386 results on '"Edwards TL"'
Search Results
2. Tropism of engineered and evolved recombinant AAV serotypes in the rd1 mouse and ex vivo primate retina
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Hickey, DG, Edwards, TL, Barnard, AR, Singh, MS, de Silva, SR, McClements, ME, Flannery, JG, Hankins, MW, and MacLaren, RE
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Medical Biotechnology ,Biomedical and Clinical Sciences ,Ophthalmology and Optometry ,Eye Disease and Disorders of Vision ,Gene Therapy ,Genetics ,Neurosciences ,Biotechnology ,Eye ,Animals ,Dependovirus ,Disease Models ,Animal ,Genetic Vectors ,Humans ,Intravitreal Injections ,Macaca ,Mice ,Promoter Regions ,Genetic ,Recombination ,Genetic ,Retina ,Retinal Degeneration ,Retinal Ganglion Cells ,Retinal Pigment Epithelium ,Viral Tropism ,Virus Assembly ,Biological Sciences ,Medical and Health Sciences ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
There is much debate on the adeno-associated virus (AAV) serotype that best targets specific retinal cell types and the route of surgical delivery-intravitreal or subretinal. This study compared three of the most efficacious AAV vectors known to date in a mouse model of retinal degeneration (rd1 mouse) and macaque and human retinal explants. Green fluorescent protein (GFP) driven by a ubiquitous promoter was packaged into three AAV capsids: AAV2/8(Y733F), AAV2/2(quad Y-F) and AAV2/2(7m8). Overall, AAV2/2(7m8) transduced the largest area of retina and resulted in the highest level of GFP expression, followed by AAV2/2(quad Y-F) and AAV2/8(Y733F). AAV2/2(7m8) and AAV2/2(quad Y-F) both resulted in similar patterns of transduction whether they were injected intravitreally or subretinally. AAV2/8(Y733F) transduced a significantly smaller area of retina when injected intravitreally compared with subretinally. Retinal ganglion cells, horizontal cells and retinal pigment epithelium expressed relatively high levels of GFP in the mouse retina, whereas amacrine cells expressed low levels of GFP and bipolar cells were infrequently transduced. Cone cells were the most frequently transduced cell type in macaque retina explants, whereas Müller cells were the predominant transduced cell type in human retinal explants. Of the AAV serotypes tested, AAV2/2(7m8) was the most effective at transducing a range of cell types in degenerate mouse retina and macaque and human retinal explants.
- Published
- 2017
3. Perspectives of carriers of X-linked retinal diseases on genetic testing and gene therapy: A global survey
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Gocuk, SA, Edwards, TL, Jolly, JK, Ayton, LN, Gocuk, SA, Edwards, TL, Jolly, JK, and Ayton, LN
- Abstract
Female carriers of X-linked inherited retinal diseases (IRDs) are burdened with potentially passing their disease-causing variant to future generations, as well as exhibiting signs of retinal disease themselves. This study aimed to investigate carriers' experiences of genetic testing, emotions relating to having affected children, and their knowledge regarding genetic testing and gene therapy. An online survey was advertised to self-identified carriers worldwide. Two hundred and twenty-eight carriers completed the survey with mean age of 51 years (SD ± 15.0). A majority of respondents resided in the United States of America (51%), Australia (19%), and the United Kingdom (14%). Most carriers identified with feelings of guilt (70%), concern (91%), and anxiety (88%) for their child. Female carriers who had given birth to children had significantly greater gene therapy knowledge compared to carriers who had not (p < 0.05). Respondents agreed that their eyecare provider and general practitioner helped them understand their condition (63%), however, few carriers reported receiving psychological counselling (9%) or family planning advice (5%). Most respondents (78%) agreed that gene therapy should be available to carriers. This study emphasises the importance of providing appropriate counselling to female carriers and illustrates the motivation of many to participate in emerging treatment options, such as gene therapy.
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- 2024
4. Adaptive optics imaging in inherited retinal diseases: A scoping review of the clinical literature
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Britten-Jones, AC, Thai, L, Flanagan, JPM, Bedggood, PA, Edwards, TL, Metha, AB, Ayton, LN, Britten-Jones, AC, Thai, L, Flanagan, JPM, Bedggood, PA, Edwards, TL, Metha, AB, and Ayton, LN
- Abstract
Adaptive optics (AO) imaging enables direct, objective assessments of retinal cells. Applications of AO show great promise in advancing our understanding of the etiology of inherited retinal disease (IRDs) and discovering new imaging biomarkers. This scoping review systematically identifies and summarizes clinical studies evaluating AO imaging in IRDs. Ovid MEDLINE and EMBASE were searched on February 6, 2023. Studies describing AO imaging in monogenic IRDs were included. Study screening and data extraction were performed by 2 reviewers independently. This review presents (1) a broad overview of the dominant areas of research; (2) a summary of IRD characteristics revealed by AO imaging; and (3) a discussion of methodological considerations relating to AO imaging in IRDs. From 140 studies with AO outcomes, including 2 following subretinal gene therapy treatments, 75% included fewer than 10 participants with AO imaging data. Of 100 studies that included participants' genetic diagnoses, the most common IRD genes with AO outcomes are CNGA3, CNGB3, CHM, USH2A, and ABCA4. Confocal reflectance AO scanning laser ophthalmoscopy was the most reported imaging modality, followed by flood-illuminated AO and split-detector AO. The most common outcome was cone density, reported quantitatively in 56% of studies. Future research areas include guidelines to reduce variability in the reporting of AO methodology and a focus on functional AO techniques to guide the development of therapeutic interventions.
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- 2024
5. Optical coherence tomography in children with inherited retinal disease
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Jolly, JK, Rodda, BM, Edwards, TL, Ayton, LN, Ruddle, JB, Jolly, JK, Rodda, BM, Edwards, TL, Ayton, LN, and Ruddle, JB
- Abstract
Recent advances have led to therapeutic options becoming available for people with inherited retinal disease. In particular, gene therapy has been shown to hold great promise for slowing vision loss from inherited retinal disease. Recent studies suggest that gene therapy is likely to be most effective when implemented early in the disease process, making consideration of paediatric populations important. It is therefore necessary to have a comprehensive understanding of retinal imaging in children with inherited retinal diseases, in order to monitor disease progression and to determine which early retinal biomarkers may be used as outcome measures in future clinical trials. In addition, as many optometrists will review children with an inherited retinal disease, an understanding of the expected imaging outcomes can improve clinical care. This review focuses on the most common imaging modality used in research assessment of paediatric inherited retinal diseases: optical coherence tomography. Optical coherence tomography findings can be used in both the clinical and research setting. In particular, the review discusses current knowledge of optical coherence tomography findings in eight paediatric inherited retinal diseases - Stargardt disease, Bests disease, Leber's congenital amaurosis, choroideremia, RPGR related retinitis pigmentosa, Usher syndrome, X-linked retinoschisis and, Batten disease.
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- 2024
6. Gene and cell therapy for age-related macular degeneration: A review.
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Trincão-Marques, J, Ayton, LN, Hickey, DG, Marques-Neves, C, Guymer, RH, Edwards, TL, Sousa, DC, Trincão-Marques, J, Ayton, LN, Hickey, DG, Marques-Neves, C, Guymer, RH, Edwards, TL, and Sousa, DC
- Abstract
Age-related macular degeneration (AMD) is the most common cause of irreversible vision loss among the elderly in Western communities, with an estimated global prevalence of 10 - 20% in people older than 65 years. AMD leads to central vision loss due to degeneration of the photoreceptors, retinal pigment epithelium and the choriocapillaris. Beckman's classification for AMD, based upon color fundus photographs, divides the disease into early, intermediate, and late forms. The late, vision-threatening stage includes both neovascular AMD and geographic atrophy. Despite its high prevalence and impact on patients' quality of life, treatment options for AMD are limited. While neovascular AMD can be medically managed with anti-VEGF intravitreal injections, until very recently there has been no approved treatment options for atrophic AMD; however, in February 2023 the first treatment for geographic atrophy - pegcetacoplan - was approved by the US FDA. We describe the current landscape of potential gene and cell therapeutic strategies for late-stage AMD, with an emphasis on the therapeutic options that might become available in the next few years.
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- 2024
7. Patient experiences and perceived value of genetic testing in inherited retinal diseases: a cross-sectional survey
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Britten-Jones, AC, Schultz, J, Mack, HG, Kearns, LS, Huq, AJ, Ruddle, JB, Mackey, DA, Hewitt, AW, Edwards, TL, Ayton, LN, Britten-Jones, AC, Schultz, J, Mack, HG, Kearns, LS, Huq, AJ, Ruddle, JB, Mackey, DA, Hewitt, AW, Edwards, TL, and Ayton, LN
- Abstract
This study evaluated patient experiences with genetic testing for inherited retinal diseases (IRDs) and the association between underlying knowledge, testing outcomes, and the perceived value of the results. An online survey was distributed to adults with IRDs and parents/guardians of dependents with IRDs who had had genetic testing. Data included details of genetic testing, pre- and post- test perceptions, Decision Regret Scale, perceived value of results, and knowledge of gene therapy. Of 135 responses (85% from adults with IRDs), genetic testing was primarily conducted at no charge through public hospitals (49%) or in a research setting (30%). Key motivations for genetic testing were to confirm IRD diagnosis and to contribute towards research. Those who had received a genetic diagnosis (odds ratio: 6.71; p < 0.001) and those self-reported to have good knowledge of gene therapy (odds ratio: 2.69; p = 0.018) were more likely to have gained confidence in managing their clinical care. For over 80% of respondents, knowing the causative gene empowered them to learn more about their IRD and explore opportunities regarding clinical trials. Key genetic counselling information needs include resources for family communications, structured information provision, and ongoing genetic support, particularly in the context of emerging ocular therapies, to enhance consistency in information uptake.
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- 2024
8. A global survey of visual symptoms in female carriers of choroideremia and X-linked retinitis pigmentosa
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Gocuk, SA, Edwards, TL, Jolly, JK, Ayton, LN, Gocuk, SA, Edwards, TL, Jolly, JK, and Ayton, LN
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- 2024
9. Retinal Characteristics of Female Choroideremia Carriers: Multimodal Imaging, Microperimetry, and Genetics.
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Gocuk, SA, Edwards, TL, Jolly, JK, McGuinness, MB, MacLaren, RE, Chen, FK, Taylor, LJ, McLaren, TL, Lamey, TM, Thompson, JA, Ayton, LN, Gocuk, SA, Edwards, TL, Jolly, JK, McGuinness, MB, MacLaren, RE, Chen, FK, Taylor, LJ, McLaren, TL, Lamey, TM, Thompson, JA, and Ayton, LN
- Abstract
PURPOSE: To describe visual function and retinal features of female carriers of choroideremia (CHM), using multimodal imaging and microperimetry. DESIGN: Cross-sectional cohort study. PARTICIPANTS AND CONTROLS: Choroideremia carriers seen in Australia (Melbourne or Perth) or the United Kingdom (Oxford or Cambridge) between 2012 and 2023. Healthy age-matched controls seen in Melbourne, Australia, between 2022 and 2023. METHODS: Participants had visual acuity, fundus-tracked microperimetry, OCT, and fundus autofluorescence imaging performed. Choroideremia carriers were either genetically or clinically confirmed (i.e., obligate carriers). Choroideremia carriers were grouped according to their retinal phenotype and compared with healthy controls. Statistical analyses were performed on StataBE (v18.0). MAIN OUTCOME MEASURES: Best-corrected visual acuity (BCVA), low-luminance visual acuity (LLVA), average retinal sensitivity, volume of macular hill of vision (HoV), inner retinal thickness, and photoreceptor complex (PRC) thickness. RESULTS: Eighty-six eyes of 43 CHM carriers and 60 eyes of 30 healthy controls were examined using multimodal imaging and microperimetry. Median age was 54 and 48.5 years for CHM carriers and controls, respectively (P = 0.18). Most CHM carriers (86%) were genetically confirmed. Choroideremia carriers and controls had strong intereye correlation between eyes for BCVA and average retinal sensitivity (P < 0.001). Low-luminance visual acuity and macular HoV tests were sensitive tests to detect changes in CHM carriers with mild phenotypes (i.e., fine and coarse). Choroideremia carriers with geographic or male-pattern phenotypes had reduced BCVA, LLVA, retinal sensitivity, and retinal thinning, compared with healthy controls. Retinal thickening of the inner retina was observed in the central 1°, despite generalized thinning of the PRC in the central 7°, indicating retinal remodeling in CHM carriers, compared with controls. There were no genotype-phen
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- 2024
10. Computing the volume response of the Antarctic Peninsula ice sheet to warming scenarios to 2200
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Barrand, NE, Hindmarsh, RCA, Arthern, RJ, Williams, CR, Mouginot, J, Scheuchl, B, Rignot, E, Ligtenberg, SRM, Van Den Broeke, MR, Edwards, TL, Cook, AJ, and Simonsen, SB
- Subjects
Meteorology & Atmospheric Sciences ,Physical Geography and Environmental Geoscience - Abstract
The contribution to sea level to 2200 from the grounded, mainland Antarctic Peninsula ice sheet (APIS) was calculated using an ice-sheet model initialized with a new technique computing ice fluxes based on observed surface velocities, altimetry and surface mass balance, and computing volume response using a linearized method. Volume change estimates of the APIS resulting from surface massbalance anomalies calculated by the regional model RACMO2, forced by A1B and E1 scenarios of the global models ECHAM5 and HadCM3, predicted net negative sea-level contributions between -0.5 and -12mm sea-level equivalent (SLE) by 2200. Increased glacier flow due to ice thickening returned ~15% of the increased accumulation to the sea by 2100 and ~30% by 2200. The likely change in volume of the APIS by 2200 in response to imposed 10 and 20km retreats of the grounding line at individual large outlet glaciers in Palmer Land, southern Antarctic Peninsula, ranged between 0.5 and 3.5mm SLE per drainage basin. Ensemble calculations of APIS volume change resulting from imposed grounding-line retreat due to ice-shelf break-up scenarios applied to all 20 of the largest drainage basins in Palmer Land (covering ~40% of the total area of APIS) resulted in net sea-level contributions of 7-16mm SLE by 2100, and 10-25mm SLE by 2200. Inclusion of basins in the northern peninsula and realistic simulation of grounding-line movement for AP outlet glaciers will improve future projections.
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- 2013
11. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry
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Wiencke, John, Witte, John, Wrensch, Margaret, Monda, KL, Chen, GK, Taylor, KC, Palmer, C, Edwards, TL, Lange, LA, Ng, MCY, Adeyemo, AA, Allison, MA, and Bielak, LF
- Abstract
Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and
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- 2013
12. Female carriers of X-linked inherited retinal diseases-Genetics, diagnosis, and potential therapies
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Gocuk, SA, Jolly, JK, Edwards, TL, Ayton, LN, Gocuk, SA, Jolly, JK, Edwards, TL, and Ayton, LN
- Abstract
Inherited retinal diseases (IRDs) are a group of heterogeneous conditions that cause progressive vision loss, typically due to monogenic mutations. Female carriers of X-linked IRDs have a single copy of the disease-causing gene, and therefore, may exhibit variable clinical signs that vary from near normal retina to severe disease and vision loss. The relationships between individual genetic mutations and disease severity in X-linked carriers requires further study. This review summarises the current literature surrounding the spectrum of disease seen in female carriers of choroideremia and X-linked retinitis pigmentosa. Various classification systems are contrasted to accurately grade retinal disease. Furthermore, genetic mechanisms at the early embryonic stage are explored to potentially explain the variability of disease seen in female carriers. Future research in this area will provide insight into the association between genotype and retinal phenotypes of female carriers, which will guide in the management of these patients. This review acknowledges the importance of identifying which patients may be at high risk of developing severe symptoms, and therefore should be considered for emerging treatments, such as retinal gene therapy.
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- 2023
13. Survey of perspectives of people with inherited retinal diseases on ocular gene therapy in Australia
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Mack, HG, Britten-Jones, AC, McGuinness, MB, Chen, FK, Grigg, JR, Jamieson, RV, Edwards, TL, De Roach, J, O'Hare, F, Martin, KR, Ayton, LN, Mack, HG, Britten-Jones, AC, McGuinness, MB, Chen, FK, Grigg, JR, Jamieson, RV, Edwards, TL, De Roach, J, O'Hare, F, Martin, KR, and Ayton, LN
- Abstract
Many gene therapies are in development for treating people with inherited retinal diseases (IRD). We hypothesized that potential recipients of gene therapy would have knowledge gaps regarding treatment. We aimed to assess knowledge, attitudes, and perceptions of genetic therapies among potential recipients with IRD, using a novel instrument we designed (Attitudes to Gene Therapy-Eye (AGT-Eye)) and their associations with demographic data, self-reported visual status, and tools assessing quality of life and attitudes toward clinical trials using a community-based cross-sectional survey of Australian adults with IRD. AGT-Eye, overall quality of life EQ-5D-5L, National Eye Institute Visual Functioning Questionnaire (NEI-VFQ-25) and Patient Attitudes to Clinical Trials (PACT-22) instruments were administered. Six hundred and eighty-one people completed the study, 51.7% women of mean age 53.5 years (SD ± 15.8). Most participants (91.6%) indicated they would likely accept gene therapy if it was available to them or family members. However, only 28.3% agreed that they had good knowledge of gene therapy. Most obtained information about gene therapy from the internet (49.3%). Respondents with post-graduate degrees scored highest compared to other educational levels on methods (p < 0.001) and outcomes (p = 0.003) and were more likely to see economic value of treatment (p = 0.043). Knowledge gaps were present regarding methods and outcomes of gene therapy. This survey has shown high level of interest in the IRD community for gene therapies, and highlights areas for improved clinician and patient education.
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- 2023
14. The Diagnostic Yield of Next Generation Sequencing in Inherited Retinal Diseases: A Systematic Review and Meta-analysis
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Britten-jones, AC, Gocuk, SA, Goh, KL, Huq, A, Edwards, TL, Ayton, LN, Britten-jones, AC, Gocuk, SA, Goh, KL, Huq, A, Edwards, TL, and Ayton, LN
- Abstract
PURPOSE: Accurate genotyping of individuals with inherited retinal diseases (IRD) is essential for patient management and identifying suitable candidates for gene therapies. This study evaluated the diagnostic yield of next generation sequencing (NGS) in IRDs. DESIGN: Systematic review and meta-analysis. METHODS: This systematic review was prospectively registered (CRD42021293619). Ovid MEDLINE and Ovid Embase were searched on 6 June 2022. Clinical studies evaluating the diagnostic yield of NGS in individuals with IRDs were eligible for inclusion. Risk of bias assessment was performed. Studies were pooled using a random...effects inverse variance model. Sources of heterogeneity were explored using stratified analysis, meta-regression, and sensitivity analysis. RESULTS: This study included 105 publications from 28 countries. Most studies (90 studies) used targeted gene panels. The diagnostic yield of NGS was 61.3% (95% confidence interval: 57.8-64.7%; 51 studies) in mixed IRD phenotypes, 58.2% (51.6-64.6%; 41 studies) in rod-cone dystrophies, 57.7% (46.8-68.3%; eight studies) in macular and cone/cone-rod dystrophies, and 47.6% (95% CI: 41.0-54.3%; four studies) in familial exudative vitreoretinopathy. For mixed IRD phenotypes, a higher diagnostic yield was achieved pooling studies published between 2018-2022 (64.2% [59.5-68.7%]), studies using exome sequencing (73.5% [58.9-86.1%]), and studies using the American College of Medical Genetics variant interpretation standards (65.6% [60.8-70.4%]). CONCLUSION: The current diagnostic yield of NGS in IRDs is between 52-74%. The certainty of the evidence was judged as low or very low. A key limitation of the current evidence is the significant heterogeneity between studies. Adoption of standardized reporting guidelines could improve confidence in future meta-analyses.
- Published
- 2023
15. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.
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Wang, A, Shen, J, Rodriguez, AA, Saunders, EJ, Chen, F, Janivara, R, Darst, BF, Sheng, X, Xu, Y, Chou, AJ, Benlloch, S, Dadaev, T, Brook, MN, Plym, A, Sahimi, A, Hoffman, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Laisk, T, Figuerêdo, J, Muir, K, Ito, S, Liu, X, Biobank Japan Project, Uchio, Y, Kubo, M, Kamatani, Y, Lophatananon, A, Wan, P, Andrews, C, Lori, A, Choudhury, PP, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Rentsch, CT, Cho, K, Mcmahon, BH, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, A, Stroomberg, HV, Batra, J, Chambers, S, Horvath, L, Clements, JA, Tilly, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordstrom, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, S, Cook, MB, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Koutros, S, Beane Freeman, LE, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Butler, EN, Mohler, JL, Taylor, JA, Kogevinas, M, Dierssen-Sotos, T, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Pilie, P, Yu, Y, Bohlender, RJ, Gu, J, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Brenner, H, Chen, X, Holleczek, B, Schöttker, B, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, CM, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Abraham, A, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, J, Petrovics, G, Casey, G, Wang, Y, Tettey, Y, Lachance, J, Tang, W, Biritwum, RB, Adjei, AA, Tay, E, Truelove, A, Niwa, S, Yamoah, K, Govindasami, K, Chokkalingam, AP, Keaton, JM, Hellwege, JN, Clark, PE, Jalloh, M, Gueye, SM, Niang, L, Ogunbiyi, O, Shittu, O, Amodu, O, Adebiyi, AO, Aisuodionoe-Shadrach, OI, Ajibola, HO, Jamda, MA, Oluwole, OP, Nwegbu, M, Adusei, B, Mante, S, Darkwa-Abrahams, A, Diop, H, Gundell, SM, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Kachuri, L, Varma, R, McKean-Cowdin, R, Torres, M, Preuss, MH, Loos, RJF, Zawistowski, M, Zöllner, S, Lu, Z, Van Den Eeden, SK, Easton, DF, Ambs, S, Edwards, TL, Mägi, R, Rebbeck, TR, Fritsche, L, Chanock, SJ, Berndt, SI, Wiklund, F, Nakagawa, H, Witte, JS, Gaziano, JM, Justice, AC, Mancuso, N, Terao, C, Eeles, RA, Kote-Jarai, Z, Madduri, RK, Conti, DV, Haiman, CA, Wang, A, Shen, J, Rodriguez, AA, Saunders, EJ, Chen, F, Janivara, R, Darst, BF, Sheng, X, Xu, Y, Chou, AJ, Benlloch, S, Dadaev, T, Brook, MN, Plym, A, Sahimi, A, Hoffman, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Laisk, T, Figuerêdo, J, Muir, K, Ito, S, Liu, X, Biobank Japan Project, Uchio, Y, Kubo, M, Kamatani, Y, Lophatananon, A, Wan, P, Andrews, C, Lori, A, Choudhury, PP, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Rentsch, CT, Cho, K, Mcmahon, BH, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, A, Stroomberg, HV, Batra, J, Chambers, S, Horvath, L, Clements, JA, Tilly, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordstrom, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, S, Cook, MB, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Koutros, S, Beane Freeman, LE, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Butler, EN, Mohler, JL, Taylor, JA, Kogevinas, M, Dierssen-Sotos, T, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Pilie, P, Yu, Y, Bohlender, RJ, Gu, J, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Brenner, H, Chen, X, Holleczek, B, Schöttker, B, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, CM, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Abraham, A, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, J, Petrovics, G, Casey, G, Wang, Y, Tettey, Y, Lachance, J, Tang, W, Biritwum, RB, Adjei, AA, Tay, E, Truelove, A, Niwa, S, Yamoah, K, Govindasami, K, Chokkalingam, AP, Keaton, JM, Hellwege, JN, Clark, PE, Jalloh, M, Gueye, SM, Niang, L, Ogunbiyi, O, Shittu, O, Amodu, O, Adebiyi, AO, Aisuodionoe-Shadrach, OI, Ajibola, HO, Jamda, MA, Oluwole, OP, Nwegbu, M, Adusei, B, Mante, S, Darkwa-Abrahams, A, Diop, H, Gundell, SM, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Kachuri, L, Varma, R, McKean-Cowdin, R, Torres, M, Preuss, MH, Loos, RJF, Zawistowski, M, Zöllner, S, Lu, Z, Van Den Eeden, SK, Easton, DF, Ambs, S, Edwards, TL, Mägi, R, Rebbeck, TR, Fritsche, L, Chanock, SJ, Berndt, SI, Wiklund, F, Nakagawa, H, Witte, JS, Gaziano, JM, Justice, AC, Mancuso, N, Terao, C, Eeles, RA, Kote-Jarai, Z, Madduri, RK, Conti, DV, and Haiman, CA
- Abstract
The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.
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- 2023
16. The association of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio with retinal vein occlusion: a systematic review and meta-analysis
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Liu, Z, Perry, LA, Penny-Dimri, JC, Raveendran, D, Hu, ML, Arslan, J, Britten-Jones, AC, O'Hare, F, Ayton, LN, Edwards, TL, Liu, Z, Perry, LA, Penny-Dimri, JC, Raveendran, D, Hu, ML, Arslan, J, Britten-Jones, AC, O'Hare, F, Ayton, LN, and Edwards, TL
- Abstract
The neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) are emerging haematological inflammatory biomarkers. However, their significance in retinal vein occlusion (RVO) and its subtypes, branch and central RVO (BRVO and CRVO, respectively), is uncertain. This systematic review and meta-analysis aimed to clarify the association of NLR and PLR with RVO. We searched MEDLINE (Ovid), EMBASE (Ovid) and the Cochrane Library for studies investigating the association of NLR and PLR with RVO from inception to 2 December 2020. We used random-effects inverse-variance modelling to generate pooled effect measures. We used bivariate Bayesian modelling to meta-analyse the ability of NLR and PLR to differ between individuals with and without RVO and performed meta-regression and sensitivity analyses to explore inter-study heterogeneity. Eight studies published encompassing 1059 patients were included for analysis. Both NLR and PLR were significantly elevated in RVO, with pooled mean differences of 0.63 (95% confidence interval (CI) 0.31-0.95) and 21.49 (95% CI 10.03-32.95), respectively. The pooled sensitivity, specificity and area under the Bayesian summary receiver operating characteristic curve were, respectively, 0.629 (95% credible interval (CrI) 0.284-0.872), 0.731 (95% CrI 0.373-0.934) and 0.688 (95% CrI 0.358-0.872) for NLR; and 0.645 (95% CrI 0.456-0.779), 0.616 (95% CrI 0.428-0.761) and 0.621 (95% CrI 0.452-0.741) for PLR. Mean and variability of age and diabetes mellitus prevalence partially explained between-study heterogeneity. NLR and PLR are significantly elevated in RVO. Future research is needed to investigate the potential prognostic value and independence of these findings.
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- 2022
17. AAV2-mediated gene therapy for Bietti crystalline dystrophy provides functional CYP4V2 in multiple relevant cell models
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Wang, J-H, Lidgerwood, GE, Daniszewski, M, Hu, ML, Roberts, GE, Wong, RCB, Hung, SSC, McClements, ME, Hewitt, AW, Pebay, A, Hickey, DG, Edwards, TL, Wang, J-H, Lidgerwood, GE, Daniszewski, M, Hu, ML, Roberts, GE, Wong, RCB, Hung, SSC, McClements, ME, Hewitt, AW, Pebay, A, Hickey, DG, and Edwards, TL
- Abstract
Bietti crystalline dystrophy (BCD) is an inherited retinal disease (IRD) caused by mutations in the CYP4V2 gene. It is a relatively common cause of IRD in east Asia. A number of features of this disease make it highly amenable to gene supplementation therapy. This study aims to validate a series of essential precursor in vitro experiments prior to developing a clinical gene therapy for BCD. We demonstrated that HEK293, ARPE19, and patient induced pluripotent stem cell (iPSC)-derived RPE cells transduced with AAV2 vectors encoding codon optimization of CYP4V2 (AAV2.coCYP4V2) resulted in elevated protein expression levels of CYP4V2 compared to those transduced with AAV2 vectors encoding wild type CYP4V2 (AAV2.wtCYP4V2), as assessed by immunocytochemistry and western blot. Similarly, we observed significantly increased CYP4V2 enzyme activity in cells transduced with AAV2.coCYP4V2 compared to those transduced with AAV2.wtCYP4V2. We also showed CYP4V2 expression in human RPE/choroid explants transduced with AAV2.coCYP4V2 compared to those transduced with AAV2.wtCYP4V2. These preclinical data support the further development of a gene supplementation therapy for a currently untreatable blinding condition-BCD. Codon-optimized CYP4V2 transgene was superior to wild type in terms of protein expression and enzyme activity. Ex vivo culture of human RPE cells provided an effective approach to test AAV-mediated transgene delivery.
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- 2022
18. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses
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Gaziano, L, Sun, L, Arnold, M, Bell, S, Cho, K, Kaptoge, SK, Song, RJ, Burgess, S, Posner, DC, Mosconi, K, Cohen, CR, Mason, AM, Bolton, TR, Tao, R, Allara, E, Schubert, P, Chen, L, Staley, JR, Staplin, N, Altay, S, Amiano, P, Arndt, PV, Arnlov, J, Barr, ELM, Bjorkelund, C, Boer, JMA, Brenner, H, Casiglia, E, Chiodini, P, Cooper, JA, Coresh, J, Cushman, M, Dankner, R, Davidson, KW, de Jongh, RT, Donfrancesco, C, Engstrom, G, Freisling, H, de la Camara, AG, Gudnason, V, Hankey, GJ, Hansson, P, Heath, AK, Hoorn, EJ, Imano, H, Jassal, SK, Kaaks, R, Katzke, V, Kauhanen, J, Kiechl, S, Koenig, W, Kronmal, RA, Kyro, C, Lawlor, DA, Ljungberg, B, MacDonald, C, Masala, G, Meisinger, C, Melander, O, Iribas, CM, Ninomiya, T, Nitsch, D, Nordestgaard, BG, OnlandMoret, C, Palmieri, L, Petrova, D, Garcia, JRQ, Rosengren, A, Sacerdote, C, Sakurai, M, Santiuste, C, Schulze, MB, Sieri, S, Sundstrom, J, Tikhonoff, V, Tjonneland, A, Tong, T, Tumino, R, Tzoulaki, I, van der Schouw, YT, Verschuren, WMM, Volzke, H, Wallace, RB, Wannamethee, SG, Weiderpass, E, Willeit, P, Woodward, M, Yamagishi, K, ZamoraRos, R, Akwo, EA, Pyarajan, S, Gagnon, DR, Tsao, PS, Muralidhar, S, Edwards, TL, Damrauer, SM, Joseph, J, Pennells, L, Wilson, PWF, Harrison, S, Gaziano, TA, Inouye, M, Baigent, C, Casas, JP, Langenberg, C, Wareham, N, Riboli, E, Gaziano, JM, Danesh, J, Hung, AM, Butterworth, AS, Wood, AM, Di Angelantonio, E, Gaziano, L, Sun, L, Arnold, M, Bell, S, Cho, K, Kaptoge, SK, Song, RJ, Burgess, S, Posner, DC, Mosconi, K, Cohen, CR, Mason, AM, Bolton, TR, Tao, R, Allara, E, Schubert, P, Chen, L, Staley, JR, Staplin, N, Altay, S, Amiano, P, Arndt, PV, Arnlov, J, Barr, ELM, Bjorkelund, C, Boer, JMA, Brenner, H, Casiglia, E, Chiodini, P, Cooper, JA, Coresh, J, Cushman, M, Dankner, R, Davidson, KW, de Jongh, RT, Donfrancesco, C, Engstrom, G, Freisling, H, de la Camara, AG, Gudnason, V, Hankey, GJ, Hansson, P, Heath, AK, Hoorn, EJ, Imano, H, Jassal, SK, Kaaks, R, Katzke, V, Kauhanen, J, Kiechl, S, Koenig, W, Kronmal, RA, Kyro, C, Lawlor, DA, Ljungberg, B, MacDonald, C, Masala, G, Meisinger, C, Melander, O, Iribas, CM, Ninomiya, T, Nitsch, D, Nordestgaard, BG, OnlandMoret, C, Palmieri, L, Petrova, D, Garcia, JRQ, Rosengren, A, Sacerdote, C, Sakurai, M, Santiuste, C, Schulze, MB, Sieri, S, Sundstrom, J, Tikhonoff, V, Tjonneland, A, Tong, T, Tumino, R, Tzoulaki, I, van der Schouw, YT, Verschuren, WMM, Volzke, H, Wallace, RB, Wannamethee, SG, Weiderpass, E, Willeit, P, Woodward, M, Yamagishi, K, ZamoraRos, R, Akwo, EA, Pyarajan, S, Gagnon, DR, Tsao, PS, Muralidhar, S, Edwards, TL, Damrauer, SM, Joseph, J, Pennells, L, Wilson, PWF, Harrison, S, Gaziano, TA, Inouye, M, Baigent, C, Casas, JP, Langenberg, C, Wareham, N, Riboli, E, Gaziano, JM, Danesh, J, Hung, AM, Butterworth, AS, Wood, AM, and Di Angelantonio, E
- Abstract
BACKGROUND: End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. METHODS: Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. RESULTS: There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values <60 or >105 mL·min-1·1.73 m-2, compared with those with eGFR between 60 and 105 mL·min-1·1.73 m-2. Mendelian randomization analyses for CHD showed an association among participants with eGFR <60 mL·min-1·1.73 m-2, with a 14% (95% CI, 3%-27%) higher CHD risk per 5 mL·min-1·1.73 m-2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min-1·1.73 m-2. Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. CONCLUSIONS: In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches th
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- 2022
19. Victorian evolution of inherited retinal diseases natural history registry (VENTURE study): Rationale, methodology and initial participant characteristics
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Britten-Jones, AC, O'Hare, F, Edwards, TL, Ayton, LN, Britten-Jones, AC, O'Hare, F, Edwards, TL, and Ayton, LN
- Abstract
BACKGROUND: Emerging treatments are being developed for inherited retinal diseases, requiring a clear understanding of natural progression and a database of potential participants for clinical trials. This article describes the rationale, study design and methodology of the Victorian Evolution of inherited retinal diseases NaTUral history REgistry (VENTURE), including data from the first 150 participants enrolled. METHODS: VENTURE collects retrospective and prospective data from people with inherited retinal diseases. Following registration, participants are asked to attend a baseline examination using a standardised protocol to confirm their inherited retinal disease diagnosis. Examination procedures include (i) retinal function, using visual acuity and perimetry; (ii) retinal structure, using multimodal imaging and (iii) patient-reported outcomes. Participants' molecular diagnoses are obtained from their clinical records or through targeted-panel genetic testing by an independent laboratory. Phenotype and genotype data are used to enrol participants into disease-specific longitudinal cohort sub-studies. RESULTS: From 7 July 2020 to 30 December 2021, VENTURE enrolled 150 registrants (138 families) and most (63%) have a rod-cone dystrophy phenotype. From 93 participants who have received a probable molecular diagnosis, the most common affected genes are RPGR (13% of all registrants), USH2A (10%), CYP4V2 (7%), ABCA4 (5%), and CHM (5%). Most participants have early to moderate vision impairment, with over half (55%) having visual acuities of better than 6/60 (20/200) at registration. CONCLUSIONS: The VENTURE study will complement existing patient registries and help drive inherited retinal disease research in Australia, facilitating access to research opportunities for individuals with inherited retinal diseases.
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- 2022
20. Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
- Author
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Surendran, P, Feofanova, EV, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, AV, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Velez Edwards, DR, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, De Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, I, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, YV, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, AI, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Davey Smith, G, Boer, RAD, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, MI, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, JI, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, Van der Harst, P, Van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, DI, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, and United Kingdom Research and Innovation
- Subjects
Genetics & Heredity ,Understanding Society Scientific Group ,Science & Technology ,business.industry ,Published Erratum ,Million Veteran Program ,MEDLINE ,Computational biology ,06 Biological Sciences ,Biology ,Blood pressure ,Text mining ,Meta-analysis ,EPIC-InterAct ,Genetics ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,business ,Life Sciences & Biomedicine ,EPIC-CVD ,11 Medical and Health Sciences ,LifeLines Cohort Study ,Developmental Biology - Abstract
In the version of this article originally published, the e-mail address of corresponding author Patricia B. Munroe was incorrect. The error has been corrected in the HTML and PDF versions of the article.
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- 2021
21. Vitrectomy as an Aerosol-Generating Procedure in the Time of COVID-19 The VAPOR Study
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Okada, M, Sousa, DC, Fabinyi, DCA, Hadoux, X, Edwards, TL, Brown, KD, Chiu, D, Dawkins, RCH, Allen, PJ, Yeoh, J, van Wijngaarden, P, Okada, M, Sousa, DC, Fabinyi, DCA, Hadoux, X, Edwards, TL, Brown, KD, Chiu, D, Dawkins, RCH, Allen, PJ, Yeoh, J, and van Wijngaarden, P
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- 2021
22. Comparative analysis of loop-mediated isothermal amplification (LAMP)-based assays for rapid detection of SARS-CoV-2 genes
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Urrutia-Cabrera, D, Liou, RH-C, Wang, J-H, Chan, J, Hung, SS-C, Hewitt, AW, Martin, KR, Edwards, TL, Kwan, P, Wong, RC-B, Urrutia-Cabrera, D, Liou, RH-C, Wang, J-H, Chan, J, Hung, SS-C, Hewitt, AW, Martin, KR, Edwards, TL, Kwan, P, and Wong, RC-B
- Abstract
The COVID-19 pandemic caused by SARS-CoV-2 has infected millions worldwide, therefore there is an urgent need to increase our diagnostic capacity to identify infected cases. Although RT-qPCR remains the gold standard for SARS-CoV-2 detection, this method requires specialised equipment in a diagnostic laboratory and has a long turn-around time to process the samples. To address this, several groups have recently reported the development of loop-mediated isothermal amplification (LAMP) as a simple, low cost and rapid method for SARS-CoV-2 detection. Herein we present a comparative analysis of three LAMP-based assays that target different regions of the SARS-CoV-2: ORF1ab RdRP, ORF1ab nsp3 and Gene N. We perform a detailed assessment of their sensitivity, kinetics and false positive rates for SARS-CoV-2 diagnostics in LAMP or RT-LAMP reactions, using colorimetric or fluorescent detection. Our results independently validate that all three assays can detect SARS-CoV-2 in 30 min, with robust accuracy at detecting as little as 1000 RNA copies and the results can be visualised simply by color changes. Incorporation of RT-LAMP with fluorescent detection further increases the detection sensitivity to as little as 100 RNA copies. We also note the shortcomings of some LAMP-based assays, including variable results with shorter reaction time or lower load of SARS-CoV-2, and false positive results in some experimental conditions and clinical saliva samples. Overall for RT-LAMP detection, the ORF1ab RdRP and ORF1ab nsp3 assays have faster kinetics for detection but varying degrees of false positives detection, whereas the Gene N assay exhibits no false positives in 30 min reaction time, which highlights the importance of optimal primer design to minimise false-positives in RT-LAMP. This study provides validation of the performance of LAMP-based assays as a rapid, highly sensitive detection method for SARS-CoV-2, which have important implications in development of point-of-care diag
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- 2021
23. Neuronal Reprogramming for Tissue Repair and Neuroregeneration
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Liou, RH-C, Edwards, TL, Martin, KR, Wong, RC-B, Liou, RH-C, Edwards, TL, Martin, KR, and Wong, RC-B
- Abstract
Stem cell and cell reprogramming technology represent a rapidly growing field in regenerative medicine. A number of novel neural reprogramming methods have been established, using pluripotent stem cells (PSCs) or direct reprogramming, to efficiently derive specific neuronal cell types for therapeutic applications. Both in vitro and in vivo cellular reprogramming provide diverse therapeutic pathways for modeling neurological diseases and injury repair. In particular, the retina has emerged as a promising target for clinical application of regenerative medicine. Herein, we review the potential of neuronal reprogramming to develop regenerative strategy, with a particular focus on treating retinal degenerative diseases and discuss future directions and challenges in the field.
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- 2020
24. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
- Author
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Surendran, P, Feofanova, E, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, A, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Edwards, DRV, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, de Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, T, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, Y, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, A, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Smith, GD, de Boer, RA, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, M, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, J, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, van der Harst, P, van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, D, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, Surendran, P, Feofanova, E, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, A, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Edwards, DRV, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, de Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, T, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, Y, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, A, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Smith, GD, de Boer, RA, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, M, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, J, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, van der Harst, P, van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, D, Levy, D, Newton-Cheh, C, Munroe, PB, and Howson, JMM
- Abstract
Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10-8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets.
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- 2020
25. Highest reported visual acuity after electronic retinal implantation
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Kapetanovic, JC, Troelenberg, N, Edwards, TL, Xue, K, Ramsden, JD, Stett, A, Zrenner, E, MacLaren, RE, Kapetanovic, JC, Troelenberg, N, Edwards, TL, Xue, K, Ramsden, JD, Stett, A, Zrenner, E, and MacLaren, RE
- Abstract
PURPOSE: To report the highest attained visual acuity with an electronic retinal implant for the treatment of advanced retinal degeneration following a novel intensive period of visual training. METHODS: A case study as part of the prospective, international, multi-centre, interventional clinical trial (ClinicalTrials.gov NCT02720640 and NCT01024803) of patients with the Retina Implant Alpha AMS (Retina Implant AG, Reutlingen, Germany) for advanced retinal degeneration. A patient with subretinal device implanted into worse-seeing eye with no useful perception of light vision secondary to USH2A retinal degeneration underwent intensive period of visual training. RESULTS: The device remains functional with no safety concerns at 3 years postsurgical implantation, and following visual training, the patient achieved the highest visual acuity so far with an electronic retinal device, with real, digitally unenhanced, reading vision of 0.04 decimal (equivalent to 1.39 LogMAR and 20/500 or 6/150 Snellen). In addition, perception as well as partial identification of obstacles and evaluation of distances was possible in both daylight and night-time settings. CONCLUSIONS: Retinal implants are currently the only available therapy option for advanced retinal degeneration. Visual rehabilitation postimplantation has potential to maximize visual percepts. The novel concept of intensive visual training presented herein shows what is achievable with electronic retinal implants and has implications for other therapeutic options, such as optogenetics, that aim to stimulate remaining inner retinal cells in advanced retinal degeneration.
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- 2020
26. The genetic and clinical landscape of nanophthalmos and posterior microphthalmos in an Australian cohort
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Siggs, OM, Awadalla, MS, Souzeau, E, Staffieri, SE, Kearns, LS, Laurie, K, Kuot, A, Qassim, A, Edwards, TL, Coote, MA, Mancel, E, Walland, MJ, Dondey, J, Galanopoulous, A, Casson, RJ, Mills, RA, MacArthur, DG, Ruddle, JB, Burdon, KP, Craig, JE, Siggs, OM, Awadalla, MS, Souzeau, E, Staffieri, SE, Kearns, LS, Laurie, K, Kuot, A, Qassim, A, Edwards, TL, Coote, MA, Mancel, E, Walland, MJ, Dondey, J, Galanopoulous, A, Casson, RJ, Mills, RA, MacArthur, DG, Ruddle, JB, Burdon, KP, and Craig, JE
- Abstract
Nanophthalmos and posterior microphthalmos are ocular abnormalities in which both eyes are abnormally small, and typically associated with extreme hyperopia. We recruited 40 individuals from 13 kindreds with nanophthalmos or posterior microphthalmos, with 12 probands subjected to exome sequencing. Nine probands (69.2%) were assigned a genetic diagnosis, with variants in MYRF, TMEM98, MFRP, and PRSS56. Two of four PRSS56 families harbored the previously described c.1066dupC variant implicated in over half of all reported PRSS56 kindreds, with different surrounding haplotypes in each family suggesting a mutational hotspot. Individuals with a genetic diagnosis had shorter mean axial lengths and higher hyperopia than those without, with recessive forms associated with the most extreme phenotypes. These findings detail the genetic architecture of nanophthalmos and posterior microphthalmos in a cohort of predominantly European ancestry, their relative clinical phenotypes, and highlight the shared genetic architecture of rare and common disorders of refractive error.
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- 2020
27. Evaluation of vitamin D biosynthesis and pathway target genes reveals UGT2A1/2 and EGFR polymorphisms associated with epithelial ovarian cancer in African American Women
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Grant, DJ, Manichaikul, A, Alberg, AJ, Bandera, E, Barnholtz-Sloan, J, Bondy, M, Cote, ML, Funkhouser, E, Moorman, PG, Peres, LC, Peters, ES, Schwartz, AG, Terry, PD, Wang, X-Q, Keku, TO, Hoyo, C, Berchuck, A, Sandler, DP, Taylor, JA, O'Brien, KM, Edwards, DRV, Edwards, TL, Beeghly-Fadiel, A, Wentzensen, N, Pearce, CL, Wu, AH, Whittemore, AS, McGuire, V, Sieh, W, Rothstein, JH, Modugno, F, Ness, R, Moysich, K, Rossing, MA, Doherty, JA, Sellers, TA, Permuth-Way, JB, Monteiro, AN, Levine, DA, Setiawan, VW, Haiman, CA, LeMarchand, L, Wilkens, LR, Karlan, BY, Menon, U, Ramus, S, Gayther, S, Gentry-Maharaj, A, Terry, KL, Cramer, DW, Goode, EL, Larson, MC, Kaufmann, SH, Cannioto, R, Odunsi, K, Etter, JL, Huang, R-Y, Bernardini, MQ, Tone, AA, May, T, Goodman, MT, Thompson, PJ, Carney, ME, Tworoger, SS, Poole, EM, Lambrechts, D, Vergote, I, Vanderstichele, A, Van Nieuwenhuysen, E, Anton-Culver, H, Ziogas, A, Brenton, JD, Bjorge, L, Salvensen, HB, Kiemeney, LA, Massuger, LFAG, Pejovic, T, Bruegl, A, Moffitt, M, Cook, L, Le, ND, Brooks-Wilson, A, Kelemen, LE, Pharoah, PDP, Song, H, Campbell, I, Eccles, D, DeFazio, A, Kennedy, CJ, Schildkraut, JM, Grant, DJ, Manichaikul, A, Alberg, AJ, Bandera, E, Barnholtz-Sloan, J, Bondy, M, Cote, ML, Funkhouser, E, Moorman, PG, Peres, LC, Peters, ES, Schwartz, AG, Terry, PD, Wang, X-Q, Keku, TO, Hoyo, C, Berchuck, A, Sandler, DP, Taylor, JA, O'Brien, KM, Edwards, DRV, Edwards, TL, Beeghly-Fadiel, A, Wentzensen, N, Pearce, CL, Wu, AH, Whittemore, AS, McGuire, V, Sieh, W, Rothstein, JH, Modugno, F, Ness, R, Moysich, K, Rossing, MA, Doherty, JA, Sellers, TA, Permuth-Way, JB, Monteiro, AN, Levine, DA, Setiawan, VW, Haiman, CA, LeMarchand, L, Wilkens, LR, Karlan, BY, Menon, U, Ramus, S, Gayther, S, Gentry-Maharaj, A, Terry, KL, Cramer, DW, Goode, EL, Larson, MC, Kaufmann, SH, Cannioto, R, Odunsi, K, Etter, JL, Huang, R-Y, Bernardini, MQ, Tone, AA, May, T, Goodman, MT, Thompson, PJ, Carney, ME, Tworoger, SS, Poole, EM, Lambrechts, D, Vergote, I, Vanderstichele, A, Van Nieuwenhuysen, E, Anton-Culver, H, Ziogas, A, Brenton, JD, Bjorge, L, Salvensen, HB, Kiemeney, LA, Massuger, LFAG, Pejovic, T, Bruegl, A, Moffitt, M, Cook, L, Le, ND, Brooks-Wilson, A, Kelemen, LE, Pharoah, PDP, Song, H, Campbell, I, Eccles, D, DeFazio, A, Kennedy, CJ, and Schildkraut, JM
- Abstract
An association between genetic variants in the vitamin D receptor (VDR) gene and epithelial ovarian cancer (EOC) was previously reported in women of African ancestry (AA). We sought to examine associations between genetic variants in VDR and additional genes from vitamin D biosynthesis and pathway targets (EGFR, UGT1A, UGT2A1/2, UGT2B, CYP3A4/5, CYP2R1, CYP27B1, CYP24A1, CYP11A1, and GC). Genotyping was performed using the custom-designed 533,631 SNP Illumina OncoArray with imputation to the 1,000 Genomes Phase 3 v5 reference set in 755 EOC cases, including 537 high-grade serous (HGSOC), and 1,235 controls. All subjects are of African ancestry (AA). Logistic regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI). We further evaluated statistical significance of selected SNPs using the Bayesian False Discovery Probability (BFDP). A significant association with EOC was identified in the UGT2A1/2 region for the SNP rs10017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 1.2 × 10-6 , BFDP = 0.02); and an association with HGSOC was identified in the EGFR region for the SNP rs114972508 (per allele OR = 2.3, 95% CI = 1.6-3.4, P = 1.6 × 10-5 , BFDP = 0.29) and in the UGT2A1/2 region again for rs1017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 2.3 × 10-5 , BFDP = 0.23). Genetic variants in the EGFR and UGT2A1/2 may increase susceptibility of EOC in AA women. Future studies to validate these findings are warranted. Alterations in EGFR and UGT2A1/2 could perturb enzyme efficacy, proliferation in ovaries, impact and mark susceptibility to EOC.
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- 2019
28. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)
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Evangelou, E, Warren, HR, Mosen-Ansorena, D, Mifsud, B, Pazoki, R, Gao, H, Ntritsos, G, Dimou, N, Cabrera, CP, Karaman, I, Fu, LN, Evangelou, M, Witkowska, K, Tzanis, E, Hellwege, JN, Giri, A, Edwards, DRV, Sun, YV, Cho, K, Gaziano, JM, Wilson, PWF, Tsao, PS, Kovesdy, CP, Esko, T, Magi, R, Milani, L, Almgren, P, Boutin, T, Debette, S, Ding, J, Giulianini, F, Holliday, EG, Jackson, AU, Li-Gao, R, Lin, W-Y, Luan, J, Mangino, M, Oldmeadow, C, Prins, BP, Qian, Y, Sargurupremraj, M, Shah, N, Surendran, P, Theriault, S, Verweij, N, Willems, SM, Zhao, J-H, Amouyel, P, Connell, J, De Mutsert, R, Doney, ASF, Farrall, M, Menni, C, Morris, AD, Noordam, R, Pare, G, Poulter, NR, Shields, DC, Stanton, A, Thom, S, Abecasis, G, Amin, N, Arking, DE, Ayers, KL, Barbieri, CM, Batini, C, Bis, JC, Blake, T, Bochud, M, Boehnke, M, Boerwinkle, E, Boomsma, DI, Bottinger, EP, Braund, PS, Brumat, M, Campbell, A, Campbell, H, Chakravarti, A, Chambers, JC, Chauhan, G, Ciullo, M, Cocca, M, Collins, F, Cordell, HJ, Davies, G, De Borst, MH, De Geus, EJ, Deary, IJ, Deelen, J, Del Greco, FM, Demirkale, CY, Dorr, M, Ehret, GB, Elosua, R, Enroth, S, Erzurumluoglu, AM, Ferreira, T, Franberg, M, Franco, OH, Gandin, I, Gasparini, P, Giedraitis, V, Gieger, C, Girotto, G, Goel, A, Gow, AJ, Gudnason, V, Guo, X, Gyllensten, U, Hamsten, A, Harris, TB, Harris, SE, Hartman, CA, Havulinna, AS, Hicks, AA, Hofer, E, Hofman, A, Hottenga, J-J, Huffman, JE, Hwang, S-J, Ingelsson, E, James, A, Jansen, R, Jarvelin, M-R, Joehanes, R, Johansson, A, Johnson, AD, Joshi, PK, Jousilahti, P, Jukema, JW, Jula, A, Kahonen, M, Kathiresan, S, Keavney, BD, Khaw, K-T, Knekt, P, Knight, J, Kolcic, I, Kooner, JS, Koskinen, S, Kristiansson, K, Kutalik, Z, Laan, M, Larson, M, Launer, LJ, Lehne, B, Lehtimaki, T, Liewald, DCM, Lin, L, Lind, L, Lindgren, CM, Liu, Y, Loos, RJF, Lopez, LM, Lu, Y, Lyytikainen, L-P, Mahajan, A, Mamasoula, C, Marrugat, J, Marten, J, Milaneschi, Y, Morgan, A, Morris, AP, Morrison, AC, Munson, PJ, Nalls, MA, Nandakumar, P, Nelson, CP, Niiranen, T, Nolte, IM, Nutile, T, Oldehinkel, AJ, Oostra, BA, O'Reilly, PF, Org, E, Padmanabhan, S, Palmas, W, Palotie, A, Pattie, A, Penninx, BWJH, Perola, M, Peters, A, Polasek, O, Pramstaller, PP, Quang, TN, Raitakari, OT, Ren, M, Rettig, R, Rice, K, Ridker, PM, Ried, JS, Riese, H, Ripatti, S, Robino, A, Rose, LM, Rotter, JI, Rudan, I, Ruggiero, D, Saba, Y, Sala, CF, Salomaa, V, Samani, NJ, Sarin, A-P, Schmidt, R, Schmidt, H, Shrine, N, Siscovick, D, Smith, AV, Snieder, H, Sober, S, Sorice, R, Starr, JM, Stott, DJ, Strachan, DP, Strawbridge, RJ, Sundstrom, J, Swertz, MA, Taylor, KD, Teumer, A, Tobin, MD, Tomaszewski, M, Toniolo, D, Traglia, M, Trompet, S, Tuomilehto, J, Tzourio, C, Uitterlinden, AG, Vaez, A, Van der Most, PJ, Van Duijn, CM, Vergnaud, A-C, Verwoert, GC, Vitart, V, Volker, U, Vollenweider, P, Vuckovic, D, Watkins, H, Wild, SH, Willemsen, G, Wilson, JF, Wright, AF, Yao, J, Zemunik, T, Zhang, W, Attia, JR, Butterworth, AS, Chasman, DI, Conen, D, Cucca, F, Danesh, J, Hayward, C, Howson, JMM, Laakso, M, Lakatta, EG, Langenberg, C, Melander, O, Mook-Kanamori, DO, Palmer, CNA, Risch, L, Scott, RA, Scott, RJ, Sever, P, Spector, TD, Van der Harst, P, Wareham, NJ, Zeggini, E, Levy, D, Munroe, PB, Newton-Cheh, C, Brown, MJ, Metspalu, A, Hung, AM, O'Donnell, CJ, Edwards, TL, Psaty, BM, Tzoulaki, I, Barnes, MR, Wain, LV, Elliott, P, and Caulfield, MJ
- Subjects
Genetics & Heredity ,Science & Technology ,Million Veteran Program ,06 Biological Sciences ,Life Sciences & Biomedicine ,11 Medical and Health Sciences ,Developmental Biology - Abstract
Correction to: Nature Genetics https://doi.org/10.1038/s41588-018-0205-x, published online 17 September 2018.
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- 2018
29. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2018)
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Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS, Bradfield, JP, Esko, T, Giri, A, Graff, M, Guo, X, Hendricks, AE, Karaderi, T, Lempradl, A, Locke, AE, Mahajan, A, Marouli, E, Sivapalaratnam, S, Young, KL, Alfred, T, Feitosa, MF, Masca, NGD, Manning, AK, Medina-Gomez, C, Mudgal, P, Ng, MCY, Reiner, AP, Vedantam, S, Willems, SM, Winkler, TW, Abecasis, G, Aben, KK, Alam, DS, Alharthi, SE, Allison, M, Amouyel, P, Asselbergs, FW, Auer, PL, Balkau, B, Bang, LE, Barroso, I, Bastarache, L, Benn, M, Bergmann, S, Bielak, LF, Bluher, M, Boehnke, M, Boeing, H, Boerwinkle, E, Boger, CA, Bork-Jensen, J, Bots, ML, Bottinger, EP, Bowden, DW, Brandslund, I, Breen, G, Brilliant, MH, Broer, L, Brumat, M, Burt, AA, Butterworth, AS, Campbell, PT, Cappellani, S, Carey, DJ, Catamo, E, Caulfield, MJ, Chambers, JC, Chasman, DI, Chen, Y-DI, Chowdhury, R, Christensen, C, Chu, AY, Cocca, M, Collins, FS, Cook, JP, Corley, J, Galbany, JC, Cox, AJ, Crosslin, DS, Cuellar-Partida, G, D'Eustacchio, A, Danesh, J, Davies, G, Bakker, PIW, Groot, MCH, Mutsert, R, Deary, IJ, Dedoussis, G, Demerath, EW, Heijer, M, Hollander, AI, Ruijter, HM, Dennis, JG, Denny, JC, Di Angelantonio, E, Drenos, F, Du, M, Dube, M-P, Dunning, AM, Easton, DF, Edwards, TL, Ellinghaus, D, Ellinor, PT, Elliott, P, Evangelou, E, Farmaki, A-E, Farooqi, IS, Faul, JD, Fauser, S, Feng, S, Ferrannini, E, Ferrieres, J, Florez, JC, Ford, I, Fornage, M, Franco, OH, Franke, A, Franks, PW, Friedrich, N, Frikke-Schmidt, R, Galesloot, TE, Gan, W, Gandin, I, Gasparini, P, Gibson, J, Giedraitis, V, Gjesing, AP, Gordon-Larsen, P, Gorski, M, Grabe, H-J, Grant, SFA, Grarup, N, Griffiths, HL, Grove, ML, Gudnason, V, Gustafsson, S, Haessler, J, Hakonarson, H, Hammerschlag, AR, Hansen, T, Harris, KM, Harris, TB, Hattersley, AT, Have, CT, Hayward, C, He, L, Heard-Costa, NL, Heath, AC, Heid, IM, Helgeland, O, Hernesniemi, J, Hewitt, AW, Holmen, OL, Hovingh, GK, Howson, JMM, Hu, Y, Huang, PL, Huffman, JE, Ikram, MA, Ingelsson, E, Jackson, AU, Jansson, J-H, Jarvik, GP, Jensen, GB, Jia, Y, Johansson, S, Jorgensen, ME, Jorgensen, T, Jukema, JW, Kahali, B, Kahn, RS, Kahonen, M, Kamstrup, PR, Kanoni, S, Kaprio, J, Karaleftheri, M, Kardia, SLR, Karpe, F, Kathiresan, S, Kee, F, Kiemeney, LA, Kim, E, Kitajima, H, Komulainen, P, Kooner, JS, Kooperberg, C, Korhonen, T, Kovacs, P, Kuivaniemi, H, Kutalik, Z, Kuulasmaa, K, Kuusisto, J, Laakso, M, Lakka, TA, Lamparter, D, Lange, EM, Lange, LA, Langenberg, C, Larson, EB, Lee, NR, Lehtimaki, T, Lewis, CE, Li, H, Li, J, Li-Gao, R, Lin, H, Lin, K-H, Lin, L-A, Lin, X, Lind, L, Lindstrom, J, Linneberg, A, Liu, C-T, Liu, DJ, Liu, Y, Lo, KS, Lophatananon, A, Lotery, AJ, Loukola, A, Luan, J, Lubitz, SA, Lyytikainen, L-P, Mannisto, S, Marenne, G, Mazul, AL, McCarthy, MI, McKean-Cowdin, R, Medland, SE, Meidtner, K, Milani, L, Mistry, V, Mitchell, P, Mohlke, KL, Moilanen, L, Moitry, M, Montgomery, GW, Mook-Kanamori, DO, Moore, C, Mori, TA, Morris, AD, Morris, AP, Mueller-Nurasyid, M, Munroe, PB, Nalls, MA, Narisu, N, Nelson, CP, Neville, M, Nielsen, SF, Nikus, K, Njolstad, PR, Nordestgaard, BG, Nyholt, DR, O'Connel, JR, O'Donoghue, ML, Loohuis, LMO, Ophoff, RA, Owen, KR, Packard, CJ, Padmanabhan, S, Palmer, CNA, Palmer, ND, Pasterkamp, G, Patel, AP, Pattie, A, Pedersen, O, Peissig, PL, Peloso, GM, Pennell, CE, Perola, M, Perry, JA, Perry, JRB, Pers, TH, Person, TN, Peters, A, Petersen, ERB, Peyser, PA, Pirie, A, Polasek, O, Polderman, TJ, Puolijoki, H, Raitakari, OT, Rasheed, A, Rauramaa, R, Reilly, DF, Renstrom, F, Rheinberger, M, Ridker, PM, Rioux, JD, Rivas, MA, Roberts, DJ, Robertson, NR, Robino, A, Rolandsson, O, Rudan, I, Ruth, KS, Saleheen, D, Salomaa, V, Samani, NJ, Sapkota, Y, Sattar, N, Schoen, RE, Schreiner, PJ, Schulze, MB, Scott, RA, Segura-Lepe, MP, Shah, SH, Sheu, WH-H, Sim, X, Slater, AJ, Small, KS, Smith, AV, Southam, L, Spector, TD, Speliotes, EK, Starr, JM, Stefansson, K, Steinthorsdottir, V, Stirrups, KE, Strauch, K, Stringham, HM, Stumvoll, M, Sun, L, Surendran, P, Swift, AJ, Tada, H, Tansey, KE, Tardif, J-C, Taylor, KD, Teumer, A, Thompson, DJ, Thorleifsson, G, Thorsteinsdottir, U, Thuesen, BH, Tonjes, A, Tromp, G, Trompet, S, Tsafantakis, E, Tuomilehto, J, Tybjaerg-Hansen, A, Tyrer, JP, Uher, R, Uitterlinden, AG, Uusitupa, M, Laan, SW, Duijn, CM, Leeuwen, N, van Setten, J, Vanhala, M, Varbo, A, Varga, TV, Varma, R, Edwards, DRV, Vermeulen, SH, Veronesi, G, Vestergaard, H, Vitart, V, Vogt, TF, Volker, U, Vuckovic, D, Wagenknecht, LE, Walker, M, Wallentin, L, Wang, F, Wang, CA, Wang, S, Wang, Y, Ware, EB, Wareham, NJ, Warren, HR, Waterworth, DM, Wessel, J, White, HD, Willer, CJ, Wilson, JG, Witte, DR, Wood, AR, Wu, Y, Yaghootkar, H, Yao, J, Yao, P, Yerges-Armstrong, LM, Young, R, Zeggini, E, Zhan, X, Zhang, W, Zhao, JH, Zhao, W, Zhou, W, Zondervan, KT, Consortium, GG, Rotter, JI, Pospisilik, JA, Rivadeneira, F, Borecki, IB, Deloukas, P, Frayling, TM, Lettre, G, North, KE, Lindgren, CM, Hirschhorn, JN, Loos, RJF, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, and Amsterdam Cardiovascular Sciences
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- 2018
30. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)
- Author
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Turcot, V, Lu, Y, Highland, HM, Schurmann, C, Justice, AE, Fine, RS, Bradfield, JP, Esko, T, Giri, A, Graff, M, Guo, X, Hendricks, AE, Karaderi, T, Lempradl, A, Locke, AE, Mahajan, A, Marouli, E, Sivapalaratnam, S, Young, KL, Alfred, T, Feitosa, MF, Masca, NGD, Manning, AK, Medina-Gomez, C, Mudgal, P, Ng, MCY, Reiner, AP, Vedantam, S, Willems, SM, Winkler, TW, Abecasis, G, Aben, KK, Alam, DS, Alharthi, SE, Allison, M, Amouyel, P, Asselbergs, FW, Auer, PL, Balkau, B, Bang, LE, Barroso, I, Bastarache, L, Benn, M, Bergmann, S, Bielak, LF, Bluher, M, Boehnke, M, Boeing, H, Boerwinkle, E, Boger, CA, Bork-Jensen, J, Bots, ML, Bottinger, EP, Bowden, DW, Brandslund, I, Breen, G, Brilliant, MH, Broer, L, Brumat, M, Burt, AA, Butterworth, AS, Campbell, PT, Cappellani, S, Carey, DJ, Catamo, E, Caulfield, MJ, Chambers, JC, Chasman, DI, Chen, Y-DI, Chowdhury, R, Christensen, C, Chu, AY, Cocca, M, Collins, FS, Cook, JP, Corley, J, Galbany, JC, Cox, AJ, Crosslin, DS, Cuellar-Partida, G, D'Eustacchio, A, Danesh, J, Davies, G, Bakker, PIW, Groot, MCH, Mutsert, R, Deary, IJ, Dedoussis, G, Demerath, EW, Heijer, M, Hollander, AI, Ruijter, HM, Dennis, JG, Denny, JC, Angelantonio, E, Drenos, F, Du, M, Dube, M-P, Dunning, AM, Easton, DF, Edwards, TL, Ellinghaus, D, Ellinor, PT, Elliott, P, Evangelou, E, Farmaki, A-E, Farooqi, IS, Faul, JD, Fauser, S, Feng, S, Ferrannini, E, Ferrieres, J, Florez, JC, Ford, I, Fornage, M, Franco, OH, Franke, A, Franks, PW, Friedrich, N, Frikke-Schmidt, R, Galesloot, TE, Gan, W, Gandin, I, Gasparini, P, Gibson, J, Giedraitis, V, Gjesing, AP, Gordon-Larsen, P, Gorski, M, Grabe, H-J, Grant, SFA, Grarup, N, Griffiths, HL, Grove, ML, Gudnason, V, Gustafsson, S, Haessler, J, Hakonarson, H, Hammerschlag, AR, Hansen, T, Harris, KM, Harris, TB, Hattersley, AT, Have, CT, Hayward, C, He, L, Heard-Costa, NL, Heath, AC, Heid, IM, Helgeland, O, Hernesniemi, J, Hewitt, AW, Holmen, OL, Hovingh, GK, Howson, JMM, Hu, Y, Huang, PL, Huffman, JE, Ikram, MA, Ingelsson, E, Jackson, AU, Jansson, J-H, Jarvik, GP, Jensen, GB, Jia, Y, Johansson, S, Jorgensen, ME, Jorgensen, T, Jukema, JW, Kahali, B, Kahn, RS, Kahonen, M, Kamstrup, PR, Kanoni, S, Kaprio, J, Karaleftheri, M, Kardia, SLR, Karpe, F, Kathiresan, S, Kee, F, Kiemeney, LA, Kim, E, Kitajima, H, Komulainen, P, Kooner, JS, Kooperberg, C, Korhonen, T, Kovacs, P, Kuivaniemi, H, Kutalik, Z, Kuulasmaa, K, Kuusisto, J, Laakso, M, Lakka, TA, Lamparter, D, Lange, EM, Lange, LA, Langenberg, C, Larson, EB, Lee, NR, Lehtimaki, T, Lewis, CE, Li, H, Li, J, Li-Gao, R, Lin, H, Lin, K-H, Lin, L-A, Lin, X, Lind, L, Lindstrom, J, Linneberg, A, Liu, C-T, Liu, DJ, Liu, Y, Lo, KS, Lophatananon, A, Lotery, AJ, Loukola, A, Luan, J, Lubitz, SA, Lyytikainen, L-P, Mannisto, S, Marenne, G, Mazul, AL, McCarthy, MI, McKean-Cowdin, R, Medland, SE, Meidtner, K, Milani, L, Mistry, V, Mitchell, P, Mohlke, KL, Moilanen, L, Moitry, M, Montgomery, GW, Mook-Kanamori, DO, Moore, C, Mori, TA, Morris, AD, Morris, AP, Mueller-Nurasyid, M, Munroe, PB, Nalls, MA, Narisu, N, Nelson, CP, Neville, M, Nielsen, SF, Nikus, K, Njolstad, PR, Nordestgaard, BG, Nyholt, DR, O'Connel, JR, O'Donoghue, ML, Loohuis, LMO, Ophoff, RA, Owen, KR, Packard, CJ, Padmanabhan, S, Palmer, CNA, Palmer, ND, Pasterkamp, G, Patel, AP, Pattie, A, Pedersen, O, Peissig, PL, Peloso, GM, Pennell, CE, Perola, M, Perry, JA, Perry, JRB, Pers, TH, Person, TN, Peters, A, Petersen, ERB, Peyser, PA, Pirie, A, Polasek, O, Polderman, TJ, Puolijoki, H, Raitakari, OT, Rasheed, A, Rauramaa, R, Reilly, DF, Renstrom, F, Rheinberger, M, Ridker, PM, Rioux, JD, Rivas, MA, Roberts, DJ, Robertson, NR, Robino, A, Rolandsson, O, Rudan, I, Ruth, KS, Saleheen, D, Salomaa, V, Samani, NJ, Sapkota, Y, Sattar, N, Schoen, RE, Schreiner, PJ, Schulze, MB, Scott, RA, Segura-Lepe, MP, Shah, SH, Sheu, WH-H, Sim, X, Slater, AJ, Small, KS, Smith, AV, Southam, L, Spector, TD, Speliotes, EK, Starr, JM, Stefansson, K, Steinthorsdottir, V, Stirrups, KE, Strauch, K, Stringham, HM, Stumvoll, M, Sun, L, Surendran, P, Swift, AJ, Tada, H, Tansey, KE, Tardif, J-C, Taylor, KD, Teumer, A, Thompson, DJ, Thorleifsson, G, Thorsteinsdottir, U, Thuesen, BH, Tonjes, A, Tromp, G, Trompet, S, Tsafantakis, E, Tuomilehto, J, Tybjaerg-Hansen, A, Tyrer, JP, Uher, R, Uitterlinden, AG, Uusitupa, M, Laan, SW, Duijn, CM, Leeuwen, N, van Setten, J, Vanhala, M, Varbo, A, Varga, TV, Varma, R, Edwards, DRV, Vermeulen, SH, Veronesi, G, Vestergaard, H, Vitart, V, Vogt, TF, Volker, U, Vuckovic, D, Wagenknecht, LE, Walker, M, Wallentin, L, Wang, F, Wang, CA, Wang, S, Wang, Y, Ware, EB, Wareham, NJ, Warren, HR, Waterworth, DM, Wessel, J, White, HD, Willer, CJ, Wilson, JG, Witte, DR, Wood, AR, Wu, Y, Yaghootkar, H, Yao, J, Yao, P, Yerges-Armstrong, LM, Young, R, Zeggini, E, Zhan, X, Zhang, W, Zhao, JH, Zhao, W, Zhou, W, Zondervan, KT, Rotter, JI, Pospisilik, JA, Rivadeneira, F, Borecki, IB, Deloukas, P, Frayling, TM, Lettre, G, North, KE, Lindgren, CM, Hirschhorn, JN, Loos, RJF, Graduate School, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, and Amsterdam Cardiovascular Sciences
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- 2018
31. Interethnic analyses of blood pressure loci in populations of East Asian and European descent.
- Author
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Takeuchi, F, Akiyama, M, Matoba, N, Katsuya, T, Nakatochi, M, Tabara, Y, Narita, A, Saw, W-Y, Moon, S, Spracklen, CN, Chai, J-F, Kim, Y-J, Zhang, L, Wang, C, Li, H, Wu, J-Y, Dorajoo, R, Nierenberg, JL, Wang, YX, He, J, Bennett, DA, Takahashi, A, Momozawa, Y, Hirata, M, Matsuda, K, Rakugi, H, Nakashima, E, Isono, M, Shirota, M, Hozawa, A, Ichihara, S, Matsubara, T, Yamamoto, K, Kohara, K, Igase, M, Han, S, Gordon-Larsen, P, Huang, W, Lee, NR, Adair, LS, Hwang, MY, Lee, J, Chee, ML, Sabanayagam, C, Zhao, W, Liu, J, Reilly, DF, Sun, L, Huo, S, Edwards, TL, Long, J, Chang, L-C, Chen, C-H, Yuan, J-M, Koh, W-P, Friedlander, Y, Kelly, TN, Bin Wei, W, Xu, L, Cai, H, Xiang, Y-B, Lin, K, Clarke, R, Walters, RG, Millwood, IY, Li, L, Chambers, JC, Kooner, JS, Elliott, P, van der Harst, P, International Genomics of Blood Pressure (iGEN-BP) Consortium, Chen, Z, Sasaki, M, Shu, X-O, Jonas, JB, Heng, C-K, Chen, Y-T, Zheng, W, Lin, X, Teo, Y-Y, Tai, E-S, Cheng, C-Y, Wong, TY, Sim, X, Mohlke, KL, Yamamoto, M, Kim, B-J, Miki, T, Nabika, T, Yokota, M, Kamatani, Y, Kubo, M, Kato, N, Takeuchi, F, Akiyama, M, Matoba, N, Katsuya, T, Nakatochi, M, Tabara, Y, Narita, A, Saw, W-Y, Moon, S, Spracklen, CN, Chai, J-F, Kim, Y-J, Zhang, L, Wang, C, Li, H, Wu, J-Y, Dorajoo, R, Nierenberg, JL, Wang, YX, He, J, Bennett, DA, Takahashi, A, Momozawa, Y, Hirata, M, Matsuda, K, Rakugi, H, Nakashima, E, Isono, M, Shirota, M, Hozawa, A, Ichihara, S, Matsubara, T, Yamamoto, K, Kohara, K, Igase, M, Han, S, Gordon-Larsen, P, Huang, W, Lee, NR, Adair, LS, Hwang, MY, Lee, J, Chee, ML, Sabanayagam, C, Zhao, W, Liu, J, Reilly, DF, Sun, L, Huo, S, Edwards, TL, Long, J, Chang, L-C, Chen, C-H, Yuan, J-M, Koh, W-P, Friedlander, Y, Kelly, TN, Bin Wei, W, Xu, L, Cai, H, Xiang, Y-B, Lin, K, Clarke, R, Walters, RG, Millwood, IY, Li, L, Chambers, JC, Kooner, JS, Elliott, P, van der Harst, P, International Genomics of Blood Pressure (iGEN-BP) Consortium, Chen, Z, Sasaki, M, Shu, X-O, Jonas, JB, Heng, C-K, Chen, Y-T, Zheng, W, Lin, X, Teo, Y-Y, Tai, E-S, Cheng, C-Y, Wong, TY, Sim, X, Mohlke, KL, Yamamoto, M, Kim, B-J, Miki, T, Nabika, T, Yokota, M, Kamatani, Y, Kubo, M, and Kato, N
- Abstract
Blood pressure (BP) is a major risk factor for cardiovascular disease and more than 200 genetic loci associated with BP are known. Here, we perform a multi-stage genome-wide association study for BP (max N = 289,038) principally in East Asians and meta-analysis in East Asians and Europeans. We report 19 new genetic loci and ancestry-specific BP variants, conforming to a common ancestry-specific variant association model. At 10 unique loci, distinct non-rare ancestry-specific variants colocalize within the same linkage disequilibrium block despite the significantly discordant effects for the proxy shared variants between the ethnic groups. The genome-wide transethnic correlation of causal-variant effect-sizes is 0.898 and 0.851 for systolic and diastolic BP, respectively. Some of the ancestry-specific association signals are also influenced by a selective sweep. Our results provide new evidence for the role of common ancestry-specific variants and natural selection in ethnic differences in complex traits such as BP.
- Published
- 2018
32. Novel non-contiguous exon duplication in choroideremia
- Author
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Edwards, TL, Williams, J, Patricio, MI, Simunovic, MP, Shanks, M, Clouston, P, MacLaren, RE, Edwards, TL, Williams, J, Patricio, MI, Simunovic, MP, Shanks, M, Clouston, P, and MacLaren, RE
- Abstract
The importance of establishing a genetic diagnosis in patients with a choroideremia phenotype has been underscored by the advent of gene replacement therapy for this condition. Here, we describe a complex imbalance at the CHM locus in a male patient with classical disease. At the DNA level, this imbalance consists of 2 non-contiguous duplications (exons 1-2 and 9-12). Further characterization suggests the generation of 2 independent CHM transcriptional units, one of which may produce a deleted form of the Rab escort protein 1 protein. Expression of such a type of aberrant protein in photoreceptors may have important implications when considering gene therapy for this disorder.
- Published
- 2018
33. Robot-assisted vitreoretinal surgery: current perspectives.
- Author
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Roizenblatt, M, Edwards, TL, Gehlbach, PL, Roizenblatt, M, Edwards, TL, and Gehlbach, PL
- Abstract
Vitreoretinal microsurgery is among the most technically challenging of the minimally invasive surgical techniques. Exceptional precision is required to operate on micron scale targets presented by the retina while also maneuvering in a tightly constrained and fragile workspace. These challenges are compounded by inherent limitations of the unassisted human hand with regard to dexterity, tremor and precision in positioning instruments. The limited human ability to visually resolve targets on the single-digit micron scale is a further limitation. The inherent attributes of robotic approaches therefore, provide logical, strategic and promising solutions to the numerous challenges associated with retinal microsurgery. Robotic retinal surgery is a rapidly emerging technology that has witnessed an exponential growth in capabilities and applications over the last decade. There is now a worldwide movement toward evaluating robotic systems in an expanding number of clinical applications. Coincident with this expanding application is growth in the number of laboratories committed to "robotic medicine". Recent technological advances in conventional retina surgery have also led to tremendous progress in the surgeon's capabilities, enhanced outcomes, a reduction of patient discomfort, limited hospitalization and improved safety. The emergence of robotic technology into this rapidly advancing domain is expected to further enhance important aspects of the retinal surgery experience for the patients, surgeons and society.
- Published
- 2018
34. Genome-wide association study identifies multiple risk loci for renal cell carcinoma
- Author
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Scelo, G, Purdue, MP, Brown, KM, Johansson, M, Wang, Z, Eckel-Passow, JE, Ye, Y, Hoffman, JN, Choi, J, Foll, M, Gaborieau, V, Machiela, MJ, Colli, LM, Li, P, Sampson, JN, Abedi-Ardekani, B, Besse, C, Blanche, H, Boland, A, Burdette, L, Charbrier, A, Durand, G, Le Calvez-Kelm, F, Prokhortchouk, E, Robinot, N, Skyrabin, KG, Wozniak, MB, Yeager, M, Basta-Jovanovich, G, Dzamic, Z, Foretova, L, Holcatova, I, Janout, V, Mates, D, Mukeriya, A, Rascu, S, Zaridze, D, Bencko, V, Cybulski, C, Fabianova, E, Jinga, V, Lissowska, J, Lubinski, J, Navratilova, M, Rudnai, P, Szeszenia-Dabrowska, N, Benhamou, S, Cancel-Tassin, G, Cussenot, O, Baglietto, L, Boeing, H, Khaw, K-T, Weiderpass, E, Ljungberg, B, Sitaram, RT, Bruinsma, F, Jordan, SJ, Severi, G, Winship, I, Hveem, K, Vatten, LJ, Fletcher, T, Koppova, K, Larsson, SC, Wolk, A, Banks, RE, Selby, PJ, Easton, DF, Pharoah, P, Andreotti, G, Beane Freeman, LE, Koutros, S, Albanes, D, Mannisto, S, Weinstein, S, Clark, PE, Edwards, TL, Lipworth, L, Gapstur, SM, Stevens, VL, Carol, H, Freedman, ML, Pomerantz, MM, Cho, E, Kraft, P, Preston, MA, Wilson, KM, Gaziano, JM, Sesso, HD, Black, A, Freedman, ND, Huang, WY, Anema, JG, Kahnoski, RJ, Lane, BR, Noyes, SL, Petillo, D, Teh, BT, Peters, U, White, E, Anderson, GL, Johnson, L, Luo, J, Buring, J, Lee, I-M, Chow, W-H, Moore, LE, Wood, C, Eisen, T, Henrion, M, Larkin, J, Barman, P, Leibovich, BC, Choueiri, TK, Lathrop, GM, Rothman, N, Deleuze, J-F, McKay, JD, Parker, AS, Wu, X, Houlston, RS, Brennan, P, and Chanock, SJ
- Abstract
Previous genome-wide association studies (GWAS) have identified six risk loci for renal cell carcinoma (RCC). We conducted a meta-analysis of two new scans of 5,198 cases and 7,331 controls together with four existing scans, totalling 10,784 cases and 20,406 controls of European ancestry. Twenty-four loci were tested in an additional 3,182 cases and 6,301 controls. We confirm the six known RCC risk loci and identify seven new loci at 1p32.3 (rs4381241, P=3.1 × 10−10), 3p22.1 (rs67311347, P=2.5 × 10−8), 3q26.2 (rs10936602, P=8.8 × 10−9), 8p21.3 (rs2241261, P=5.8 × 10−9), 10q24.33-q25.1 (rs11813268, P=3.9 × 10−8), 11q22.3 (rs74911261, P=2.1 × 10−10) and 14q24.2 (rs4903064, P=2.2 × 10−24). Expression quantitative trait analyses suggest plausible candidate genes at these regions that may contribute to RCC susceptibility.
- Published
- 2017
35. Interim Results of a Multicenter Trial with the New Electronic Subretinal Implant Alpha AMS in 15 Patients Blind from Inherited Retinal Degenerations
- Author
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Stingl, K, Schippert, R, Bartz-Schmidt, KU, Besch, D, Cottriall, CL, Edwards, TL, Gekeler, F, Greppmaier, U, Kiel, K, Koitschev, A, Kuehlewein, L, MacLaren, RE, Ramsden, JD, Roider, J, Rothermel, A, Sachs, H, Schroeder, GS, Tode, J, Troelenberg, N, Zrenner, E, Stingl, K, Schippert, R, Bartz-Schmidt, KU, Besch, D, Cottriall, CL, Edwards, TL, Gekeler, F, Greppmaier, U, Kiel, K, Koitschev, A, Kuehlewein, L, MacLaren, RE, Ramsden, JD, Roider, J, Rothermel, A, Sachs, H, Schroeder, GS, Tode, J, Troelenberg, N, and Zrenner, E
- Abstract
Purpose: We assessed the safety and efficacy of a technically advanced subretinal electronic implant, RETINA IMPLANT Alpha AMS, in end stage retinal degeneration in an interim analysis of two ongoing prospective clinical trials. The purpose of this article is to describe the interim functional results (efficacy). Methods: The subretinal visual prosthesis RETINA IMPLANT Alpha AMS (Retina Implant AG, Reutlingen, Germany) was implanted in 15 blind patients with hereditary retinal degenerations at four study sites with a follow-up period of 12 months (www.clinicaltrials.gov NCT01024803 and NCT02720640). Functional outcome measures included (1) screen-based standardized 2- or 4-alternative forced-choice (AFC) tests of light perception, light localization, grating detection (basic grating acuity (BaGA) test), and Landolt C-rings; (2) gray level discrimination; (3) performance during activities of daily living (ADL-table tasks). Results: Implant-mediated light perception was observed in 13/15 patients. During the observation period implant mediated localization of visual targets was possible in 13/15 patients. Correct grating detection was achieved for spatial frequencies of 0.1 cpd (cycles per degree) in 4/15; 0.33 cpd in 3/15; 0.66 cpd in 2/15; 1.0 cpd in 2/15 and 3.3 cpd in 1/15 patients. In two patients visual acuity (VA) assessed with Landolt C- rings was 20/546 and 20/1111. Of 6 possible gray levels on average 4.6 ± 0.8 (mean ± SD, n = 10) were discerned. Improvements (power ON vs. OFF) of ADL table tasks were measured in 13/15 patients. Overall, results were stable during the observation period. Serious adverse events (SAEs) were reported in 4 patients: 2 movements of the implant, readjusted in a second surgery; 4 conjunctival erosion/dehiscence, successfully treated; 1 pain event around the coil, successfully treated; 1 partial reduction of silicone oil tamponade leading to distorted vision (silicon oil successfully refilled). The majority of adverse events (AEs) w
- Published
- 2017
36. The Spectrum of CHM Gene Mutations in Choroideremia and Their Relationship to Clinical Phenotype
- Author
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Simunovic, MP, Jolly, JK, Xue, K, Edwards, TL, Groppe, M, Downes, SM, MacLaren, RE, Simunovic, MP, Jolly, JK, Xue, K, Edwards, TL, Groppe, M, Downes, SM, and MacLaren, RE
- Abstract
PURPOSE: We report the underlying genotype and explore possible genotypic-phenotypic correlations in a large cohort of choroideremia patients. METHODS: We studied prospectively a cohort of 79 patients diagnosed within a tertiary referral service for patients with retinal dystrophies. Phenotypic evaluation consisted of clinical examination, including visual acuity and residual retinal area by fundus autofluorescence (FAF). Genotype was established by sequencing. We also investigated whether particular genotypes were associated with more severe phenotypes by performing analysis of covariance (ANCOVA), with visual acuity and FAF as the dependent variables and age as the covariant. RESULTS: A total of 74 (94%) of patients in our cohort had causative mutations by sequencing, the majority of which were anticipated to be null. Of these, 35 (47%) had insertions and deletions, 13 (18%) had mutations predicted to affect splicing, and 26 (35%) had single point mutations. In the latter case, 13 of 21 (62%) pedigrees with single point mutations were C to T transitions at C-phosphate-G (CpG) dinucleotides. These mutations were spread across 5 of only 24 CpG dinucleotides in the entire CHM cDNA. Furthermore, these 5 locations are the only sites at which C to T transitions result in a stop codon. No clear evidence was found for genotype-phenotype correlation except in the instance of a patient with a large deletion involving neighbouring sequences. CONCLUSIONS: In patients with a diagnosis of choroideremia made by a specialty service, there is a high likelihood of establishing a genetic diagnosis. The majority of causative mutations appear to be null and, therefore, may benefit from gene replacement therapy. A disproportionate number of single point mutations observed were C to T transitions, consistent with the evolutionary decay of CpG dinucleotides through methylation and subsequent deamination. Hence, the development of choroideremia in such patients may represent the unwanted
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- 2016
37. A Qualitative and Quantitative Assessment of Fundus Autofluorescence Patterns in Patients With Choroideremia
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Jolly, JK, Edwards, TL, Moules, J, Groppe, M, Downes, SM, MacLaren, RE, Jolly, JK, Edwards, TL, Moules, J, Groppe, M, Downes, SM, and MacLaren, RE
- Abstract
PURPOSE: We set out to characterize the pattern of fundus autofluorescence (AF) loss in choroideremia (CHM) patients of varying ages and disease severity in order to determine the average rate of progression of this potential disease biomarker. METHODS: Fifty consecutive CHM patients (100 eyes) attending outpatient clinics at Oxford Eye Hospital underwent analysis with the Heidelberg OCT Spectralis with autofluorescence capabilities. The area of residual AF was traced using Heidelberg Eye Explorer. Bland-Altman analysis was used to calculate the coefficient of repeatability (CR). The degree of AF loss was correlated to different ages and the pattern of residual AF constructed into color-coded maps in order to gain insight into the mechanism of disease progression. RESULTS: The CR for measurement of AF area is <1%, indicating that a small change is likely to be significant. Correlation of patient age and area of residual AF produced a clinically relevant index of expected anatomic disease. Progression is 7.7% of the residual area each year (95% confidence intervals 7.0%-8.2%) and follows a logarithmic pattern with age (r = 0.95, P < 0.001). From this we derived the mean half-life of AF as 9 years. Qualitatively, the pattern of remaining AF centered on a point temporal to the fovea. CONCLUSIONS: The area of residual AF in CHM can be measured reproducibly and shows a distinct pattern of loss. The measured residual area is inversely correlated to age. The ratio of the two variables may provide useful information regarding the rate of progression for any one individual at a given point in time.
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- 2016
38. Endogenous spartin (SPG20) is recruited to endosomes and lipid droplets and interacts with the ubiquitin E3 ligases AIP4 and AIP5
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Edwards, TL, Clowes, VE, Tsang, HTH, Connell, JW, Sanderson, CM, Luzio, JP, Reid, E, Edwards, TL, Clowes, VE, Tsang, HTH, Connell, JW, Sanderson, CM, Luzio, JP, and Reid, E
- Abstract
The HSPs (hereditary spastic paraplegias) are genetic conditions in which there is distal degeneration of the longest axons of the corticospinal tract, resulting in spastic paralysis of the legs. The gene encoding spartin is mutated in Troyer syndrome, an HSP in which paralysis is accompanied by additional clinical features. There has been controversy over the subcellular distribution of spartin. We show here that, at steady state, endogenous spartin exists in a cytosolic pool that can be recruited to endosomes and to lipid droplets. Cytosolic endogenous spartin is mono-ubiquitinated and we demonstrate that it interacts via a PPXY motif with the ubiquitin E3 ligases AIP4 [atrophin-interacting protein 4; ITCH (itchy E3 ubiquitin protein ligase homologue] [corrected] and AIP5 (WWP1). Surprisingly, the PPXY motif, AIP4 and AIP5 are not required for spartin's ubiquitination, and so we propose that spartin acts as an adaptor for these proteins. Our results suggest that spartin is involved in diverse cellular functions, which may be of relevance to the complex phenotype seen in Troyer syndrome.
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- 2009
39. The hereditary spastic paraplegia proteins NIPA1, spastin and spartin are inhibitors of mammalian BMP signalling
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Tsang, HTH, Edwards, TL, Wang, X, Connell, JW, Davies, RJ, Durrington, HJ, O'Kane, CJ, Luzio, JP, Reid, E, Tsang, HTH, Edwards, TL, Wang, X, Connell, JW, Davies, RJ, Durrington, HJ, O'Kane, CJ, Luzio, JP, and Reid, E
- Abstract
The hereditary spastic paraplegias (HSPs) are genetic conditions characterized by distal axonopathy of the longest corticospinal tract axons, and so their study provides an important opportunity to understand mechanisms involved in axonal maintenance and degeneration. A group of HSP genes encode proteins that localize to endosomes. One of these is NIPA1 (non-imprinted in Prader-Willi/Angelman syndrome 1) and we have shown recently that its Drosophila homologue spichthyin inhibits bone morphogenic protein (BMP) signalling, although the relevance of this finding to the mammalian protein was not known. We show here that mammalian NIPA1 is also an inhibitor of BMP signalling. NIPA1 physically interacts with the type II BMP receptor (BMPRII) and we demonstrate that this interaction does not require the cytoplasmic tail of BMPRII. We show that the mechanism by which NIPA1 inhibits BMP signalling involves downregulation of BMP receptors by promoting their endocytosis and lysosomal degradation. Disease-associated mutant versions of NIPA1 alter the trafficking of BMPRII and are less efficient at promoting BMPRII degradation than wild-type NIPA1. In addition, we demonstrate that two other members of the endosomal group of HSP proteins, spastin and spartin, are inhibitors of BMP signalling. Since BMP signalling is important for distal axonal function, we propose that dysregulation of BMP signalling could be a unifying pathological component in this endosomal group of HSPs, and perhaps of importance in other conditions in which distal axonal degeneration is found.
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- 2009
40. Apoptotic engulfment pathway and schizophrenia
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Chen, X, Sun, C, Chen, Q, O'Neill, FA, Walsh, D, Fanous, AH, Chowdari, KV, Nimgaonkar, VL, Scott, A, Schwab, SG, Wildenauer, DB, Che, R, Tang, W, Shi, Y, He, L, Luo, XJ, Su, B, Edwards, TL, Zhao, Z, Kendler, KS, Chen, X, Sun, C, Chen, Q, O'Neill, FA, Walsh, D, Fanous, AH, Chowdari, KV, Nimgaonkar, VL, Scott, A, Schwab, SG, Wildenauer, DB, Che, R, Tang, W, Shi, Y, He, L, Luo, XJ, Su, B, Edwards, TL, Zhao, Z, and Kendler, KS
- Abstract
Background: Apoptosis has been speculated to be involved in schizophrenia. In a previously study, we reported the association of the MEGF10 gene with the disease. In this study, we followed the apoptotic engulfment pathway involving the MEGF10, GULP1, ABCA1 and ABCA7 genes and tested their association with the disease. Methodology/Principal Findings: Ten, eleven and five SNPs were genotyped in the GULP1, ABCA1 and ABCA7 genes respectively for the ISHDSF and ICCSS samples. In all 3 genes, we observed nominally significant associations. Rs2004888 at GULP1 was significant in both ISHDSF and ICCSS samples (p = 0.0083 and 0.0437 respectively). We sought replication in independent samples for this marker and found highly significant association (p = 0.0003) in 3 Caucasian replication samples. But it was not significant in the 2 Chinese replication samples. In addition, we found a significant 2-marker (rs2242436 * rs3858075) interaction between the ABCA1 and ABCA7 genes in the ISHDSF sample (p = 0.0022) and a 3-marker interaction (rs246896 * rs4522565 * rs3858075) amongst the MEGF10, GULP1 and ABCA1 genes in the ICCSS sample (p = 0.0120). Rs3858075 in the ABCA1 gene was involved in both 2- and 3-marker interactions in the two samples. Conclusions/Significance: From these data, we concluded that the GULP1 gene and the apoptotic engulfment pathway are involved in schizophrenia in subjects of European ancestry and multiple genes in the pathway may interactively increase the risks to the disease. © 2009 Chen et al.
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- 2009
41. Parameter estimation using paleodata assimilation
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Annan, James D, primary, Crucifix, M, additional, Edwards, TL, additional, and Paul, A, additional
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- 2013
- Full Text
- View/download PDF
42. Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis
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Gallagher, CS, Mäkinen, N, Harris, HR, Rahmioglu, N, Uimari, O, Cook, JP, Shigesi, N, Ferreira, T, Velez-Edwards, DR, Edwards, TL, Mortlock, S, Ruhioglu, Z, Day, F, Becker, CM, Karhunen, V, Martikainen, H, Järvelin, M-R, Cantor, RM, Ridker, PM, Terry, KL, Buring, JE, Gordon, SD, Medland, SE, Montgomery, GW, Nyholt, DR, Hinds, DA, Tung, JY, 23andMe Research Team, Perry, JRB, Lind, PA, Painter, JN, Martin, NG, Morris, AP, Chasman, DI, Missmer, SA, Zondervan, KT, and Morton, CC
- Subjects
Adult ,Leiomyoma ,Forkhead Box Protein O1 ,Endometriosis ,Ataxia Telangiectasia Mutated Proteins ,Mendelian Randomization Analysis ,Middle Aged ,Polymorphism, Single Nucleotide ,White People ,3. Good health ,Uterine Neoplasms ,Humans ,Female ,Receptor, Fibroblast Growth Factor, Type 4 ,Menorrhagia ,Telomerase ,Genome-Wide Association Study ,Proportional Hazards Models ,Signal Transduction - Abstract
Uterine leiomyomata (UL) are the most common neoplasms of the female reproductive tract and primary cause for hysterectomy, leading to considerable morbidity and high economic burden. Here we conduct a GWAS meta-analysis in 35,474 cases and 267,505 female controls of European ancestry, identifying eight novel genome-wide significant (P < 5 × 10-8) loci, in addition to confirming 21 previously reported loci, including multiple independent signals at 10 loci. Phenotypic stratification of UL by heavy menstrual bleeding in 3409 cases and 199,171 female controls reveals genome-wide significant associations at three of the 29 UL loci: 5p15.33 (TERT), 5q35.2 (FGFR4) and 11q22.3 (ATM). Four loci identified in the meta-analysis are also associated with endometriosis risk; an epidemiological meta-analysis across 402,868 women suggests at least a doubling of risk for UL diagnosis among those with a history of endometriosis. These findings increase our understanding of genetic contribution and biology underlying UL development, and suggest overlapping genetic origins with endometriosis.
43. A catalog of genetic loci associated with kidney function from analyses of a million individuals
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Wuttke, Matthias, Li, Yong, Li, Man, Sieber, Karsten B., Feitosa, Mary F., Gorski, Mathias, Tin, Adrienne, Wang, Lihua, Chu, Audrey Y., Hoppmann, Anselm, Kirsten, Holger, Giri, Ayush, Chai, Jin-Fang, Sveinbjornsson, Gardar, Tayo, Bamidele O., Nutile, Teresa, Fuchsberger, Christian, Marten, Jonathan, Cocca, Massimiliano, Ghasemi, Sahar, Xu, Yizhe, Horn, Katrin, Noce, Damia, van der Most, Peter J., Sedaghat, Sanaz, Yu, Zhi, Akiyama, Masato, Afaq, Saima, Ahluwalia, Tarunveer S., Almgren, Peter, Amin, Najaf, Ärnlöv, Johan, Bakker, Stephan J. L., Bansal, Nisha, Baptista, Daniela, Bergmann, Sven, Biggs, Mary L., Biino, Ginevra, Boehnke, Michael, Boerwinkle, Eric, Boissel, Mathilde, Bottinger, Erwin P., Boutin, Thibaud S., Brenner, Hermann, Brumat, Marco, Burkhardt, Ralph, Butterworth, Adam S., Campana, Eric, Campbell, Archie, Campbell, Harry, Canouil, Mickaël, Carroll, Robert J., Catamo, Eulalia, Chambers, John C., Chee, Miao-Ling, Chee, Miao-Li, Chen, Xu, Cheng, Ching-Yu, Cheng, Yurong, Christensen, Kaare, Cifkova, Renata, Ciullo, Marina, Pina Concas, Maria, Cook, James P., Coresh, Josef, Corre, Tanguy, Sala, Cinzia Felicita, Cusi, Daniele, Danesh, John, Daw, E. Warwick, de Borst, Martin H., De Grandi, Alessandro, de Mutsert, Renée, de Vries, Aiko P. J., Degenhardt, Frauke, Delgado, Graciela, Demirkan, Ayse, Di Angelantonio, Emanuele, Dittrich, Katalin, Divers, Jasmin, Dorajoo, Rajkumar, Eckardt, Kai-Uwe, Ehret, Georg, Elliott, Paul, Endlich, Karlhans, Evans, Michele K., Felix, Janine F., Foo, Valencia Hui Xian, Franco, Oscar H., Franke, Andre, Freedman, Barry I., Freitag-Wolf, Sandra, Friedlander, Yechiel, Froguel, Philippe, Gansevoort, Ron T., Gao, He, Gasparini, Paolo, Gaziano, J. Michael, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Giulianini, Franco, Gögele, Martin, Gordon, Scott D., Gudbjartsson, Daniel F., Gudnason, Vilmundur, Haller, Toomas, Hamet, Pavel, Harris, Tamara B., Hartman, Catharina A., Hayward, Caroline, Hellwege, Jacklyn N., Heng, Chew-Kiat, Hickst, Andrew A., Hofer, Edith, Huang, Wei, Hutri-Kähönen, Nina, Hwang, Shih-Jen, ikram, M. Arfan, indridason, Olafur S., Ingelsson, Erik, ising, Marcus, Jaddoe, Vincent W. V., Jakobsdottir, Johanna, Jonas, Jost B, Joshi, Peter K., Shilpa Josyula, Navya, Jung, Bettina, Kähönen, Mika, Kamatani, Yoichiro, Kammerer, Candace M., Kanai, Masahiro, Kastarinen, Mika, Kerr, Shona M., Khor, Chiea-Chuen, Kiess, Wieland, Kleber, Marcus E., Koenig, Wolfgang, Kooner, Jaspal S., Körner, Antje, Kovacs, Peter, Kraja, Aldi T., Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard K., Kronenberg, Florian, Kubo, Michiaki, Kühnel, Brigitte, Kuokkanen, Mikko, Kuusisto, Johanna, La Bianca, Martina, Laakso, Markku, Lange, Leslie A., Langefeld, Carl D., Jen-Mai Lee, Jeannette, Lehne, Benjamin, Lehtimäki, Terho, Lieb, Wolfgang, Cohort Study, Lifelines, Lim, Su-Chi, Lind, Lars, Lindgren, Cecilia M., Liu, Jun, Liu, Jianjun, Loeffler, Markus, Loos, Ruth J. F., Lucae, Susanne, Ann Lukas, Mary, Lyytikäinen, Leo-Pekka, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Martins, Jade, März, Winfried, Mascalzoni, Deborah, Matsuda, Koichi, Christa Meisinger, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mikaelsdottir, Evgenia K., Milaneschi, Yuri, Miliku, Kozeta, Mishra, Pashupati P., Veteran Program, V. A. Million, Mohlke, Karen L., Mononen, Nina, Montgomery, Grant W., Mook-Kanamori, Dennis O., Mychaleckyj, Josyf C., Nadkarni, Girish N, Nalls, Mike A., Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, ilja M., Noordam, Raymond, O’Connell, Jeffrey, O’Donoghue, Michelle L., Olafsson, Isleifur, Oldehinkel, Albertine J., Orho-Melander, Marju, Ouwehand, Willem H., Padmanabhan, Sandosh, Palmer, Nicholette D., Palsson, Runolfur, Penninx, Brenda W. J. H., Perls, Thomas, Perola, Markus, Pirastu, Mario, Pirastu, Nicola, Pistis, Giorgio, Podgornaia, Anna I., Polasek, Ozren, Ponte, Belen, Porteous, David J., Poulain, Tanja, Pramstaller, Peter P., Preuss, Michael H., Prins, Bram P., Province, Michael A., Rabelink, Ton J., Raffield, Laura M., Raitakari, Olli T., Reilly, Dermot F., Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M., Ridker, Paul M., Rivadeneira, Fernando, Rizzi, Federica, Roberts, David J., Robino, Antonietta, Rossing, Peter, Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Ryan, Kathleen A., Saba, Yasaman, Sabanayagam, Charumathi, Salomaa, Veikko, Salvi, Erika, Saum, Kai-Uwe, Schmidt, Helena, Schmidt, Reinhold, Schöttker, Ben, Schulz, Christina-Alexandra, Schupf, Nicole, Shaffer, Christian M., Shi, Yuan, Smith, Albert V., Smith, Blair H., Soranzo, Nicole, Spracklen, Cassandra N., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Svensson, Per O., Szymczak, Silke, Tai, E-Shyong, Tajuddin, Salman M., Tan, Nicholas Y. Q., Taylor, Kent D., Teren, Andrej, Tham, Yih-Chung, Thiery, Joachim, Thio, Chris H. L., Thomsen, Hauke, Thorleifsson, Gudmar, Toniolo, Daniela, Tönjes, Anke, Tremblay, Johanne, Tzoulaki, Ioanna, Uitterlinden, André G., Vaccargiu, Simona, van Dam, Rob M., van der Harst, Pim, van Duijn, Cornelia M., Velez Edward, Digna R., Verweij, Niek, Vogelezang, suzanne, Völker, üwe, Vollenweider, Peter, Waeber, Gerard, Waldenberger, Melanie, Wallentin, Lars, Wang, Ya Xing, Wang, Chaolong, Waterworth, Dawn M., Bin Wei, Wen, White, Harvey, Whitfield, John B., Wild, Sarah H., Wilson, James F., Wojczynski, Mary K., Wong, Charlene, Wong, Tien-Yin, Xu, Liang, Yang, Qiong, Yasuda, Masayuki, Yerges-Armstrong, Laura M., Zhang, Weihua, Zonderman, Alan B., Rotter, Jerome I., Bochud, Murielle, Psaty, Bruce M., Vitart, Veronique, Wilson, James G., Dehghan, Abbas, Parsa, Afshin, Chasman, Daniel I., Ho, Kevin, Morris, Andrew P., Devuyst, Olivier, Akilesh, Shreeram, Pendergrass, Sarah A., Sim, Xueling, Böger, Carsten A., Okada, Yukinori, Edwards, Todd L., Snieder, Harold, Stefansson, Kari, Hung, Adriana M., Heid, Iris M., Markus Scholz, Teumer, Alexander, Köttgen, Anna, Pattaro, Cristian, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Internal Medicine, Epidemiology, Erasmus MC other, Pediatrics, Psychiatry, APH - Mental Health, APH - Digital Health, Wuttke, M, Li, Y, Li, M, Sieber, Kb, Feitosa, Mf, Gorski, M, Tin, A, Wang, L, Chu, Ay, Hoppmann, A, Kirsten, H, Giri, A, Chai, Jf, Sveinbjornsson, G, Tayo, Bo, Nutile, T, Fuchsberger, C, Marten, J, Cocca, M, Ghasemi, S, Xu, Y, Horn, K, Noce, D, van der Most, Pj, Sedaghat, S, Yu, Z, Akiyama, M, Afaq, S, Ahluwalia, T, Almgren, P, Amin, N, Ärnlöv, J, Bakker, Sjl, Bansal, N, Baptista, D, Bergmann, S, Biggs, Ml, Biino, G, Boehnke, M, Boerwinkle, E, Boissel, M, Bottinger, Ep, Boutin, T, Brenner, H, Brumat, M, Burkhardt, R, Butterworth, A, Campana, Eric, Campbell, A, Campbell, H, Canouil, M, Carroll, Rj, Catamo, E, Chambers, Jc, Chee, Ml, Chen, X, Cheng, Cy, Cheng, Y, Christensen, K, Cifkova, R, Ciullo, M, Concas, Mp, Cook, Jp, Coresh, J, Corre, T, Sala, Cf, Cusi, D, Danesh, J, Daw, Ew, de Borst, Mh, De Grandi, A, de Mutsert, R, de Vries, Apj, Degenhardt, F, Delgado, G, Demirkan, A, Di Angelantonio, E, Dittrich, K, Divers, J, Dorajoo, R, Eckardt, Ku, Ehret, G, Elliott, P, Endlich, K, Evans, Mk, Felix, Jf, Foo, Vhx, Franco, Oh, Franke, A, Freedman, Bi, Freitag-Wolf, S, Friedlander, Y, Froguel, P, Gansevoort, Rt, Gao, H, Gasparini, P, Gaziano, Jm, Giedraitis, V, Gieger, C, Girotto, G, Giulianini, F, Gögele, M, Gordon, Sd, Gudbjartsson, Df, Gudnason, V, Haller, T, Hamet, P, Harris, Tb, Hartman, Ca, Hayward, C, Hellwege, Jn, Heng, Ck, Hicks, Aa, Hofer, E, Huang, W, Hutri-Kähönen, N, Hwang, Sj, Ikram, Ma, Indridason, O, Ingelsson, E, Ising, M, Jaddoe, Vwv, Jakobsdottir, J, Jonas, Jb, Joshi, Pk, Josyula, N, Jung, B, Kähönen, M, Kamatani, Y, Kammerer, Cm, Kanai, M, Kastarinen, M, Kerr, Sm, Khor, Cc, Kiess, W, Kleber, Me, Koenig, W, Kooner, J, Körner, A, Kovacs, P, Kraja, At, Krajcoviechova, A, Kramer, H, Krämer, Bk, Kronenberg, F, Kubo, M, Kühnel, B, Kuokkanen, M, Kuusisto, J, La Bianca, M, Laakso, M, Lange, La, Langefeld, Cd, Lee, Jj, Lehne, B, Lehtimäki, T, Lieb, W, Lifelines Cohort, Study, Lim, Sc, Lind, L, Lindgren, Cm, Liu, J, Loeffler, M, Loos, Rjf, Lucae, S, Lukas, Ma, Lyytikäinen, Lp, Mägi, R, Magnusson, Pke, Mahajan, A, Martin, Ng, Martins, J, März, W, Mascalzoni, D, Matsuda, K, Meisinger, C, Meitinger, T, Melander, O, Metspalu, A, Mikaelsdottir, Ek, Milaneschi, Y, Miliku, K, Mishra, Pp, V. A., Million Veteran Program, Mohlke, Kl, Mononen, N, Montgomery, Gw, Mook-Kanamori, Do, Mychaleckyj, Jc, Nadkarni, Gn, Nalls, Ma, Nauck, M, Nikus, K, Ning, B, Nolte, Im, Noordam, R, O'Connell, J, O'Donoghue, Ml, Olafsson, I, Oldehinkel, Aj, Orho-Melander, M, Ouwehand, Wh, Padmanabhan, S, Palmer, Nd, Palsson, R, Penninx, Bwjh, Perls, T, Perola, M, Pirastu, M, Pirastu, N, Pistis, G, Podgornaia, Ai, Polasek, O, Ponte, B, Porteous, Dj, Poulain, T, Pramstaller, Pp, Preuss, Mh, Prins, Bp, Province, Ma, Rabelink, Tj, Raffield, Lm, Raitakari, Ot, Reilly, Df, Rettig, R, Rheinberger, M, Rice, Km, Ridker, Pm, Rivadeneira, F, Rizzi, F, Roberts, Dj, Robino, A, Rossing, P, Rudan, I, Rueedi, R, Ruggiero, D, Ryan, Ka, Saba, Y, Sabanayagam, C, Salomaa, V, Salvi, E, Saum, Ku, Schmidt, H, Schmidt, R, Schöttker, B, Schulz, Ca, Schupf, N, Shaffer, Cm, Shi, Y, Smith, Av, Smith, Bh, Soranzo, N, Spracklen, Cn, Strauch, K, Stringham, Hm, Stumvoll, M, Svensson, Po, Szymczak, S, Tai, E, Tajuddin, Sm, Tan, Nyq, Taylor, Kd, Teren, A, Tham, Yc, Thiery, J, Thio, Chl, Thomsen, H, Thorleifsson, G, Toniolo, D, Tönjes, A, Tremblay, J, Tzoulaki, I, Uitterlinden, Ag, Vaccargiu, S, van Dam, Rm, van der Harst, P, van Duijn, Cm, Velez Edward, Dr, Verweij, N, Vogelezang, S, Völker, U, Vollenweider, P, Waeber, G, Waldenberger, M, Wallentin, L, Wang, Yx, Wang, C, Waterworth, Dm, Bin Wei, W, White, H, Whitfield, Jb, Wild, Sh, Wilson, Jf, Wojczynski, Mk, Wong, C, Wong, Ty, Xu, L, Yang, Q, Yasuda, M, Yerges-Armstrong, Lm, Zhang, W, Zonderman, Ab, Rotter, Ji, Bochud, M, Psaty, Bm, Vitart, V, Wilson, Jg, Dehghan, A, Parsa, A, Chasman, Di, Ho, K, Morris, Ap, Devuyst, O, Akilesh, S, Pendergrass, Sa, Sim, X, Böger, Ca, Okada, Y, Edwards, Tl, Snieder, H, Stefansson, K, Hung, Am, Heid, Im, Scholz, M, Teumer, A, Köttgen, A, and Pattaro, C.
- Subjects
catalog ,Inheritance Patterns ,Hasso-Plattner-Institut für Digital Engineering GmbH ,Genome-wide association study ,Disease ,Kidney Function Tests ,Bioinformatics ,DISEASE ,0302 clinical medicine ,Uromodulin/urine ,kidney function ,11 Medical and Health Sciences ,Genetics & Heredity ,ddc:616 ,0303 health sciences ,Kidney ,Genome-wide association ,HERITABILITY ,GENOME-WIDE ASSOCIATION ,COMMON VARIANTS ,RENAL-FUNCTION ,TRANS-EQTLS ,METAANALYSIS ,TRANSPORTER ,CLASSIFICATION ,INTEGRATION ,Chromosome Mapping ,3. Good health ,Phenotype ,medicine.anatomical_structure ,Medical genetics ,Common variants ,Renal function ,Trans-EQTLS ,Metaanalysis ,Heritability ,Transporter ,Life Sciences & Biomedicine ,Glomerular Filtration Rate ,Metaanalysi ,medicine.medical_specialty ,Genotype ,European Continental Ancestry Group ,Quantitative Trait Loci ,Common variant ,Quantitative trait locus ,Biology ,Polymorphism, Single Nucleotide ,Article ,White People ,V. A. Million Veteran Program ,03 medical and health sciences ,Quantitative Trait, Heritable ,Lifelines Cohort Study ,Uromodulin ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,Renal Insufficiency, Chronic ,Genetic Association Studies ,030304 developmental biology ,Genetic association ,Science & Technology ,urogenital system ,association ,genetic loci ,06 Biological Sciences ,medicine.disease ,Renal Insufficiency, Chronic/genetics/physiopathology/urine ,Genetic Association Studies/methods ,ddc:000 ,030217 neurology & neurosurgery ,Developmental Biology ,Genome-Wide Association Study ,Kidney disease - Abstract
Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
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- 2019
44. Measuring X-Chromosome inactivation skew for X-linked diseases with adaptive nanopore sequencing.
- Author
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Gocuk SA, Lancaster J, Su S, Jolly JK, Edwards TL, Hickey DG, Ritchie ME, Blewitt ME, Ayton LN, and Gouil Q
- Subjects
- Humans, Female, Choroideremia genetics, Retinitis Pigmentosa genetics, Chromosomes, Human, X genetics, Male, DNA Methylation, Phenotype, Eye Proteins, X Chromosome Inactivation genetics, Nanopore Sequencing methods, Genetic Diseases, X-Linked genetics
- Abstract
X-linked genetic disorders typically affect females less severely than males owing to the presence of a second X Chromosome not carrying the deleterious variant. However, the phenotypic expression in females is highly variable, which may be explained by an allelic skew in X-Chromosome inactivation. Accurate measurement of X inactivation skew is crucial to understand and predict disease phenotype in carrier females, with prediction especially relevant for degenerative conditions. We propose a novel approach using nanopore sequencing to quantify skewed X inactivation accurately. By phasing sequence variants and methylation patterns, this single assay reveals the disease variant, X inactivation skew, and its directionality and is applicable to all patients and X-linked variants. Enrichment of X Chromosome reads through adaptive sampling enhances cost-efficiency. Our study includes a cohort of 16 X-linked variant carrier females affected by two X-linked inherited retinal diseases: choroideremia and RPGR -associated retinitis pigmentosa. As retinal DNA cannot be readily obtained, we instead determine the skew from peripheral samples (blood, saliva, and buccal mucosa) and correlate it to phenotypic outcomes. This reveals a strong correlation between X inactivation skew and disease presentation, confirming the value in performing this assay and its potential as a way to prioritize patients for early intervention, such as gene therapy currently in clinical trials for these conditions. Our method of assessing skewed X inactivation is applicable to all long-read genomic data sets, providing insights into disease risk and severity and aiding in the development of individualized strategies for X-linked variant carrier females., (© 2024 Gocuk et al.; Published by Cold Spring Harbor Laboratory Press.)
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- 2024
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45. Development of electronic health record based algorithms to identify individuals with diabetic retinopathy.
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Breeyear JH, Mitchell SL, Nealon CL, Hellwege JN, Charest B, Khakharia A, Halladay CW, Yang J, Garriga GA, Wilson OD, Basnet TB, Hung AM, Reaven PD, Meigs JB, Rhee MK, Sun Y, Lynch MG, Sobrin L, Brantley MA Jr, Sun YV, Wilson PW, Iyengar SK, Peachey NS, Phillips LS, Edwards TL, and Giri A
- Subjects
- Humans, Male, Middle Aged, Female, Case-Control Studies, Aged, International Classification of Diseases, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 1 diagnosis, Adult, Electronic Health Records, Diabetic Retinopathy diagnosis, Algorithms
- Abstract
Objectives: To develop, validate, and implement algorithms to identify diabetic retinopathy (DR) cases and controls from electronic health care records (EHRs)., Materials and Methods: We developed and validated electronic health record (EHR)-based algorithms to identify DR cases and individuals with type I or II diabetes without DR (controls) in 3 independent EHR systems: Vanderbilt University Medical Center Synthetic Derivative (VUMC), the VA Northeast Ohio Healthcare System (VANEOHS), and Massachusetts General Brigham (MGB). Cases were required to meet 1 of the following 3 criteria: (1) 2 or more dates with any DR ICD-9/10 code documented in the EHR, (2) at least one affirmative health-factor or EPIC code for DR along with an ICD9/10 code for DR on a different day, or (3) at least one ICD-9/10 code for any DR occurring within 24 hours of an ophthalmology examination. Criteria for controls included affirmative evidence for diabetes as well as an ophthalmology examination., Results: The algorithms, developed and evaluated in VUMC through manual chart review, resulted in a positive predictive value (PPV) of 0.93 for cases and negative predictive value (NPV) of 0.91 for controls. Implementation of algorithms yielded similar metrics in VANEOHS (PPV = 0.94; NPV = 0.86) and lower in MGB (PPV = 0.84; NPV = 0.76). In comparison, the algorithm for DR implemented in Phenome-wide association study (PheWAS) in VUMC yielded similar PPV (0.92) but substantially reduced NPV (0.48). Implementation of the algorithms to the Million Veteran Program identified over 62 000 DR cases with genetic data including 14 549 African Americans and 6209 Hispanics with DR., Conclusions/discussion: We demonstrate the robustness of the algorithms at 3 separate healthcare centers, with a minimum PPV of 0.84 and substantially improved NPV than existing automated methods. We strongly encourage independent validation and incorporation of features unique to each EHR to enhance algorithm performance for DR cases and controls., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.)
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- 2024
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46. Soluble glycoprotein VI predicts abdominal aortic aneurysm growth rate and is a novel therapeutic target.
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Benson TW, Pike MM, Spuzzillo A, Hicks SM, Ali S, Pham M, Mix DS, Brunner SI, Wadding-Lee C, Conrad KA, Russell HM, Jennings C, Coughlin TM, Aggarwal A, Lyden S, Mani K, Björck M, Wanhainen A, Bhandari R, Lipworth-Elliot L, Robinson-Cohen C, Caputo FJ, Shim S, Quesada O, Tourdot B, Edwards TL, Tranter M, Gardiner EE, Mackman N, Cameron SJ, and Owens AP 3rd
- Subjects
- Animals, Humans, Mice, Blood Platelets metabolism, Blood Platelets pathology, Disease Models, Animal, Disease Progression, Platelet Activation, Thrombosis metabolism, Thrombosis pathology, Thrombosis etiology, Aortic Aneurysm, Abdominal pathology, Aortic Aneurysm, Abdominal metabolism, Platelet Membrane Glycoproteins metabolism, Platelet Membrane Glycoproteins genetics
- Abstract
Abstract: A common feature in patients with abdominal aortic aneurysms (AAAs) is the formation of a nonocclusive intraluminal thrombus (ILT) in regions of aortic dilation. Platelets are known to maintain hemostasis and propagate thrombosis through several redundant activation mechanisms, yet the role of platelet activation in the pathogenesis of AAA-associated ILT is still poorly understood. Thus, we sought to investigate how platelet activation affects the pathogenesis of AAA. Using RNA sequencing, we identified that the platelet-associated transcripts are significantly enriched in the ILT compared with the adjacent aneurysm wall and healthy control aortas. We found that the platelet-specific receptor glycoprotein VI (GPVI) is among the top enriched genes in AAA ILT and is increased on the platelet surface of patients with AAAs. Examination of a specific indicator of platelet activity, soluble GPVI (sGPVI), in 2 independent cohorts of patients with AAAs is highly predictive of an AAA diagnosis and associates more strongly with aneurysm growth rate than D-dimer in humans. Finally, intervention with the anti-GPVI antibody (JAQ1) in mice with established aneurysms blunted the progression of AAA in 2 independent mouse models. In conclusion, we show that the levels of sGPVI in humans can predict a diagnosis of AAA and AAA growth rate, which may be critical in the identification of high-risk patients. We also identify GPVI as a novel platelet-specific AAA therapeutic target, with minimal risk of adverse bleeding complications, for which none currently exists., (© 2024 American Society of Hematology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.)
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- 2024
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47. Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency.
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Shyr C, Grout RW, Kennedy N, Akdas Y, Tischbein M, Milford J, Tan J, Quarles K, Edwards TL, Novak LL, White J, Wilkins CH, and Harris PA
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- Humans, Biomedical Research, Information Dissemination, Artificial Intelligence, Abstracting and Indexing
- Abstract
Objective: Returning aggregate study results is an important ethical responsibility to promote trust and inform decision making, but the practice of providing results to a lay audience is not widely adopted. Barriers include significant cost and time required to develop lay summaries and scarce infrastructure necessary for returning them to the public. Our study aims to generate, evaluate, and implement ChatGPT 4 lay summaries of scientific abstracts on a national clinical study recruitment platform, ResearchMatch, to facilitate timely and cost-effective return of study results at scale., Materials and Methods: We engineered prompts to summarize abstracts at a literacy level accessible to the public, prioritizing succinctness, clarity, and practical relevance. Researchers and volunteers assessed ChatGPT-generated lay summaries across five dimensions: accuracy, relevance, accessibility, transparency, and harmfulness. We used precision analysis and adaptive random sampling to determine the optimal number of summaries for evaluation, ensuring high statistical precision., Results: ChatGPT achieved 95.9% (95% CI, 92.1-97.9) accuracy and 96.2% (92.4-98.1) relevance across 192 summary sentences from 33 abstracts based on researcher review. 85.3% (69.9-93.6) of 34 volunteers perceived ChatGPT-generated summaries as more accessible and 73.5% (56.9-85.4) more transparent than the original abstract. None of the summaries were deemed harmful. We expanded ResearchMatch's technical infrastructure to automatically generate and display lay summaries for over 750 published studies that resulted from the platform's recruitment mechanism., Discussion and Conclusion: Implementing AI-generated lay summaries on ResearchMatch demonstrates the potential of a scalable framework generalizable to broader platforms for enhancing research accessibility and transparency., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.)
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- 2024
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48. Practice Patterns and Challenges in Managing Inherited Retinal Diseases Across Asia-Pacific: A Survey from the APIED Network.
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Wong WM, Tham YC, Ayton LN, Britten-Jones AC, Edwards TL, Grigg J, Simunovic MP, Chen FK, Jin ZB, Shen RJ, Sui R, Yang L, Zhao C, Chen H, Li S, Ding X, Bhende M, Raman R, Sen P, Poornachandra B, Chia V, Manurung F, Sasongko MB, Ikeda H, Fujinami K, Woo SJ, Kim SJ, Bastion MC, Kamalden AT, Lott PP, Fong K, Shunmugam M, Lim A, Thapa R, Ibañez BMB, Koh A, Holder GE, Su X, Chan CM, Fenner BJ, Laude A, Ngo WK, Chen TC, Wang NK, Kang EY, Surawatsatien N, Pisuchpen P, Sujirakul T, Wongchaisuwat N, Apivatthakakul A, Kumaramanickavel G, Leroy B, Michaelides M, Pontikos N, Cheng CY, Pang CP, Chen LJ, and Chan HW
- Subjects
- Humans, Surveys and Questionnaires, Asia, Practice Patterns, Physicians' statistics & numerical data, Registries, Genetic Counseling, Phenotype, Disease Management, Retinal Diseases therapy, Retinal Diseases rehabilitation, Retinal Diseases genetics
- Abstract
Purpose: The objective of this paper is to shed light on the current landscape of genotyping practices, phenotyping practices and availability of essential vision rehabilitation management for inherited retinal diseases (IRD) in the Asia-Pacific (APAC) Region., Methods: The 62-item questionnaire was distributed electronically via email. The questions covered five domains: (1) structure of the IRD service and registry/database; (2) genotyping practices; (3) genetic counselling; (4) deep phenotyping practices; (5) low-vision rehabilitation services., Results: The survey was completed by 36 of 45 centres in twelve countries and regions in APAC. Among these centres, 42 % reported managing more than 1000 patients. Notably, 39 % of centres lack an IRD database or registry, and 44 % of centres have tested less than one-quarter of their IRD patients. The majority of centres (67 %) do not have genetic counsellors. While there was consistency in the imaging-based investigations, there was marked heterogeneity for functional testing using electrophysiology and formal perimetry. Only 34 % of centres confirmed the availability of access to low-vision assistive devices., Conclusions: This study reveals several critical gaps in managing IRDs in the APAC region. These include the lack of IRD database/registry in one-third of centres, a substantial proportion of patients remaining genetically undiagnosed, and limited availability of genetic counsellors. The findings also underscore a need to harmonise investigations for evaluating retinal function and identify areas for improvement in the provision of low-vision rehabilitation services., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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49. Adaptive selection at G6PD and disparities in diabetes complications.
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Breeyear JH, Hellwege JN, Schroeder PH, House JS, Poisner HM, Mitchell SL, Charest B, Khakharia A, Basnet TB, Halladay CW, Reaven PD, Meigs JB, Rhee MK, Sun Y, Lynch MG, Bick AG, Wilson OD, Hung AM, Nealon CL, Iyengar SK, Rotroff DM, Buse JB, Leong A, Mercader JM, Sobrin L, Brantley MA Jr, Peachey NS, Motsinger-Reif AA, Wilson PW, Sun YV, Giri A, Phillips LS, and Edwards TL
- Subjects
- Humans, Glycated Hemoglobin metabolism, Male, Female, Black People genetics, Polymorphism, Single Nucleotide, Middle Aged, Blood Glucose metabolism, Glucosephosphate Dehydrogenase genetics, Glucosephosphate Dehydrogenase Deficiency genetics, Glucosephosphate Dehydrogenase Deficiency complications, Glucosephosphate Dehydrogenase Deficiency epidemiology, Diabetic Retinopathy genetics, Diabetic Retinopathy epidemiology, Genome-Wide Association Study, Diabetes Complications genetics, Diabetes Complications epidemiology
- Abstract
Diabetes complications occur at higher rates in individuals of African ancestry. Glucose-6-phosphate dehydrogenase deficiency (G6PDdef), common in some African populations, confers malaria resistance, and reduces hemoglobin A1c (HbA1c) levels by shortening erythrocyte lifespan. In a combined-ancestry genome-wide association study of diabetic retinopathy, we identified nine loci including a G6PDdef causal variant, rs1050828 -T (Val98Met), which was also associated with increased risk of other diabetes complications. The effect of rs1050828 -T on retinopathy was fully mediated by glucose levels. In the years preceding diabetes diagnosis and insulin prescription, glucose levels were significantly higher and HbA1c significantly lower in those with versus without G6PDdef. In the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, participants with G6PDdef had significantly higher hazards of incident retinopathy and neuropathy. At the same HbA1c levels, G6PDdef participants in both ACCORD and the Million Veteran Program had significantly increased risk of retinopathy. We estimate that 12% and 9% of diabetic retinopathy and neuropathy cases, respectively, in participants of African ancestry are due to this exposure. Across continentally defined ancestral populations, the differences in frequency of rs1050828 -T and other G6PDdef alleles contribute to disparities in diabetes complications. Diabetes management guided by glucose or potentially genotype-adjusted HbA1c levels could lead to more timely diagnoses and appropriate intensification of therapy, decreasing the risk of diabetes complications in patients with G6PDdef alleles., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)
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- 2024
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50. Gene and cell therapy for age-related macular degeneration: A review.
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Trincão-Marques J, Ayton LN, Hickey DG, Marques-Neves C, Guymer RH, Edwards TL, and Sousa DC
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- Humans, Cell- and Tissue-Based Therapy methods, Macular Degeneration therapy, Wet Macular Degeneration therapy, Wet Macular Degeneration diagnosis, Geographic Atrophy therapy, Geographic Atrophy diagnosis, Genetic Therapy methods
- Abstract
Age-related macular degeneration (AMD) is the most common cause of irreversible vision loss among the elderly in Western communities, with an estimated global prevalence of 10 - 20% in people older than 65 years. AMD leads to central vision loss due to degeneration of the photoreceptors, retinal pigment epithelium and the choriocapillaris. Beckman's classification for AMD, based upon color fundus photographs, divides the disease into early, intermediate, and late forms. The late, vision-threatening stage includes both neovascular AMD and geographic atrophy. Despite its high prevalence and impact on patients' quality of life, treatment options for AMD are limited. While neovascular AMD can be medically managed with anti-VEGF intravitreal injections, until very recently there has been no approved treatment options for atrophic AMD; however, in February 2023 the first treatment for geographic atrophy - pegcetacoplan - was approved by the US FDA. We describe the current landscape of potential gene and cell therapeutic strategies for late-stage AMD, with an emphasis on the therapeutic options that might become available in the next few years., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be consideredas potential competing interests: LNA: Consultant: Apellis, Novartis. Investigator: Gyroscope, Belite, Nacuity, Janssen. RHG consultant Apellis, Novartis Roche, Genentech, Bayer.: TLE: Consultant: Novartis. Investigator: Gyroscope, Belite, Nacuity, Janssen. DCS - Co-investigator: Gyroscope, Belite, Nacuity, Janssen., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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