dataesr/scientific-paragraphs-categorization huggingface dataset:
B58C: We acknowledge use of phenotype and genotype data from the British 1958 Birth Cohort DNA collection, funded by the  Medical Research Council  grant  G0000934  and the  Wellcome Trust  grant  068545/Z/02. Genotyping for the B58C-WTCCC subset was funded by the  Wellcome Trust  grant  076113/B/04/Z. The  B58C-T1DGC  genotyping used resources provided by the  Type 1 Diabetes Genetics Consortium , a collaborative clinical study sponsored by the  National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) ,  National Institute of Allergy and Infectious Diseases (NIAID) ,  National Human Genome Research Institute (NHGRI) ,  National Institute of Child Health and Human Development (NICHD) , and  Juvenile Diabetes Research Foundation International (JDRF)  and supported by  U01 DK062418.
B58C-T1DGC  GWAS data were deposited by the  Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research (CIMR), University of Cambridge , which is funded by  Juvenile Diabetes Research Foundation International , the  Wellcome Trust , and the  National Institute for Health Research Cambridge Biomedical Research Centre ; the  CIMR  is in receipt of a  Wellcome Trust   Strategic Award  ( 079895 ). The B58C-GABRIEL genotyping was supported by a contract from the  European Commission   Framework Programme 6 (018996)  and grants from the  French Ministry of Research. CHS: This CHS research was supported by  NHLBI  contracts  HHSN268201200036C ,  HHSN268200800007C ,  N01HC55222 ,  N01HC85079 ,  N01HC85080 ,  N01HC85081 ,  N01HC85082 ,  N01HC 85083 ,  N01HC85086 , and  HHSN268200960009C  and  NHLBI  grants  U01HL080295 ,  R01HL087652 ,  R01HL105756 ,  R01HL103612 ,  R01HL120393 , and  R01HL130114 , with additional contribution from the  National Institute of Neurological Disorders and Stroke (NINDS).
C. We address special thanks to the populations of Cilento for their participation in the study. September 2017 COLAUS: The CoLaus study was and is supported by research grants from  GlaxoSmithKline (GSK) , the  Faculty of Biology and Medicine of Lausanne , and the  Swiss National Science Foundation  (grants  3200B0-105993 ,  3200B0-118308 ,  33CSCO-122661 , and  33CS30-139468 ). We thank all participants, involved physicians, and study nurses to the CoLaus cohort. COROGENE_CTRL: This study has been funded by the  Academy of Finland  (grant numbers  139635 ,  129494 ,  118065 ,  129322 , and  250207 ), the  Orion-Farmos Research Foundation , the  Finnish Foundation for Cardiovascular Research , and the  Sigrid Jusélius Foundation. We are grateful for the  THL DNA laboratory  for its skillful work to produce the DNA samples used in this study.
We thank the  Sanger Institute genotyping  facilities for genotyping the samples. CROATIA Studies: The  CROATIA-Vis, CROATIA-Korcula , and  CROATIA-Split studies in the Croatian islands of Vis and Korcula and mainland city of Split  were supported by grants from the  Medical Research Council (UK) ; the  Ministry of Science, Education, and Sport of the Republic of Croatia  (grant number  216-1080315-0302 ); the  European Union  framework program 6 European Special  Populations Research Network  project (contract  LSHG-CT-2006-018947 ); the  European Union  framework program 7 project  BBMRI-LPC (FP7 313010 ); and the  Croatian Science Foundation  (grant  8875 ). The CROATIA studies acknowledge the invaluable contributions of the recruitment teams (including those from the  Institute of Anthropological Research in Zagreb) in Vis, Korcula , and Split, the administrative teams in Croatia and Edinburgh, and the people of Vis, Korcula, and Split.
SNP genotyping of the CROATIA-Vis samples was performed by the  Genetics Core Laboratory  at the  Wellcome Trust Clinical Research Facility, WGH, Edinburgh, Scotland. SNP genotyping for CROATIA-Korcula was performed by  Helmholtz ZentrumMünchen ,  GmbH, Neuherberg, Germany. The SNP genotyping for the CROATIA-Split cohort was performed by  AROS Applied Biotechnology, Aarhus, Denmark. ERF: The ERF study as a part of EUROSPAN (European Special Populations Research Network) was supported by  European Commission   FP6 STRP  grant number  018947  ( LSHG-CT-2006-01947 ) and also received funding from the  European Community 's  Seventh Framework Programme  ( FP7/2007-2013) /grant agreement HEALTH-F4-2007-201413 by the  European Commission  under the programme " Quality of Life and Management of the Living Resources" of 5th Framework Programme  (no.
The  Fenland Study  is funded by the  Wellcome Trust  and the  Medical Research Council  ( MC_ U106179471 ). We are grateful to all the volunteers for their time and help and to the General Practitioners and practice staff for assistance with recruitment. We thank the  Fenland Study Investigators, Fenland Study Co-ordination team  and the  Epidemiology Field, Data and Laboratory teams. We further acknowledge support from the  Medical Research Council  ( MC_UU_12015/1 ). FHS: The  National Heart, Lung and Blood Institute's Framingham Heart Study  is supported by contract  N01-HC-25195. FINRISK_PREDICT_CVD: This study has been funded by the  Academy of Finland  (grant numbers  139635 ,  129494 ,  118065 ,  129322 ,  250207 , and  269517 ), the  Orion-Farmos Research Foundation , the  Finnish Foundation for Cardiovascular Research , and the  Sigrid Jusélius Foundation.
C. P. Nelson  and  N. J. Samani  are supported by the  British Heart Foundation , and  N. J. Samani  is an  NIHR Senior Investigator. This work falls under the portfolio of research supported by the  NIHR Leicester Cardiovascular Biomedical Research Unit. H2000: The Health 2000 Study was funded by the  National Institute for Health and Welfare (THL) , the  Finnish Centre for Pensions (ETK) , the  Social Insurance Institution of Finland (KELA) , the  Local Government Pensions Institution (KEVA) , and other organizations listed on the website of the survey (http://www. terveys2000. fi). We are grateful for the  THL DNA laboratory  for its skillful work to produce the DNA samples used in this study. We thank the  Sanger Institute genotyping  facilities for genotyping the GenMets subcohort. HABC: The  Health ABC Study  was supported by  NIA  contracts  N01AG62101 ,  N01AG62103 , and  N01AG62106  and, in part, by the  NIA   Intramural Research Program.
Gasparini  and  RC2008  to  P. Gasparini. JUPITER: Genetic analysis in the JUPITER trial was funded by a grant from  AstraZeneca  ( D. I. Chasman  and  P. M. Ridker ,  Co-Pis ). KORA S3: KORA  S3 500K  blood pressure project was supported by  Estonian Research Council , grant  IUT34-12  (for M. Laan). The KORA Augsburg studies have been financed by the  Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg, Germany , and supported by grants from the  German Federal Ministry of Education and Research (BMBF). The KORA study group consists of H. -E. Wichmann (speaker),  A. Peters ,  C. Meisinger ,  T. Illig ,  R. Holle ,  J. John , and coworkers who are responsible for the design and conduct of the KORA studies. Part of this work was financed by the  German National Genome Research Network  ( NGFN-2  and NGFNPlus: 01GS0823 ) and supported within the  Munich Center of Health Sciences (MC Health ) as part of LMUinnovativ.
LBC1921: Phenotype collection in the Lothian Birth Cohort 1921 was supported by the  UK's Biotechnology and Biological Sciences Research Council (BBSRC) ,  The Royal Society , and  The Chief Scientist Office of the Scottish Government. Genotyping was funded by the  BBSRC. The work was undertaken by  The University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology , part of the cross council  Lifelong Health  and  Wellbeing Initiative  ( MR/K026992/1 ). Funding from the  BBSRC and Medical Research Council (MRC)  is gratefully acknowledged. We thank the Lothian Birth Cohort 1921 participants and team members who contributed to these studies. LBC1936: Phenotype collection in the Lothian Birth Cohort 1936 was supported by  Age UK  (The Disconnected Mind project). Genotyping was funded by the  BBSRC.
The work was undertaken by  The University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology , part of the cross council  Lifelong Health  and  Wellbeing Initiative  ( MR/K026992/1 ). Funding from the  BBSRC and Medical Research Council (MRC)  is gratefully acknowledged. We thank the Lothian Birth Cohort 1936 participants and team members who contributed to these studies. Lifelines Cohort Study: The  Lifelines Cohort Study and generation and management of GWAS genotype data for the Lifelines Cohort Study  is supported by the  Netherlands Organization of Scientific Research NWO  (grant  175. 010. 2007. 006 ), the  Economic Structure Enhancing Fund (FES) of the Dutch government , the  Ministry of Economic Affairs , the  Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports , the  Northern Netherlands Collaboration of Provinces (SNN) , the  Province of Groningen, University Medical Center Groningen , the  University of Groningen ,  Dutch Kidney Foundation , and  Dutch Diabetes Research Foundation.
We acknowledge the services of the  Lifelines Cohort Study , the contributing research centers delivering data to Lifelines, and all the study participants. LOLIPOP: The LOLIPOP study is funded by the  British Heart Foundation  ( SP/04/002 ), the  Medical Research Council  ( G0601966  and  G0700931 ), the  Wellcome Trust  ( 084723/Z/08/Z ), the  NIHR  ( RP-PG-0407-10371 ),  European Union   FP7  (EpiMigrant,  279143 ), and  Action on Hearing Loss  ( G51 ). The LOLIPOP study is supported by the  National Institute for Health Research (NIHR) Comprehensive Biomedical Research Centre Imperial College Healthcare NHS Trust. The work was performed in part at the  NIHR/Wellcome Trust Imperial Clinical Research Facility. We thank the participants and research staff who made the study possible. MESA: This research was supported by the  Multi-Ethnic Study of Atherosclerosis (MESA)  contracts  N01-HC-95159 ,  N01-HC-95160 ,  N01-HC-95161 ,  N01-HC-95162 ,  N01-HC-95163 ,  N01-HC-95164 ,  N01-HC-95165 ,  N01-HC-95166 ,  N01-HC-95167 ,  N01-HC-95168 , and  N01-HC-95169  and by grants  UL1-TR-000040  and  UL1-RR-025005  from  NCRR.
NESDA: Funding was obtained from the  Netherlands Organization for Scientific Research  ( Geestkracht program  grant  10-000-1002 ); the  Center for Medical Systems Biology (CSMB, NOW Genomics), Biobanking and Biomolecular Resources Research Infrastructure  ( BBMRI-NL ),  VU University's Institutes for Health and Care Research (EMGO+)  and  Neuroscience Campus Amsterdam, University Medical Center Groningen, Leiden University Medical Center , and  National Institutes of Health (NIH ,  R01D0042157-01A ,  MH081802 ,  Grand Opportunity  grants  1RC2 MH089951  and  1RC2 MH089995 ). Part of the genotyping and analyses were funded by the  Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health. Computing was supported by  BiG Grid , the  Dutch e-Science Grid , which is financially supported by  NWO.
NSPHS: The  Northern Swedish Population Health Study (NSPHS)  was funded by the  Swedish Medical Research Council  (Project Number  K2007-66X-20270-01-3 ,  2011-5252 ,  2012-2884 , and  2011-2354 ), the  Foundation for Strategic Research (SSF ). NSPHS as part of EUROSPAN (European Special Populations Research Network) was also supported by the  European Commission   FP6 STRP  grant number  01947  ( LSHG-CT-2006-01947 ). This work has also been supported by the  Swedish Society for Medical Research (SSMF)  and the  Swedish Medical Research Council  (No. 2015-03327 ) We are grateful for the contribution of district nurse  Svea Hennix  for data collection and  Inger Jonasson  for logistics and coordination of the health survey. We also thank all the participants from the community for their interest and willingness to contribute to this study.
2013-024 ),  Swedish Research Council  (grant no. 2012-1397 ), and  Swedish Heart-Lung Foundation  ( 20120197 ). The computations were performed on resources provided by  SNIC  through  Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)  under Project  b2011036. Genetic data analysis was funded by the  Wellcome Trust  under awards  WT098017  and  WT090532. We thank the  SNP&SEQ Technology Platform in Uppsala  (www. genotyping. se)for excellent genotyping. PROCARDIS: PROCARDIS was supported by the  European Community Sixth Framework Program  ( LSHM-CT-2007-037273 ),  AstraZeneca , the  British Heart Foundation , the  Swedish Research Council , the  Knut and Alice Wallenberg Foundation , the  Swedish Heart-Lung Foundation , the  Torsten and Ragnar Söderberg Foundation , the  Strategic Cardiovascular Program of Karolinska Institutet and Stockholm County Council , the  Foundation for Strategic Research , and the  Stockholm County Council  ( 560283 ).
M. F. and  H. Watkins  acknowledge the support of the  Wellcome Trust   core award  ( 090532/Z/09/Z ) and the  BHF Centre of Research Excellence  ( RE/13/1/30181 ). A. Goel  and  H. Watkins   acknowledge European Union Seventh Framework Programme   FP7/2007-2013  under grant agreement no. HEALTH-F2-2013-601456  ( CVGenes@ Target)  and  A. Goel  acknowledge the  Wellcome Trust  Institutional strategic support fund. PROSPER: The PROSPER study was supported by an investigator-initiated grant obtained from  Bristol-Myers Squibb. Dr J. W. Jukema  is an Established Clinical Investigator of the  Netherlands Heart Foundation  (grant  2001 D 032 ). Support for genotyping was provided by the seventh framework program of the European commission (grant  223004 ) and by the  Netherlands Genomics Initiative (Netherlands Consortium for Healthy Aging  grant  050-060-810 ).
RS: The generation and management of  GWAS genotype data for the Rotterdam Study (RS I, RS II, RS III)  was executed by the  Human Genotyping Facility of the Genetic Laboratory  of the  Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. The GWAS data sets are supported by the  Netherlands Organisation of Scientific Research NWO Investments  (no. 175. 010. 2005. 011 , 911-03-012 ), the  Genetic Laboratory of the Department of Internal Medicine, Erasmus MC , the  Research Institute for Diseases in the Elderly  ( 014-93-015 ;  RIDE2 ), the  Netherlands Genomics Initiative (NGI) / Netherlands Organisation for Scientific Research (NWO) Netherlands Consortium for Healthy Aging (NCHA) , project no. 050-060-810. The  Rotterdam Study  is funded by  Erasmus Medical Center  and  Erasmus University, Rotterdam ,  Netherlands, Organization for the Health Research and Development (ZonMw) , the  Research Institute for Diseases in the Elderly (RIDE) , the  Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports , the  European Commission (DG XII) , and the  Municipality of Rotterdam.
We thank  Pascal Arp , Mila Jhamai,  Marijn Verkerk ,  Lizbeth Herrera , and  Marjolein Peters ,  MSc , and  Carolina Medina-Gomez, MSc , for their help in creating the GWAS database, and  Karol Estrada, PhD ,  Yurii Aulchenko, PhD , and  Carolina Medina-Gomez, MSc , for the creation and analysis of imputed data. We are grateful to the study participants, the staff from the  Rotterdam Study , and the participating general practitioners and pharmacists. SHIP: SHIP is part of the  Community Medicine Research net of the University of Greifswald, Germany , which is funded by the  Federal Ministry of Education and Research  (grants no. 01ZZ9603 ,  01ZZ0103 , and  01ZZ0403 ), the  Ministry of Cultural Affairs , as well as the  Social Ministry of the Federal State of Mecklenburg-West Pomerania , and the  network 'Greifswald Approach to Individualized Medicine (GANI_MED) ' funded by the  Federal Ministry of Education and Research  (grant  03IS2061A ).
"This work was supported by the  National Foundation for Alzheimer's Disease and Related Disorders , the  Institut Pasteur de Lille , the  Centre National de Génotypage , and the  LABEX (Laboratory of Excellence program  investment for the future)  DISTALZ-Development of Innovative Strategies  for a Transdisciplinary approach to Alzheimer's disease. G. Chauhan ,  C. Tzourio , and  S. Debette  are supported by a grant from the  Fondation Leducq. We thank  Philippe Amouyel  and the  UMR1167 Inserm Univ Lille Institut Pasteur de Lille  for providing the 3C Dijon cohort SNP replication data funded by a grant from the  French National Foundation on Alzheimer 's disease and related disorders. UKHLS: These data are from Understanding Society: The  UK Household Longitudinal Study , which is led by the  Institute for Social and Economic Research at the University of Essex  and funded by the  Economic and Social Research Council.
2013-024 ),  Swedish Research Council  (grant no. 2012-1397 ), and  Swedish Heart-Lung Foundation  (20120197). We thank the  SNP&SEQ Technology Platform in Uppsala  (www. genotyping. se)for excellent genotyping. The computations were performed on resources provided by  SNIC  through  Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)  under Project b2011036. TwinsUK: The study was funded by the  Wellcome Trust ; European Community's  Seventh Framework Programme  (FP7/2007-2013). The study also receives support from the  National Institute for Health Research (NIHR) BioResource Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London  (guysbrc-2012-1). We thank the staff from the Genotyping Facilities at the  Wellcome Trust Sanger Institute  for sample preparation, quality control, and genotyping;  Le Centre National de Génotypage, France , for genotyping;  Duke University, NC , for genotyping; and the  Finnish Institute of Molecular Medicine, Finnish Genome Center, University of Helsinki.
Genotyping was also done by CIDR as part of an  NEI/NIH  project grant. UK Biobank_Cardiometabolic  Consortium: This research has been conducted using the  UK Biobank Resource  under application number  236. H. R. Warren ,  C. P. Cabrera , and  M. R. Barnes  were funded by the  National Institutes for Health Research (NIHR)  as part of the portfolio of translational research of the  NIHR Biomedical Research Unit at Barts. M. Ren  was funded by the  National Institute for Health Research (NIHR) Biomedical Research Unit in Cardiovascular Disease at Barts. M. Ren  is recipient from  China Scholarship Council  (No. 2011632047 ). B. Mifsud holds an  MRC eMedLab Medical Bioinformatics Career Development Fellowship , funded from award  MR/L016311/1. P. Elliott was funded by the  National Institutes for Health Research (NIHR) Imperial College Health Care NHS Trust and Imperial College London Biomedical Research Centre , the  UK Medical Research Council and Public Health England  as Director of the  MRC-PHE Centre for Environment and Health , and the  NIHR Health Protection Research Unit on the Health Effects of Environmental Hazards.
Some of this work used computing resources provided by the  Medical Research Council-funded UK MEDical Bioinformatics partnership programme (UK MED-BIO)  ( MR/L01632X/1 ). ULSAM: This project was supported by  Knut and Alice Wallenberg Foundation  (Wallenberg Academy Fellow),  European Research Council  ( ERC Starting Grant ),  Swedish Diabetes Foundation  (grant no. 2013-024 ),  Swedish Research Council  (grant no. 2012-1397 ), and  Swedish Heart-Lung Foundation  ( 20120197 ). The computations were performed on resources provided by  SNIC  through  Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)  under Project  b2011036. Genotyping was funded by the  Wellcome Trust  under award WT064890. Analysis of genetic data was funded by the  Wellcome Trust  under awards  WT098017  and  WT090532.
After complete fractionation, peptide samples were recovered from each well, dried in a vacuum concentrator, and then desalted using C18 ZipTips (Millipore, MA, USA). 2. 5. Reversed Phase Nanoliquid Chromatography. Further peptide separation was performed on an Ultimate 3000 C18 reversed phase nanoliquid chromatography (RP-nanoLC) system (Ultimate 3000, Dionex/Thermo Scientific) controlled by Chromeleon v. 6. 80 software (Dionex/Thermo Scientific/LC Packings, Amsterdam, The Netherlands) and coupled with a PROBOT MALDI spotting device controlled by the μCarrier 2. 0 software (Dionex/Thermo Scientific/LC Packings, Amsterdam, The Netherlands). Vacuum dried fractions were resuspended in buffer A (98% water, 2% ACN, and 0. 05% TFA) before injection on a nanotrapping column (C18, 3 μm, 100 Å pore size; LC Packing) in 2% ACN and 0.
2. 6. MALDI-TOF/TOF Analysis. MS and MS/MS analysis of nanoLC-off-line spotted peptide samples was performed using the 4800 MALDI-TOF/TOF mass spectrometer (Sciex, Les Ulis, France) controlled by the 4000 Series Explorer software v. 3. 5. The mass spectrometer was operated in a positive reflector mode. Each spectrum was externally calibrated using the Peptide Calibration Standard II (Bruker Daltonics, Bremen, Germany), and the peptide mass tolerance was set to 50 ppm. MS spectra were acquired in a m/z 700-4000 range. Up to 30 of the most intense ions per spot position characterized by a S/N (signal/noise) ratio higher than 40 were chosen for MS/MS analysis. Selected ions were activated by using CID (collision-induced dissociation) in order to obtain the corresponding MS/MS spectrum. 2. 7. Analysis of iTRAQ Data.
MS and MS/MS spectra were used for identification and relative quantitation by using ProteinPilot™ software v 4. 0 with the Paragon™ (Sciex, Les Ulis, France) and Mascot (Matrix Science, London, UK) search engines. The analysis was performed with the Uni-ProtKB database released on June 2015, and the taxonomy was limited to Homo sapiens. Concerning Paragon search engine, the search effort was set to "Thorough ID" and the False Discovery Rate Analysis (FDR) of 1% was applied. For quantification, bias and background correction was applied and only quantified proteins with at least 1 peptide at the 95% peptide confidence level were included. For Mascot search engine, the FDR was set lower than 1% and only peptides with a score higher than 30 were considered. Data were merged at the peptide level after Paragon and Mascot analysis.
In order to obtain a high-quality quantitative analysis, we analyzed our data with the R package Isobar  [21]  which allows the determination of statistical significance of protein/peptide regulation. A normal fit was used and only proteins which ratio had a p value ratio and a p value sample <0. 05 are then considered as significantly differently expressed depending on age. For output of our quantitative iTRAQ results, all protein ratios were expressed as elderly over young (117 : 113) to present relative protein quantification ratios. A summary of the parameters applied for the mass data analysis is presented in Supplemental Data (Table  S1 ) available online at https://doi. org/10. 1155/2017/5140360. 2. 8. Gene Ontology and Pathway Analysis. Gene ontology and protein function analysis were performed using PANTHER (http://www.
After washing in TBS-Tween 0. 5%, membranes were incubated with HRP conjugated secondary antibodies (Amersham ECL anti-mouse IgG HRP-linked, whole antibody, GE Healthcare) for 1 h at RT. Membranes were then washed in TBS-Tween 0. 5%, and blot images were acquired on Molecular Imager Gel Doc XR+ and Chemidoc XRS+ Systems (Biorad). Specific detected bands were quantified with Image LAb 2. 0 Software (Biorad), and corresponding intensities were normalized with total protein content and expressed as a ratio. Western blot results of tubulin beta-3 chain were illustrated by box plots, and receiver operating characteristic curve (ROC curve) was created by using GraphPad Prism version 7. 00 for Windows (GraphPad Software, La Jolla California USA, http://www. graphpad. com).