Evidence map›Paper›PMID 22983955›Full record

ReviewHuman molecular genetics2012

Exome sequencing and complex disease: practical aspects of rare variant association studies.

Ron Do, Sekar Kathiresan, Gonçalo R Abecasis

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

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

  1. Pooled it
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  14. Informatics and machine learning to define the phenotype.Expert review of molecular diagnostics · 2018
    Review
  15. Reconsidering the causality of TIA1 mutations in ALS.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2018
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

16 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

3 authors.

Ron DoCenter for Human Genetic Research and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
Sekar Kathiresan
Gonçalo R Abecasis

Funding

Robust Software Tools for Variant Identification and Functional AssessmentU01HG006513 · NHGRI · UNIVERSITY OF UTAH · PI ABECASIS, GONCALO, MARTH, GABOR T · 2012 to 2015
$4.2M
Computational and statistical models for human geneticsR01HG007022 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2012 to 2016
$3.0M
Discovery of Mendelian Dyslipidemia and Heart Attack Genes Using Exome SequencingR01HL107816 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KATHIRESAN, SEKAR · 2011 to 2015
$2.7M
CIHRNHGRI NIH HHS R01 HG007022NHGRI NIH HHS U01 HG006513NHLBI NIH HHS R01 HL107816
6 · The paper itself

Abstract

Genetic association and linkage studies can provide insights into complex disease biology, guiding the development of new diagnostic and therapeutic strategies. Over the past decade, genetic association studies have largely focused on common, easy to measure genetic variants shared between many individuals. These common variants typically have subtle functional consequence and translating the resulting association signals into biological insights can be challenging. In the last few years, exome sequencing has emerged as a cost-effective strategy for extending these studies to include rare coding variants, which often have more marked functional consequences. Here, we provide practical guidance in the design and analysis of complex trait association studies focused on rare, coding variants.

Indexed as

Genome-Wide Association StudySequence Analysis, DNAChromosome MappingExomeGenetic LinkageGenetic Predisposition to DiseaseGenetic VariationHumansResearch Design

Identifiers

PMID22983955
PMCPMC3459641

What OpenQuestion holds

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LicenceCC BY-NC
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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.