Evidence map›Paper›PMID 15811251›Full record

ReviewCurrent atherosclerosis reports2005

Complex phenotypes and complex genetics: an introduction to genetic studies of complex traits.

John W Belmont, Suzanne M Leal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

John W BelmontDepartment of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. jbelmont@bcm.tmc.edu
Suzanne M Leal

Funding

A Human Haplotype Map by a Highly Multiplexed MethodU54HG002755 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2002 to 2004
$9.2M
GENETIC STUDIES OF COMMON CONGENITAL HEART DEFECTSR01HD039056 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI BELMONT, JOHN WILLIAM · 2000 to 2004
$4.5M
Novel Genomic Disorders Causing Cardiovascular MalformationsR01HL091771 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BELMONT, JOHN WILLIAM · 2008 to 2011
$1.5M
NHGRI NIH HHS U54 HG002755NHLBI NIH HHS R01 HL091771NICHD NIH HHS R01 HD039056
6 · The paper itself

Abstract

There is currently intense interest in the genetic factors contributing to many diseases with cardiovascular complications. Diseases like atherosclerosis, diabetes, and hypertension are referred to as complex traits because multiple genes contribute to the phenotype either individually or through interactions with each other or the environment. Enabled and energized by the striking successes over the past 20 years in identifying genes that are responsible for single gene traits, many geneticists have turned to the investigation of methods that will allow for the dissection of complex traits. There have already been some successes, so there is no reason to consider the problem as inherently intractable. However, it is important to reflect on what conditions are necessary for the identification of genes that operate in complex traits. A recurring theme in this research area has been difficulty in repeating and validating research findings, and this most often can be attributed to limitations in study design. It is also important to consider that any particular research strategy can only hope to describe a portion of factors that contribute to variation in the population; therefore, the genetic approach cannot be a panacea. New efficient technologies for genotyping and public databases describing the fine structure of genetic correlations in the genome should aid many aspects of the gene discovery process.

Indexed as

Genetic Predisposition to DiseasePhenotypeResearch DesignGenetics, MedicalGenetic VariationHumansMultifactorial Inheritance

Identifiers

What OpenQuestion holds

Textmetadata
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.