Evidence map›Paper›PMID 22373325›Full record

ArticleBMC proceedings2011

Identifying rare variants from exome scans: the GAW17 experience.

Saurabh Ghosh, Heike Bickeböller, Julia Bailey, Joan E Bailey-Wilson, Rita Cantor, Robert Culverhouse, Warwick Daw, Anita L Destefano, Corinne D Engelman, Anthony Hinrichs and 15 more

Abstract read
In one paragraph

Article in BMC proceedings, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

25 authors.

Saurabh GhoshHuman Genetics Unit, Indian Statistical Institute, Kolkata 700018, India. saurabh@isical.ac.in.
Heike Bickeböller
Julia Bailey
Joan E Bailey-Wilson
Rita Cantor
Robert Culverhouse
Warwick Daw
Anita L Destefano
Corinne D Engelman
Anthony Hinrichs
Jeanine Houwing-Duistermaat
Inke R König
Jack Kent
Nan Laird
Nathan Pankratz
Andrew Paterson
Elizabeth Pugh
Brian Suarez
Yan Sun
Alun Thomas
Nathan Tintle
Xiaofeng Zhu
Andreas Ziegler
Jean W Maccluer
Laura Almasy

Funding

Development of statistical genetics methodologyZIAHG000153 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BAILEY-WILSON, JOAN ELLEN · 2009 to 2022
$5.0M
Evaluating the Cost Effectiveness of Alternative Sample Designs for Genetic AssocR15HG004543 · NHGRI · HOPE COLLEGE · PI TINTLE, NATHAN L · 2008 to 2011
$288k
NHGRI NIH HHS R15 HG004543
6 · The paper itself

Abstract

Genetic Analysis Workshop 17 (GAW17) provided a platform for evaluating existing statistical genetic methods and for developing novel methods to analyze rare variants that modulate complex traits. In this article, we present an overview of the 1000 Genomes Project exome data and simulated phenotype data that were distributed to GAW17 participants for analyses, the different issues addressed by the participants, and the process of preparation of manuscripts resulting from the discussions during the workshop.

Identifiers

PMID22373325
PMCPMC3287821

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.