Evidence map›Paper›PMID 25599666›Full record

ReviewCurrent protocols in human genetics2015

Statistical methods for genome-wide and sequencing association studies of complex traits in related samples.

Timothy A Thornton

Abstract readReview
In one paragraph

Review in Current protocols in human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

1 author.

Timothy A ThorntonDepartment of Biostatistics, University of Washington, Seattle, Washington.

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
Statistical Methods for Cancer Genetic Association Studies with Hidden PopulationK01CA148958 · NCI · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2010 to 2014
$682k
NCI NIH HHS K01 CA148958NCI NIH HHS K01CA148958NHGRI NIH HHS P01 HG0099568NIGMS NIH HHS P01 GM099568
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) and sequencing studies are routinely conducted for the identification of genetic variants that are associated with complex traits. Many genetic studies for association mapping include related individuals. When relatives are included in an association analysis, familial correlations must be appropriately taken into account to ensure correct type I error and to increase power. This unit provides an overview of statistical methods that are available for GWAS and sequencing association studies of complex traits in samples with related individuals.

Indexed as

Models, GeneticQuantitative Trait, HeritableQuantitative Trait LociCase-Control StudiesData Interpretation, StatisticalFamilyFemaleGenetic VariationGenome-Wide Association StudyHumansMalePhenotypeSequence Analysis, DNAassociation mappingcomplex traitsfamily datagenome-wide association studiesGWASmixed modelsrelatednesssequence

Identifiers

PMID25599666
PMCPMC4327940

What Socratic holds

Textmetadata
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 Socratic graph.