Evidence map›Paper›PMID 24837662›Full record

ArticleNature biotechnology2014

A unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data.

Hao Hu, Jared C Roach, Hilary Coon, Stephen L Guthery, Karl V Voelkerding, Rebecca L Margraf, Jacob D Durtschi, Sean V Tavtigian, Shankaracharya, Wilfred Wu and 15 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

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11 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

25 authors.

Hao HuDepartment of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
Jared C RoachInstitute for Systems Biology, Seattle, Washington, USA.
Hilary CoonDepartment of Psychiatry, University of Utah, Salt Lake City, Utah, USA.
Stephen L GutheryDepartment of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Karl V Voelkerding1] Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, USA. [2] ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA.
Rebecca L MargrafARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA.
Jacob D DurtschiARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA.
Sean V TavtigianDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
ShankaracharyaDepartment of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
Wilfred WuDepartment of Human Genetics and USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, Utah, USA.
Paul ScheetDepartment of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
Shuoguo WangDepartment of Genetics, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA.
Jinchuan XingDepartment of Genetics, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA.
Gustavo GlusmanInstitute for Systems Biology, Seattle, Washington, USA.
Robert HubleyInstitute for Systems Biology, Seattle, Washington, USA.
Hong LiInstitute for Systems Biology, Seattle, Washington, USA.
Vidu Garg1] Department of Pediatrics, The Ohio State University, Columbus, Ohio, USA. [2] Center for Cardiovascular and Pulmonary Research, Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.ORCID 0000000237785927
Barry MooreDepartment of Human Genetics and USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, Utah, USA.
Leroy HoodInstitute for Systems Biology, Seattle, Washington, USA.
David J Galas1] Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg. [2] Pacific Northwest Diabetes Research Institute, Seattle, Washington, USA.
Deepak SrivastavaGladstone Institute of Cardiovascular Disease and University of California, San Francisco, San Francisco, California, USA.
Martin G ReeseOmicia, Inc., Oakland, California, USA.
Lynn B JordeDepartment of Human Genetics and USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, Utah, USA.
Mark YandellDepartment of Human Genetics and USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, Utah, USA.
Chad D HuffDepartment of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
The Epigenetic Landscape of Heart DevelopmentU01HL098179 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BOYER, LAURIE A, BRUNEAU, BENOIT GAETAN · 2009 to 2014
$10.0M
Induced Pluripotent Stem Cells in the Understanding and Treatment of Heart DiseasU01HL100406 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BRUNEAU, BENOIT GAETAN, CONKLIN, BRUCE R · 2009 to 2015
$9.4M
POPULATION GENETICS OF MOBILE ELEMENTSR01GM059290 · NIGMS · UNIVERSITY OF UTAH · PI BATZER, MARK A, FESCHOTTE, CEDRIC · 1999 to 2018
$8.5M
The Epigenetic Landscape of Heart DevelopmentUM1HL098179 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BRUNEAU, BENOIT GAETAN, POLLARD, KATHERINE S. · 2015 to 2019
$4.7M
Genetic analysis of high-risk Utah suicide pedigreesR01MH099134 · NIMH · UNIVERSITY OF UTAH · PI COON, HILARY · 2013 to 2017
$3.9M
Massively Parallel Sequencing for Familial Colon Cancer GenesR01CA164138 · NCI · UNIVERSITY OF UTAH · PI ALBRIGHT, LISA CANNON, TAVTIGIAN, SEAN VAHRAM · 2012 to 2016
$2.9M
Exome sequencing and functional studies in familial CHDR01HL109758 · NHLBI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI GARG, VIDU, MCBRIDE, KIM LEWIS · 2012 to 2015
$2.7M
VAAST+: Tool for variant prioritization, risk assessment and disease-gene findingR01GM104390 · NIGMS · UNIVERSITY OF UTAH · PI JORDE, LYNN, YANDELL, MARK DOUGLAS · 2013 to 2017
$2.2M
Clinical Genome Inference System: Variant Prioritization for Clinical DiagnosticsR44HG006579 · NHGRI · FABRIC GENOMICS INC. · PI REESE, MARTIN G, YANDELL, MARK DOUGLAS · 2012 to 2013
$1.8M
1/3 - Sequencing Autism Spectrum Disorder Extended PedigreesR01MH094400 · NIMH · UNIVERSITY OF UTAH · PI COON, HILARY · 2012 to 2016
$1.5M
NCATS NIH HHS UL1 TR001425NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA164138NHGRI NIH HHS R00 HG005846NHGRI NIH HHS R00HG005846NHGRI NIH HHS R44 HG006579NHGRI NIH HHS R44HG006579NHLBI NIH HHS R01 HL109758NHLBI NIH HHS U01 HL098179NHLBI NIH HHS U01 HL100406NHLBI NIH HHS UM1 HL098179NIDDK NIH HHS R01 DK091374NIGMS NIH HHS R01 GM059290NIGMS NIH HHS R01 GM104390NIGMS NIH HHS R01 GM59290NIMH NIH HHS R01 MH094400NIMH NIH HHS R01 MH099134
6 · The paper itself

Abstract

High-throughput sequencing of related individuals has become an important tool for studying human disease. However, owing to technical complexity and lack of available tools, most pedigree-based sequencing studies rely on an ad hoc combination of suboptimal analyses. Here we present pedigree-VAAST (pVAAST), a disease-gene identification tool designed for high-throughput sequence data in pedigrees. pVAAST uses a sequence-based model to perform variant and gene-based linkage analysis. Linkage information is then combined with functional prediction and rare variant case-control association information in a unified statistical framework. pVAAST outperformed linkage and rare-variant association tests in simulations and identified disease-causing genes from whole-genome sequence data in three human pedigrees with dominant, recessive and de novo inheritance patterns. The approach is robust to incomplete penetrance and locus heterogeneity and is applicable to a wide variety of genetic traits. pVAAST maintains high power across studies of monogenic, high-penetrance phenotypes in a single pedigree to highly polygenic, common phenotypes involving hundreds of pedigrees.

Indexed as

PedigreeBase SequenceChromosome MappingDNADNA Mutational AnalysisGenetic LinkageGenetic MarkersGenetic VariationHigh-Throughput Nucleotide SequencingMolecular Sequence DataDNAGenetic Markers

Identifiers

PMID24837662
PMCPMC4157619

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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.