Evidence map›Paper›PMID 30609057›Full record

ArticleGenetic epidemiology2019

A comparison of popular TDT-generalizations for family-based association analysis.

Julian Hecker, Nan Laird, Christoph Lange

Abstract readComparative Study
In one paragraph

Article in Genetic epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Intracellular protein GBF1 displays significant associations with amyloid pathology in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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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.

Julian HeckerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0001-7918-089X
Nan LairdDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Christoph LangeDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2016 to 2020
$12.6M
Physics of collective cellular migration in lung health and diseaseP01HL120839 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI FREDBERG, JEFFREY J · 2014 to 2018
$12.2M
Preparing Association Analysis Software Tools for Next Generation Sequencing DataR01HG008976 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LANGE, CHRISTOPH · 2016 to 2018
$1.1M
NHGRI NIH HHS R01 HG008976NHGRI NIH HHS R01HG008976NHLBI NIH HHS P01 HL120839NHLBI NIH HHS P01HL120839NHLBI NIH HHS P01 HL132825NHLBI NIH HHS P01HL132825NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U01HL089897
6 · The paper itself

Abstract

The transmission disequilibrium test (TDT) is the gold standard for testing the association between a genetic variant and disease in samples consisting of affected individuals and their parents. In practice, more complex pedigree structures, that is siblings with no parents, or three-generational pedigrees with possibly missing genotypes, are common. There are several generalizations of the TDT that are suitable for use with arbitrary pedigree structures. We consider three such frequently used generalizations, family-based association test, pedigree disequilibrium test, and generalized disequilibrium test, that have accompanying software and compare them regarding validity and power in the single variant setting. We use simulations to study the effects of population admixture, populations whose genotypes are not in Hardy-Weinberg equilibrium (HWE), different pedigree structures, and the presence of linkage. Whereas our results show that some TDT generalizations can have a substantially increased Type 1 error, these tests are often used in substantive research without caveats about the validity of their Type 1 error. For the association analysis of rare variants in sequencing studies, region-based extensions of the TDT generalizations, that rely on the postulated robustness of the single variant tests, have been proposed. We discuss the implications of our results for these region-based extensions.

Indexed as

Genetic Association StudiesComputer SimulationFamilyFemaleGene FrequencyGenetic LinkageHumansLinkage DisequilibriumMaleModels, GeneticParentsPedigreeSoftwarefamily-based association testHardy-Weinberg equilibriumpopulation admixtureTDTType 1 error

Identifiers

PMID30609057
PMCPMC6599182

What Socratic 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 Socratic graph.