Epidemiology

Circulating Polyunsaturated Fatty Acids and COVID-19: A Prospective Cohort Study and Mendelian Randomization Analysis

1. Yitang Sun
2. Radhika Chatterjee
3. Akash Ronanki
4. Kaixiong Ye

Reviewed by ScreenIT

Spatial and temporal epidemiology of SARS-CoV-2 virus lineages in Teesside, UK, in 2020: effects of socio-economic deprivation, weather, and lockdown on lineage dynamics

1. E.D. Moss
2. S.P. Rushton
3. P. Baker
4. M. Bashton
5. M.R. Crown
6. R.N. dos Santos
7. A. Nelson
8. S.J. O’Brien
9. Z. Richards
10. R.A. Sanderson
11. W.C. Yew
12. G.R. Young
13. C.M. McCann
14. D.L. Smith

Reviewed by ScreenIT

Using Digital Humanities for Understanding COVID-19: Lessons from Digital History about Earlier Coronavirus Pandemic

1. Tado Jurić

Reviewed by ScreenIT

Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England

1. Paul Elliott
2. Oliver Eales
3. Barbara Bodinier
4. David Tang
5. Haowei Wang
6. Jakob Jonnerby
7. David Haw
8. Joshua Elliott
9. Matthew Whitaker
10. Caroline E. Walters
11. Christina Atchison
12. Peter J. Diggle
13. Andrew J. Page
14. Alexander J. Trotter
15. Deborah Ashby
16. Wendy Barclay
17. Graham Taylor
18. Helen Ward
19. Ara Darzi
20. Graham S. Cooke
21. Marc Chadeau-Hyam
22. Christl A. Donnelly

Reviewed by ScreenIT

SARS-CoV-2 testing strategies for outbreak mitigation in vaccinated populations

1. Chirag K. Kumar
2. Ruchita Balasubramanian
3. Stefano Ongarello
4. Sergio Carmona
5. Ramanan Laxminarayan

Reviewed by ScreenIT

Comparative effectiveness of different primary vaccination courses on mRNA-based booster vaccines against SARs-COV-2 infections: a time-varying cohort analysis using trial emulation in the Virus Watch community cohort

1. Vincent Grigori Nguyen
2. Alexei Yavlinsky
3. Sarah Beale
4. Susan Hoskins
5. Thomas E Byrne
6. Vasileios Lampos
7. Isobel Braithwaite
8. Wing Lam Erica Fong
9. Ellen Fragaszy
10. Cyril Geismar
11. Jana Kovar
12. Annalan M D Navaratnam
13. Parth Patel
14. Madhumita Shrotri
15. Sophie Weber
16. Andrew C Hayward
17. Robert W Aldridge

Reviewed by ScreenIT

Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data

1. Rhys P. D. Inward
2. Kris V. Parag
3. Nuno R. Faria

Reviewed by ScreenIT

USA Winter 2021 CoVID-19 Resurgence Post-Christmas Update

1. Genghmun Eng

Reviewed by ScreenIT

The usefulness of D-dimer as a predictive marker for mortality in patients with COVID-19 hospitalized during the first wave in Italy

1. Shermarke Hassan
2. Barbara Ferrari
3. Raffaella Rossio
4. Vincenzo la Mura
5. Andrea Artoni
6. Roberta Gualtierotti
7. Ida Martinelli
8. Alessandro Nobili
9. Alessandra Bandera
10. Andrea Gori
11. Francesco Blasi
12. Valter Monzani
13. Giorgio Costantino
14. Sergio Harari
15. Frits Richard Rosendaal
16. Flora Peyvandi
17. on behalf of the COVID-19 Network working group

Reviewed by ScreenIT

Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study

1. Fernanda Morales Berstein
2. Daniel L McCartney
3. Ake T Lu
4. Konstantinos K Tsilidis
5. Emmanouil Bouras
6. Philip Haycock
7. Kimberley Burrows
8. Amanda I Phipps
9. Daniel D Buchanan
10. Iona Cheng
11. the PRACTICAL consortium
12. Richard M Martin
13. George Davey Smith
14. Caroline L Relton
15. Steve Horvath
16. Riccardo E Marioni
17. Tom G Richardson
18. Rebecca C Richmond

• Curated by eLife

  Evaluation Summary:

  This paper describes a two-sample randomization study of the impact of several measures of epigenetic aging acceleration (four different DNA methylation clocks) on risk for various common cancers (prostate, colon, lung, ovary, and breast). Data from large case-control cancer GWAS results are leveraged, as well as large cohort GWAS (UK Biobank and FinnGen) and GWAS of epigenetic aging. The most convincing finding is an an estimated effect of GrimAge on colon cancer risk (while results for other cancers are null or suggestive). This analysis is an important contribution as it addresses a question of substantial interest in cancer epidemiology.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #2 agreed to share their name with the authors.)

Reviewed by eLife