Evangelos Evangelou

Genetics · 2007–2020

A researcher in the Science corpus: 12 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Evangelos Evangelou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John D. Storey
  2. Eleftheria Zeggini
  3. Julian P. T. Higgins
  4. Cristen J. Willer
  5. H. Cooper
  6. John P. A. Ioannidis
  7. Itsik Pe'er
  8. Seunggeun Lee
  9. Hyun Min Kang
  10. Shaun Purcell

Who trusts Evangelos Evangelou overall

  1. David Gomez-Cabrero
  2. John P. A. Ioannidis
  3. Long Zhai
  4. Nicole Letourneau
  5. Paul T. von Hippel
  6. David Daniel Ebert

Papers from Evangelos Evangelou's perspective

Ordered by how strongly the researchers Evangelos Evangelou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. (American Journal of Human Genetics)
  2. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  3. Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
  4. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits (Proceedings of the National Academy of Sciences of the United States of America)
  5. Rare Variants of IFIH1, a Gene Implicated in Antiviral Responses, Protect against Type 1 Diabetes (Science)
  6. Genomewide Association Analysis of Coronary Artery Disease (New England Journal of Medicine)
  7. Finding the missing heritability of complex diseases (Nature)
  8. A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. (American Journal of Human Genetics)
  9. The NCBI dbGaP database of genotypes and phenotypes (Nature Genetics)
  10. PLINK: a tool set for whole-genome association and population-based linkage analyses.

Their papers