Response to Day et al.

Hugues Aschard, Bjarni J Vilhjálmsson, Amit D Joshi, Alkes L Price, Peter Kraft

Abstract readLetterComment

In one paragraph

Article in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

Comment on
Adjusting for heritable covariates can bias effect estimates in genome-wide association studies.2015
Comment on
A Robust Example of Collider Bias in a Genetic Association Study.2016

5 · Who and what money

Authors and funding

5 authors.

Hugues AschardDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA. Electronic address: haschard@hsph.harvard.edu.

Bjarni J VilhjálmssonBioinformatics Research Centre, Aarhus University, Aarhus 8000, Denmark.

Amit D JoshiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA; Division of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA.

Alkes L PriceDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.

Peter KraftDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.

Funding

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026

$10.9M

NCI NIH HHS R35 CA197449

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Genetic VariationModels, GeneticQuantitative Trait, HeritableGenome-Wide Association StudyHumans

Identifiers

PMID26849115

DOI10.1016/j.ajhg.2015.12.020

PMCPMC4746361

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.