Evidence map›Paper›PMID 29058319›Full record

ArticleAnnals of human genetics2018

How many cases of disease in a pedigree imply familial disease?

Frank Dudbridge, Suzanne J Brown, Lynley Ward, Scott G Wilson, John P Walsh

Open access · hybridAbstract read
In one paragraph

Article in Annals of human genetics, 2018. 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
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Epidemiology of Thyroid Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  3. Review
  4. 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

5 authors at 3 institutions in 2 countries.

Frank DudbridgeDepartment of Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0002-8817-8908
Suzanne J BrownDepartment of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia.
Lynley WardDepartment of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia.
Scott G WilsonDepartment of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia.
John P WalshDepartment of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia.
Sir Charles Gairdner Hospital · AUThe University of Western Australia · AUUniversity of Leicester · GB

Funding

Medical Research Council MR/K006215/1
6 · The paper itself

Abstract

The ability to perform whole-exome and, increasingly, whole-genome sequencing on large numbers of individuals has led to increased efforts to identify rare genetic variants that affect the risk of both common and rare diseases. In such applications, it is important to identify families that are segregating the rare variants of interest. For rare diseases or rare familial forms of common diseases, pedigrees with multiple affected members are clearly harbouring risk variants. For more common diseases, however, it may be unclear whether a family with a few affected members is segregating a familial disease, is the result of multiple sporadic cases, or is a mixture of familial cases and phenocopies. We provide calculations for the probability that a family is harbouring familial disease, presented in general terms that admit working guidelines for selecting families for current sequencing studies. Using examples motivated by our own studies of thyroid cancer and published studies of colorectal cancer, we show that for common diseases, families with exactly two affected first-degree relatives have only a moderate probability of segregating familial disease, but this probability is higher for families with three or more affected relatives, and those families should therefore be prioritised in sequencing studies.

Indexed as

Genetic Predisposition to DiseaseModels, GeneticPedigreeFamily HealthHumansMutationfamilial diseasefamily historyrare variantsthyroid cancerwhole genome sequencing

Identifiers

PMID29058319
PMCPMC5813157
OpenAlexW2765296853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.