Evidence map›Paper›PMID 22243791›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2012

Molecular genetic studies of complex phenotypes.

Ali J Marian

Abstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
14.6field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 146 citations in OpenAlex.

  1. Trial
  2. Article
  3. The Biological Properties of theFoods (Basel, Switzerland) · 2025
    Article
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  6. Review
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  12. The Tiger Rattlesnake genome reveals a complex genotype underlying a simple venom phenotype.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Genomewide Association Study Identifies Cxcl Family Members as Partial Mediators of LPS-Induced Periodontitis.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2018
    Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Ali J MarianCenter for Cardiovascular Genetics, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center and Texas Heart Institute, Houston, TX 77030, USA. Ali.J.Marian@uth.tmc.edu
The University of Texas System · US

Funding

Canonical Wnt Signaling in Pathogenesis and Rescue of ARVC PhenotypeR01HL088498 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MARIAN, ALI J · 2008 to 2017
$3.4M
Hypertrophy Regression with N-Acetylcysteine in Hypertrophic CardiomyopathyR34HL105563 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MARIAN, ALI J · 2012 to 2014
$569k
Mouse Models of Non-Syndromic Cardiac ProgeriaR21AG038597 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MARIAN, ALI J · 2011 to 2012
$338k
NHLBI NIH HHS R01 HL088498NHLBI NIH HHS R34 HL105563NIA NIH HHS R21 AG038597NIA NIH HHS R21 AG038597-01PHS HHS R01-088498
6 · The paper itself

Abstract

The approach to molecular genetic studies of complex phenotypes evolved considerably during the recent years. The candidate gene approach, which is restricted to an analysis of a few single-nucleotide polymorphisms (SNPs) in a modest number of cases and controls, has been supplanted by the unbiased approach of genome-wide association studies (GWAS), wherein a large number of tagger SNPs are typed in many individuals. GWAS, which are designed on the common disease-common variant hypothesis (CD-CV), identified several SNPs and loci for complex phenotypes. However, the alleles identified through GWAS are typically not causative but rather in linkage disequilibrium (LD) with the true causal variants. The common alleles, which may not capture the uncommon and rare variants, account only for a fraction of heritability of the complex traits. Hence, the focus is being shifted to rare variants-common disease (RV-CD) hypothesis, surmising that rare variants exert large effect sizes on the phenotype. In conjunctional with this conceptual shift, technologic advances in DNA sequencing techniques have dramatically enhanced whole genome or whole exome sequencing capacity. The sequencing approach affords identification of not only the rare but also the common variants. The approach-whether used in complementation with GWAS or as a stand-alone approach-could define the genetic architecture of the complex phenotypes. Robust phenotyping and large-scale sequencing studies are essential to extract the information content of the vast number of DNA sequence variants (DSVs) in the genome. To garner meaningful clinical information and link the genotype to a phenotype, the identification and characterization of a large number of causal fields beyond the information content of DNA sequence variants would be necessary. This review provides an update on the current progress and limitations in identifying DSVs that are associated with phenotypic effects.

Indexed as

Sequence Analysis, DNAAllelesBase SequenceCase-Control StudiesDatabases, GeneticExomeGenetic Predisposition to DiseaseGenetic VariationGenome, HumanGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID22243791
PMCPMC3259530
OpenAlexW2030661635

What OpenQuestion holds

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LicenceTDM
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 OpenQuestion graph.