Genome-wide analyses using UK biobank data povide new therapeutic targets for osteoarthritis

Konstantinos Hatzikotoulas; Ioanna Tachmazidou; Lorraine Southam; Jorge Esparza-Gordillo; Valeriia Haberland; Jie Zheng; Toby Johnson; Mine Koprulu; Eleni Zengini; Julia Steinberg; Jeremy Wilkinson; Sahir Bhatnagar; Joshua D Hoffman; Natalie Buchan; Daniel Suveges; Laura M Yerges-Armstrong; George Davey Smith; Tom Gaunt; Robert Scott; Linda C McCarthy; Eleftheria Zeggini

doi:10.1016/j.joca.2019.02.083

Genome-wide analyses using UK biobank data povide new therapeutic targets for osteoarthritis

Konstantinos Hatzikotoulas, Ioanna Tachmazidou, Lorraine Southam, Jorge Esparza-Gordillo, Valeriia Haberland, Jie Zheng, Toby Johnson, Mine Koprulu, Eleni Zengini, Julia Steinberg, Jeremy Wilkinson, Sahir Bhatnagar, Joshua D Hoffman, Natalie Buchan, Daniel Suveges, Laura M Yerges-Armstrong, George Davey Smith, Tom Gaunt, Robert Scott, Linda C McCarthyEleftheria Zeggini

Research output: Contribution to conference › Conference Abstract › peer-review

Abstract

Purpose: Osteoarthritis (OA) is the most prevalent musculoskeletal disease and a leading cause of disability worldwide with huge public health burden. The pathogenesis of OA is complex with multiple environmental and genetic factors implicated in the disease aetiology and progression. The heritability of OA is∼ 50% and previous genetic studies have identified 34 loci in total. Here, we conduct the largest genome-wide association study for OA to date to better understand the genetic architecture of the disease and support the development of disease-modifying therapies.

Original language	English
DOIs	https://doi.org/10.1016/j.joca.2019.02.083
Publication status	Published - Apr 2019

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Hatzikotoulas, K., Tachmazidou, I., Southam, L., Esparza-Gordillo, J., Haberland, V., Zheng, J., Johnson, T., Koprulu, M., Zengini, E., Steinberg, J., Wilkinson, J., Bhatnagar, S., Hoffman, J. D., Buchan, N., Suveges, D., Yerges-Armstrong, L. M., Davey Smith, G., Gaunt, T., Scott, R., ... Zeggini, E. (2019). Genome-wide analyses using UK biobank data povide new therapeutic targets for osteoarthritis. https://doi.org/10.1016/j.joca.2019.02.083

@conference{5eda8d208bd54046a7fe02d78f05f7c8,

title = "Genome-wide analyses using UK biobank data povide new therapeutic targets for osteoarthritis",

abstract = "Purpose: Osteoarthritis (OA) is the most prevalent musculoskeletal disease and a leading cause of disability worldwide with huge public health burden. The pathogenesis of OA is complex with multiple environmental and genetic factors implicated in the disease aetiology and progression. The heritability of OA is∼ 50% and previous genetic studies have identified 34 loci in total. Here, we conduct the largest genome-wide association study for OA to date to better understand the genetic architecture of the disease and support the development of disease-modifying therapies.",

author = "Konstantinos Hatzikotoulas and Ioanna Tachmazidou and Lorraine Southam and Jorge Esparza-Gordillo and Valeriia Haberland and Jie Zheng and Toby Johnson and Mine Koprulu and Eleni Zengini and Julia Steinberg and Jeremy Wilkinson and Sahir Bhatnagar and Hoffman, {Joshua D} and Natalie Buchan and Daniel Suveges and Yerges-Armstrong, {Laura M} and {Davey Smith}, George and Tom Gaunt and Robert Scott and McCarthy, {Linda C} and Eleftheria Zeggini",

year = "2019",

month = apr,

doi = "10.1016/j.joca.2019.02.083",

language = "English",

}

Hatzikotoulas, K, Tachmazidou, I, Southam, L, Esparza-Gordillo, J, Haberland, V, Zheng, J, Johnson, T, Koprulu, M, Zengini, E, Steinberg, J, Wilkinson, J, Bhatnagar, S, Hoffman, JD, Buchan, N, Suveges, D, Yerges-Armstrong, LM, Davey Smith, G , Gaunt, T, Scott, R, McCarthy, LC & Zeggini, E 2019, 'Genome-wide analyses using UK biobank data povide new therapeutic targets for osteoarthritis'. https://doi.org/10.1016/j.joca.2019.02.083

TY - CONF

T1 - Genome-wide analyses using UK biobank data povide new therapeutic targets for osteoarthritis

AU - Hatzikotoulas, Konstantinos

AU - Tachmazidou, Ioanna

AU - Southam, Lorraine

AU - Esparza-Gordillo, Jorge

AU - Haberland, Valeriia

AU - Zheng, Jie

AU - Johnson, Toby

AU - Koprulu, Mine

AU - Zengini, Eleni

AU - Steinberg, Julia

AU - Wilkinson, Jeremy

AU - Bhatnagar, Sahir

AU - Hoffman, Joshua D

AU - Buchan, Natalie

AU - Suveges, Daniel

AU - Yerges-Armstrong, Laura M

AU - Davey Smith, George

AU - Gaunt, Tom

AU - Scott, Robert

AU - McCarthy, Linda C

AU - Zeggini, Eleftheria

PY - 2019/4

Y1 - 2019/4

N2 - Purpose: Osteoarthritis (OA) is the most prevalent musculoskeletal disease and a leading cause of disability worldwide with huge public health burden. The pathogenesis of OA is complex with multiple environmental and genetic factors implicated in the disease aetiology and progression. The heritability of OA is∼ 50% and previous genetic studies have identified 34 loci in total. Here, we conduct the largest genome-wide association study for OA to date to better understand the genetic architecture of the disease and support the development of disease-modifying therapies.

AB - Purpose: Osteoarthritis (OA) is the most prevalent musculoskeletal disease and a leading cause of disability worldwide with huge public health burden. The pathogenesis of OA is complex with multiple environmental and genetic factors implicated in the disease aetiology and progression. The heritability of OA is∼ 50% and previous genetic studies have identified 34 loci in total. Here, we conduct the largest genome-wide association study for OA to date to better understand the genetic architecture of the disease and support the development of disease-modifying therapies.

U2 - 10.1016/j.joca.2019.02.083

DO - 10.1016/j.joca.2019.02.083

M3 - Conference Abstract

ER -

Genome-wide analyses using UK biobank data povide new therapeutic targets for osteoarthritis

Abstract

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