Evidence map›Paper›PMID 21731721›Full record

ArticlePloS one2011

Sequence imputation of HPV16 genomes for genetic association studies.

Benjamin Smith, Zigui Chen, Laura Reimers, Koenraad van Doorslaer, Mark Schiffman, Rob Desalle, Rolando Herrero, Kai Yu, Sholom Wacholder, Tao Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 5% of its field
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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Genetic association between the HIF-1α P582S polymorphism and cervical cancer risk: a meta analysis.International journal of clinical and experimental pathology · 2014
    Pooled it
  3. Article
  4. Article
  5. HPV Infections-Classification, Pathogenesis, and Potential New Therapies.International journal of molecular sciences · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genetic and Epigenetic Variations of HPV52 in Cervical Precancer.International journal of molecular sciences · 2021
    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

11 authors at 5 institutions in 2 countries.

Benjamin SmithDepartment of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, United States of America.
Zigui Chen
Laura Reimers
Koenraad van Doorslaer
Mark Schiffman
Rob Desalle
Rolando Herrero
Kai Yu
Sholom Wacholder
Tao Wang
Robert D Burk
Albert Einstein College of Medicine · USNational Cancer Institute · USAmerican Museum of Natural History · USDivision of Cancer Epidemiology and GeneticsInstituto Costarricense de Investigación y Enseñanza en Nutrición y Salud · CR

Funding

PERSISTENT HUMAN PAPILLOMAVIRUS IN WOMEN AT RISK FOR CERVIX CANCERU01CA078527 · NCI · YESHIVA UNIVERSITY · PI BURK, ROBERT D · 2003 to 2018
$8.6M
PERSISTENT HPV IN WOMEN AT RISK FOR CERVIX CANCERR01CA078527 · NCI · YESHIVA UNIVERSITY · PI BURK, ROBERT D. · 1998 to 2002
$1.5M
GUANACASTE PROJECT--A POPULATION BASED NATURAL HISTN01CP081023 · CP · FUNDACION COSTARRICENSE PARA LA DOCENCIA · PI BRATTI, CONCEPCION C · 1998 to 2000
$1.4M
POPULATION-BASED NATURAL HISTORY OF CERVICAL NEOPLASIAN01CP021081 · CP · FUNDACION COSTARRICENSE PARA LA DOCENCIA · PI PACHECO, MARIO · 1992 to 1993
–
POPULATION BASED NATURAL HISTORY OF CERVICAL NEOPLASIAN01CP050535 · CP · FUNDACION COSTARRICENSE PARA LA DOCENCIA · PI BRATTI, CONCEPCION C · 1995 to 1998
–
POPULATION-BASED NATURAL HISTORY OF CERVICAL NEOPLASIAN01CP033061 · CP · FUNDACION COSTARRICENSE PARA LA DOCENCIA · PI PACHECO, MARIO · 1993 to 1994
–
POPULATION-BASED NATURAL HISTORY OF CERVICAL NEOPLASIAN01CP040542 · CP · FUNDACION COSTARRICENSE PARA LA DOCENCIA · PI BRATTI, CONCEPCION · 1994 to 1994
–
NCI NIH HHS CA78527NCI NIH HHS N01-CP-21081NCI NIH HHS N01-CP-33061NCI NIH HHS N01-CP-40542NCI NIH HHS N01-CP-50535NCI NIH HHS N01-CP-81023NCI NIH HHS R01 CA078527NCI NIH HHS U01 CA078527
6 · The paper itself

Abstract

backgroundHuman Papillomavirus type 16 (HPV16) causes over half of all cervical cancer and some HPV16 variants are more oncogenic than others. The genetic basis for the extraordinary oncogenic properties of HPV16 compared to other HPVs is unknown. In addition, we neither know which nucleotides vary across and within HPV types and lineages, nor which of the single nucleotide polymorphisms (SNPs) determine oncogenicity.

methodsA reference set of 62 HPV16 complete genome sequences was established and used to examine patterns of evolutionary relatedness amongst variants using a pairwise identity heatmap and HPV16 phylogeny. A BLAST-based algorithm was developed to impute complete genome data from partial sequence information using the reference database. To interrogate the oncogenic risk of determined and imputed HPV16 SNPs, odds-ratios for each SNP were calculated in a case-control viral genome-wide association study (VWAS) using biopsy confirmed high-grade cervix neoplasia and self-limited HPV16 infections from Guanacaste, Costa Rica.

resultsHPV16 variants display evolutionarily stable lineages that contain conserved diagnostic SNPs. The imputation algorithm indicated that an average of 97.5±1.03% of SNPs could be accurately imputed. The VWAS revealed specific HPV16 viral SNPs associated with variant lineages and elevated odds ratios; however, individual causal SNPs could not be distinguished with certainty due to the nature of HPV evolution.

conclusionsConserved and lineage-specific SNPs can be imputed with a high degree of accuracy from limited viral polymorphic data due to the lack of recombination and the stochastic mechanism of variation accumulation in the HPV genome. However, to determine the role of novel variants or non-lineage-specific SNPs by VWAS will require direct sequence analysis. The investigation of patterns of genetic variation and the identification of diagnostic SNPs for lineages of HPV16 variants provides a valuable resource for future studies of HPV16 pathogenicity.

Indexed as

Genetic Association StudiesBase SequenceCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenetic VariationGenome, ViralGenome-Wide Association StudyHuman papillomavirus 16HumansPhylogenyPolymorphism, Single NucleotideReference StandardsSequence Analysis, DNA

Identifiers

PMID21731721
PMCPMC3121793
OpenAlexW2004805218

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Registered trials

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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.