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STK39 polymorphisms and blood pressure: an association study in British Caucasians and assessment of cis-acting influences on gene expression
- Michael S Cunnington†1Email author,
- Chris Kay†1,
- Peter J Avery1,
- Bongani M Mayosi2,
- Mauro Santibanez Koref1 and
- Bernard Keavney1
© Cunnington et al; licensee BioMed Central Ltd. 2009
Received: 17 August 2009
Accepted: 14 December 2009
Published: 14 December 2009
Blood pressure (BP) has significant heritability, but the genes responsible remain largely unknown. Single nucleotide polymorphisms (SNPs) at the STK39 locus were recently associated with hypertension by genome-wide association in an Amish population; in vitro data from transient transfection experiments using reporter constructs suggested that altered STK39 expression might mediate the effect. However, other large studies have not implicated STK39 in hypertension. We determined whether reported SNPs influenced STK39 expression in vivo, or were associated with BP in a large British Caucasian cohort.
1372 members of 247 Caucasian families ascertained through a hypertensive proband were genotyped for reported risk variants in STK39 (rs6749447, rs3754777, rs35929607) using Sequenom technology. MERLIN software was used for family-based association testing. Cis-acting influences on expression were assessed in vivo using allelic expression ratios in cDNA from peripheral blood cells in 35 South African individuals heterozygous for a transcribed SNP in STK39 (rs1061471) and quantified by mass spectrometry (Sequenom).
No significant association was seen between the SNPs tested and systolic or diastolic BP in clinic or ambulatory measurements (all p > 0.05). The tested SNPs were all associated with allelic expression differences in peripheral blood cells (p < 0.05), with the most significant association for the intronic SNP rs6749447 (P = 9.9 × 10-4). In individuals who were heterozygous for this SNP, on average the G allele showed 13% overexpression compared to the T allele.
STK39 expression is modified by polymorphisms acting in cis and the typed SNPs are associated with allelic expression of this gene, but there is no evidence for an association with BP in a British Caucasian cohort.
Hypertension is a major risk factor for vascular and renal disease and thereby contributes to substantial worldwide morbidity and mortality . Although blood pressure (BP) has been shown to have significant heritability (30-60%) , the genes conferring susceptibility to hypertension remain largely unknown. A recent genome-wide association study (GWAS) analysed 79,447 single-nucleotide polymorphisms (SNPs) in the American Old Order Amish, a closed population descended from a small number of common founders who emigrated from Switzerland in the early 1700s who have a relatively homogeneous lifestyle . Their initial genome-wide screen of 542 subjects from the Amish Family Diabetes Study , in which families were ascertained through a proband with type 2 diabetes, identified a cluster of SNPs in the STK39 (serine threonine kinase 39) locus on chromosome 2q24.3 that were associated with BP (P = 8.9 × 10-6 to 9.1 × 10-5) . Although the P-value did not reach the conventionally accepted threshold for genome-wide significance , the inclusion of additional data from an Amish and four non-Amish Caucasian cohorts led to a significant result (P = 1.6 × 10-7) in the combined dataset of 7,125 individuals. The replication cohorts included a further population of 2,842 individuals from a case-control study of diabetes and three smaller groups not selected for diabetes.
The STK39 gene encodes the SPAK (Ste20-related proline-alanine-rich kinase) protein which interacts with ion cotransporters involved in salt transport and osmotic cell volume regulation, including the thiazide-sensitive and loop diuretic-sensitive cotransporters involved in renal salt excretion [6, 7]. The STK39 gene contains 18 exons spanning approximately 300 kb on chromosome 2q24.3; SNPs associated with BP by GWAS were located within introns 1-8, with no coding or splice variants identified by sequencing . Using transfection experiments with luciferase reporter constructs Wang and colleagues demonstrated that alleles of one SNP (rs35929607), located in a conserved region of intron 2, altered expression of the reporter constructs in vitro. This SNP was in linkage disequilibrium (LD) with the SNPs identified by GWAS, suggesting a possible functional mechanism for the observed association.
Despite these results, other large GWAS and meta-analyses involving up to 71,225 Caucasian individuals have failed to identify association between STK39 SNPs and BP that satisfies genome-wide significance thresholds [8–10]. However, such data do not exclude an effect of this locus on BP, since the statistical threshold for replicating an association differs from the threshold for genome-wide 'discovery'. Differences in the actual SNPs genotyped, patterns of LD, and phenotypic variation between populations might contribute to the lack of genome-wide significance in these studies, compared to the GWAS by Wang and colleagues. One recent GWAS looked specifically for evidence of correlation between STK39 SNPs and BP in 1017 African American subjects and provided some supportive evidence for an association . SNPs in the STK39 region did not reach genome-wide significance, but the number of significantly associated SNPs at a nominal p threshold of p < 0.05 was somewhat higher than expected by chance alone (9/136 for systolic BP and 33/136 for diastolic BP, compared to 7/136 expected by chance).
We aimed to test whether the STK39 SNPs identified in the report by Wang and colleagues  were associated with BP in a large family-based Caucasian cohort ascertained through probands with essential hypertension [12, 13]. This cohort has a higher average BP (134 v 128 mmHg systolic) and lower proportion of diabetics (2.5 v 22.2%) compared to the Amish population used for the initial genome-wide study by Wang and colleagues, but has 24-hour ambulatory BP recordings which provide a more reproducible and precise measure of true BP, with better prediction of cardiovascular events, compared to clinic BP measures [14, 15]. Selecting the same SNPs typed by Wang and colleagues and using a cohort enriched for hypertension with ambulatory BP data should increase the power to detect effects associated with these variants in our population.
We also aimed to confirm whether the SNPs have cis-acting effects on STK39 expression in vivo using allelic expression imbalance (AEI). This technique measures the relative amount of transcript arising from each allele in individuals heterozygous for a transcribed polymorphism. Unequal amounts of transcript from each allele indicate the presence of cis-acting effects on gene expression . The allelic expression ratio can be used to quantify the degree of AEI and test whether particular SNPs are associated with cis-acting effects, even in the absence of LD between the transcribed and cis-acting SNPs . The degree to which data from transfection studies in cell lines represents the in vivo situation in complex human tissues is questionable . AEI assesses alleles expressed in their native environment, and because comparison of alleles is made within samples, trans-acting influences and experimental insults are the same for each allele which maximises the sensitivity for detecting cis-acting effects .
Association of SNPs with blood pressure
1372 members of 247 British Caucasian families ascertained through hypertensive probands and phenotyped for a quantitative genetic study of cardiovascular risk factors from 1993-2001 were included. A detailed description of this series and the ascertainment strategy has been published previously . Briefly, families were selected through a proband with essential hypertension whose systolic and diastolic BP were in the top 5% of the population distribution (defined as daytime ambulatory BP >140/90 mmHg; three clinic BP measurements >160/95 mmHg; or treatment with at least two antihypertensive medications). Secondary hypertension was excluded using the screening protocol applied in the hypertension clinic. Families were required to consist of at least three siblings (including the proband) clinically assessable for BP if DNA from a parent of the sibship was available, or at least four siblings if no parental DNA was available. Qualifying sibships could be in the generation of the proband, or the offspring. There was no requirement for additional members of the family to be hypertensive, but where additional members of the sibship were found to have hypertension (using the same criteria), families were extended and the spouses and offspring of hypertensive members also collected. The majority (64%) of the individuals in the family collection therefore have BP within the conventionally accepted "normal range", and the family collection includes some extended families, though most are nuclear families. A total of 1425 subjects from 248 families were recruited; all 1372 family members in whom DNA was available were genotyped in the present study. The median family size was 5 people, 60% of families comprising between 4 and 6 genotyped and phenotyped members. 71% of families were 2-generation and 29% were 3-generation. 84% of families had an assessable sibship in the generation of the proband, while 16% of families consisted of a proband and their nuclear family (spouse and children over 18 years) only. The study complies with the principles of the Declaration of Helsinki; informed consent was obtained from all participants and the study was approved by the Central Oxford Research Ethics Committee and Newcastle and North Tyneside Local Research Ethics Committee.
Blood pressure was measured using ambulatory monitoring for a period of 24 hours in all subjects willing to undergo monitoring, using the A&D TM2421 monitor. Three readings were taken with the patient in a relaxed seated position at the start of the monitoring period. Simultaneous auscultation was carried out by a trained observer, to confirm satisfactory (within 5 mmHg) agreement between the monitor and auscultatory values; if this criterion was not met, the cuff was repositioned until satisfactory agreement was obtained. The three readings which had satisfactory agreement between the monitor and the observer in the final cuff position are referred to as "clinic readings". The monitor was programmed to record blood pressure every half-hour during the daytime and every hour during the night, and a recording was considered of satisfactory technical quality if at least 20 daytime ambulatory data points were available for analysis. Patients also recorded the time they went to bed and rose in the morning to enable individualised calculation of the "daytime" and "night-time" periods. Mean values for systolic and diastolic blood pressures for the clinic, daytime and night-time periods were analysed for association with genotypes.
A full clinical history was taken, which included the subject's medical history and lifestyle factors including consumption of alcohol and tobacco, and habitual physical exercise. Anthropometric data including height, weight and waist and hip circumferences were measured. DNA was extracted from blood samples using standard methods.
Four SNPs reported to be associated with hypertension by Wang and colleagues  were selected for genotyping; three at the STK39 locus on chromosome 2q24.3 (rs6749447, rs3754777 and rs35929607) and one on chromosome 9p21.3 (rs4977950) which gave the most significant signal for genome-wide association in the same study .
Multiplex SNP genotyping was performed using PCR followed by primer extension and MALDI-TOF mass spectrometry using iPLEX Gold technology from Sequenom (Sequenom Inc, San Diego, USA). SNP assays were designed using Sequenom's RealSNP http://www.RealSNP.com and MassARRAY Assay Design v3.0 Software. Primer sequences and full experimental methods are available in Additional File 1. Spectra were analysed using MassARRAY Typer v3.4 Software (Sequenom). Spectra and plots were manually reviewed and auto-calls were adjusted if required. Positive and negative controls were included. Mendelian inheritance and correspondence of genotype frequencies to Hardy-Weinberg proportions were tested using PEDSTATS .
Clinical and BP characteristics of the Caucasian participants
Median (LQ, UQ) in mmHg
Proportion of phenotypic variability (r2) explained by covariates for log-transformed variable
Heritability (h2) for adjusted variable
Structural heart disease
Clinic Systolic BP
134 (121.3, 152.3)
Clinic Diastolic BP
82 (73.7, 92)
Day Systolic BP
132.5 (122.1, 146)
Day Diastolic BP
79.7 (72.5, 90)
Night Systolic BP
113 (103.8, 126)
Night Diastolic BP
66 (60.2, 73.6)
Association of SNPs with STK39allelic expression
Identification of transcribed markers for allelic expression analysis
Allelic expression measures the relative amount of transcript arising from each allele in individuals heterozygous for a transcribed polymorphism. NCBI dbSNP (http://www.ncbi.nlm.nih.gov, 6th January 2009) was used to identify SNPs in transcribed regions of STK39 with minor allele frequencies greater than 5%. Nine transcribed variants were identified (rs1061471, rs3769429, rs7425806, rs3769428, rs56330212, rs56697518, rs56031549, rs1802105, rs56048258). Only two of these had previously been validated according to dbSNP (minor alleles observed in at least two chromosomes): rs1061471 in exon 18 (3' untranslated region) and rs56031549 in exon 11 (missense A/G SNP). Three of the reported variants (rs7425806, rs3769429 and rs3769428) were non-polymorphic in all HapMap populations. SNP rs1061471 was non-polymorphic in the Caucasian HapMap CEU population, but had a minor allele frequency of 11% and informative heterozygote frequency of 24% in the African HapMap YRI population. In order to find transcribed markers suitable for assessing allelic expression, we analysed rs1061471 and the five markers for which HapMap population frequencies were not available (rs1802105, rs56031549, rs56048258, rs56330212, rs56697518) as described below.
For expression analysis we chose a cohort collected from an African population comprising 309 anonymous South African blood donors (self-reported ethnicity for these individuals was: Cape Mixed Ancestry 200; black African 67; Indian 30; white 10; other 2). The study complies with the principles of the Declaration of Helsinki; written informed consent was obtained from all participants and the study was approved by the University of Cape Town Faculty of Health Sciences Research Ethics Committee. Compared to a Caucasian population such a cohort is expected to exhibit greater genetic diversity, i.e. an increase of the probability of obtaining informative samples (heterozygous for at least one transcribed marker) and a reduction of the length of blocks with high LD. The latter will improve the ability to separate the effects of different SNPs on expression. Peripheral blood for DNA and RNA analysis DNA was extracted using an in-house phenol/chloroform method from 4 ml of peripheral blood in EDTA. Genotyping was performed on the Sequenom platform (as described above) for rs1061471 and the other five markers for which HapMap population frequencies were unknown (rs1802105, rs56031549, rs56048258, rs56330212, rs56697518). 35 individuals heterozygous for the transcribed variant rs1061471 and therefore suitable for allelic expression analysis were identified. The other five SNPs tested had minor allele frequencies <1%, giving an insufficient number of heterozygotes to be used for AEI assessment (Additional File 1 Table S2).
For the 35 individuals heterozygous for rs1061471, RNA was extracted from 2.5 ml of peripheral blood collected using the PAXgene system (Qiagen) without DNase treatment and eluted into a volume of 80 μl. The RNA solution was then DNase treated using RQ1 RNase-Free DNase (Promega). Mean total RNA concentration quantified by photospectrometry was 166 (± 65) ng/μl in the eluate. Approximately 2 μg of total RNA was reverse transcribed using the SuperScript VILO cDNA Synthesis Kit (Invitrogen) and eluted in 20 μl.
Measurement of STK39allelic expression ratios
Quantification of the allelic expression ratio was performed by uniplex PCR from 1 ul of cDNA followed by primer extension and MALDI-TOF mass spectrometry using iPLEX Gold technology from Sequenom (Sequenom Inc, San Diego, USA). Primer sequences and full experimental methods for this are available in Additional File 1. Allelic ratios were estimated as the ratios of the area under G and A peaks, and were performed in four replicates from the same cDNA preparation. Results from amplification of genomic DNA (where alleles are present in a 1:1 ratio) from 19 individuals (performed in 4 replicates) were used as the equimolar reference to normalise the cDNA values.
Analyses were performed as described by Teare and colleagues  using the logarithm of the normalised allelic expression ratios.
Association with blood pressure
1372 individuals were included; 649 (47%) were male, 490 (36%) were hypertensive, and mean age was 49 (standard deviation 15.5) years. The clinical characteristics and BP parameters of participants are shown in Table 1. Median alcohol consumption was 3 (interquartile range 0-12) units per week. 43% reported no regular exercise per week, with 21%, 22% and 14% exercising once, twice, and three or more times per week respectively.
Allele frequencies of the SNPs typed in study participants
Frequency of putative risk allele
2q24 (STK39 intron)
2q24 (STK39 intron)
2q24 (STK39 intron)
9p21 (not within gene)
Effect sizes of tested SNPs
0.2 (-1.8, 2.3)
1 (-1, 2.9)
0.5 (-1.2, 2.2)
0 (-2.1, 2.1)
-0.3 (-1.6, 1.1)
0.4 (-0.9, 1.7)
0.1 (-1, 1.2)
-0.1 (-1.9, 1.7)
-0.3 (-1.5, 2)
0.1 (-1.4, 1.6)
0.2 (-1.7, 2)
-0.1 (-1.4, 1.1)
0.2 (-1, 1.4)
0.1 (-0.9, 1.2)
0.4 (-0.9, 1.7)
0.4 (-1.4, 2.1)
0.9 (-0.8, 2.6)
0.7 (-0.7, 2.2)
-0.2 (-2.1, 1.7)
0.7 (-0.5, 1.9)
1.1 (0, 2.3)
0.8 (-0.2, 1.8)
-0.1 (-1.3, 1.2)
Association with allelic expression
Association of tested SNPs with allelic expression differences
P-value adjusted for rs6749447
The STK39 SNPs reported to be associated with BP and hypertension by Wang and colleagues  did not show a significant association with BP in our British Caucasian families. Other published GWAS and two large recent meta-analyses did not identify associations achieving genome-wide significance levels for STK39 polymorphisms and BP, despite powerful analyses of combined cohorts involving 34,433 and 71,225 Caucasian individuals which successfully identified multiple other susceptibility loci [9, 10]. Although failure to achieve genome-wide significance levels does not exclude an effect of this locus on BP, any effect of sequence variation at STK39 on BP is too small to be detected in our data and is perhaps something particular to the Amish population. We also found no association with BP for the chromosome 9p21.3 SNP rs4977950 which was the top signal in the GWAS by Wang and colleagues (P = 9.1 × 10-8), and the only SNP to achieve significance at the genome-wide threshold in their study.
Inadequate power is an unlikely explanation for the lack of association in this study as the maximum plausible genetic effect for the typed SNPs on BP phenotypes, which we calculated based on the observed mean effect and 95% confidence intervals, was low in all cases and our data exclude an effect as large as the 3 mmHg increase in systolic BP per copy of the risk allele reported by Wang and colleagues in the Amish population. Families in the present study were selected through a hypertensive proband and had a higher proportion of hypertensive individuals and wider distribution of BP values; this should increase the power to detect an association with BP phenotypes compared to the cohorts in the study by Wang and colleagues, which were not selected for BP. The use of 24-hour ambulatory BP recordings in our study provides a more reproducible assessment of "usual" BP and reduces misclassification due to "white-coat" or masked hypertension that may occur with isolated clinic measurements [14, 15]; this should also reduce the noise and increase the power of our study. The heritability of night-time BP measures was significantly higher than clinic BP measures, which should increase the power for detecting genetic effects. It is a frequently observed phenomenon in genetic epidemiology that studies first reporting a novel association often show a more extreme odds ratio than subsequent replication studies ; if the effect size estimated by Wang et al is an upwardly biased estimate this might explain the negative association in our study and the other reported GWAS. The effect due to STK39 alleles observed by Wang et al was strongest in the Amish population and substantially weaker in the other Caucasian cohorts tested in their study. Our data suggest that the effect of the typed STK39 SNPs on BP is at most modest in a UK Caucasian population. If the reported association was caused by LD between the typed SNPs and another functional variant, then weaker LD in other populations, compared to the Amish population, could account for the results; this is particularly pertinent since closed founder populations are expected to exhibit extensive LD. Heterogeneity between the populations, including differences in population history, recruitment strategy, and phenotypes (such as the proportion of diabetics and hypertensives) might also contribute to the differences in genetic associations we have observed. Our analysis was performed using an additive model because this was the model used to report the most significant overall association by Wang and colleagues.
We have demonstrated that SNPs in the STK39 gene correlate with in vivo allelic expression of this gene in peripheral blood cells. This corroborates and extends the findings from reporter gene constructs in the study by Wang and colleagues. Using a luciferase assay in HELA and HEK293 cell lines they examined the effect on transcription of two SNPs (rs12692877 and rs35929607) that are in conserved elements and which were in complete LD with two of the SNPs associated with BP in their GWAS in the Amish population (rs6749447 and rs3754777 respectively). They demonstrated that the G allele of rs35929607, which was the allele reported to be associated with increased BP, was in isolation associated with a greater than two-fold increase in transcriptional activity compared to the A allele of this SNP, or either allele of rs12692877. Such in vitro studies have limitations since results depend on the constructs that are used and expression is considered outside of the normal chromatin and cellular context, which may not reflect true expression in complex tissues in vivo [16, 18]. Allelic expression analysis allows in vivo assessment of RNA transcripts in their native environment and regulatory context, and by controlling for trans-acting influences has high sensitivity to detect cis-acting effects. We found a stronger association between genotype and allelic expression for rs6749447 than for rs35929607, with the G allele of rs6749447 associated with a 13% increase in expression relative to the T allele. However, if the effect of rs6749447 is not accounted for, then our allelic expression analysis found that the G allele of rs35929607 was significantly associated with increased expression. This is consistent with the in vitro data from Wang and colleagues, although the magnitude of the relative increase in our study was lower at 7%. The difference in the magnitude of effect we observed compared to the in vitro transfection studies is not surprising in view of the fact that in vivo expression is likely to result from the interaction of multiple elements that modulate expression, rather than just a single SNP.
AEI can only be assessed in individuals who are heterozygous for a transcribed polymorphism in the gene of interest - there were no suitable transcribed SNPs in STK39 in Caucasian populations and in the African cohort the number of suitable heterozygotes was relatively small because of a low minor allele frequency (7%) at the transcribed SNP rs1061471. However, measurement of allelic expression ratios within samples is very sensitive for detection of cis-acting influences since trans-acting and experimental factors are identical for each allele (because comparisons are made within samples); this allows significant cis-acting effects to be detected in relatively few samples, as demonstrated in this study. Sensitivity of the technique for the detection of significant effects in equivalent sample sizes has been previously demonstrated [23, 24]. Populations of African-descent show on average smaller regions of high LD and greater heterozygosity compared to Caucasian populations [25, 26], and therefore using a South African cohort increases the sensitivity to separate the effects of different SNPs on expression. This trans-ethnic approach using populations of African descent has been shown to improve the fine mapping of functional polymorphisms associated with quantitative traits when strong LD between markers limits resolution of the functional locus in Caucasian populations . In the case of STK39, using a population of different ethnicity allowed allelic expression to be measured in the absence of transcribed polymorphisms in the Caucasian population. Correlation between STK39 SNPs and expression of this gene does not necessarily mean that these SNPs will influence BP and the finding of an association with STK39 expression in our study is therefore not at odds with the lack of association with BP we observed.
A limitation of the present study is that expression was only tested in white blood cells, rather than in a tissue of potentially greater relevance to BP regulation. However, many cis-acting influences on gene expression are expected to be the same in different cell types , although tissue-specific differences have been described . In the case of STK39 this approach is supported by the fact that rs35929607 genotype correlated with expression in immortalised cell lines derived from cervical tumour cells (HELA) and embryonic kidney cells (HEK293) in the study by Wang and colleagues, as well as with expression in blood in the present study. However, the effects may vary in other tissues. We have analysed the SNPs influencing expression in a South African cohort of mixed ethnicity, but the SNPs associated with expression may vary in different populations due to differing allele frequencies and LD patterns. Although the associations of SNPs with STK39 expression that we observe are highly statistically significant, the biological significance of these findings is less certain, since we cannot say what impact such an effect on expression has on disease risk. However, even small differences in gene expression due to genetic factors that are present throughout an individual's lifetime could contribute to differences in common late-onset phenotypes such as hypertension and, as mentioned above, the effects may be greater in tissues related to disease.
Future studies will be necessary to investigate the association of other SNPs at the STK39 locus with BP, or to determine whether rare mutations at this locus contribute significantly to population blood pressure variation, as has been shown for other genes implicated in hypertension causation .
STK39 expression is modified by polymorphisms acting in cis, but there is no evidence that these SNPs affecting STK39 transcription are associated with BP in a British Caucasian cohort.
We are grateful to the participants who contributed to this work. This work was supported by a British Heart Foundation award to BK (CH/07/001) and support from the Newcastle upon Tyne Hospitals NHS Trust Special Trustees. MSC is a British Cardiovascular Society/Swire Research Fellow. BK holds a British Heart Foundation Chair. The British family collection was funded by a grant from the Wellcome Trust (1993-96).
- Lawes CM, Hoorn SV, Rodgers A, International Society of Hypertension: Global burden of blood-pressure-related disease, 2001. Lancet. 2008, 371: 1513-1518. 10.1016/S0140-6736(08)60655-8.View ArticlePubMedGoogle Scholar
- Levy D, DeStefano AL, Larson MG, O'Donnell CJ, Lifton RP, Gavras H, Cupples LA, Myers RH: Evidence for a Blood Pressure Gene on Chromosome 17: Genome Scan Results for longitudinal blood pressure phenotypes in subjects from the Framingham Heart Study. Hypertension. 2000, 36: 477-483.View ArticlePubMedGoogle Scholar
- Wang Y, O'Connell JR, McArdle PF, Wade JB, Dorff SE, Shah SJ, Shi X, Pan L, Rampersaud E, Shen H, Kim JD, Subramanya AR, Steinle NI, Parsa A, Ober CC, et al: Whole-genome association study identifies STK39 as a hypertension susceptibility gene. Proceedings of the National Academy of Sciences. 2009, 106 (1): 226-231. 10.1073/pnas.0808358106.View ArticleGoogle Scholar
- Hsueh WC, Mitchell BD, Aburomia R, Pollin T, Sakul H, Ehm MG, Michelsen BK, Wagner MJ, St Jean PL, Knowler WC, Burns DK, Bell CJ, Shuldiner AR: Diabetes in the old order Amish: Characterization and heritability analysis of the Amish family diabetes study. Diabetes Care. 2000, 23 (5): 595-601. 10.2337/diacare.23.5.595.View ArticlePubMedGoogle Scholar
- Hoggart CJ, Clark TG, De Iorio M, Whittaker JC, Balding DJ: Genome-wide significance for dense SNP and resequencing data. Genetic Epidemiology. 2008, 32 (2): 179-185. 10.1002/gepi.20292.View ArticlePubMedGoogle Scholar
- Delpire E, Gagnon KBE: SPAK and OSR1: STE20 kinases involved in the regulation of ion homoeostasis and volume control in mammalian cells. Biochemical Journal. 2008, 409 (2): 321-331. 10.1042/BJ20071324.View ArticlePubMedGoogle Scholar
- Moriguchi T, Urushiyama S, Hisamoto N, Iemura SI, Uchida S, Natsume T, Matsumoto K, Shibuya H: WNK1 regulates phosphorylation of cation-chloride-coupled cotransporters via the STE20-related kinases, SPAK and OSR1. Journal of Biological Chemistry. 2005, 280 (52): 42685-42693. 10.1074/jbc.M510042200.View ArticlePubMedGoogle Scholar
- The Wellcome Trust Case Control Consortium: Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature. 2007, 447 (7145): 661-678. 10.1038/nature05911.View ArticlePubMed CentralGoogle Scholar
- Newton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, Najjar SS, Zhao JH, Heath SC, Eyheramendy S, Papadakis K, Voight BF, Scott LJ, Zhang F, Farrall M, et al: Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet. 2009, 41 (6): 666-676. 10.1038/ng.361.View ArticlePubMedPubMed CentralGoogle Scholar
- Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, Glazer NL, Morrison AC, Johnson AD, Aspelund T, Aulchenko Y, Lumley T, Kottgen A, Vasan RS, Rivadeneira F, et al: Genome-wide association study of blood pressure and hypertension. Nat Genet. 2009, 41 (6): 677-687. 10.1038/ng.384.View ArticlePubMedPubMed CentralGoogle Scholar
- Adeyemo A, Gerry N, Chen G, Herbert A, Doumatey A, Huang H, Zhou J, Lashley K, Chen Y, Christman M, Rotimi C: A Genome-Wide Association Study of Hypertension and Blood Pressure in African Americans. PLoS Genet. 2009, 5 (7): e1000564-10.1371/journal.pgen.1000564.View ArticlePubMedPubMed CentralGoogle Scholar
- Palomino-Doza J, Rahman TJ, Avery PJ, Mayosi BM, Farrall M, Watkins H, Edwards CRW, Keavney B: Ambulatory Blood Pressure Is Associated With Polymorphic Variation in P2X Receptor Genes. Hypertension. 2008, 52 (5): 980-985. 10.1161/HYPERTENSIONAHA.108.113282.View ArticlePubMedGoogle Scholar
- Cunnington MS, Mayosi BM, Hall DH, Avery PJ, Farrall M, Vickers MA, Watkins H, Keavney B: Novel genetic variants linked to coronary artery disease by genome-wide association are not associated with carotid artery intima-media thickness or intermediate risk phenotypes. Atherosclerosis. 2009, 203 (1): 41-44. 10.1016/j.atherosclerosis.2008.06.025.View ArticlePubMedPubMed CentralGoogle Scholar
- Coats AJS: Benefits of ambulatory blood pressure monitoring in the design of antihypertensive drug trials. Blood Pressure Monitoring. 1996, 1 (2): 157-160.PubMedGoogle Scholar
- Pickering TG, Shimbo D, Haas D: Ambulatory blood-pressure monitoring. New England Journal of Medicine. 2006, 354 (22): 2368-2374. 10.1056/NEJMra060433.View ArticlePubMedGoogle Scholar
- Pastinen T, Hudson TJ: Cis-acting regulatory variation in the human genome. Science. 2004, 306 (5696): 647-650. 10.1126/science.1101659.View ArticlePubMedGoogle Scholar
- Teare MD, Heighway J, Santibanez Koref MF: An Expectation-Maximization Algorithm for the Analysis of Allelic Expression Imbalance. Am J Hum Genet. 2006, 79 (3): 539-543. 10.1086/506968.View ArticlePubMedPubMed CentralGoogle Scholar
- Cirulli ET, Goldstein DB: In vitro assays fail to predict in vivo effects of regulatory polymorphisms. Hum Mol Genet. 2007, 16 (16): 1931-1939. 10.1093/hmg/ddm140.View ArticlePubMedGoogle Scholar
- Wigginton JE, Abecasis GR: PEDSTATS: descriptive statistics, graphics and quality assessment for gene mapping data. Bioinformatics. 2005, 21 (16): 3445-3447. 10.1093/bioinformatics/bti529.View ArticlePubMedGoogle Scholar
- Chen W-M, Abecasis GR: Family-Based Association Tests for Genomewide Association Scans. The American Journal of Human Genetics. 2007, 81 (5): 913-926. 10.1086/521580.View ArticlePubMedGoogle Scholar
- Abecasis GR, Cherny SS, Cookson WO, Cardon LR: Merlin - rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet. 2002, 30 (1): 97-101. 10.1038/ng786.View ArticlePubMedGoogle Scholar
- Ioannidis JP: Why most discovered true associations are inflated. Epidemiology (Cambridge, Mass). 2008, 19 (5): 640-648.View ArticleGoogle Scholar
- Heighway J, Bowers NL, Smith S, Betticher DC, Santibanez Koref MF: The use of allelic expression differences to ascertain functional polymorphisms acting in cis: Analysis of MMP1 transcripts in normal lung tissue. Annals of Human Genetics. 2005, 69 (1): 127-133. 10.1046/j.1529-8817.2004.00135.x.View ArticlePubMedGoogle Scholar
- Campino S, Forton J, Raj S, Mohr B, Auburn S, Fry A, Mangano VD, Vandiedonck C, Richardson A, Rockett K, Clark TG, Kwiatkowski DP: Validating Discovered Cis-Acting Regulatory Genetic Variants: Application of an Allele Specific Expression Approach to HapMap Populations. PLoS ONE. 2008, 3 (12): e4105-10.1371/journal.pone.0004105.View ArticlePubMedPubMed CentralGoogle Scholar
- Campbell MC, Tishkoff SA: African Genetic Diversity: Implications for Human Demographic History, Modern Human Origins, and Complex Disease Mapping. Annual Review of Genomics and Human Genetics. 2008, 9 (1): 403-433. 10.1146/annurev.genom.9.081307.164258.View ArticlePubMedPubMed CentralGoogle Scholar
- Tishkoff SA, Reed FA, Friedlaender FR, Ehret C, Ranciaro A, Froment A, Hirbo JB, Awomoyi AA, Bodo J-M, Doumbo O, Ibrahim M, Juma AT, Kotze MJ, Lema G, Moore JH, et al: The Genetic Structure and History of Africans and African Americans. Science. 2009, 324 (5930): 1035-1044. 10.1126/science.1172257.View ArticlePubMedPubMed CentralGoogle Scholar
- McKenzie CA, Abecasis GR, Keavney B, Forrester T, Ratcliffe PJ, Julier C, Connell JM, Bennett F, McFarlane-Anderson N, Lathrop GM, Cardon LR: Trans-ethnic fine mapping of a quantitative trait locus for circulating angiotensin I-converting enzyme (ACE). Hum Mol Genet. 2001, 10 (10): 1077-1084. 10.1093/hmg/10.10.1077.View ArticlePubMedGoogle Scholar
- Mahr S, Burmester G-R, Hilke D, Gobel U, Grutzkau A, Haupl T, Hauschild M, Koczan D, Krenn V, Neidel J, Perka C, Radbruch A, Thiesen H-J, Muller B: Cis - and Trans-Acting Gene Regulation Is Associated with Osteoarthritis. Am J Hum Genet. 2006, 78 (5): 793-803. 10.1086/503849.View ArticlePubMedPubMed CentralGoogle Scholar
- Koch O, Kwiatkowski DP, Udalova IA: Context-specific functional effects of IFNGR1 promoter polymorphism. Hum Mol Genet. 2006, 15 (9): 1475-1481. 10.1093/hmg/ddl071.View ArticlePubMedGoogle Scholar
- Ji W, Foo JN, O'Roak BJ, Zhao H, Larson MG, Simon DB, Newton-Cheh C, State MW, Levy D, Lifton RP: Rare independent mutations in renal salt handling genes contribute to blood pressure variation. Nat Genet. 2008, 40 (5): 592-599. 10.1038/ng.118.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/10/135/prepub
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