Literature DB >> 28678986

Association of a Family History of Atrial Fibrillation With Incidence and Outcomes of Atrial Fibrillation: A Population-Based Family Cohort Study.

Shang-Hung Chang1,2, Chang-Fu Kuo3,4, I-Jun Chou5, Lai-Chu See6,7, Kuang-Hui Yu4, Shue-Fen Luo4, Lu-Hsiang Huang8, Weiya Zhang3, Michael Doherty3, Ming-Shien Wen1,2, Chi-Tai Kuo1,2, Yung-Hsin Yeh1,2.   

Abstract

Importance: The heritability of atrial fibrillation (AF), the contribution of genetic and environmental factors, and the association of a family history of AF with prognosis are unclear.
Objectives: To measure genetic and environmental factors in the familial aggregation of AF and to estimate the association of a family history of AF with major adverse cardiovascular events (MACE). Design, Setting, and Participants: In this Taiwanese nationwide population-based study among more than 23 million people, a custom data set was obtained using the data of all patients having a diagnosis of AF recorded between January 1996 and December 2013 in the Taiwan National Health Insurance Research Database. The study population comprised all 23 422 955 individuals registered with the database in 2013, of whom 177 770 had a diagnosis of AF and were included in the heritability estimation. From the latter, a subgroup of patients having newly diagnosed AF with a first-degree relative affected by AF between 2000 and 2010 were selected and matched 1:4 to controls without a family history for estimating MACE-free survival. The dates of analysis were January 2010 to December 2013. Main Outcomes and Measures: The prevalence and relative risk of AF in relatives of patients with AF, as well as the relative contributions of heritability and shared and nonshared environmental factors to AF susceptibility. Also measured was MACE-free survival after AF was diagnosed.
Results: In total, 1510 patients (204 [13.5%] female; mean [SD] age, 57.9 [9.2] years) had newly diagnosed AF with a first-degree relative affected by AF. Individuals with a first-degree relative affected by AF had a relative risk of 1.92 (95% CI, 1.84-1.99) for AF. The accountability for the phenotypic variance of AF was 19.9% for genetic factors (heritability), 3.5% for shared environmental factors, and 76.6% for nonshared environmental factors. After matching for age, sex, hypertension, type 2 diabetes, previous stroke, and anticoagulation, incident AF patients with vs without an affected first-degree relative had similar MACE-free survival. Conclusions and Relevance: Genetic and environmental factors were associated with AF, with nonshared environmental factors accounting for three-fourths of the phenotypic variance in Taiwan. Patients having AF with a first-degree relative affected by AF did not have more MACE. Therefore, family history may not be particularly informative in the diagnosis or management of AF.

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Year:  2017        PMID: 28678986      PMCID: PMC5710587          DOI: 10.1001/jamacardio.2017.1855

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  31 in total

1.  Familial aggregation of lone atrial fibrillation in young persons.

Authors:  Nina Oyen; Mattis F Ranthe; Lisbeth Carstensen; Heather A Boyd; Morten S Olesen; Søren-Peter Olesen; Jan Wohlfahrt; Mads Melbye
Journal:  J Am Coll Cardiol       Date:  2012-06-20       Impact factor: 24.094

Review 2.  New Appraisal of Atrial Fibrillation Burden and Stroke Prevention.

Authors:  Rod Passman; Richard A Bernstein
Journal:  Stroke       Date:  2016-01-05       Impact factor: 7.914

3.  Acute Kidney Injury in Asians With Atrial Fibrillation Treated With Dabigatran or Warfarin.

Authors:  Yi-Hsin Chan; Yung-Hsin Yeh; Lai-Chu See; Chun-Li Wang; Shang-Hung Chang; Hsin-Fu Lee; Lung-Sheng Wu; Hui-Tzu Tu; Chi-Tai Kuo
Journal:  J Am Coll Cardiol       Date:  2016-11-29       Impact factor: 24.094

Review 4.  Genetic dissection of complex traits.

Authors:  E S Lander; N J Schork
Journal:  Science       Date:  1994-09-30       Impact factor: 47.728

5.  Parental atrial fibrillation as a risk factor for atrial fibrillation in offspring.

Authors:  Caroline S Fox; Helen Parise; Ralph B D'Agostino; Donald M Lloyd-Jones; Ramachandran S Vasan; Thomas J Wang; Daniel Levy; Philip A Wolf; Emelia J Benjamin
Journal:  JAMA       Date:  2004-06-16       Impact factor: 56.272

6.  Thromboembolic, Bleeding, and Mortality Risks of Rivaroxaban and Dabigatran in Asians With Nonvalvular Atrial Fibrillation.

Authors:  Yi-Hsin Chan; Chi-Tai Kuo; Yung-Hsin Yeh; Shang-Hung Chang; Lung-Sheng Wu; Hsin-Fu Lee; Hui-Tzu Tu; Lai-Chu See
Journal:  J Am Coll Cardiol       Date:  2016-09-27       Impact factor: 24.094

7.  Genetic variants related to height and risk of atrial fibrillation: the cardiovascular health study.

Authors:  Michael A Rosenberg; Robert C Kaplan; David S Siscovick; Bruce M Psaty; Susan R Heckbert; Christopher Newton-Cheh; Kenneth J Mukamal
Journal:  Am J Epidemiol       Date:  2014-06-18       Impact factor: 4.897

8.  Familial aggregation of atrial fibrillation: a study in Danish twins.

Authors:  Ingrid Elisabeth Christophersen; Lasse Steen Ravn; Esben Budtz-Joergensen; Axel Skytthe; Stig Haunsoe; Jesper Hastrup Svendsen; Kaare Christensen
Journal:  Circ Arrhythm Electrophysiol       Date:  2009-04-23

9.  Using summary data from the danish national registers to estimate heritabilities for schizophrenia, bipolar disorder, and major depressive disorder.

Authors:  Naomi R Wray; Irving I Gottesman
Journal:  Front Genet       Date:  2012-07-02       Impact factor: 4.599

10.  High familial risk of atrial fibrillation/atrial flutter in multiplex families: a nationwide family study in Sweden.

Authors:  Bengt Zöller; Henrik Ohlsson; Jan Sundquist; Kristina Sundquist
Journal:  J Am Heart Assoc       Date:  2012-12-31       Impact factor: 5.501

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  5 in total

1.  Dipeptidyl peptidase-4 inhibitor decreases the risk of atrial fibrillation in patients with type 2 diabetes: a nationwide cohort study in Taiwan.

Authors:  Chia-Yu Chang; Yung-Hsin Yeh; Yi-Hsin Chan; Jia-Rou Liu; Shang-Hung Chang; Hsin-Fu Lee; Lung-Sheng Wu; Kun-Chi Yen; Chi-Tai Kuo; Lai-Chu See
Journal:  Cardiovasc Diabetol       Date:  2017-12-19       Impact factor: 9.951

2.  Ethnic differences in atrial fibrillation among patients with heart failure in Asia.

Authors:  Eugene S J Tan; Vera Goh; Bernadet T Santema; Wan Ting Tay; Tiew-Hwa Katherine Teng; Jonathan Yap; Jasper Tromp; Chung-Lieh Hung; Vijay Chopra; Inder Anand; Michael R MacDonald; Lieng Hsi Ling; Isabelle C Van Gelder; Michiel Rienstra; Adriaan A Voors; A Mark Richards; Carolyn S P Lam
Journal:  ESC Heart Fail       Date:  2020-05-08

3.  Epidemiological Characteristics of Atrial Fibrillation in Southern China: Results from the Guangzhou Heart Study.

Authors:  Hai Deng; Pi Guo; Murui Zheng; Jun Huang; Yumei Xue; Xianzhang Zhan; Feng Wang; Yang Liu; Xianhong Fang; Hongtao Liao; Wei Wei; Yuanhong Liang; Fangzhou Liu; Zili Liao; Yijing Feng; Shulin Wu
Journal:  Sci Rep       Date:  2018-12-13       Impact factor: 4.379

4.  Risk of Stroke in Patients With Atrial Fibrillation Is Associated With Stroke in Siblings: A Nationwide Study.

Authors:  John Berntsson; Xinjun Li; Bengt Zöller; Andreas Martinsson; Pontus Andell; Steven A Lubitz; Gunnar Engström; Kristina Sundquist; J Gustav Smith
Journal:  J Am Heart Assoc       Date:  2020-02-03       Impact factor: 5.501

5.  Whole-exome sequencing reveals a rare missense variant in DTNA in an Iranian pedigree with early-onset atrial fibrillation.

Authors:  Mahshid Malakootian; Masoumeh Jalilian; Samira Kalayinia; Maryam Hosseini Moghadam; Mona Heidarali; Majid Haghjoo
Journal:  BMC Cardiovasc Disord       Date:  2022-02-11       Impact factor: 2.298

  5 in total

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