Evidence map›Paper›PMID 25059740›Full record

ReviewCold Spring Harbor perspectives in medicine2014

Personalized medicine and human genetic diversity.

Yi-Fan Lu, David B Goldstein, Misha Angrist, Gianpiero Cavalleri

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Passage-Dependent Size Distributions of Human-Derived Cells: Implications for Metabolic Assays.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. IMGTNAR genomics and bioinformatics · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. International journal of molecular sciences · 2022
    Article
  20. Article

11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yi-Fan LuCenter for Human Genome Variation, Duke University, Durham, North Carolina 27708.
David B GoldsteinCenter for Human Genome Variation, Duke University, Durham, North Carolina 27708.
Misha AngristInstitute for Genome Sciences and Policy, Duke University, Durham, North Carolina 27708.
Gianpiero CavalleriMolecular and Cellular Therapeutics, Royal College of Surgeons, Dublin 4, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human genetic diversity has long been studied both to understand how genetic variation influences risk of disease and infer aspects of human evolutionary history. In this article, we review historical and contemporary views of human genetic diversity, the rare and common mutations implicated in human disease susceptibility, and the relevance of genetic diversity to personalized medicine. First, we describe the development of thought about diversity through the 20th century and through more modern studies including genome-wide association studies (GWAS) and next-generation sequencing. We introduce several examples, such as sickle cell anemia and Tay-Sachs disease that are caused by rare mutations and are more frequent in certain geographical populations, and common treatment responses that are caused by common variants, such as hepatitis C infection. We conclude with comments about the continued relevance of human genetic diversity in medical genetics and personalized medicine more generally.

Indexed as

Genetic Predisposition to DiseasePrecision MedicineDiseaseGenetic VariationGenome-Wide Association StudyHumans

Identifiers

PMID25059740
PMCPMC4143101

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.