Evidence map›Paper›PMID 29980720›Full record

ArticleJournal of human genetics2018

A genealogical assessment of familial clustering of anorectal malformations.

Craig C Teerlink, Ryan Bernhisel, Lisa A Cannon-Albright, Michael D Rollins

Abstract read
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In one paragraph

Article in Journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. 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

4 authors.

Craig C TeerlinkGenetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA.
Ryan BernhiselMyriad Genetics, Salt Lake City, UT, 84108, USA.
Lisa A Cannon-AlbrightGenetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA.
Michael D RollinsDivision of Pediatric Surgery, Primary Children's Hospital, University of Utah, Salt Lake City, UT, 84113, USA. Michael.Rollins@hsc.utah.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial recurrence of anorectal malformations (ARMs) has been reported in single institution case series and in two population-based studies. Here, we investigate the familial aggregation of ARMs using well-established, unbiased methods in a population genealogy of Utah. Study subjects included 255 ARM cases identified from among the two largest healthcare providers in Utah with linked genealogy data using International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. The genealogical index of familiality (GIF) statistic, which compares the average pair-wise relatedness of cases to sets of matched controls, was used to test excess familial clustering. We also estimated relative risks (RRs) for ARM and associated phenotypes in relatives of cases adjusting for age-, sex-, and birthplace. Significant excess familial clustering was observed for all ARM subjects (GIF p < 1e-3). Significant RR estimates for ARM (RR = 15.6, p = 3.3e-6), and for almost all co-morbid birth defects previously associated with ARM, were observed among first-degree relatives of ARM case subjects. This genealogically-based population survey of familial aggregation of ARMs confirms the presence of a heritable component to ARMs and provides unbiased risk estimates to relatives of cases, which may have clinical utility.

Indexed as

PedigreeAnorectal MalformationsFemaleHumansMaleRisk FactorsUtah

Identifiers

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.