David J. Stott’s research while affiliated with University of Glasgow and other places

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Publications (575)


Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles
  • Article

September 2024

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72 Reads

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6 Citations

Blood

Jennifer E Huffman

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Jayna Nicholas

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Julie Hahn

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[...]

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Nicholas L Smith

Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole genome sequencing (WGS) data provides better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the NHLBI's Trans-Omics for Precision Medicine (TOPMed) program (n=32,572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (n=131,340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, four are driven by common variants of small effect with reported MAF at least 10 percentage points higher in African populations. Three signals (SERPINA1, ZFP36L2, and TLR10) contain predicted deleterious missense variants. Two loci, SOCS3 and HPN, each harbor two conditionally distinct, non-coding variants. The gene region encoding the fibrinogen protein chain subunits (FGG;FGB;FGA), contains 7 distinct signals, including one novel signal driven by rs28577061, a variant common in African ancestry populations but extremely rare in Europeans (MAFAFR=0.180; MAFEUR=0.008). Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation. -





A genome-wide association meta-analysis of all-cause and vascular dementia

July 2024

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50 Reads

INTRODUCTION: Dementia is a multifactorial disease with Alzheimer’s disease (AD) and vascular dementia (VaD) pathologies making the largest contributions. Yet, most genome-wide association studies (GWAS) focus on AD. METHODS: We conducted a GWAS of all-cause dementia (ACD) and examined the genetic overlap with VaD. Our dataset includes 800,597 individuals, with 46,902 and 8702 cases of ACD and VaD, respectively. Known AD loci for ACD and VaD were repli- cated. Bioinformatic analyses prioritized genes that are likely functionally relevant and shared with closely related traits and risk factors. RESULTS: For ACD, novel loci identified were associated with energy transport (SEMA4D), neuronal excitability (ANO3), amyloid deposition in the brain (RBFOX1), and magnetic resonance imaging markers of small vessel disease (SVD; HBEGF). Novel VaD loci were associated with hypertension, diabetes, and neuron maintenance (SPRY2, FOXA2, AJAP1, and PSMA3). DISCUSSION: Our study identified genetic risks underlying ACD, demonstrating overlap with neurodegenerative processes, vascular risk factors, and cerebral SVD.


Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles. , VA Million Veteran Program 83 , NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
  • Preprint
  • File available

July 2024

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79 Reads

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A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels

February 2024

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133 Reads

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4 Citations

Blood

Coagulation Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are critical to coagulation and platelet aggregation. We leveraged whole genome sequence data from the Trans-Omics for Precision Medicine (TOPMed) program along with TOPMed-based imputation of genotypes in additional samples to identify genetic associations with circulating FVIII and VWF levels in a single variant meta-analysis including up to 45,289 participants. Gene-based aggregate tests were implemented in TOPMed. We identified three candidate causal genes and tested their functional effect on FVIII release from human liver endothelial cells (HLECs) and VWF release from human umbilical vein endothelial cells (HUVECs). Mendelian randomization was also performed to provide evidence for causal associations of FVIII and VWF with thrombotic outcomes. We identified associations (P<5×10-9) at seven new loci for FVIII (ST3GAL4, CLEC4M, B3GNT2, ASGR1, F12, KNG1, and TREM1/NCR2) and one for VWF (B3GNT2). VWF, ABO, and STAB2 were associated with FVIII and VWF in gene-based analyses. Multi-phenotype analysis of FVIII and VWF identified another three new loci, including PDIA3. Silencing of B3GNT2 and the previously reported CD36 gene decreased release of FVIII by HLECs, while silencing of B3GNT2, CD36, and PDIA3 decreased release of VWF by HVECs. Mendelian randomization supports causal association of higher FVIII and VWF with increased risk of thrombotic outcomes. Seven new loci were identified for FVIII and one for VWF, with evidence supporting causal associations of FVIII and VWF with thrombotic outcomes. B3GNT2, CD36, and PDIA3 modulate the release of FVIII and/or VWF in vitro.


Schematic design of the project and analyses
a The hypothalamic-pituitary-thyroid axis is characterized by a negative feedback loop. The hypothalamus produces thyrotropin releasing hormone (TRH), which stimulates the pituitary to produce thyroxine-stimulating hormone (TSH). TSH stimulates the thyroid to produce thyroxine (T4) and triiodothyronine (T3), the active thyroid hormone affecting transcription in target cells. The majority of circulating T3 is produced by the liver and kidney by T4 to T3 conversion. b Step 1 represents the meta-analysis of 46 different European ancestry cohorts for eight thyroid function traits: TSH, FT4, FT3, TT3, FT3/FT4 ratio, TT3/FT4 ratio, high and low TSH. Step 2 shows the different secondary analyses performed using the meta-analyses results to identify the underlying mechanisms of the specific genome-wide variants and the translation to clinical diagnoses.
Genome wide association results for TSH, FT4, FT3 and FT3/FT4 ratio
The circos plot depicts the association results for TSH, FT4, FT3 and the FT3/FT4 ratio combined: red band: –log10(p) for association in the meta-analysis of TSH, ordered by chromosomal position. The blue line indicates genome-wide significance (p = 5 × 10⁻⁸). Blue band: –log10(p) for association with FT4, ordered by chromosomal position. The red line indicates genome-wide significance (p = 5 × 10⁻⁸). Purple band: –log10(p) for association with FT3, ordered by chromosomal position. The blue line indicates genome-wide significance (p = 5 × 10⁻⁸). Green band: –log10(p) for association with the FT3/FT4 ratio, ordered by chromosomal position. The red line indicates genome-wide significance (p = 5 × 10⁻⁸). The outer band indicates the positions of the associated loci as defined in Methods. Adjacent loci for a trait with the same gene names are merged. The color follows the same pattern as the association plots of the four traits. All p-values were obtained from two-sided association tests (z-statistics), where correction for multiple testing is indicated by the level of genome-wide significance.
Zoomed Manhattan plot for TSH and FT4
Zoomed Manhattan plot of the GWAS meta-analysis results for TSH (panel a) and FT4 (panel b). Variants are plotted on the x-axis according to their position on each chromosome with the -log10(p-value) of the association test on the y-axis. The horizontal line indicates the threshold for genome-wide significance, (p = 5 × 10⁻⁸). All p-values were obtained from two-sided association tests (z-statistics), where correction for multiple testing is indicated by the level of genome-wide significance. Novel loci are colored in orange, and novel independent associations within known loci are colored in light blue. Genetic variants were assigned to the nearest gene. Variants were considered known when they are in linkage disequilibrium with a previously identified variant (see Methods).
Genetic correlations of thyroid hormone parameters
Pairwise genetic correlations were estimated via bivariate LD score regression. In the upper part, positive genetic correlations are shown in blue, and negative correlations are depicted in red as indicated by the legend. The lower part shows the genetic correlation values. FDR was calculated via the Benjamini–Hochberg method to correct for multiple testing of all 15 correlations. Larger squares correspond to stronger genetic correlation. Significant correlations are indicated by asterisks (FDR: * <0.05, ** <0.001, *** <0.0001).
Colocalization of associations for thyroid function parameters and gene expression
In panel a, the different thyroid function traits are shown on the y-axis and the tested tissues (n = 49) derived from the GTEx database are shown on the x-axis. The number of significant colocalizations between thyroid function genome-wide significant variants and gene expression in the different tissues are shown in each box using a probability (P12) > 0.85 to confirm the H4 hypothesis (same shared causal variant). Tissue names are similarly colored when present in the same organ or belonging to the same group of tissues (blue or black). Detailed results of the colocalizations of TSH (panel b) and FT4 (panel c) are shown in the tissues of the hypothalamus-pituitary-thyroid axis.

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Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

January 2024

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357 Reads

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32 Citations

To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases.


Unadjusted Associations Between the Presence of Extreme Pain and Participant Characteristics
Adjusted Logistic Regression: Presence of Extreme Pain, Stratified by Time Points
Prevalence, Trajectory, and Predictors of Poststroke Pain: Retrospective Analysis of Pooled Clinical Trial Data Set

November 2023

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148 Reads

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3 Citations

Stroke

BACKGROUND Poststroke pain remains underdiagnosed and inadequately managed. To inform the optimum time to initiate interventions, we examined prevalence, trajectory, and participant factors associated with poststroke pain. METHODS Eligible studies from the VISTA (Virtual International Stroke Trials Archives) included an assessment of pain. Analyses of individual participant data examined demography, pain, mobility, independence, language, anxiety/depression, and vitality. Pain assessments were standardized to the European Quality of Life Scale (European Quality of Life 5 Dimensions 3 Level) pain domain, describing no, moderate, or extreme pain. We described pain prevalence, associations between participant characteristics, and pain using multivariable models. RESULTS From 94 studies (n>48 000 individual participant data) in VISTA, 10 (n=10 002 individual participant data) included a pain assessment. Median age was 70.0 years (interquartile range [59.0–77.1]), 5560 (55.6%) were male, baseline stroke severity was National Institutes of Health Stroke Scale score 10 (interquartile range [7–15]). Reports of extreme pain ranged between 3% and 9.5% and were highest beyond 2 years poststroke (31/328 [9.5%]); pain trajectory varied by study. Poorer independence was significantly associated with presence of moderate or extreme pain (5 weeks–3 months odds ratio [OR], 1.5 [95% CI, 1.4–1.6]; 4–6 months OR, 1.7 [95% CI, 1.3–2.1]; >6 months OR, 1.5 [95% CI, 1.2–2.0]), and increased severity of pain (5 weeks–3 months: OR, 1.2 [95% CI, 1.1–1.2]; 4–6 months OR, 1.1 [95% CI, 1.1–1.2]; >6 months, OR, 1.2 [95% CI, 1.1–1.2]), after adjusting for covariates. Anxiety/depression and lower vitality were each associated with pain severity. CONCLUSIONS Between 3% and 9.5% of participants reported extreme poststroke pain; the presence and severity of pain were independently associated with dependence at each time point. Future studies could determine whether and when interventions may reduce the prevalence and severity of poststroke pain.


Figure 2. Flow diagram of study populations.
Association between TSH normalization and characteristics in older adults with subclinical hypothyroidism from the pretrial population (N = 2335)
Incidence and Determinants of Spontaneous Normalization of Subclinical Hypothyroidism in Older Adults

October 2023

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98 Reads

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9 Citations

The Journal of Clinical Endocrinology and Metabolism

Context: With age, the prevalence of subclinical hypothyroidism rises. However, incidence and determinants of spontaneous normalization remain largely unknown. Objective: To investigate incidence and determinants of spontaneous normalization of thyroid-stimulating hormone (TSH) levels in older adults with subclinical hypothyroidism. Design: Pooled data were used from the (i) pre-trial population, and (ii) in-trial placebo group from two randomized, double-blind, placebo-controlled trials (TRUST and IEMO thyroid 80-plus thyroid trial). Setting: Community-dwelling 65 + adults with subclinical hypothyroidism from the Netherlands, Switzerland, Ireland, and the United Kingdom. Participants: The pre-trial population (N = 2335) consisted of older adults with biochemical subclinical hypothyroidism, defined as ≥1 elevated TSH measurement (≥4.60 mIU/L) and a free thyroxine (fT4) within the laboratory-specific reference range. Individuals with persistent subclinical hypothyroidism, defined as ≥2 elevated TSH measurements ≥3 months apart, were randomized to levothyroxine/placebo, of which the in-trial placebo group (N = 361) was included. Main outcome measures: Incidence of spontaneous normalization of TSH levels and associations between participant characteristics and normalization. Results: In the pre-trial phase, TSH levels normalized in 60.8% of participants in a median follow-up of one year. In the in-trial phase, levels normalized in 39.9% of participants after one year follow-up. Younger age, female sex, lower initial TSH level, higher initial fT4 level, absence of thyroid peroxidase antibodies, and a follow-up measurement in summer were independent determinants for normalization. Conclusions: Since TSH levels spontaneously normalized in a large proportion of older adults with subclinical hypothyroidism (also after confirmation by repeat measurement), a third measurement may be recommended before considering treatment.


Citations (78)


... 37,41 This is particularly relevant for the FGG p.Ala108Gly variant, which has been linked to hypofibrinogenemia in case reports, as well as lower fibrinogen levels in several GWAS studies, with the variant predicted to cause a 0.2-to 0.7-g/L reduction in fibrinogen levels per Gly allele. [85][86][87][88][89][90][91] In gnomAD v2, no homozygous individuals were identified for FGG p. Ala108Gly. In contrast, gnomAD v4 identified 12 homozygous individuals for this variant. ...

Reference:

Erratum to: Congenital Fibrinogen Deficiencies: Not So Rare
Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles
  • Citing Article
  • September 2024

Blood

... These 2 variants (p.Asp1472His and p.Pro1467Ser) will provide normal activity levels when using an assay that does not require ristocetin [36]. [42,43]. These genes are probably the next target of investigation in VWD patients with no obvious VWF variant, in particular, type 1 patients. ...

A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels
  • Citing Article
  • February 2024

Blood

... Previous studies, consistent with the findings of this study, indicated that hyperthyroidism increases the risk of multiple cardiovascular diseases, including atrial fibrillation 39 , heart failure 17 , coronary artery disease 40 , stroke 40 , heart valve involvement 41 , and cardiovascular mortality42 . Polygenic PheWAS also revealed that genetic associations represented by polygenic scores (PGS) of elevated FT3 levels and high TSH levels were associated with an increased risk of multiple cardiovascular diseases43 . Disease trajectories indicated that progressive cardiovascular diseases can further impair renal function, leading to disturbances in fluid and electrolyte metabolism. ...

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

... Taylor et al. [30] reported an increase in hypothyroidism in the UK between 2005 and 2014 in subjects aged over 60 years, with a consequent increase in L-T4 initiation. On the other hand, in a recent investigation of the incidence and determinants of spontaneous TSH normalization in subjects > 65 years old with an initial TSH value between 4.60 and 19.99 mIU/l, van der Spoel et al. [34] observed that the hormone had spontaneously normalized after about 1 year in about 61% of subjects. After a further year, the same phenomenon was observed in 40% of subjects with abnormal TSH randomized to placebo [34]. ...

Incidence and Determinants of Spontaneous Normalization of Subclinical Hypothyroidism in Older Adults

The Journal of Clinical Endocrinology and Metabolism

... It is estimated that 10-50% of stroke survivors experience some PSP [2][3][4], of which 70% report pain daily [5]. A recent analysis of pooled clinical trial data also showed that up to 3-9.5% of patients report extreme poststroke pain, with increasing numbers over time [6]. Individuals who experience pain following a stroke often endure other disabling sequelae, including cognitive decline, reduced Viktorisson et al. ...

Prevalence, Trajectory, and Predictors of Poststroke Pain: Retrospective Analysis of Pooled Clinical Trial Data Set

Stroke

... A 10years follow-up cohort study found that participants who developed mild cognitive impairment had a higher average rate of weight change compared to those with normal cognition[18]. Zonneveld et al. [19] found that high variability in weight in the elderly was an independent risk factor for cognitive decline. ...

Weight loss, visit-to-visit body weight variability and cognitive function in older individuals

Age and Ageing

... Summary-level data for DCM (n = 6584) and HCM (n = 2760) were obtained from recent GWAS data. 24 Genetic associations with HTN (n = 412,113), coronary heart disease (CHD) (n = 412,181), and pulmonary embolism (PE) (n = 411,174) were sourced from the FinnGen Consortium. 25 Genetic associations with HF 26 (n = 1,366,492 Europeans, 257,928 East Asians; 26,674 Africans (unspecified), 14,387 Other admixed ancestry), AF 27 (n = 456,348), and ischemic stroke (IS) 28 (n = 1,296,908 Europeans) were extracted from recent GWAS data. Gene effects are inherent in the allele and therefore invariant across genetic and environmental contexts. ...

Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries

Nature

... Here, NICM and DCM were sourced from distinct samples, where the phenotypic overlap between DCM and NICM (with DCM being a more homogenous subgroup of NICM) allowed for indirectly replication of our findings. The following 19 traits were used in the non-cardiac phenomewide scan: five stroke subtypes 16 , venous thromboembolism (VTE) 17 , abdominal aortic aneurysm (AAA) 17 , systolic/diastolic blood pressure (SBP/ DBP) 18 , body mass index (BMI) 19 , T2DM 20 , glycated haemoglobin (HbA1c) from the Neale UKB analysis (http://www.nealelab.is/uk-biobank), C-reactive protein (CRP) 21 , lung function measurement from the Neale UKB analysis (http://www.nealelab.is/uk-biobank, ...

Stroke genetics informs drug discovery and risk prediction across ancestries

Nature

... Finally, this was a targeted study and genome-wide approaches are necessary for more comprehensive association testing, although such approaches require larger sample sizes, particularly if cohorts or phenotyping is heterogeneous. Notably, the well-known Alzheimer's disease APOE/APOC1/TOMM40 region has been associated with verbal memory phenotypes in a number of studies [55][56][57], and a large meta-analysis additionally identified significant signals at CDH18, NT5DC2, STAB1, ITIH1, ITIH4, and PBRM1 and implicated synaptic and neurodevelopmental genes [57]. ...

Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning

Molecular Psychiatry

... The included studies were divided into three settings: 1) community/primary care (n = 19) [7,10,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], 2) secondary care/memory clinic (n = 12) [14,[35][36][37][38][39][40][41][42][43][44][45], and 3) tertiary care/hospitalized (n = 3) [46][47][48] (Tables 1 and 2). No studies were conducted in the perioperative setting such as preoperative clinics. ...

Comparative validity of informant tools for assessing pre‐stroke cognitive impairment

International Journal of Geriatric Psychiatry