Evidence map›Paper›PMID 27247391›Full record

Trial reportProceedings of the National Academy of Sciences of the United States of America2016

Whole-exome sequencing to analyze population structure, parental inbreeding, and familial linkage.

Aziz Belkadi, Vincent Pedergnana, Aurélie Cobat, Yuval Itan, Quentin B Vincent, Avinash Abhyankar, Lei Shang, Jamila El Baghdadi, Aziz Bousfiha, Exome/Array Consortium and 4 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
  3. Human LY9 governs CD4Science immunology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Helper T cell immunity in humans with inherited CD4 deficiency.The Journal of experimental medicine · 2024
    Article
  8. Article
  9. Exome sequencing of UK birth cohorts.Wellcome open research · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Homozygous Pro1066ArgLife (Basel, Switzerland) · 2022
    Article
  17. A novel mutation in SLC39A7 identified in a patient with autosomal recessive agammaglobulinemia: The impact of the J Project.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022
    Article
  18. Article
  19. Article
  20. Observational
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

14 authors at 20 institutions in 14 countries.

Aziz BelkadiLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France;
Vincent PedergnanaLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom;
Aurélie CobatLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France;
Yuval ItanSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY 10065;
Quentin B VincentLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France;
Avinash AbhyankarNew York Genome Center, New York, NY 10013;
Lei ShangSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY 10065;
Jamila El BaghdadiGenetics Unit, Military Hospital Mohammed V, Hay Riad, 10100 Rabat, Morocco;
Aziz BousfihaClinical Immunology Unit of the Pediatric Infectious Disease Service, Ibn Roshd Hospital, Hassan II University, Casablanca 20460, Morocco;
Exome/Array Consortium
Alexandre AlcaisLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France;
Bertrand BoissonLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY 10065;
Jean-Laurent CasanovaLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY 10065; Howard Hughes Medical Institute, New York, NY 10065; Pediatric Haematology-Immunology Unit, Necker Hospital for Sick Children, 75015 Paris, France jean-laurent.casanova@rockefeller.edu laurent.abel@inserm.fr.
Laurent AbelLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, 75015 Paris, France; Imagine Institute, Paris Descartes University, 75015 Paris, France; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY 10065; jean-laurent.casanova@rockefeller.edu laurent.abel@inserm.fr.
Inserm · FRUniversité Paris Cité · FRInstitut des Maladies Génétiques Imagine · FRRockefeller University · USChildren's Medical Center · IRShahid Beheshti University of Medical Sciences · IRAssistance Publique – Hôpitaux de Paris · FRBai Jerbai Wadia Hospital for Children · INBursa Uludağ Üni̇versi̇tesi̇ · TRCairo University · EGCentre National de la Recherche Scientifique · FRDélégation Paris 5 · FREge University · TRHacettepe University · TRHôpital Farhat Hached · TNHôpital Paul-Brousse · FRHospital General Universitario Gregorio Marañón · ESKuwait University · KWMinistry of Health · TRMohammed V University · MA

Funding

Genetic predisposition to tuberculosis in MoroccoU01AI088685 · NIAID · ROCKEFELLER UNIVERSITY · PI ABEL, LAURENT, CASANOVA, JEAN-LAURENT · 2010 to 2014
$3.3M
European Research Council 268777NIAID NIH HHS U01 AI088685
6 · The paper itself

Abstract

Principal component analysis (PCA), homozygosity rate estimations, and linkage studies in humans are classically conducted through genome-wide single-nucleotide variant arrays (GWSA). We compared whole-exome sequencing (WES) and GWSA for this purpose. We analyzed 110 subjects originating from different regions of the world, including North Africa and the Middle East, which are poorly covered by public databases and have high consanguinity rates. We tested and applied a number of quality control (QC) filters. Compared with GWSA, we found that WES provided an accurate prediction of population substructure using variants with a minor allele frequency > 2% (correlation = 0.89 with the PCA coordinates obtained by GWSA). WES also yielded highly reliable estimates of homozygosity rates using runs of homozygosity with a 1,000-kb window (correlation = 0.94 with the estimates provided by GWSA). Finally, homozygosity mapping analyses in 15 families including a single offspring with high homozygosity rates showed that WES provided 51% less genome-wide linkage information than GWSA overall but 97% more information for the coding regions. At the genome-wide scale, 76.3% of linked regions were found by both GWSA and WES, 17.7% were found by GWSA only, and 6.0% were found by WES only. For coding regions, the corresponding percentages were 83.5%, 7.4%, and 9.1%, respectively. With appropriate QC filters, WES can be used for PCA and adjustment for population substructure, estimating homozygosity rates in individuals, and powerful linkage analyses, particularly in coding regions.

Indexed as

ConsanguinityGenetic LinkageGenome-Wide Association StudyHomozygoteFemaleHumansMaleMiddle EastNorth Americaexome sequencinggenotyping arrayhomozygosity mappinglinkage analysispopulation structure

Identifiers

PMID27247391
PMCPMC4914194
OpenAlexW2415132273

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.