Literature DB >> 34167169

Exome sequence association study of levels and longitudinal change of cardiovascular risk factor phenotypes in European Americans and African Americans from the Atherosclerosis Risk in Communities Study.

Elena V Feofanova1, Elise Lim2, Han Chen1,3, MinJae Lee4, Ching-Ti Liu2, L Adrienne Cupples2,5, Eric Boerwinkle1,6.   

Abstract

Cardiovascular disease (CVD) is responsible for 31% of all deaths worldwide. Among CVD risk factors are age, race, increased systolic blood pressure (BP), and dyslipidemia. Both BP and blood lipids levels change with age, with a dose-dependent relationship between the cumulative exposure to hyperlipidemia and the risk of CVD. We performed an exome sequence association study using longitudinal data with up to 7805 European Americans (EAs) and 3171 African Americans (AAs) from the Atherosclerosis Risk in Communities (ARIC) study. We assessed associations of common (minor allele frequency > 5%) nonsynonymous and splice-site variants and gene-based sets of rare variants with levels and with longitudinal change of seven CVD risk factor phenotypes (BP traits: systolic BP, diastolic BP, pulse pressure; lipids traits: triglycerides, total cholesterol, high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C]). Furthermore, we investigated the relationship of the identified variants and genes with select CVD endpoints. We identified two novel genes: DCLK3 associated with the change of HDL-C levels in AAs and RAB7L1 associated with the change of LDL-C levels in EAs. RAB7L1 is further associated with an increased risk of heart failure in ARIC EAs. Investigation of the contribution of genetic factors to the longitudinal change of CVD risk factor phenotypes promotes our understanding of the etiology of CVD outcomes, stressing the importance of incorporating the longitudinal structure of the cohort data in future analyses.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  exome sequencing; lipids; longitudinal analysis

Mesh:

Year:  2021        PMID: 34167169      PMCID: PMC9047057          DOI: 10.1002/gepi.22390

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.344


  68 in total

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Authors:  Yong-Moon Mark Park; Xuemei Sui; Junxiu Liu; Haiming Zhou; Peter F Kokkinos; Carl J Lavie; James W Hardin; Steven N Blair
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2.  Whole-genome sequencing study of serum peptide levels: the Atherosclerosis Risk in Communities study.

Authors:  Paul S de Vries; Bing Yu; Elena V Feofanova; Ginger A Metcalf; Michael R Brown; Atefeh L Zeighami; Xiaoming Liu; Donna M Muzny; Richard A Gibbs; Eric Boerwinkle; Alanna C Morrison
Journal:  Hum Mol Genet       Date:  2017-09-01       Impact factor: 6.150

3.  Age-related changes in mean corpuscular volume in adult whites and African Americans.

Authors:  Alyssa A Gamaldo; Luigi Ferrucci; Joseph M Rifkind; Alan B Zonderman
Journal:  J Am Geriatr Soc       Date:  2011-09       Impact factor: 5.562

4.  A summary of the effects of antihypertensive medications on measured blood pressure.

Authors:  Jun Wu; Aldi T Kraja; Al Oberman; Cora E Lewis; R Curtis Ellison; Donna K Arnett; Gerardo Heiss; Jean-Marc Lalouel; Stephen T Turner; Steven C Hunt; Michael A Province; D C Rao
Journal:  Am J Hypertens       Date:  2005-07       Impact factor: 2.689

5.  A genetic variant on chromosome 9p21 and incident heart failure in the ARIC study.

Authors:  Kazumasa Yamagishi; Aaron R Folsom; Wayne D Rosamond; Eric Boerwinkle
Journal:  Eur Heart J       Date:  2009-03-26       Impact factor: 29.983

6.  An investigation of coronary heart disease in families. The Framingham offspring study.

Authors:  W B Kannel; M Feinleib; P M McNamara; R J Garrison; W P Castelli
Journal:  Am J Epidemiol       Date:  1979-09       Impact factor: 4.897

7.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators.

Authors: 
Journal:  Am J Epidemiol       Date:  1989-04       Impact factor: 4.897

8.  dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations.

Authors:  Xiaoming Liu; Xueqiu Jian; Eric Boerwinkle
Journal:  Hum Mutat       Date:  2013-07-10       Impact factor: 4.878

9.  Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.

Authors:  Jeannette Simino; Gang Shi; Joshua C Bis; Daniel I Chasman; Georg B Ehret; Xiangjun Gu; Xiuqing Guo; Shih-Jen Hwang; Eric Sijbrands; Albert V Smith; Germaine C Verwoert; Jennifer L Bragg-Gresham; Gemma Cadby; Peng Chen; Ching-Yu Cheng; Tanguy Corre; Rudolf A de Boer; Anuj Goel; Toby Johnson; Chiea-Chuen Khor; Carla Lluís-Ganella; Jian'an Luan; Leo-Pekka Lyytikäinen; Ilja M Nolte; Xueling Sim; Siim Sõber; Peter J van der Most; Niek Verweij; Jing Hua Zhao; Najaf Amin; Eric Boerwinkle; Claude Bouchard; Abbas Dehghan; Gudny Eiriksdottir; Roberto Elosua; Oscar H Franco; Christian Gieger; Tamara B Harris; Serge Hercberg; Albert Hofman; Alan L James; Andrew D Johnson; Mika Kähönen; Kay-Tee Khaw; Zoltan Kutalik; Martin G Larson; Lenore J Launer; Guo Li; Jianjun Liu; Kiang Liu; Alanna C Morrison; Gerjan Navis; Rick Twee-Hee Ong; George J Papanicolau; Brenda W Penninx; Bruce M Psaty; Leslie J Raffel; Olli T Raitakari; Kenneth Rice; Fernando Rivadeneira; Lynda M Rose; Serena Sanna; Robert A Scott; David S Siscovick; Ronald P Stolk; Andre G Uitterlinden; Dhananjay Vaidya; Melanie M van der Klauw; Ramachandran S Vasan; Eranga Nishanthie Vithana; Uwe Völker; Henry Völzke; Hugh Watkins; Terri L Young; Tin Aung; Murielle Bochud; Martin Farrall; Catharina A Hartman; Maris Laan; Edward G Lakatta; Terho Lehtimäki; Ruth J F Loos; Gavin Lucas; Pierre Meneton; Lyle J Palmer; Rainer Rettig; Harold Snieder; E Shyong Tai; Yik-Ying Teo; Pim van der Harst; Nicholas J Wareham; Cisca Wijmenga; Tien Yin Wong; Myriam Fornage; Vilmundur Gudnason; Daniel Levy; Walter Palmas; Paul M Ridker; Jerome I Rotter; Cornelia M van Duijn; Jacqueline C M Witteman; Aravinda Chakravarti; Dabeeru C Rao
Journal:  Am J Hum Genet       Date:  2014-06-19       Impact factor: 11.025

10.  Hepatic Tm6sf2 overexpression affects cellular ApoB-trafficking, plasma lipid levels, hepatic steatosis and atherosclerosis.

Authors:  Nicole Ehrhardt; Michael E Doche; Shuang Chen; Hui Z Mao; Meghan T Walsh; Candy Bedoya; Maha Guindi; Weidong Xiong; Joseph Ignatius Irudayam; Jahangir Iqbal; Sebastien Fuchs; Samuel W French; M Mahmood Hussain; Moshe Arditi; Vaithilingaraja Arumugaswami; Miklós Péterfy
Journal:  Hum Mol Genet       Date:  2017-07-15       Impact factor: 5.121

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