Variation in the SERPINA6/SERPINA1 locus alters morning plasma cortisol, hepatic corticosteroid binding globulin expression, gene expression in peripheral tissues, and risk of cardiovascular disease

The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of th...

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Published inJournal of human genetics Vol. 66; no. 6; pp. 625 - 636
Main Authors Crawford, Andrew A., Bankier, Sean, Altmaier, Elisabeth, Barnes, Catriona L. K., Clark, David W., Ermel, Raili, Friedrich, Nele, van der Harst, Pim, Joshi, Peter K., Karhunen, Ville, Lahti, Jari, Mahajan, Anubha, Mangino, Massimo, Nethander, Maria, Neumann, Alexander, Pietzner, Maik, Sukhavasi, Katyayani, Wang, Carol A., Bakker, Stephan J. L., Bjorkegren, Johan L. M., Campbell, Harry, Eriksson, Johan, Gieger, Christian, Hayward, Caroline, Jarvelin, Marjo-Riitta, McLachlan, Stela, Morris, Andrew P., Ohlsson, Claes, Pennell, Craig E., Price, Jackie, Rudan, Igor, Ruusalepp, Arno, Spector, Tim, Tiemeier, Henning, Völzke, Henry, Wilson, James F., Michoel, Tom, Timpson, Nicolas J., Smith, George Davey, Walker, Brian R., Mellström, Dan
Format Journal Article
LanguageEnglish
Published England Nature Publishing Group 01.06.2021
Springer Singapore
Subjects
Online AccessGet full text
ISSN1434-5161
1435-232X
1435-232X
DOI10.1038/s10038-020-00895-6

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Abstract The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of the variance in cortisol could provide new insights into cortisol biology and provide statistical power to test the causative role of cortisol in common diseases. The CORNET consortium extended its genome-wide association meta-analysis for morning plasma cortisol from 12,597 to 25,314 subjects and from ~2.2 M to ~7 M SNPs, in 17 population-based cohorts of European ancestries. We confirmed the genetic association with SERPINA6/SERPINA1 . This locus contains genes encoding corticosteroid binding globulin (CBG) and α1-antitrypsin. Expression quantitative trait loci (eQTL) analyses undertaken in the STARNET cohort of 600 individuals showed that specific genetic variants within the SERPINA6/SERPINA1 locus influence expression of SERPINA6 rather than SERPINA1 in the liver. Moreover, trans-eQTL analysis demonstrated effects on adipose tissue gene expression, suggesting that variations in CBG levels have an effect on delivery of cortisol to peripheral tissues. Two-sample Mendelian randomisation analyses provided evidence that each genetically-determined standard deviation (SD) increase in morning plasma cortisol was associated with increased odds of chronic ischaemic heart disease (0.32, 95% CI 0.06–0.59) and myocardial infarction (0.21, 95% CI 0.00–0.43) in UK Biobank and similarly in CARDIoGRAMplusC4D. These findings reveal a causative pathway for CBG in determining cortisol action in peripheral tissues and thereby contributing to the aetiology of cardiovascular disease.
AbstractList The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of the variance in cortisol could provide new insights into cortisol biology and provide statistical power to test the causative role of cortisol in common diseases. The CORNET consortium extended its genome-wide association meta-analysis for morning plasma cortisol from 12,597 to 25,314 subjects and from similar to 2.2 M to similar to 7 M SNPs, in 17 population-based cohorts of European ancestries. We confirmed the genetic association with SERPINA6/SERPINA1. This locus contains genes encoding corticosteroid binding globulin (CBG) and alpha 1-antitrypsin. Expression quantitative trait loci (eQTL) analyses undertaken in the STARNET cohort of 600 individuals showed that specific genetic variants within the SERPINA6/SERPINA1 locus influence expression of SERPINA6 rather than SERPINA1 in the liver. Moreover, trans-eQTL analysis demonstrated effects on adipose tissue gene expression, suggesting that variations in CBG levels have an effect on delivery of cortisol to peripheral tissues. Two-sample Mendelian randomisation analyses provided evidence that each genetically-determined standard deviation (SD) increase in morning plasma cortisol was associated with increased odds of chronic ischaemic heart disease (0.32, 95% CI 0.06-0.59) and myocardial infarction (0.21, 95% CI 0.00-0.43) in UK Biobank and similarly in CARDIoGRAMplusC4D. These findings reveal a causative pathway for CBG in determining cortisol action in peripheral tissues and thereby contributing to the aetiology of cardiovascular disease.
The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of the variance in cortisol could provide new insights into cortisol biology and provide statistical power to test the causative role of cortisol in common diseases. The CORNET consortium extended its genome-wide association meta-analysis for morning plasma cortisol from 12,597 to 25,314 subjects and from ~2.2 M to ~7 M SNPs, in 17 population-based cohorts of European ancestries. We confirmed the genetic association with SERPINA6/SERPINA1. This locus contains genes encoding corticosteroid binding globulin (CBG) and α1-antitrypsin. Expression quantitative trait loci (eQTL) analyses undertaken in the STARNET cohort of 600 individuals showed that specific genetic variants within the SERPINA6/SERPINA1 locus influence expression of SERPINA6 rather than SERPINA1 in the liver. Moreover, trans-eQTL analysis demonstrated effects on adipose tissue gene expression, suggesting that variations in CBG levels have an effect on delivery of cortisol to peripheral tissues. Two-sample Mendelian randomisation analyses provided evidence that each genetically-determined standard deviation (SD) increase in morning plasma cortisol was associated with increased odds of chronic ischaemic heart disease (0.32, 95% CI 0.06-0.59) and myocardial infarction (0.21, 95% CI 0.00-0.43) in UK Biobank and similarly in CARDIoGRAMplusC4D. These findings reveal a causative pathway for CBG in determining cortisol action in peripheral tissues and thereby contributing to the aetiology of cardiovascular disease.The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of the variance in cortisol could provide new insights into cortisol biology and provide statistical power to test the causative role of cortisol in common diseases. The CORNET consortium extended its genome-wide association meta-analysis for morning plasma cortisol from 12,597 to 25,314 subjects and from ~2.2 M to ~7 M SNPs, in 17 population-based cohorts of European ancestries. We confirmed the genetic association with SERPINA6/SERPINA1. This locus contains genes encoding corticosteroid binding globulin (CBG) and α1-antitrypsin. Expression quantitative trait loci (eQTL) analyses undertaken in the STARNET cohort of 600 individuals showed that specific genetic variants within the SERPINA6/SERPINA1 locus influence expression of SERPINA6 rather than SERPINA1 in the liver. Moreover, trans-eQTL analysis demonstrated effects on adipose tissue gene expression, suggesting that variations in CBG levels have an effect on delivery of cortisol to peripheral tissues. Two-sample Mendelian randomisation analyses provided evidence that each genetically-determined standard deviation (SD) increase in morning plasma cortisol was associated with increased odds of chronic ischaemic heart disease (0.32, 95% CI 0.06-0.59) and myocardial infarction (0.21, 95% CI 0.00-0.43) in UK Biobank and similarly in CARDIoGRAMplusC4D. These findings reveal a causative pathway for CBG in determining cortisol action in peripheral tissues and thereby contributing to the aetiology of cardiovascular disease.
The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of the variance in cortisol could provide new insights into cortisol biology and provide statistical power to test the causative role of cortisol in common diseases. The CORNET consortium extended its genome-wide association meta-analysis for morning plasma cortisol from 12,597 to 25,314 subjects and from ~2.2 M to ~7 M SNPs, in 17 population-based cohorts of European ancestries. We confirmed the genetic association with SERPINA6/SERPINA1. This locus contains genes encoding corticosteroid binding globulin (CBG) and α1-antitrypsin. Expression quantitative trait loci (eQTL) analyses undertaken in the STARNET cohort of 600 individuals showed that specific genetic variants within the SERPINA6/SERPINA1 locus influence expression of SERPINA6 rather than SERPINA1 in the liver. Moreover, trans-eQTL analysis demonstrated effects on adipose tissue gene expression, suggesting that variations in CBG levels have an effect on delivery of cortisol to peripheral tissues. Two-sample Mendelian randomisation analyses provided evidence that each genetically-determined standard deviation (SD) increase in morning plasma cortisol was associated with increased odds of chronic ischaemic heart disease (0.32, 95% CI 0.06–0.59) and myocardial infarction (0.21, 95% CI 0.00–0.43) in UK Biobank and similarly in CARDIoGRAMplusC4D. These findings reveal a causative pathway for CBG in determining cortisol action in peripheral tissues and thereby contributing to the aetiology of cardiovascular disease.
The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium previously identified a single locus associated with morning plasma cortisol. Identifying additional genetic variants that explain more of the variance in cortisol could provide new insights into cortisol biology and provide statistical power to test the causative role of cortisol in common diseases. The CORNET consortium extended its genome-wide association meta-analysis for morning plasma cortisol from 12,597 to 25,314 subjects and from ~2.2 M to ~7 M SNPs, in 17 population-based cohorts of European ancestries. We confirmed the genetic association with SERPINA6/SERPINA1 . This locus contains genes encoding corticosteroid binding globulin (CBG) and α1-antitrypsin. Expression quantitative trait loci (eQTL) analyses undertaken in the STARNET cohort of 600 individuals showed that specific genetic variants within the SERPINA6/SERPINA1 locus influence expression of SERPINA6 rather than SERPINA1 in the liver. Moreover, trans-eQTL analysis demonstrated effects on adipose tissue gene expression, suggesting that variations in CBG levels have an effect on delivery of cortisol to peripheral tissues. Two-sample Mendelian randomisation analyses provided evidence that each genetically-determined standard deviation (SD) increase in morning plasma cortisol was associated with increased odds of chronic ischaemic heart disease (0.32, 95% CI 0.06–0.59) and myocardial infarction (0.21, 95% CI 0.00–0.43) in UK Biobank and similarly in CARDIoGRAMplusC4D. These findings reveal a causative pathway for CBG in determining cortisol action in peripheral tissues and thereby contributing to the aetiology of cardiovascular disease.
Author van der Harst, Pim
Timpson, Nicolas J.
Völzke, Henry
Campbell, Harry
Bakker, Stephan J. L.
Morris, Andrew P.
Clark, David W.
Pennell, Craig E.
McLachlan, Stela
Walker, Brian R.
Ruusalepp, Arno
Karhunen, Ville
Joshi, Peter K.
Lahti, Jari
Gieger, Christian
Mellström, Dan
Wang, Carol A.
Spector, Tim
Rudan, Igor
Crawford, Andrew A.
Ermel, Raili
Sukhavasi, Katyayani
Michoel, Tom
Smith, George Davey
Eriksson, Johan
Barnes, Catriona L. K.
Friedrich, Nele
Price, Jackie
Bankier, Sean
Tiemeier, Henning
Altmaier, Elisabeth
Ohlsson, Claes
Nethander, Maria
Pietzner, Maik
Bjorkegren, Johan L. M.
Jarvelin, Marjo-Riitta
Mahajan, Anubha
Neumann, Alexander
Wilson, James F.
Mangino, Massimo
Hayward, Caroline
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Cites_doi 10.1038/ng.3406
10.1097/00004872-199602000-00012
10.1038/ng.3211
10.1126/science.aad6970
10.1530/EJE-19-0161
10.1093/bioinformatics/btq340
10.1210/jc.2018-02524
10.1038/ng.3404
10.1186/1471-2105-15-11
10.1080/01621459.1961.10480651
10.1371/journal.pcbi.1004219
10.1016/S0165-0327(00)00352-9
10.1161/01.HYP.33.6.1364
10.1016/0026-0495(88)90164-3
10.1196/annals.1364.027
10.1111/j.1530-0277.2000.tb04607.x
10.1371/journal.pgen.1004474
10.1093/bioinformatics/btq419
10.1093/bioinformatics/bts163
10.1530/EJE-15-0313
10.1038/nprot.2014.071
10.1038/s41467-017-01261-5
10.1007/s10654-015-0011-z
10.1210/jc.2019-00757
10.1093/bioinformatics/btv402
10.1038/271
10.1371/journal.pbio.0060107
10.1530/EJE-07-0455
10.1210/jcem-71-1-34
10.7554/eLife.34408
10.1016/j.psyneuen.2017.08.011
10.1093/bioinformatics/btw613
10.1093/bioinformatics/btu621
10.1530/JOE-18-0479
10.1073/pnas.1530509100
10.1371/journal.pgen.1004383
10.1055/s-0042-108071
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Copyright The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
The Author(s) 2021
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References J Filipovsky (895_CR4) 1996; 14
LA Hill (895_CR40) 2019; 240
GL Hammond (895_CR12) 1990; 71
B Bulik-Sullivan (895_CR21) 2015; 47
JR Seckl (895_CR9) 2006; 1071
S Burgess (895_CR33) 2015; 30
RM Reynolds (895_CR6) 2001; 86
J Zheng (895_CR22) 2017; 33
EJ Meyer (895_CR39) 2016; 48
A Neumann (895_CR15) 2017; 85
SJ Lupien (895_CR7) 1998; 1
Robert Fraser (895_CR5) 1999; 33
JL Bolton (895_CR11) 2014; 10
J Pott (895_CR14) 2019; 104
F Holsboer (895_CR8) 2001; 62
O Ragnarsson (895_CR2) 2019; 104
CJ Willer (895_CR17) 2010; 26
JD Storey (895_CR28) 2003; 100
AA Crawford (895_CR13) 2019; 181
TW Winkler (895_CR18) 2015; 31
VL Wester (895_CR41) 2015; 173
K Watanabe (895_CR24) 2017; 8
AA Shabalin (895_CR31) 2012; 28
CA Leeuw (895_CR23) 2015; 11
BR Walker (895_CR1) 2007; 157
JC Froehlich (895_CR38) 2000; 24
DIW Phillips (895_CR3) 1998; 83
MJ Machiela (895_CR32) 2015; 31
G Hemani (895_CR34) 2018; 7
BK Bulik-Sullivan (895_CR19) 2015; 47
TW Winkler (895_CR16) 2014; 9
RJ Pruim (895_CR29) 2010; 26
C Giambartolomei (895_CR30) 2014; 10
O Franzén (895_CR25) 2016; 353
EE Schadt (895_CR26) 2008; 6
M Halperin (895_CR35) 1961; 56
J Qi (895_CR27) 2014; 15
AW Meikle (895_CR37) 1988; 37
GC Inglis (895_CR36) 1999; 84
TM Ball (895_CR10) 2006; 13
HK Finucane (895_CR20) 2015; 47
References_xml – volume: 13
  start-page: 294
  year: 2006
  ident: 895_CR10
  publication-title: NIM
– volume: 47
  start-page: 1236
  year: 2015
  ident: 895_CR21
  publication-title: Nat Genet
  doi: 10.1038/ng.3406
– volume: 14
  start-page: 229
  year: 1996
  ident: 895_CR4
  publication-title: J Hypertens
  doi: 10.1097/00004872-199602000-00012
– volume: 47
  start-page: 291
  year: 2015
  ident: 895_CR19
  publication-title: Nat Genet
  doi: 10.1038/ng.3211
– volume: 353
  start-page: 827
  year: 2016
  ident: 895_CR25
  publication-title: Science
  doi: 10.1126/science.aad6970
– volume: 181
  start-page: 429
  year: 2019
  ident: 895_CR13
  publication-title: Eur J Endocrinol
  doi: 10.1530/EJE-19-0161
– volume: 26
  start-page: 2190
  year: 2010
  ident: 895_CR17
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btq340
– volume: 104
  start-page: 2375
  year: 2019
  ident: 895_CR2
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jc.2018-02524
– volume: 47
  start-page: 1228
  year: 2015
  ident: 895_CR20
  publication-title: Nat Genet
  doi: 10.1038/ng.3404
– volume: 15
  year: 2014
  ident: 895_CR27
  publication-title: BMC Bioinform
  doi: 10.1186/1471-2105-15-11
– volume: 56
  start-page: 657
  year: 1961
  ident: 895_CR35
  publication-title: J Am Stat Assoc
  doi: 10.1080/01621459.1961.10480651
– volume: 11
  start-page: e1004219
  year: 2015
  ident: 895_CR23
  publication-title: PLOS Comput Biol
  doi: 10.1371/journal.pcbi.1004219
– volume: 62
  start-page: 77
  year: 2001
  ident: 895_CR8
  publication-title: J Affect Disord
  doi: 10.1016/S0165-0327(00)00352-9
– volume: 33
  start-page: 1364
  year: 1999
  ident: 895_CR5
  publication-title: Hypertension
  doi: 10.1161/01.HYP.33.6.1364
– volume: 84
  start-page: 4132
  year: 1999
  ident: 895_CR36
  publication-title: J Clin Endocrinol Metab
– volume: 37
  start-page: 514
  year: 1988
  ident: 895_CR37
  publication-title: Metab Clin Exp
  doi: 10.1016/0026-0495(88)90164-3
– volume: 1071
  start-page: 351
  year: 2006
  ident: 895_CR9
  publication-title: Ann NY Acad Sci
  doi: 10.1196/annals.1364.027
– volume: 83
  start-page: 757
  year: 1998
  ident: 895_CR3
  publication-title: J Clin Endocrinol Metab
– volume: 24
  start-page: 265
  year: 2000
  ident: 895_CR38
  publication-title: Alcohol Clin Exp Res
  doi: 10.1111/j.1530-0277.2000.tb04607.x
– volume: 10
  start-page: e1004474
  year: 2014
  ident: 895_CR11
  publication-title: PLOS Genet
  doi: 10.1371/journal.pgen.1004474
– volume: 26
  start-page: 2336
  year: 2010
  ident: 895_CR29
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btq419
– volume: 28
  start-page: 1353
  year: 2012
  ident: 895_CR31
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bts163
– volume: 173
  start-page: M1
  year: 2015
  ident: 895_CR41
  publication-title: Eur J Endocrinol
  doi: 10.1530/EJE-15-0313
– volume: 9
  start-page: 1192
  year: 2014
  ident: 895_CR16
  publication-title: Nat Protoc
  doi: 10.1038/nprot.2014.071
– volume: 8
  start-page: 1
  year: 2017
  ident: 895_CR24
  publication-title: Nat Commun
  doi: 10.1038/s41467-017-01261-5
– volume: 30
  start-page: 543
  year: 2015
  ident: 895_CR33
  publication-title: Eur J Epidemiol
  doi: 10.1007/s10654-015-0011-z
– volume: 104
  start-page: 5008
  year: 2019
  ident: 895_CR14
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jc.2019-00757
– volume: 31
  start-page: 3555
  year: 2015
  ident: 895_CR32
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btv402
– volume: 1
  start-page: 69
  year: 1998
  ident: 895_CR7
  publication-title: Nat Neurosci
  doi: 10.1038/271
– volume: 6
  start-page: e107
  year: 2008
  ident: 895_CR26
  publication-title: PLOS Biol
  doi: 10.1371/journal.pbio.0060107
– volume: 86
  start-page: 245
  year: 2001
  ident: 895_CR6
  publication-title: J Clin Endocrinol Metab
– volume: 157
  start-page: 545
  year: 2007
  ident: 895_CR1
  publication-title: Eur J Endocrinol
  doi: 10.1530/EJE-07-0455
– volume: 71
  start-page: 34
  year: 1990
  ident: 895_CR12
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jcem-71-1-34
– volume: 7
  start-page: e34408
  year: 2018
  ident: 895_CR34
  publication-title: ELife
  doi: 10.7554/eLife.34408
– volume: 85
  start-page: 88
  year: 2017
  ident: 895_CR15
  publication-title: Psychoneuroendocrinology
  doi: 10.1016/j.psyneuen.2017.08.011
– volume: 33
  start-page: 272
  year: 2017
  ident: 895_CR22
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btw613
– volume: 31
  start-page: 259
  year: 2015
  ident: 895_CR18
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu621
– volume: 240
  start-page: 27
  year: 2019
  ident: 895_CR40
  publication-title: J Endocrinol
  doi: 10.1530/JOE-18-0479
– volume: 100
  start-page: 9440
  year: 2003
  ident: 895_CR28
  publication-title: PNAS
  doi: 10.1073/pnas.1530509100
– volume: 10
  start-page: e1004383
  year: 2014
  ident: 895_CR30
  publication-title: PLOS Genet
  doi: 10.1371/journal.pgen.1004383
– volume: 48
  start-page: 359
  year: 2016
  ident: 895_CR39
  publication-title: Horm Metab Res
  doi: 10.1055/s-0042-108071
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Snippet The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation and cognition. The CORtisol NETwork (CORNET) consortium...
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SubjectTerms a1-antitrypsin
Adipose tissue
Adrenal Cortex Hormones - blood
Adult
alpha 1-Antitrypsin - genetics
Biological Specimen Banks
blood-pressure
Cardiovascular disease
Cardiovascular diseases
Cardiovascular Diseases - blood
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - genetics
Cardiovascular Diseases - pathology
Clinical Medicine
Cognition
Consortia
Coronary artery disease
Corticosteroids
Cortisol
Female
Gene expression
Gene Expression Regulation
Genetic diversity
Genetic Predisposition to Disease
Genetics & Heredity
Genome-Wide Association Study
Genomes
Globulins
Heart diseases
heritability
Hormones
Humans
Inflammation
insulin
Klinisk medicin
ld score regression
Liver - metabolism
Liver - pathology
low-birth-weight
Male
Mendelian Randomization Analysis
metaanalysis
Middle Aged
Mood
Myocardial infarction
Myocardial Infarction - blood
Myocardial Infarction - genetics
Myocardial Infarction - pathology
Plasma
Polymorphism, Single Nucleotide - genetics
Quantitative trait loci
Quantitative Trait Loci - genetics
responses
Single-nucleotide polymorphism
stress
Transcortin - genetics
United Kingdom
visualization
Title Variation in the SERPINA6/SERPINA1 locus alters morning plasma cortisol, hepatic corticosteroid binding globulin expression, gene expression in peripheral tissues, and risk of cardiovascular disease
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