Browsing Centre for Clinical Pharmacology by Author "Haessler, J"
Now showing items 1-20 of 20
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Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval
Lin, H; van Setten, J; Smith, AV; Bihlmeyer, NA; Warren, HR; Brody, JA; Radmanesh, F; Hall, L; Grarup, N; Mueller-Nurasyid, M (2018-05) -
Defining the role of common variation in the genomic and biological architecture of adult human height
Wood, AR; Esko, T; Yang, J; Vedantam, S; Pers, TH; Gustafsson, S; Chun, AY; Estrada, K; Luan, J; Kutalik, Z (2014-11) -
Discovery of novel heart rate-associated loci using the Exome Chip
van den Berg, ME; Warren, HR; Cabrera, CP; Verweij, N; Mifsud, B; Haessler, J; Bihlmeyer, NA; Fu, Y-P; Weiss, S; Lin, HJ (2017-06-15) -
Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use
Brazel, DM; Jiang, Y; Hughey, JM; Turcot, V; Zhan, X; Gong, J; Batini, C; Weissenkampen, JD; Liu, M; Barnes, DR (2019-06-01) -
Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6
Prins, BP; Mead, TJ; Brody, JA; Sveinbjornsson, G; Ntalla, I; Bihlmeyer, NA; van den Berg, M; Bork-Jensen, J; Cappellani, S; Van Duijvenboden, S (2018-07-17) -
ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals
Bihlmeyer, NA; Brody, JA; Smith, AV; Warren, HR; Lin, H; Isaacs, A; Liu, C-T; Marten, J; Radmanesh, F; Hall, LM (2018-01) -
Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways
Young, WJ; Lahrouchi, N; Isaacs, A; Duong, TV; Foco, L; Ahmed, F; Brody, JA; Salman, R; Noordam, R; Benjamins, J-W (2022) -
Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.
Young, WJ; Haessler, J; Benjamins, J-W; Repetto, L; Yao, J; Isaacs, A; Harper, AR; Ramirez, J; Garnier, S; van Duijvenboden, S (2023-03-14)The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry ... -
Genetic Determinants of Electrocardiographic P-Wave Duration and Relation to Atrial Fibrillation.
Weng, L-C; Hall, AW; Choi, SH; Jurgens, SJ; Haessler, J; Bihlmeyer, NA; Grarup, N; Lin, H; Teumer, A; Li-Gao, R (2020-10)BACKGROUND: The P-wave duration (PWD) is an electrocardiographic measurement that represents cardiac conduction in the atria. Shortened or prolonged PWD is associated with atrial fibrillation (AF). We used exome-chip data ... -
Genetic studies of body mass index yield new insights for obesity biology
Locke, AE; Kahali, B; Berndt, SI; Justice, AE; Pers, TH; Day, FR; Powell, C; Vedantam, S; Buchkovich, ML; Yang, J (2015-02-12) -
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
Kanoni, S; Graham, SE; Wang, Y; Surakka, I; Ramdas, S; Zhu, X; Clarke, SL; Bhatti, KF; Vedantam, S; Winkler, TW (2022) -
Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci.
Erzurumluoglu, AM; Liu, M; Jackson, VE; Barnes, DR; Datta, G; Melbourne, CA; Young, R; Batini, C; Surendran, P; Jiang, T (Springer Nature, 2019-01-07)Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking ... -
Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction
Ntalla, I; Weng, L-C; Cartwright, JH; Hall, AW; Sveinbjornsson, G; Tucker, NR; Choi, SH; Chaffin, MD; Roselli, C; Barnes, MR (2020-05-21) -
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
Ramdas, S; Judd, J; Graham, SE; Kanoni, S; Wang, Y; Surakka, I; Wenz, B; Clarke, SL; Chesi, A; Wells, A (2022) -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2018-01) -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2017)
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2019-07) -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2018)
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2018-05) -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2018-05) -
Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.
Justice, AE; Karaderi, T; Highland, HM; Young, KL; Graff, M; Lu, Y; Turcot, V; Auer, PL; Fine, RS; Guo, X (Nature Research (part of Springer Nature), 2019-02-18)Body-fat distribution is a risk factor for adverse cardiovascular health consequences. We analyzed the association of body-fat distribution, assessed by waist-to-hip ratio adjusted for body mass index, with 228,985 predicted ... -
A saturated map of common genetic variants associated with human height
Yengo, L; Vedantam, S; Marouli, E; Sidorenko, J; Bartell, E; Sakaue, S; Graff, M; Eliasen, AU; Jiang, Y; Raghavan, S (2022)