Genome-wide association study of peripheral artery disease

<p><strong>Background:</strong><br> Peripheral artery disease (PAD) affects >200 million people worldwide and is associated with high mortality and morbidity. We sought to identify genomic variants associated with PAD overall and in the contexts of diabetes and smoking sta...

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Main Authors: van Zuydam, NR, Stiby, A, Abdalla, M, Austin, E, Dahlström, EH, McLachlan, S, Vlachopoulou, E, Ahlqvist, E, Di Liao, C, Sandholm, N, Forsblom, C, Mahajan, A, Robertson, NR, Rayner, NW, Lindholm, E, Sinisalo, J, Perola, M, Kallio, M, Weiss, E, Price, J, Paterson, A, Klein, B, Salomaa, V, Palmer, CNA, Groop, P-H, Groop, L, McCarthy, MI, de Andrade, M, Morris, AP, Hopewell, JC, Colhoun, HM, Kullo, IJ
Other Authors: GoLEAD Consortium
Format: Journal article
Language:English
Published: American Heart Association 2021
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author van Zuydam, NR
Stiby, A
Abdalla, M
Austin, E
Dahlström, EH
Dahlström, EH
McLachlan, S
Vlachopoulou, E
Ahlqvist, E
Di Liao, C
Sandholm, N
Forsblom, C
Mahajan, A
Robertson, NR
Rayner, NW
Lindholm, E
Sinisalo, J
Perola, M
Kallio, M
Weiss, E
Price, J
Paterson, A
Klein, B
Salomaa, V
Palmer, CNA
Groop, P-H
Groop, L
McCarthy, MI
de Andrade, M
Morris, AP
Hopewell, JC
Colhoun, HM
Kullo, IJ
author2 GoLEAD Consortium
author_facet GoLEAD Consortium
van Zuydam, NR
Stiby, A
Abdalla, M
Austin, E
Dahlström, EH
Dahlström, EH
McLachlan, S
Vlachopoulou, E
Ahlqvist, E
Di Liao, C
Sandholm, N
Forsblom, C
Mahajan, A
Robertson, NR
Rayner, NW
Lindholm, E
Sinisalo, J
Perola, M
Kallio, M
Weiss, E
Price, J
Paterson, A
Klein, B
Salomaa, V
Palmer, CNA
Groop, P-H
Groop, L
McCarthy, MI
de Andrade, M
Morris, AP
Hopewell, JC
Colhoun, HM
Kullo, IJ
author_sort van Zuydam, NR
collection OXFORD
description <p><strong>Background:</strong><br> Peripheral artery disease (PAD) affects >200 million people worldwide and is associated with high mortality and morbidity. We sought to identify genomic variants associated with PAD overall and in the contexts of diabetes and smoking status.<br><br> <strong>Methods:</strong><br> We identified genetic variants associated with PAD and then meta-analyzed with published summary statistics from the Million Veterans Program and UK Biobank to replicate their findings. Next, we ran stratified genome-wide association analysis in ever smokers, never smokers, individuals with diabetes, and individuals with no history of diabetes and corresponding interaction analyses, to identify variants that modify the risk of PAD by diabetic or smoking status.<br><br> <strong>Results:</strong><br> We identified 5 genome-wide significant (P<sub>association</sub> ≤5×10<sup>−8</sup>) associations with PAD in 449 548 (N<sub>cases</sub>=12 086) individuals of European ancestry near <em>LPA (lipoprotein [a]), CDKN2BAS1 (CDKN2B antisense RNA 1), SH2B3 (SH2B adaptor protein 3) - PTPN11 (protein tyrosine phosphatase non-receptor type 11), HDAC9 (histone deacetylase 9), and CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit)</em> loci (which overlapped previously reported associations). Meta-analysis with variants previously associated with PAD showed that 18 of 19 published variants remained genome-wide significant. In individuals with diabetes, rs116405693 at the <em>CCSER1 (coiled-coil serine rich protein 1)</em> locus was associated with PAD (odds ratio [95% CI], 1.51 [1.32–1.74], P<sub>diabetes</sub>=2.5×10<sup>−9</sup>, P<sub>interactionwithdiabetes</sub>=5.3×10<sup>−7</sup>). Furthermore, in smokers, rs12910984 at the CHRNA3 locus was associated with PAD (odds ratio [95% CI], 1.15 [1.11–1.19], P<sub>smokers</sub>=9.3×10<sup>−10</sup>, P<sub>interactionwithsmoking</sub>=3.9×10<sup>−5</sup>).<br><br> <strong>Conclusions:</strong><br> Our analyses confirm the published genetic associations with PAD and identify novel variants that may influence susceptibility to PAD in the context of diabetes or smoking status.</p>
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spelling oxford-uuid:f9b27edf-dac6-4f64-a8ae-16791de6d33c2023-06-09T12:58:24ZGenome-wide association study of peripheral artery diseaseJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f9b27edf-dac6-4f64-a8ae-16791de6d33cEnglishSymplectic Elements American Heart Association2021van Zuydam, NRStiby, AAbdalla, MAustin, EDahlström, EHDahlström, EHMcLachlan, SVlachopoulou, EAhlqvist, EDi Liao, CSandholm, NForsblom, CMahajan, ARobertson, NRRayner, NWLindholm, ESinisalo, JPerola, MKallio, MWeiss, EPrice, JPaterson, AKlein, BSalomaa, VPalmer, CNAGroop, P-HGroop, LMcCarthy, MIde Andrade, MMorris, APHopewell, JCColhoun, HMKullo, IJGoLEAD ConsortiumSUMMIT Consortium<p><strong>Background:</strong><br> Peripheral artery disease (PAD) affects >200 million people worldwide and is associated with high mortality and morbidity. We sought to identify genomic variants associated with PAD overall and in the contexts of diabetes and smoking status.<br><br> <strong>Methods:</strong><br> We identified genetic variants associated with PAD and then meta-analyzed with published summary statistics from the Million Veterans Program and UK Biobank to replicate their findings. Next, we ran stratified genome-wide association analysis in ever smokers, never smokers, individuals with diabetes, and individuals with no history of diabetes and corresponding interaction analyses, to identify variants that modify the risk of PAD by diabetic or smoking status.<br><br> <strong>Results:</strong><br> We identified 5 genome-wide significant (P<sub>association</sub> ≤5×10<sup>−8</sup>) associations with PAD in 449 548 (N<sub>cases</sub>=12 086) individuals of European ancestry near <em>LPA (lipoprotein [a]), CDKN2BAS1 (CDKN2B antisense RNA 1), SH2B3 (SH2B adaptor protein 3) - PTPN11 (protein tyrosine phosphatase non-receptor type 11), HDAC9 (histone deacetylase 9), and CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit)</em> loci (which overlapped previously reported associations). Meta-analysis with variants previously associated with PAD showed that 18 of 19 published variants remained genome-wide significant. In individuals with diabetes, rs116405693 at the <em>CCSER1 (coiled-coil serine rich protein 1)</em> locus was associated with PAD (odds ratio [95% CI], 1.51 [1.32–1.74], P<sub>diabetes</sub>=2.5×10<sup>−9</sup>, P<sub>interactionwithdiabetes</sub>=5.3×10<sup>−7</sup>). Furthermore, in smokers, rs12910984 at the CHRNA3 locus was associated with PAD (odds ratio [95% CI], 1.15 [1.11–1.19], P<sub>smokers</sub>=9.3×10<sup>−10</sup>, P<sub>interactionwithsmoking</sub>=3.9×10<sup>−5</sup>).<br><br> <strong>Conclusions:</strong><br> Our analyses confirm the published genetic associations with PAD and identify novel variants that may influence susceptibility to PAD in the context of diabetes or smoking status.</p>
spellingShingle van Zuydam, NR
Stiby, A
Abdalla, M
Austin, E
Dahlström, EH
Dahlström, EH
McLachlan, S
Vlachopoulou, E
Ahlqvist, E
Di Liao, C
Sandholm, N
Forsblom, C
Mahajan, A
Robertson, NR
Rayner, NW
Lindholm, E
Sinisalo, J
Perola, M
Kallio, M
Weiss, E
Price, J
Paterson, A
Klein, B
Salomaa, V
Palmer, CNA
Groop, P-H
Groop, L
McCarthy, MI
de Andrade, M
Morris, AP
Hopewell, JC
Colhoun, HM
Kullo, IJ
Genome-wide association study of peripheral artery disease
title Genome-wide association study of peripheral artery disease
title_full Genome-wide association study of peripheral artery disease
title_fullStr Genome-wide association study of peripheral artery disease
title_full_unstemmed Genome-wide association study of peripheral artery disease
title_short Genome-wide association study of peripheral artery disease
title_sort genome wide association study of peripheral artery disease
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