Research map: Proteomic landscape of multidimensional aging phenotypes

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  1. The Hallmarks of Aging · Carlos López-Otı́n · 2013 · 15427 citations · Cited by this paper
  2. Measuring biological age: Insights from omics studies · Eva Kočar · 2025 · 10 citations · Cites this paper
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  4. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age · Cathie L. M. Sudlow · 2015 · 13948 citations · Cited by this paper
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  12. Integrative stratification of response to immunotherapy using host and microbial signatures in patients with advanced non-small cell lung cancer · 2026 · Related
  13. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases · Marie Verbanck · 2018 · 9406 citations · Cited by this paper
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  15. Cell type-specific contextualisation of the human phenome: towards the systematic treatment of all rare diseases · 2026 · Related
  16. Hallmarks of aging: An expanding universe · Carlos López-Otı́n · 2023 · 6513 citations · Cited by this paper
  17. Long-read transcriptome sequencing and Drosophila-based functional validation reveal novel gene fusions in fusion panel-negative gliomas · 2026 · Related
  18. An atlas of genetic correlations across human diseases and traits · Brendan K Bulik-Sullivan · 2015 · 4819 citations · Cited by this paper
  19. Comprehensive genomic characterization of extraintestinal pathogenic Escherichia coli isolated from neonates: multiple center insights into virulence, resistance, and transmission dynamics · 2026 · Related
  20. Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics · Claudia Giambartolomei · 2014 · 4813 citations · Cited by this paper
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  22. Functional mapping and annotation of genetic associations with FUMA · Kyoko Watanabe · 2017 · 4672 citations · Cited by this paper
  23. The Human Plasma Proteome · N. Leigh Anderson · 2002 · 4435 citations · Cited by this paper
  24. Avoiding bias from weak instruments in Mendelian randomization studies · Stephen Burgess · 2011 · 4295 citations · Cited by this paper
  25. A standard procedure for creating a frailty index · Samuel D. Searle · 2008 · 3693 citations · Cited by this paper
  26. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets · Zhihong Zhu · 2016 · 3682 citations · Cited by this paper
  27. Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome · Fabiola Del Greco M · 2015 · 1903 citations · Cited by this paper
  28. Plasma proteomic associations with genetics and health in the UK Biobank · Benjamin B. Sun · 2023 · 1726 citations · Cited by this paper
  29. Computationally efficient whole-genome regression for quantitative and binary traits · Joelle S. Mbatchou · 2021 · 1640 citations · Cited by this paper
  30. Undulating changes in human plasma proteome profiles across the lifespan · Benoit Lehallier · 2019 · 1044 citations · Cited by this paper
  31. Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches · Martin Guilliams · 2022 · 1008 citations · Cited by this paper
  32. A new approach to the concept and computation of biological age · Petr Klemera · 2005 · 829 citations · Cited by this paper
  33. Quantitative Serum Nuclear Magnetic Resonance Metabolomics in Large-Scale Epidemiology: A Primer on -Omic Technologies · Peter Würtz · 2017 · 761 citations · Cited by this paper
  34. Organ aging signatures in the plasma proteome track health and disease · Hamilton Se‐Hwee Oh · 2023 · 640 citations · Cited by this paper
  35. Measuring biological age using omics data · Jarod Rutledge · 2022 · 597 citations · Cited by this paper
  36. Genetics meets proteomics: perspectives for large population-based studies · Karsten Suhre · 2020 · 509 citations · Cited by this paper
  37. Personal aging markers and ageotypes revealed by deep longitudinal profiling · Sara Ahadi · 2020 · 420 citations · Cited by this paper
  38. Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations · M. Austin Argentieri · 2024 · 338 citations · Cited by this paper
  39. Proteomic signatures improve risk prediction for common and rare diseases · Julia Carrasco-Zanini · 2024 · 239 citations · Cited by this paper

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