Evidence map›Paper›PMID 26450338›Full record

ReviewTrends in genetics : TIG2015

Strategies for Imputing and Analyzing Rare Variants in Association Studies.

Thomas J Hoffmann, John S Witte

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Thomas J HoffmannDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA; Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143 USA. Electronic address: hoffmannt@humgen.ucsf.edu.
John S WitteDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA; Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143 USA; Department of Urology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA.

Funding

Genetic Epidemiology of Prostate Cancer Risk and ProgressionR01CA088164 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAN DEN EEDEN, STEPHEN K., WITTE, JOHN S. · 2000 to 2015
$6.1M
Genomewide Association Study of Prostate CancerU01CA127298 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2008 to 2012
$5.1M
Genome-wide Study of Hearing ImpairmentK01DC013300 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOFFMANN, THOMAS · 2013 to 2017
$1.1M
Sequencing not required: Imputing rare variants into a cohort of 100,000 on agingR21AG046616 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOFFMANN, THOMAS · 2013 to 2014
$433k
NCI NIH HHS R01 CA088164NCI NIH HHS U01 CA127298NIA NIH HHS R21 AG046616NIDCD NIH HHS K01 DC013300
6 · The paper itself

Abstract

Rare genetic variants may be responsible for a significant amount of the uncharacterized genetic risk underlying many diseases. An efficient approach to characterizing the disease burden of rare variants may be to impute them into existing large datasets. It is well known that the ability to impute a rare variant is dependent both on the array choice and number of individuals in the reference panel carrying that variant, although it is still unclear exactly how well imputation will work for rare variants. Here, we review the additional challenges that arise when imputing rare variants, looking at studies that have been able to impute rare variants, methods behind merging reference panels, approaches for imputing rare variants, and methods for analyzing rare variants.

Indexed as

GenotypeGenome, HumanGenome-Wide Association StudyGenotyping TechniquesHumansPolymorphism, Single Nucleotidegenome-wide association studygenotype imputationrare variants

Identifiers

PMID26450338
PMCPMC4600126

What OpenQuestion holds

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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.