Evidence map›Paper›PMID 27980613›Full record

ArticleBMC proceedings2016

Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals.

Corinne D Engelman, Celia M T Greenwood, Julia N Bailey, Rita M Cantor, Jack W Kent, Inke R König, Justo Lorenzo Bermejo, Phillip E Melton, Stephanie A Santorico, Arne Schillert and 3 more

Abstract read
In one paragraph

Article in BMC proceedings, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

13 authors.

Corinne D EngelmanDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, 610 Walnut Street, 707 WARF, Madison, WI 53726 USA.
Celia M T GreenwoodLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Côte Ste. Catherine, Montreal, QC H3T 1E2 Canada.
Julia N BaileyDepartment of Epidemiology, University of California Los Angeles Fielding School of Public Health, Box 951772, Los Angeles, CA 90095 USA.
Rita M CantorDepartment of Human Genetics, David Geffen School of Medicine at UCLA, 695 Charles E. Young Dr, South, Los Angeles, CA 90024-7088 USA.
Jack W KentDepartment of Genetics, Texas Biomedical Research Institute, PO Box 760549, San Antonio, TX 78245-0549 USA.
Inke R KönigInstitut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Justo Lorenzo BermejoStatistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Im Neuenheimer Feld 305, 69120 Heidelberg, Germany.
Phillip E MeltonCentre for Genetic Origins of Health and Disease, University of Western Australia, Perth, WA Australia.
Stephanie A SantoricoDepartment of Mathematical & Statistical Sciences, University of Colorado-Denver, PO Box 173364, Denver, CO 80204 USA.
Arne SchillertInstitut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
Ellen M WijsmanDepartment of Medicine, Department of Biostatistics, Division of Medical Genetics, University of Washington, Seattle, WA 98195 USA.
Jean W MacCluerDepartment of Genetics, Texas Biomedical Research Institute, PO Box 760549, San Antonio, TX 78245-0549 USA.
Laura AlmasySouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, San Antonio, TX 78229 USA.

Funding

Multiethnic Study of Type 2 Diabetes GenesU01DK085526 · NIDDK · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, JABLONSKI, KATHLEEN ANN · 2009 to 2014
$15.7M
Whole Genome Sequencing to Identify Causal Genetic Variants Influencing CVD RiskR01HL113323 · NHLBI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, CURRAN, JOANNE E. · 2012 to 2016
$8.2M
GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
Discovery of Functional Variants in Type 2 Diabetes Genes in Mexican AmericansU01DK085524 · NIDDK · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, DEFRONZO, RALPH A · 2009 to 2019
$5.9M
NIDDM SUSCEPTIBILITY GENES IN MEXICAN-AMERICANSR01DK047482 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 1993 to 2010
$5.4M
Identifying T2D Variants by DNA Sequencing in Multiethnic SamplesU01DK085584 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO, BOEHNKE, MICHAEL L · 2009 to 2013
$4.1M
GWAS for Sleep Apnea and Endothelial Function Among Mexican AmericansR01HL102830 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HANIS, CRAIG L · 2010 to 2013
$2.8M
Identifying variants causal for Type 2 Diabetes in Major human populationsU01DK085545 · NIDDK · UNIVERSITY OF OXFORD · PI CHAN, JULIANA CN, EBRAHIM, SHAH BRIAN · 2009 to 2013
$2.8M
Identification and Replication of Type 2 Diabetes Genes in Mexican AmericansU01DK085501 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HANIS, CRAIG L · 2009 to 2013
$2.7M
The Genetic Basis of Diabetic Retinopathy in Mexican Am*U01DK057295 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ABBOUD, HANNA E · 1999 to 2006
$2.3M
GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANSR01DK053889 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DUGGIRALA, RAVINDRANATH · 1998 to 2011
$2.3M
Genetics of Type 2 Diabetes in Starr County, TexasR01DK073541 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HANIS, CRAIG L · 2007 to 2010
$2.2M
NHLBI NIH HHS R01 HL102830NHLBI NIH HHS R01 HL113323NIDDK NIH HHS R01 DK047482NIDDK NIH HHS R01 DK053889NIDDK NIH HHS R01 DK073541NIDDK NIH HHS U01 DK057295NIDDK NIH HHS U01 DK085501NIDDK NIH HHS U01 DK085524NIDDK NIH HHS U01 DK085526NIDDK NIH HHS U01 DK085545NIDDK NIH HHS U01 DK085584NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

Genetic Analysis Workshop 19 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence and gene expression data from a pedigree-based sample, as well as whole-exome sequence data from a large cohort of unrelated individuals. In this article we present an overview of the data sets, the GAW experience, and summaries of the contributions arranged into nine methodological themes.

Identifiers

PMID27980613
PMCPMC5133501

What Socratic 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 Socratic graph.