Evidence map›Paper›PMID 19622893›Full record

ArticleHuman heredity2009

A new method to account for missing data in case-parent triad studies.

T L Bergemann, Z Huang

Abstract read
In one paragraph

Article in Human heredity, 2009. 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. Statistical count models for prognosis the risk factors of hepatitis C.Gastroenterology and hepatology from bed to bench · 2013
    Article
  3. Article
  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

2 authors.

T L BergemannBiostatistics, University of Minnesota, Minneapolis, MN 55455, USA. berge319@umn.edu
Z Huang

Funding

Genetic Epidemiology of OsteosarcomaU01CA122371 · NCI · UNIVERSITY OF MINNESOTA · PI SPECTOR, LOGAN G. · 2007 to 2010
$1.7M
NCI NIH HHS 1-U01-CA122371-01NCI NIH HHS U01 CA122371
6 · The paper itself

Abstract

BACKGROUND/

aimsThe case-parent triad design is commonly used in genetic association studies. Generally, samples are drawn from an affected offspring, manifesting a phenotype of interest, as well as from the parents. The trio genotypes may be analyzed using a variety of available methods, but we focus on log-linear models because they test for genetic association and additionally estimate the relative risks of transmission. The models need to be modified to adjust for missing genotypes. Furthermore, instability in the parameter estimates can arise when certain kinds of genotype combinations do not appear in the dataset.

methodsIn this paper, we kill two birds with one stone. We propose a new method to simultaneously account for missing genotype data and genotype combinations with zero counts. This method solves a zero-inflated Poisson (ZIP) regression likelihood. The maximum likelihood estimates yield relative risks and the information matrix gives appropriate variance estimates for inference. A likelihood ratio test determines the significance of genetic association.

resultsWe compared the ZIP regression to previously proposed methods in both simulation studies and in a dataset that investigates the risk of orofacial clefts. The ZIP likelihood estimates regression coefficients with less bias than other methods when the minor allele frequency is small.

Indexed as

Genetic Predisposition to DiseaseGenetic TechniquesParentsComputer SimulationConfidence IntervalsCytochrome P-450 CYP1A1HumansPolymorphism, Single NucleotideCytochrome P-450 CYP1A1

Identifiers

PMID19622893
PMCPMC2943516

What OpenQuestion holds

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Registered trials

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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.