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2011 1
2014 3
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2017 10
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2020 23
2021 27
2022 17
2023 18
2024 10

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Page 1
Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies.
Nalls MA, Blauwendraat C, Vallerga CL, Heilbron K, Bandres-Ciga S, Chang D, Tan M, Kia DA, Noyce AJ, Xue A, Bras J, Young E, von Coelln R, Simón-Sánchez J, Schulte C, Sharma M, Krohn L, Pihlstrøm L, Siitonen A, Iwaki H, Leonard H, Faghri F, Gibbs JR, Hernandez DG, Scholz SW, Botia JA, Martinez M, Corvol JC, Lesage S, Jankovic J, Shulman LM, Sutherland M, Tienari P, Majamaa K, Toft M, Andreassen OA, Bangale T, Brice A, Yang J, Gan-Or Z, Gasser T, Heutink P, Shulman JM, Wood NW, Hinds DA, Hardy JA, Morris HR, Gratten J, Visscher PM, Graham RR, Singleton AB; 23andMe Research Team; System Genomics of Parkinson's Disease Consortium; International Parkinson's Disease Genomics Consortium. Nalls MA, et al. Lancet Neurol. 2019 Dec;18(12):1091-1102. doi: 10.1016/S1474-4422(19)30320-5. Lancet Neurol. 2019. PMID: 31701892 Free PMC article.
We found significant genetic correlations with brain volumes (false discovery rate-adjusted p=0.0035 for intracranial volume, p=0.024 for putamen volume), smoking status (p=0.024), and educational attainment (p=0.038). Mendelian randomisation between cognitive performance …
We found significant genetic correlations with brain volumes (false discovery rate-adjusted p=0.0035 for intracranial volume, p=0.024 for pu …
Whole-genome sequencing of patients with rare diseases in a national health system.
Turro E, Astle WJ, Megy K, Gräf S, Greene D, Shamardina O, Allen HL, Sanchis-Juan A, Frontini M, Thys C, Stephens J, Mapeta R, Burren OS, Downes K, Haimel M, Tuna S, Deevi SVV, Aitman TJ, Bennett DL, Calleja P, Carss K, Caulfield MJ, Chinnery PF, Dixon PH, Gale DP, James R, Koziell A, Laffan MA, Levine AP, Maher ER, Markus HS, Morales J, Morrell NW, Mumford AD, Ormondroyd E, Rankin S, Rendon A, Richardson S, Roberts I, Roy NBA, Saleem MA, Smith KGC, Stark H, Tan RYY, Themistocleous AC, Thrasher AJ, Watkins H, Webster AR, Wilkins MR, Williamson C, Whitworth J, Humphray S, Bentley DR; NIHR BioResource for the 100,000 Genomes Project; Kingston N, Walker N, Bradley JR, Ashford S, Penkett CJ, Freson K, Stirrups KE, Raymond FL, Ouwehand WH. Turro E, et al. Nature. 2020 Jul;583(7814):96-102. doi: 10.1038/s41586-020-2434-2. Epub 2020 Jun 24. Nature. 2020. PMID: 32581362 Free PMC article.
Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and causative genes for more than half such disorders remain to be discovered(1). Here we used whole-genome sequencing (WGS) in a national health system to streamline diagno …
Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and causative genes for more than half s …
International evaluation of an AI system for breast cancer screening.
McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H, Back T, Chesus M, Corrado GS, Darzi A, Etemadi M, Garcia-Vicente F, Gilbert FJ, Halling-Brown M, Hassabis D, Jansen S, Karthikesalingam A, Kelly CJ, King D, Ledsam JR, Melnick D, Mostofi H, Peng L, Reicher JJ, Romera-Paredes B, Sidebottom R, Suleyman M, Tse D, Young KC, De Fauw J, Shetty S. McKinney SM, et al. Nature. 2020 Jan;577(7788):89-94. doi: 10.1038/s41586-019-1799-6. Epub 2020 Jan 1. Nature. 2020. PMID: 31894144
Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in breast cancer prediction. To assess its performance in the clinical setting, we curated a large representative dataset from the UK and a large enriched dataset from …
Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in breast cancer prediction. To as …
Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study.
Dixon-Suen SC, Lewis SJ, Martin RM, English DR, Boyle T, Giles GG, Michailidou K, Bolla MK, Wang Q, Dennis J, Lush M, Investigators A, Ahearn TU, Ambrosone CB, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Augustinsson A, Auvinen P, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Brenner H, Brüning T, Buys SS, Camp NJ, Campa D, Canzian F, Castelao JE, Cessna MH, Chang-Claude J, Chanock SJ, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Goldberg MS, Guénel P, Gündert M, Hahnen E, Haiman CA, Häberle L, Håkansson N, Hall P, Hamann U, Hart SN, Harvie M, Hillemanns P, Hollestelle A, Hooning MJ, Hoppe R, Hopper J, Howell A, Hunter DJ, Jakubowska A, Janni W, John EM, Jung A, Kaaks R, Keeman R, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Lacey JV, Lambrechts D, Le Marchand L, Lindblom A, Loibl S, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, Mavroudis D, Me… See abstract for full author list ➔ Dixon-Suen SC, et al. Br J Sports Med. 2022 Oct;56(20):1157-1170. doi: 10.1136/bjsports-2021-105132. Epub 2022 Sep 6. Br J Sports Med. 2022. PMID: 36328784 Free PMC article.
Proteogenomics of Non-smoking Lung Cancer in East Asia Delineates Molecular Signatures of Pathogenesis and Progression.
Chen YJ, Roumeliotis TI, Chang YH, Chen CT, Han CL, Lin MH, Chen HW, Chang GC, Chang YL, Wu CT, Lin MW, Hsieh MS, Wang YT, Chen YR, Jonassen I, Ghavidel FZ, Lin ZS, Lin KT, Chen CW, Sheu PY, Hung CT, Huang KC, Yang HC, Lin PY, Yen TC, Lin YW, Wang JH, Raghav L, Lin CY, Chen YS, Wu PS, Lai CT, Weng SH, Su KY, Chang WH, Tsai PY, Robles AI, Rodriguez H, Hsiao YJ, Chang WH, Sung TY, Chen JS, Yu SL, Choudhary JS, Chen HY, Yang PC, Chen YJ. Chen YJ, et al. Cell. 2020 Jul 9;182(1):226-244.e17. doi: 10.1016/j.cell.2020.06.012. Cell. 2020. PMID: 32649875 Free article.
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, Adachi H, Adams CM, Adams PD, Adeli K, Adhihetty PJ, Adler SG, Agam G, Agarwal R, Aghi MK, Agnello M, Agostinis P, Aguilar PV, Aguirre-Ghiso J, Airoldi EM, Ait-Si-Ali S, Akematsu T, Akporiaye ET, Al-Rubeai M, Albaiceta GM, Albanese C, Albani D, Albert ML, Aldudo J, Algül H, Alirezaei M, Alloza I, Almasan A, Almonte-Beceril M, Alnemri ES, Alonso C, Altan-Bonnet N, Altieri DC, Alvarez S, Alvarez-Erviti L, Alves S, Amadoro G, Amano A, Amantini C, Ambrosio S, Amelio I, Amer AO, Amessou M, Amon A, An Z, Anania FA, Andersen SU, Andley UP, Andreadi CK, Andrieu-Abadie N, Anel A, Ann DK, Anoopkumar-Dukie S, Antonioli M, Aoki H, Apostolova N, Aquila S, Aquilano K, Araki K, Arama E, Aranda A, Araya J, Arcaro A, Arias E, Arimoto H, Ariosa AR, Armstrong JL, Arnould T, Arsov I, Asanuma K, Askanas V, Asselin E, Atarashi R, Atherton SS, Atkin JD, Attardi LD, Auberger P, Auburger G, Aurelian L, Autelli R, Avagliano L, Avantaggiati ML, Avrahami L, Awale S, Azad N, Bachetti T, Backer JM, Bae DH, Bae JS, Bae ON, Bae SH, Baehrecke EH, Baek SH, Baghdiguian S, Bagniewska-Zadworna A, Bai H, Bai J, Bai XY, Bailly Y, Balaji KN, … See abstract for full author list ➔ Klionsky DJ, et al. Autophagy. 2016;12(1):1-222. doi: 10.1080/15548627.2015.1100356. Autophagy. 2016. PMID: 26799652 Free PMC article. No abstract available.
Utility of polygenic risk scores in UK cancer screening: a modelling analysis.
Huntley C, Torr B, Sud A, Rowlands CF, Way R, Snape K, Hanson H, Swanton C, Broggio J, Lucassen A, McCartney M, Houlston RS, Hingorani AD, Jones ME, Turnbull C. Huntley C, et al. Lancet Oncol. 2023 Jun;24(6):658-668. doi: 10.1016/S1470-2045(23)00156-0. Epub 2023 May 10. Lancet Oncol. 2023. PMID: 37178708 Free article. Review.
To address this proposition, we present an overview of the performance of PRS tools (ie, models and sets of single nucleotide polymorphisms) alongside harms and benefits of PRS-stratified cancer screening for eight example cancers (breast, prostate, colorectal, pancreas, o …
To address this proposition, we present an overview of the performance of PRS tools (ie, models and sets of single nucleotide polymor …
Trametinib versus standard of care in patients with recurrent low-grade serous ovarian cancer (GOG 281/LOGS): an international, randomised, open-label, multicentre, phase 2/3 trial.
Gershenson DM, Miller A, Brady WE, Paul J, Carty K, Rodgers W, Millan D, Coleman RL, Moore KN, Banerjee S, Connolly K, Secord AA, O'Malley DM, Dorigo O, Gaillard S, Gabra H, Slomovitz B, Hanjani P, Farley J, Churchman M, Ewing A, Hollis RL, Herrington CS, Huang HQ, Wenzel L, Gourley C. Gershenson DM, et al. Lancet. 2022 Feb 5;399(10324):541-553. doi: 10.1016/S0140-6736(21)02175-9. Lancet. 2022. PMID: 35123694 Free PMC article. Clinical Trial.
Randomisation was stratified by geographical region (USA or UK), number of previous regimens (1, 2, or 3), performance status (0 or 1), and planned standard-of-care regimen. The primary endpoint was investigator-assessed progression-free survival while receiving randomised …
Randomisation was stratified by geographical region (USA or UK), number of previous regimens (1, 2, or 3), performance status (0 or 1 …
Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis using UK Biobank data: population based cohort study.
Briggs SEW, Law P, East JE, Wordsworth S, Dunlop M, Houlston R, Hippisley-Cox J, Tomlinson I. Briggs SEW, et al. BMJ. 2022 Nov 9;379:e071707. doi: 10.1136/bmj-2022-071707. BMJ. 2022. PMID: 36351667 Free PMC article.
The top performing genome-wide polygenic risk score and the score containing genome-wide significant polymorphisms were combined with QCancer-10 and performance was compared with QCancer-10 alone. Case-control (logistic regression) and time-to-event (Cox proportional hazar …
The top performing genome-wide polygenic risk score and the score containing genome-wide significant polymorphisms were combined with QCance …
Genetic mechanisms of critical illness in COVID-19.
Pairo-Castineira E, Clohisey S, Klaric L, Bretherick AD, Rawlik K, Pasko D, Walker S, Parkinson N, Fourman MH, Russell CD, Furniss J, Richmond A, Gountouna E, Wrobel N, Harrison D, Wang B, Wu Y, Meynert A, Griffiths F, Oosthuyzen W, Kousathanas A, Moutsianas L, Yang Z, Zhai R, Zheng C, Grimes G, Beale R, Millar J, Shih B, Keating S, Zechner M, Haley C, Porteous DJ, Hayward C, Yang J, Knight J, Summers C, Shankar-Hari M, Klenerman P, Turtle L, Ho A, Moore SC, Hinds C, Horby P, Nichol A, Maslove D, Ling L, McAuley D, Montgomery H, Walsh T, Pereira AC, Renieri A; GenOMICC Investigators; ISARIC4C Investigators; COVID-19 Human Genetics Initiative; 23andMe Investigators; BRACOVID Investigators; Gen-COVID Investigators; Shen X, Ponting CP, Fawkes A, Tenesa A, Caulfield M, Scott R, Rowan K, Murphy L, Openshaw PJM, Semple MG, Law A, Vitart V, Wilson JF, Baillie JK. Pairo-Castineira E, et al. Nature. 2021 Mar;591(7848):92-98. doi: 10.1038/s41586-020-03065-y. Epub 2020 Dec 11. Nature. 2021. PMID: 33307546 Free article.
134 results