Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

View all journals
Search
Log in

nature
search

Search

Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Nature Genetics (2)
Nature Communications (1)
Nature (1)

Choose more journals

Article type Check one or more article types to show results from those article types only.

Research (4)

Subject Check one or more subjects to show results from those subjects only.

Cardiology
Computational biology and bioinformatics
Diseases
Genetics
Systems biology

Date Choose a date option to show results from those dates only.

Today
Last 7 days
Last 30 days
Last 12 months
Last 2 years
Last 5 years

Custom date range

Clear all filters

Sort by:

Relevance

Date published (new to old)

Date published (old to new)

Showing 1–4 of 4 results

Advanced filters: Author: Helene Mantineo Clear advanced filters

Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

Seung Hoan Choi
Sean J. Jurgens
Patrick T. Ellinor
Research06 Mar 2025
Nature Genetics

Volume: 57, P: 548-562
Large-scale single-nuclei profiling identifies role for ATRNL1 in atrial fibrillation

Characterizing atrial fibrillation (AF) at the single cell level is challenging. Here, the authors perform snRNA-seq on 18 patients with AF to investigate the cell composition, and gene expression shifts associated with this common arrhythmia.

Matthew C. Hill
Bridget Simonson
Patrick T. Ellinor
ResearchOpen Access19 Nov 2024
Nature Communications

Volume: 15, P: 1-16
Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases

Genome-wide association meta-analyses identify more than 350 loci associated with atrial fibrillation. A polygenic score derived from these results improves atrial fibrillation risk prediction compared to published clinical and polygenic scores.

Carolina Roselli
Ida Surakka
Patrick T. Ellinor
Research06 Mar 2025
Nature Genetics

Volume: 57, P: 539-547
Transfer learning enables predictions in network biology

A context-aware, attention-based deep learning model pretrained on single-cell transcriptomes enables predictions in settings with limited data in network biology and could accelerate discovery of key network regulators and candidate therapeutic targets.

Christina V. Theodoris
Ling Xiao
Patrick T. Ellinor
Research31 May 2023
Nature

Volume: 618, P: 616-624