1. Associations of ABO and Rhesus D blood groups with phenome-wide disease incidence: A 41-year retrospective cohort study of 482,914 patients

    This article has 5 authors:
    1. Peter Bruun-Rasmussen
    2. Morten Hanefeld Dziegiel
    3. Karina Banasik
    4. Pär Ingemar Johansson
    5. Søren Brunak
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This important analysis helps to shed light on the relationship between blood type and the occurrence of ICD-based phenotypes in a hospital setting. A particularly compelling strength is the analysis' reliance on a population-based patient registry. The results would be further strengthened by an exploration as to whether these phenotypes are driven by patient characteristics (e.g. ethnicity, SES) and not just blood type. Additionally, differences across blood types are driven, in part, by differences in prevalence, somewhat limiting the scope of the analytical findings.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  2. Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults

    This article has 7 authors:
    1. Charumathi Sabanayagam
    2. Feng He
    3. Simon Nusinovici
    4. Jialiang Li
    5. Cynthia Lim
    6. Gavin Tan
    7. Ching Yu Cheng
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      There is an urgent need to improve prognostication of diabetic kidney disease in different diverse populations so this study is valuable in identifying specific predictive factors in a cohort of South East Asian populations whose baseline risk is higher. There are some limitations: the assumptions the authors make and the methods would benefit from some more investigation/validation.

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    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  3. Long term intrinsic cycling in human life course antibody responses to influenza A(H3N2): an observational and modeling study

    This article has 13 authors:
    1. Bingyi Yang
    2. Bernardo García-Carreras
    3. Justin Lessler
    4. Jonathan M Read
    5. Huachen Zhu
    6. C Jessica E Metcalf
    7. James A Hay
    8. Kin O Kwok
    9. Ruiyun Shen
    10. Chao Q Jiang
    11. Yi Guan
    12. Steven Riley
    13. Derek A Cummings
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This manuscript follows the still unanswered concept of 'original antigenic sin' and shows the existence of a 24-year periodicity of the immune response against influenza H3N2. The valuable work suggests a long-term periodicity of individual antibody response to influenza A (H3N2) within a city. But, to substantiate their argument, the authors would need to to provide additional supporting data.

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    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  4. Approximating missing epidemiological data for cervical cancer through Footprinting: A case study in India

    This article has 4 authors:
    1. Irene Man
    2. Damien Georges
    3. Maxime Bonjour
    4. Iacopo Baussano
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This work presents a framework for estimating missing data on cervical cancer epidemiology. If properly validated, it could help determine missing data in regions where data are scarce. The work will be of broad interest to researchers and policymakers evaluating cervical cancer prevention measures.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  5. Phylodynamics of SARS-CoV-2 in France, Europe, and the world in 2020

    This article has 15 authors:
    1. Romain Coppée
    2. François Blanquart
    3. Aude Jary
    4. Valentin Leducq
    5. Valentine Marie Ferré
    6. Anna Maria Franco Yusti
    7. Léna Daniel
    8. Charlotte Charpentier
    9. Samuel Lebourgeois
    10. Karen Zafilaza
    11. Vincent Calvez
    12. Diane Descamps
    13. Anne-Geneviève Marcelin
    14. Benoit Visseaux
    15. Antoine Bridier-Nahmias
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study represents an important contribution to our understanding of SARS-CoV-2 transmission dynamics in France, Europe and globally during the early pandemic in 2020. Through evaluation of the contributions of intra- and inter-regional transmission at global, continental, and domestic levels, the authors explore how international travel restrictions reduced inter-regional transmission while permitting increased transmission intra-regionally. Unfortunately, at this time this work suffers from a number of serious analytical shortcomings, all of which can be overcome with major revisions and re-analysis.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  6. Nationwide participation in FIT-based colorectal cancer screening in Denmark during the COVID-19 pandemic: An observational study

    This article has 6 authors:
    1. Tina Bech Olesen
    2. Henry Jensen
    3. Henrik Møller
    4. Jens Winther Jensen
    5. Berit Andersen
    6. Morten Rasmussen
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      The authors convincingly demonstrate that, in the absence of any shutdowns, the Danish colorectal cancer screening program experienced only minor decreases in program participation during the COVID-19 pandemic period. This likely ensured ongoing program effectiveness in detecting early colorectal cancers and precancerous polyps. The evidence is solid, as the national screening database was used and only a small proportion of participants were excluded.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
  7. Participation in the nationwide cervical cancer screening programme in Denmark during the COVID-19 pandemic: An observational study

    This article has 6 authors:
    1. Tina Bech Olesen
    2. Henry Jensen
    3. Henrik Møller
    4. Jens Winther Jensen
    5. Marianne Waldstrøm
    6. Berit Andersen
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This article shows how the COVID-19 pandemic affected cervical cancer screening participation in the organized screening program of Denmark. Through registry data covering the entire population, the study shows that while short-term (90 days) participation after invitation dropped, long-term (365 days) participation remained stable. These results will be of interest to public health specialists and researchers working on pandemic recovery efforts related to cancer screening worldwide.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
  8. Sparse dimensionality reduction approaches in Mendelian randomisation with highly correlated exposures

    This article has 4 authors:
    1. Vasileios Karageorgiou
    2. Dipender Gill
    3. Jack Bowden
    4. Verena Zuber
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This paper is of broad interest to infer the causal effect of exposures on outcomes. It proposed an interesting idea for the identification of risk factors amongst highly correlated traits in a Mendelian randomization paradigm. The intuition for this method is clearly presented. However, critical details about implementation are missing and its application is not sufficiently demonstrated in the current form.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  9. Weakening of the cognition and height association from 1957 to 2018: Findings from four British birth cohort studies

    This article has 4 authors:
    1. David Bann
    2. Liam Wright
    3. Neil M Davies
    4. Vanessa Moulton
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This paper provides valuable evidence for a weakening of the association between cognitive ability and height from 1957 to 2018 in the UK. The authors find the strength of the association declined over this time frame. These associations were further attenuated after accounting for proxy measures of social class. This paper is a solid contribution to debates about how genetic, environmental, and social factors have affected the joint distribution of height and cognitive ability over the last 60 years.

    Reviewed by eLife

    This article has 5 evaluationsAppears in 1 listLatest version Latest activity
  10. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

    This article has 129 authors:
    1. Katharine Sherratt
    2. Hugo Gruson
    3. Rok Grah
    4. Helen Johnson
    5. Rene Niehus
    6. Bastian Prasse
    7. Frank Sandmann
    8. Jannik Deuschel
    9. Daniel Wolffram
    10. Sam Abbott
    11. Alexander Ullrich
    12. Graham Gibson
    13. Evan L Ray
    14. Nicholas G Reich
    15. Daniel Sheldon
    16. Yijin Wang
    17. Nutcha Wattanachit
    18. Lijing Wang
    19. Jan Trnka
    20. Guillaume Obozinski
    21. Tao Sun
    22. Dorina Thanou
    23. Loic Pottier
    24. Ekaterina Krymova
    25. Jan H Meinke
    26. Maria Vittoria Barbarossa
    27. Neele Leithauser
    28. Jan Mohring
    29. Johanna Schneider
    30. Jaroslaw Wlazlo
    31. Jan Fuhrmann
    32. Berit Lange
    33. Isti Rodiah
    34. Prasith Baccam
    35. Heidi Gurung
    36. Steven Stage
    37. Bradley Suchoski
    38. Jozef Budzinski
    39. Robert Walraven
    40. Inmaculada Villanueva
    41. Vit Tucek
    42. Martin Smid
    43. Milan Zajicek
    44. Cesar Perez Alvarez
    45. Borja Reina
    46. Nikos I Bosse
    47. Sophie R Meakin
    48. Lauren Castro
    49. Geoffrey Fairchild
    50. Isaac Michaud
    51. Dave Osthus
    52. Pierfrancesco Alaimo Di Loro
    53. Antonello Maruotti
    54. Veronika Eclerova
    55. Andrea Kraus
    56. David Kraus
    57. Lenka Pribylova
    58. Bertsimas Dimitris
    59. Michael Lingzhi Li
    60. Soni Saksham
    61. Jonas Dehning
    62. Sebastian Mohr
    63. Viola Priesemann
    64. Grzegorz Redlarski
    65. Benjamin Bejar
    66. Giovanni Ardenghi
    67. Nicola Parolini
    68. Giovanni Ziarelli
    69. Wolfgang Bock
    70. Stefan Heyder
    71. Thomas Hotz
    72. David E Singh
    73. Miguel Guzman-Merino
    74. Jose L Aznarte
    75. David Morina
    76. Sergio Alonso
    77. Enric Alvarez
    78. Daniel Lopez
    79. Clara Prats
    80. Jan Pablo Burgard
    81. Arne Rodloff
    82. Tom Zimmermann
    83. Alexander Kuhlmann
    84. Janez Zibert
    85. Fulvia Pennoni
    86. Fabio Divino
    87. Marti Catala
    88. Gianfranco Lovison
    89. Paolo Giudici
    90. Barbara Tarantino
    91. Francesco Bartolucci
    92. Giovanna Jona Lasinio
    93. Marco Mingione
    94. Alessio Farcomeni
    95. Ajitesh Srivastava
    96. Pablo Montero-Manso
    97. Aniruddha Adiga
    98. Benjamin Hurt
    99. Bryan Lewis
    100. Madhav Marathe
    101. Przemyslaw Porebski
    102. Srinivasan Venkatramanan
    103. Rafal P Bartczuk
    104. Filip Dreger
    105. Anna Gambin
    106. Krzysztof Gogolewski
    107. Magdalena Gruziel-Slomka
    108. Bartosz Krupa
    109. Antoni Moszyński
    110. Karol Niedzielewski
    111. Jedrzej Nowosielski
    112. Maciej Radwan
    113. Franciszek Rakowski
    114. Marcin Semeniuk
    115. Ewa Szczurek
    116. Jakub Zielinski
    117. Jan Kisielewski
    118. Barbara Pabjan
    119. Kirsten Holger
    120. Yuri Kheifetz
    121. Markus Scholz
    122. Biecek Przemyslaw
    123. Marcin Bodych
    124. Maciej Filinski
    125. Radoslaw Idzikowski
    126. Tyll Krueger
    127. Tomasz Ozanski
    128. Johannes Bracher
    129. Sebastian Funk
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This large-scale collaborative study is a timely contribution that will be of interest to researchers working in the fields of infectious disease forecasting and epidemic control. This paper provides a comprehensive evaluation of the predictive skills of real-time COVID-19 forecasting models in Europe. The conclusions of the paper are well supported by the data and are consistent with findings from studies in other countries.

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    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
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