Evidence map›Paper›PMID 27776118›Full record

ArticleNature genetics2016

Genome-wide significance testing of variation from single case exomes.

Amy B Wilfert, Katherine R Chao, Madhurima Kaushal, Sanjay Jain, Sebastian Zöllner, David R Adams, Donald F Conrad

Abstract read
In one paragraph

Article in Nature genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Benchmark of computational methods to detect digenism in sequencing data.European journal of human genetics : EJHG · 2025
    Review
  3. Article
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  12. Recurrent Pregnancy Loss and Concealed Long-QT Syndrome.Journal of the American Heart Association · 2021
    Article
  13. VariantThe New England journal of medicine · 2021
    Article
  14. Review
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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

7 authors.

Amy B WilfertDepartment of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA.
Katherine R ChaoNational Institutes of Health Undiagnosed Diseases Program, US National Institutes of Health, Bethesda, Maryland, USA.
Madhurima KaushalDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Sanjay JainDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Sebastian ZöllnerDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
David R AdamsNational Institutes of Health Undiagnosed Diseases Program, US National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-6660-1242
Donald F ConradDepartment of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-3828-8970

Funding

INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
Washington University Intellectual and Developmental Disabilities Research Center-Administrative Down Syndrome SupplementU54HD087011 · NICHD · WASHINGTON UNIVERSITY · PI MOLEY, KELLE H · 2015 to 2019
$7.1M
GENOMICS OF SPERMATOGENIC IMPAIRMENTR01HD078641 · NICHD · WASHINGTON UNIVERSITY · PI Kenneth Ivan Aston, DONALD F. CONRAD · 2014 to 2026
$6.3M
Analysis of de novo mutation from sequencing of related individuals and cellsR01HG007178 · NHGRI · WASHINGTON UNIVERSITY · PI CONRAD, DONALD F. · 2014 to 2018
$2.6M
MODELING THE EFFECTS OF STRUCTURAL VARIATION IN GTEX DATA AND MENDELIAN DISEASER01MH101810 · NIMH · WASHINGTON UNIVERSITY · PI CONRAD, DONALD F. · 2013 to 2016
$1.3M
NHGRI NIH HHS R01 HG007178NHGRI NIH HHS T32 HG000045NICHD NIH HHS R01 HD078641NICHD NIH HHS U54 HD087011NIMH NIH HHS R01 MH101810
6 · The paper itself

Abstract

Standard techniques from genetic epidemiology are ill-suited to formally assess the significance of variants identified from a single case. We developed a statistical inference framework for identifying unusual functional variation from a single exome or genome, what we refer to as the 'n-of-one' problem. Using this approach we assessed our ability to identify the causal genotypes in over 5 million simulated cases of Mendelian disease, identifying 39% of disease genotypes as the most damaging unit in a typical exome background. We applied our approach to 129 n-of-one families from the Undiagnosed Diseases Program, nominating 60% of 30 disease genes determined to be diagnostic by a standard clinical workup. Our method can currently produce well-calibrated P values when applied to single genomes, can facilitate integration of multiple data types for n-of-one analyses, and, with further work, could become a widely used epidemiological method like linkage analysis or genome-wide association analysis.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyExomeGene FrequencyGenetic Diseases, InbornGenetic TestingGenetic VariationHumansSequence Analysis, DNA

Identifiers

PMID27776118
PMCPMC5127779

What OpenQuestion holds

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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.