Evidence map›Paper›PMID 32608483›Full record

ArticleAmerican journal of epidemiology2020

Methodological Issues in Population-Based Studies of Multigenerational Associations.

Glen McGee, Neil J Perkins, Sunni L Mumford, Marianthi-Anna Kioumourtzoglou, Marc G Weisskopf, Jonathan S Schildcrout, Brent A Coull, Enrique F Schisterman, Sebastien Haneuse

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Beyond Genes: Germline Disruption in the Etiology of Autism Spectrum Disorders.Journal of autism and developmental disorders · 2022
    Article
  7. Review
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

9 authors at 1 institution in 1 country.

Glen McGee
Neil J Perkins
Sunni L Mumford
Marianthi-Anna Kioumourtzoglou
Marc G Weisskopf
Jonathan S Schildcrout
Brent A Coull
Enrique F Schisterman
Sebastien Haneuse
Harvard University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Outcome Dependent Sampling Studies of Longitudinal Data: Design and AnalysisR01HL094786 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jonathan Scott Schildcrout · 2009 to 2026
$6.1M
NHLBI NIH HHS R01 HL094786NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

Laboratory-based animal research has revealed a number of exposures with multigenerational effects-ones that affect the children and grandchildren of those directly exposed. An important task for epidemiology is to investigate these relationships in human populations. Without the relative control achieved in laboratory settings, however, population-based studies of multigenerational associations have had to use a broader range of study designs. Current strategies to obtain multigenerational data include exploiting birth registries and existing cohort studies, ascertaining exposures within them, and measuring outcomes across multiple generations. In this paper, we describe the methodological challenges inherent to multigenerational studies in human populations. After outlining standard taxonomy to facilitate discussion of study designs and target exposure associations, we highlight the methodological issues, focusing on the interplay between study design, analysis strategy, and the fact that outcomes may be related to family size. In a simulation study, we show that different multigenerational designs lead to estimates of different exposure associations with distinct scientific interpretations. Nevertheless, target associations can be recovered by incorporating (possibly) auxiliary information, and we provide insights into choosing an appropriate target association. Finally, we identify areas requiring further methodological development.

Indexed as

Epidemiologic StudiesMaternal ExposurePaternal ExposureComputer SimulationFemaleHumansMaleSampling Studiesclustered dataendocrine disruptorsenvironmental exposureepidemiologic methodsmaternal exposuremultigenerational associationsstudy design

Identifiers

PMID32608483
PMCPMC7822644
OpenAlexW3038431189

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.