Evidence map›Paper›PMID 25293720›Full record

ArticleEuropean journal of human genetics : EJHG2015

Rare variant genotype imputation with thousands of study-specific whole-genome sequences: implications for cost-effective study designs.

Giorgio Pistis, Eleonora Porcu, Scott I Vrieze, Carlo Sidore, Maristella Steri, Fabrice Danjou, Fabio Busonero, Antonella Mulas, Magdalena Zoledziewska, Andrea Maschio and 16 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 4 pooled it
5.8field-weighted citation impact, top 4% of its field
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

79 citing papers in PubMed, 4 syntheses or guidelines pooled it, 113 citations in OpenAlex.

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19 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

26 authors at 5 institutions in 2 countries.

Giorgio Pistis1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA [3] Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy.
Eleonora Porcu1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA [3] Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy.
Scott I VriezeCenter for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.
Carlo Sidore1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA [3] Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy.
Maristella SteriIstituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy.
Fabrice DanjouIstituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy.
Fabio Busonero1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.
Antonella Mulas1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy.
Magdalena ZoledziewskaIstituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy.
Andrea Maschio1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.
Christine BrennanUniversity of Michigan Sequencing Core, University of Michigan Medical School, Ann Arbor, MI, USA.
Sandra LaiIstituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy.
Michael B MillerDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Marco MarcelliCRS4, Parco tecnologico della Sardegna, Pula, Cagliari, Italy.
Maria Francesca UrruCRS4, Parco tecnologico della Sardegna, Pula, Cagliari, Italy.
Maristella PitzalisIstituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy.
Robert H LyonsUniversity of Michigan Sequencing Core, University of Michigan Medical School, Ann Arbor, MI, USA.
Hyun M KangCenter for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.
Chris M JonesCRS4, Parco tecnologico della Sardegna, Pula, Cagliari, Italy.
Andrea Angius1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] University of Michigan Sequencing Core, University of Michigan Medical School, Ann Arbor, MI, USA.
William G IaconoDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
David SchlessingerLaboratory of Genetics, NIA, Baltimore, MD, USA.
Matt McGueDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Francesco Cucca1] Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy [2] Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy.
Gonçalo R AbecasisCenter for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.
Serena SannaIstituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy.
Institute of Genetic and Biomedical Research · ITUniversity of Michigan–Ann Arbor · USSardegna Ricerche (Italy) · ITUniversity of Minnesota · USUniversity of Sassari · IT

Funding

Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Twin Family Study of Vulnerability to Substance AbuseR37DA005147 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2009 to 2018
$6.4M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaU01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2017 to 2018
$6.3M
Aging-related Traits and Disease Risk Factors in a Sardinian Population CohortZIAAG000675 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2021
$5.7M
Robust Software Tools for Variant Identification and Functional AssessmentU01HG006513 · NHGRI · UNIVERSITY OF UTAH · PI ABECASIS, GONCALO, MARTH, GABOR T · 2012 to 2015
$4.2M
Genetics of Lipid Levels: Draft Sequencing of 1000 GenomesRC2HG005581 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2009 to 2010
$4.0M
Computational and statistical models for human geneticsR01HG007022 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2012 to 2016
$3.0M
Modular Software for Sequence Data Quality Checking Alignment & Variant-CallingRC2HG005552 · NHGRI · BOSTON COLLEGE · PI ABECASIS, GONCALO, MARTH, GABOR T · 2009 to 2012
$2.4M
Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentR01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2011 to 2011
$1.6M
Delineating Gene, Environment, & Development Interplay in Substance Use DisordersR01DA034606 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HICKS, BRIAN M · 2013 to 2015
$706k
NHGRI NIH HHS HG005552NHGRI NIH HHS HG005581NHGRI NIH HHS HG006513NHGRI NIH HHS HG007022NHGRI NIH HHS R01 HG007022NHGRI NIH HHS RC2 HG005552NHGRI NIH HHS RC2 HG005581NHGRI NIH HHS U01 HG006513NHLBI NIH HHS R01 HL117626NHLBI NIH HHS U01 HL117626NIA NIH HHS N01 AG012109NIA NIH HHS N01-AG-1-2109NIDA NIH HHS DA 024417NIDA NIH HHS DA 034606NIDA NIH HHS HHSN271201100005CNIDA NIH HHS R01 DA024417NIDA NIH HHS R01 DA034606NIDA NIH HHS R37 DA005147NIDA NIH HHS U01 DA024417NIDDK NIH HHS R01 DK075787
6 · The paper itself

Abstract

The utility of genotype imputation in genome-wide association studies is increasing as progressively larger reference panels are improved and expanded through whole-genome sequencing. Developing general guidelines for optimally cost-effective imputation, however, requires evaluation of performance issues that include the relative utility of study-specific compared with general/multipopulation reference panels; genotyping with various array scaffolds; effects of different ethnic backgrounds; and assessment of ranges of allele frequencies. Here we compared the effectiveness of study-specific reference panels to the commonly used 1000 Genomes Project (1000G) reference panels in the isolated Sardinian population and in cohorts of European ancestry including samples from Minnesota (USA). We also examined different combinations of genome-wide and custom arrays for baseline genotypes. In Sardinians, the study-specific reference panel provided better coverage and genotype imputation accuracy than the 1000G panels and other large European panels. In fact, even gene-centered custom arrays (interrogating ~200 000 variants) provided highly informative content across the entire genome. Gain in accuracy was also observed for Minnesotans using the study-specific reference panel, although the increase was smaller than in Sardinians, especially for rare variants. Notably, a combined panel including both study-specific and 1000G reference panels improved imputation accuracy only in the Minnesota sample, and only at rare sites. Finally, we found that when imputation is performed with a study-specific reference panel, cutoffs different from the standard thresholds of MACH-Rsq and IMPUTE-INFO metrics should be used to efficiently filter badly imputed rare variants. This study thus provides general guidelines for researchers planning large-scale genetic studies.

Indexed as

Polymorphism, Single NucleotideCost-Benefit AnalysisGene FrequencyGenetics, PopulationGenome, HumanGenome-Wide Association StudyGenotypeHaplotypesHumansItalyMinnesotaResearch DesignSequence Analysis, DNAWhite People

Identifiers

PMID25293720
PMCPMC4463504
OpenAlexW2163705275

What OpenQuestion holds

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Registered trials

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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.