Evidence map›Paper›PMID 34479875›Full record

ArticleGenome research2021

Efficient computation of Faith's phylogenetic diversity with applications in characterizing microbiomes.

George Armstrong, Kalen Cantrell, Shi Huang, Daniel McDonald, Niina Haiminen, Anna Paola Carrieri, Qiyun Zhu, Antonio Gonzalez, Imran McGrath, Kristen L Beck and 13 more

Abstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Effects ofFrontiers in microbiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Gut Microbiota of Peruvian Children Under the Age of Two During the Complementary Feeding Period.International journal of environmental research and public health · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Personalized glucose prediction usingFrontiers in nutrition · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

23 authors.

George ArmstrongDepartment of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA.ORCID 0000-0002-1061-3295
Kalen CantrellCenter for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.
Shi HuangDepartment of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA.ORCID 0000-0002-7529-2269
Daniel McDonaldDepartment of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA.ORCID 0000-0003-0876-9060
Niina HaiminenIBM T. J. Watson Research Center, Yorktown Heights, New York 10562, USA.ORCID 0000-0002-8663-1019
Anna Paola CarrieriIBM Research Europe, The Hartree Centre, Warrington WA4 4AD, United Kingdom.ORCID 0000-0003-2349-1896
Qiyun ZhuSchool of Life Sciences, Arizona State University, Tempe, Arizona 85281, USA.ORCID 0000-0002-3568-6271
Antonio GonzalezDepartment of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA.
Imran McGrathCenter for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.ORCID 0000-0001-8791-4398
Kristen L BeckIBM Almaden Research Center, San Jose, California 95120, USA.ORCID 0000-0002-4603-0235
Daniel HakimDepartment of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA.ORCID 0000-0002-8467-5413
Aki S HavulinnaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland.ORCID 0000-0002-4787-8959
Guillaume MéricCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia.ORCID 0000-0001-6288-9958
Teemu NiiranenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland.ORCID 0000-0002-7394-7487
Leo LahtiDepartment of Computing, University of Turku, Turku 20014, Finland.ORCID 0000-0001-5537-637X
Veikko SalomaaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland.ORCID 0000-0001-7563-5324
Mohit JainCenter for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.
Michael InouyeCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia.
Austin D SwaffordCenter for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.ORCID 0000-0001-5655-8300
Ho-Cheol KimIBM Almaden Research Center, San Jose, California 95120, USA.ORCID 0000-0003-0464-4340
Laxmi ParidaIBM T. J. Watson Research Center, Yorktown Heights, New York 10562, USA.ORCID 0000-0002-7872-5074
Yoshiki Vázquez-BaezaCenter for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.ORCID 0000-0001-6014-2009
Rob KnightDepartment of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA.ORCID 0000-0002-0975-9019

Funding

Mapping the Plasma Exposome and its Association with Human Cardiovascular DiseaseR01ES027595 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, MOHIT · 2017 to 2021
$3.3M
British Heart Foundation CH/12/2/29428British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946NIEHS NIH HHS R01 ES027595
6 · The paper itself

Abstract

The number of publicly available microbiome samples is continually growing. As data set size increases, bottlenecks arise in standard analytical pipelines. Faith's phylogenetic diversity (Faith's PD) is a highly utilized phylogenetic alpha diversity metric that has thus far failed to effectively scale to trees with millions of vertices. Stacked Faith's phylogenetic diversity (SFPhD) enables calculation of this widely adopted diversity metric at a much larger scale by implementing a computationally efficient algorithm. The algorithm reduces the amount of computational resources required, resulting in more accessible software with a reduced carbon footprint, as compared to previous approaches. The new algorithm produces identical results to the previous method. We further demonstrate that the phylogenetic aspect of Faith's PD provides increased power in detecting diversity differences between younger and older populations in the FINRISK study's metagenomic data.

Indexed as

MicrobiotaPhylogeny

Identifiers

PMID34479875
PMCPMC8559715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.