Evidence map›Paper›PMID 29523830›Full record

ArticleEuropean journal of human genetics : EJHG2018

Re-assessment of multiple testing strategies for more efficient genome-wide association studies.

Takahiro Otani, Hisashi Noma, Jo Nishino, Shigeyuki Matsui

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
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  6. Review
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

4 authors.

Takahiro OtaniRisk Analysis Research Center, The Institute of Statistical Mathematics, Tachikawa, Tokyo, 190-8562, Japan.ORCID http://orcid.org/0000-0002-4007-7817
Hisashi NomaDepartment of Data Science, The Institute of Statistical Mathematics, Tachikawa, Tokyo, 190-8562, Japan. noma@ism.ac.jp.
Jo NishinoDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, 466-8550, Japan.
Shigeyuki MatsuiDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, 466-8550, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although enormous costs have been dedicated to discovering relevant disease-related genetic variants, especially in genome-wide association studies (GWASs), only a small fraction of estimated heritability can be explained by these results. This is the so-called missing heritability problem. The conventional use of overly conservative multiple testing strategies based on controlling the familywise error rate (FWER), in particular with a genome-wide significance threshold of P <5 × 10

Indexed as

Arthritis, RheumatoidComputer SimulationGenomeGenome-Wide Association StudyHumansPolymorphism, Single NucleotideSchizophrenia

Identifiers

PMID29523830
PMCPMC6018732

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.