConclusionIn this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI.
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9.
  • Gong, J., et al. (author)
  • Sex differences in dementia risk and risk factors: Individual-participant data analysis using 21 cohorts across six continents from the COSMIC consortium
  • 2023
  • In: Alzheimers & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 19:8, s. 3365-3378
  • Journal article (peer-reviewed)abstract
    • IntroductionSex differences in dementia risk, and risk factor (RF) associations with dementia, remain uncertain across diverse ethno-regional groups. MethodsA total of 29,850 participants (58% women) from 21 cohorts across six continents were included in an individual participant data meta-analysis. Sex-specific hazard ratios (HRs), and women-to-men ratio of hazard ratios (RHRs) for associations between RFs and all-cause dementia were derived from mixed-effect Cox models. ResultsIncident dementia occurred in 2089 (66% women) participants over 4.6 years (median). Women had higher dementia risk (HR, 1.12 [1.02, 1.23]) than men, particularly in low- and lower-middle-income economies. Associations between longer education and former alcohol use with dementia risk (RHR, 1.01 [1.00, 1.03] per year, and 0.55 [0.38, 0.79], respectively) were stronger for men than women; otherwise, there were no discernible sex differences in other RFs. DiscussionDementia risk was higher in women than men, with possible variations by country-level income settings, but most RFs appear to work similarly in women and men.
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  • Result 1-10 of 50
Type of publication
journal article (46)
conference paper (2)
research review (1)
Type of content
peer-reviewed (44)
other academic/artistic (5)
Author/Editor
Brodaty, H (17)
Mather, KA (15)
Sachdev, PS (14)
Armstrong, NJ (14)
Seshadri, S (13)
Andreassen, OA (12)
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Ames, D (12)
Amouyel, P (12)
Djurovic, S (11)
Gudnason, V (11)
Luciano, M (10)
Espeseth, T (10)
Boomsma, DI (9)
Amin, N (9)
Wittfeld, K (9)
Bis, JC (9)
Donohoe, G (9)
Nothen, MM (9)
Schmidt, H. (8)
Rujescu, D (8)
Trompet, S (8)
Van der Lee, SJ (8)
Andersson, Micael (8)
Satizabal, CL (8)
Teumer, A (8)
Cichon, S (8)
Crespo-Facorro, B (8)
Le Hellard, S (8)
Agartz, I (7)
Westlye, LT (7)
van Duijn, CM (7)
Agartz, Ingrid (7)
Westlye, Lars T (7)
Andreassen, Ole A (7)
Jahanshad, N (7)
Thompson, PM (7)
Corvin, A (7)
Ophoff, RA (7)
Soininen, H (7)
Desrivieres, S (7)
Ehrlich, S (7)
Bastin, ME (7)
de Zubicaray, GI (7)
Fisher, SE (7)
Glahn, DC (7)
Grabe, HJ (7)
Hardy, J (7)
Heinz, A (7)
Kwok, JB (7)
Mecocci, P (7)
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University
Karolinska Institutet (38)
Umeå University (14)
University of Gothenburg (11)
Uppsala University (11)
Stockholm University (7)
Lund University (6)
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Chalmers University of Technology (4)
Jönköping University (3)
Royal Institute of Technology (1)
Halmstad University (1)
Linköping University (1)
Stockholm School of Economics (1)
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Language
English (50)
Research subject (UKÄ/SCB)
Medical and Health Sciences (32)
Natural sciences (10)
Engineering and Technology (2)
Social Sciences (2)

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