Evidence map›Paper›PMID 26854916›Full record

ArticleNature genetics2016

Weighting sequence variants based on their annotation increases power of whole-genome association studies.

Gardar Sveinbjornsson, Anders Albrechtsen, Florian Zink, Sigurjón A Gudjonsson, Asmundur Oddson, Gísli Másson, Hilma Holm, Augustine Kong, Unnur Thorsteinsdottir, Patrick Sulem and 2 more

Abstract read
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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 132 papers, 26 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 26 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

132 citing papers in PubMed, 26 syntheses or guidelines pooled it.

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72 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

12 authors.

Gardar SveinbjornssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Anders AlbrechtsenBioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-7306-031X
Florian ZinkdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Sigurjón A GudjonssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Asmundur OddsondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Gísli MássondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Hilma HolmdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Augustine KongdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Unnur ThorsteinsdottirdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
Patrick SulemdeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.ORCID http://orcid.org/0000-0001-7123-6123
Daniel F GudbjartssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.ORCID http://orcid.org/0000-0002-5222-9857
Kari StefanssondeCODE Genetics/Amgen, Inc., Reykjavik, Iceland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The consensus approach to genome-wide association studies (GWAS) has been to assign equal prior probability of association to all sequence variants tested. However, some sequence variants, such as loss-of-function and missense variants, are more likely than others to affect protein function and are therefore more likely to be causative. Using data from whole-genome sequencing of 2,636 Icelanders and the association results for 96 quantitative and 123 binary phenotypes, we estimated the enrichment of association signals by sequence annotation. We propose a weighted Bonferroni adjustment that controls for the family-wise error rate (FWER), using as weights the enrichment of sequence annotations among association signals. We show that this weighted adjustment increases the power to detect association over the standard Bonferroni correction. We use the enrichment of associations by sequence annotation we have estimated in Iceland to derive significance thresholds for other populations with different numbers and combinations of sequence variants.

Indexed as

Molecular Sequence AnnotationGenome-Wide Association StudyHumansIcelandPhenotypePolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID26854916

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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.