Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 555

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Identification of a Genetic Locus for Familial Atrial Fibrillation

Open access
Brugada, Ramon, Tapscott, Terry, Czernuszewicz, Grazyna Z., Marian, A.J., Iglesias, Anna, Mont, Lluis, Brugada, Josep, Girona, Josep, Domingo, Anna, Bachinski, Linda L., Roberts, Robert·1997·New England Journal of Medicine

Abstract

BACKGROUND: Atrial fibrillation, the most common sustained cardiac-rhythm disturbance, affects over 2 million Americans and accounts for one third of all strokes in patients over 65 years of age. The molecular basis for atrial fibrillation is unknown, and palliative therapy is used to control the ventricular rate and prevent systemic emboli. We identified a family of 26 members of whom 10 had atrial fibrillation which segregated as an autosomal dominant disease. We subsequently identified two additional families in which the disease was linked to the same locus. METHODS: We screened the human genome with 300 polymorphic dinucleotide-repeat markers using an unconventional strategy of pooling the DNA samples into two groups (affected and unaffected), which reduced the sample size by approximately 90 percent, before performing linkage analysis to map the locus. This made it possible to identify potential loci within a few weeks. RESULTS: The lod scores for markers D10S569 and D10S607, located at 10q22-q24, were 3.60 in Family 1. The disease locus in Families 2 and 3 was also linked to the same markers, with lod scores of 6.02 and 5.35 for markers D10S569 and D10S607, respectively, when data on all three families were combined. Haplotype analysis of the three families showed that the locus was between D10S1694 and D10S1786, an interval of 11.3 centimorgans. CONCLUSIONS: Identification of the gene for familial atrial fibrillation will help to elucidate the molecular basis of the disease and provide insights into acquired forms. The strategy of pooling DNA samples for analysis is more time and cost effective than conventional screening and should accelerate the process of gene mapping in the future.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1056/nejm199703273361302

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

See all 555

Metadata

Authors
Brugada, R., Tapscott, T., Czernuszewicz, G. Z., Marian, A. J., Iglesias, A., Mont, L., Brugada, J., Girona, J., Domingo, A., Bachinski, L. L., & Roberts, R.
Venue
New England Journal of Medicine
Published
1997-03-27
Volume
336
Issue
13
Pages
905-911
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2337236768
Cited by
555
References
12
FWCI
13.95
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Identification of a Genetic Locus for Familial Atrial Fibrillation. https://app.cochat.ai/papers/10.1056/nejm199703273361302
The paper
Brugada, R., Tapscott, T., Czernuszewicz, G. Z., Marian, A. J., Iglesias, A., Mont, L., Brugada, J., Girona, J., Domingo, A., Bachinski, L. L., & Roberts, R. (1997). Identification of a Genetic Locus for Familial Atrial Fibrillation. New England Journal of Medicine. https://doi.org/10.1056/nejm199703273361302

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.