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Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female‐Specific Health Conditions

Authors :
Brenda Xiao
Digna R. Velez Edwards
Anastasia Lucas
Theodore Drivas
Kathryn Gray
Brendan Keating
Chunhua Weng
Gail P. Jarvik
Hakon Hakonarson
Leah Kottyan
Noemie Elhadad
Wei‐Qi Wei
Yuan Luo
Dokyoon Kim
Marylyn Ritchie
Shefali Setia Verma
Goncalo Abecasis
Aris Baras
Michael Cantor
Giovanni Coppola
Andrew Deubler
Aris Economides
Katia Karalis
Luca A. Lotta
John D. Overton
Jeffrey G. Reid
Katherine Siminovitch
Alan Shuldiner
Christina Beechert
Caitlin Forsythe
Erin D. Fuller
Zhenhua Gu
Michael Lattari
Alexander Lopez
Maria Sotiropoulos Padilla
Manasi Pradhan
Kia Manoochehri
Thomas D. Schleicher
Louis Widom
Sarah E. Wolf
Ricardo H. Ulloa
Amelia Averitt
Nilanjana Banerjee
Dadong Li
Sameer Malhotra
Deepika Sharma
Jeffrey Staples
Xiaodong Bai
Suganthi Balasubramanian
Suying Bao
Boris Boutkov
Siying Chen
Gisu Eom
Lukas Habegger
Alicia Hawes
Shareef Khalid
Olga Krasheninina
Rouel Lanche
Adam J. Mansfield
Evan K. Maxwell
George Mitra
Mona Nafde
Sean O’Keeffe
Max Orelus
Razvan Panea
Tommy Polanco
Ayesha Rasool
William Salerno
Jeffrey C. Staples
Kathie Sun
Joshua Backman
Amy Damask
Lee Dobbyn
Manuel Allen Revez Ferreira
Arkopravo Ghosh
Christopher Gillies
Lauren Gurski
Eric Jorgenson
Hyun Min Kang
Michael Kessler
Jack Kosmicki
Alexander Li
Nan Lin
Daren Liu
Adam Locke
Jonathan Marchini
Anthony Marcketta
Joelle Mbatchou
Arden Moscati
Charles Paulding
Carlo Sidore
Eli Stahl
Kyoko Watanabe
Bin Ye
Blair Zhang
Andrey Ziyatdinov
Ariane Ayer
Aysegul Guvenek
George Hindy
Jan Freudenberg
Jonas Bovijn
Kavita Praveen
Manav Kapoor
Mary Haas
Moeen Riaz
Niek Verweij
Olukayode Sosina
Parsa Akbari
Priyanka Nakka
Sahar Gelfman
Sujit Gokhale
Tanima De
Veera Rajagopal
Gannie Tzoneva
Juan Rodriguez‐Flores
Shek Man Chim
Valerio Donato
Daniel Fernandez
Giusy Della Gatta
Alessandro Di Gioia
Kristen Howell
Lori Khrimian
Minhee Kim
Hector Martinez
Lawrence Miloscio
Sheilyn Nunez
Elias Pavlopoulos
Trikaldarshi Persaud
Esteban Chen
Marcus B. Jones
Michelle G. LeBlanc
Jason Mighty
Lyndon J. Mitnaul
Nirupama Nishtala
Nadia Rana
Source :
Journal of the American Heart Association. 12
Publication Year :
2023
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2023.

Abstract

Background Cardiometabolic diseases are highly comorbid, but their relationship with female‐specific or overwhelmingly female‐predominant health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. This study aimed to estimate the cross‐trait genetic overlap and influence of genetic burden of cardiometabolic traits on health conditions unique to women. Methods and Results Using electronic health record data from 71 008 ancestrally diverse women, we examined relationships between 23 obstetrical/gynecological conditions and 4 cardiometabolic phenotypes (body mass index, coronary artery disease, type 2 diabetes, and hypertension) by performing 4 analyses: (1) cross‐trait genetic correlation analyses to compare genetic architecture, (2) polygenic risk score–based association tests to characterize shared genetic effects on disease risk, (3) Mendelian randomization for significant associations to assess cross‐trait causal relationships, and (4) chronology analyses to visualize the timeline of events unique to groups of women with high and low genetic burden for cardiometabolic traits and highlight the disease prevalence in risk groups by age. We observed 27 significant associations between cardiometabolic polygenic scores and obstetrical/gynecological conditions (body mass index and endometrial cancer, body mass index and polycystic ovarian syndrome, type 2 diabetes and gestational diabetes, type 2 diabetes and polycystic ovarian syndrome). Mendelian randomization analysis provided additional evidence of independent causal effects. We also identified an inverse association between coronary artery disease and breast cancer. High cardiometabolic polygenic scores were associated with early development of polycystic ovarian syndrome and gestational hypertension. Conclusions We conclude that polygenic susceptibility to cardiometabolic traits is associated with elevated risk of certain female‐specific health conditions.

Details

ISSN :
20479980
Volume :
12
Database :
OpenAIRE
Journal :
Journal of the American Heart Association
Accession number :
edsair.doi...........b732985721d6ef5cd9a51a45684ec090
Full Text :
https://doi.org/10.1161/jaha.121.026561