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Olson NC, Raffield LM, Lange LA, Lange EM, Longstreth WT, Chauhan G, Debette S, Seshadri S, Reiner AP, Tracy RP. Associations of activated coagulation factor VII and factor VIIa-antithrombin levels with genome-wide polymorphisms and cardiovascular disease risk. J Thromb Haemost 2018; 16:19-30. [PMID: 29112333 PMCID: PMC5760305 DOI: 10.1111/jth.13899] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Indexed: 11/26/2022]
Abstract
ESSENTIALS Essentials A fraction of coagulation factor VII circulates in blood as an activated protease (FVIIa). We evaluated FVIIa and FVIIa-antithrombin (FVIIa-AT) levels in the Cardiovascular Health Study. Polymorphisms in the F7 and PROCR loci were associated with FVIIa and FVIIa-AT levels. FVIIa may be an ischemic stroke risk factor in older adults and FVIIa-AT may assess mortality risk. SUMMARY Background A fraction of coagulation factor (F) VII circulates as an active protease (FVIIa). FVIIa also circulates as an inactivated complex with antithrombin (FVIIa-AT). Objective Evaluate associations of FVIIa and FVIIa-AT with genome-wide single nucleotide polymorphisms (SNPs) and incident coronary heart disease, ischemic stroke and mortality. Patients/Methods We measured FVIIa and FVIIa-AT in 3486 Cardiovascular Health Study (CHS) participants. We performed a genome-wide association scan for FVIIa and FVIIa-AT in European-Americans (n = 2410) and examined associations of FVII phenotypes with incident cardiovascular disease. Results In European-Americans, the most significant SNP for FVIIa and FVIIa-AT was rs1755685 in the F7 promoter region on chromosome 13 (FVIIa, β = -25.9 mU mL-1 per minor allele; FVIIa-AT, β = -26.6 pm per minor allele). Phenotypes were also associated with rs867186 located in PROCR on chromosome 20 (FVIIa, β = 7.8 mU mL-1 per minor allele; FVIIa-AT, β = 9.9 per minor allele). Adjusted for risk factors, a one standard deviation higher FVIIa was associated with increased risk of ischemic stroke (hazard ratio [HR], 1.12; 95% confidence interval [CI], 1.01, 1.23). Higher FVIIa-AT was associated with mortality from all causes (HR, 1.08; 95% CI, 1.03, 1.12). Among European-American CHS participants the rs1755685 minor allele was associated with lower ischemic stroke (HR, 0.69; 95% CI, 0.54, 0.88), but this association was not replicated in a larger multi-cohort analysis. Conclusions The results support the importance of the F7 and PROCR loci in variation in circulating FVIIa and FVIIa-AT. The findings suggest FVIIa is a risk factor for ischemic stroke in older adults, whereas higher FVIIa-AT may reflect mortality risk.
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Affiliation(s)
- N C Olson
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Cardiovascular Research Institute of Vermont, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - L M Raffield
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - L A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - E M Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - G Chauhan
- INSERM U1219 Neuroepidemiology, Bordeaux, France
- University of Bordeaux, Bordeaux, France
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
| | - S Debette
- INSERM U1219 Neuroepidemiology, Bordeaux, France
- University of Bordeaux, Bordeaux, France
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - A P Reiner
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - R P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Cardiovascular Research Institute of Vermont, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Biochemistry, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
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2
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Raghavan S, Zhang W, Yang IV, Lange LA, Lange EM, Fingerlin TE, Dabelea D. Association between gestational diabetes mellitus exposure and childhood adiposity is not substantially explained by offspring genetic risk of obesity. Diabet Med 2017; 34:1696-1700. [PMID: 29048747 PMCID: PMC6880873 DOI: 10.1111/dme.13529] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/16/2017] [Indexed: 11/28/2022]
Abstract
AIM To examine the extent to which offspring obesity-associated genetic risk explains the association between gestational diabetes mellitus and childhood adiposity. METHODS We studied 282 children aged 7-12 years who were enrolled in the Exploring Perinatal Outcomes in Children Study. A genetic risk score for BMI was calculated as the count of 91 established BMI-raising risk alleles. Multivariable linear and logistic regression models were used to estimate associations between the offspring genetic risk score and exposure to gestational diabetes and childhood adiposity (BMI and waist circumference), adjusting for clinical and demographic covariates. The contribution of offspring genetic risk to associations between maternal gestational diabetes and childhood outcomes was estimated by comparing the regression coefficients for the gestational diabetes variable in models with and without the genetic risk score. RESULTS The offspring BMI genetic risk score was associated with childhood BMI (P = 0.006) and waist circumference (P = 0.02), and marginally with gestational diabetes (P = 0.05). Offspring BMI genetic risk did not contribute significantly to associations between gestational diabetes and childhood BMI [7.7% (95% CI -3.3, 18.8)] or waist circumference [5.8% (95% CI -3.1, 14.8); P = 0.2 for both]. CONCLUSIONS Offspring obesity genetic risk does not explain a significant proportion of the association between gestational diabetes exposure and childhood adiposity. The association between gestational diabetes and childhood adiposity is probably explained through alternative pathways, including direct intrauterine effects or a shared postnatal environment.
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Affiliation(s)
- S Raghavan
- Veterans Affairs Eastern Colorado Healthcare System, Denver, CO, USA
- Division of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
| | - W Zhang
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - I V Yang
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
- National Jewish Health, Center for Genes, Environment, and Health, Denver, CO, USA, USA
| | - L A Lange
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
| | - E M Lange
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
| | - T E Fingerlin
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
- National Jewish Health, Center for Genes, Environment, and Health, Denver, CO, USA, USA
| | - D Dabelea
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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3
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Graff M, North KE, Richardson AS, Young KL, Mazul AL, Highland HM, Mohlke KL, Lange LA, Lange EM, Mullan Harris K, Gordon-Larsen P. BMI loci and longitudinal BMI from adolescence to young adulthood in an ethnically diverse cohort. Int J Obes (Lond) 2016; 41:759-768. [PMID: 28025578 PMCID: PMC5413409 DOI: 10.1038/ijo.2016.233] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 11/09/2016] [Accepted: 11/24/2016] [Indexed: 01/15/2023]
Abstract
Objective The association of obesity susceptibility variants with change in
body mass index (BMI) across the life course is not well understood. Subjects In ancestry stratified models of 5,962 European American (EA), 2,080
African American (AA), and 1,582 Hispanic American (HA) individuals from the
National Longitudinal Study of Adolescent to Adult Health (Add Health), we
examined associations between 34 obesity SNPs with per year change in BMI,
measured by the slope from a growth-curve analysis of two or more BMI
measurements between adolescence and young adulthood. For SNPs nominally
associated with BMI change (p<0.05), we interrogated age differences
within data collection Wave and time differences between age categories that
overlapped between Waves. Results We found SNPs in/near FTO, MC4R, MTCH2, TFAP2B, SEC16B, and
TMEM18 were significantly associated (p<0.0015
≈ 0.05/34) with BMI change in EA and the ancestry-combined
meta-analysis. Rs9939609 in FTO met genome-wide
significance at p<5e-08 in the EA and ancestry combined analysis,
respectively [Beta(se)=0.025(0.004);Beta(se)=0.021(0.003)]. No SNPs were
significant after Bonferroni correction in AA or HA, although 5 SNPs in AA
and 4 SNPs in HA were nominally significant (p<0.05). In EA and the
ancestry-combined meta-analysis, rs3817334 near MTCH2
showed larger effects in younger respondents, while rs987237 near
TFAP2B, showed larger effects in older respondents
across all Waves. Differences in effect estimates across time for
MTCH2 and TFAP2B are suggestive of
either era or cohort effects. Conclusion The observed association between variants in/near FTO, MC4R,
MTCH2, TFAP2B, SEC16B, and TMEM18 with change in BMI from
adolescence to young adulthood suggest that the genetic effect of BMI loci
varies over time in a complex manner, highlighting the importance of
investigating loci influencing obesity risk across the life course.
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Affiliation(s)
- M Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - K E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
| | | | - K L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - A L Mazul
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - H M Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - K L Mohlke
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - L A Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - E M Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - K Mullan Harris
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Sociology, University of North Carolina, Chapel Hill, NC, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.,Department of Nutrition, Gillings School of Global Public Health, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
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4
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Graff M, Richardson AS, Young KL, Mazul AL, Highland H, North KE, Mohlke KL, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. The interaction between physical activity and obesity gene variants in association with BMI: Does the obesogenic environment matter? Health Place 2016; 42:159-165. [PMID: 27771443 PMCID: PMC5116401 DOI: 10.1016/j.healthplace.2016.09.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Revised: 09/23/2016] [Accepted: 09/26/2016] [Indexed: 11/16/2022]
Abstract
Little is known about how obesity susceptibility single nucleotide polymorphisms (SNPs) interact with moderate to vigorous physical activity (MVPA) in relation to BMI during adolescence, once obesogenic neighborhood factors are accounted for. In race stratified models, including European (EA; N=4977), African (AA; N=1726), and Hispanic Americans (HA; N=1270) from the National Longitudinal Study of Adolescent to Adult Health (1996; ages 12-21), we assessed the evidence for a SNPxMVPA interaction with BMI-for-age Z score, once accounting for obesogenic neighborhood factors including physical activity amenities, transportation and recreation infrastructure, poverty and crime. Eight SNPxMVPA interactions with suggestive significance (p<0.10; three in each EA, and AA, two in HA) were observed showing attenuation on BMI-for-age Z score in adolescents with ≥5 versus <5 bouts/week MVPA, except for rs10146997 (near NRXN3). Findings were robust to the inclusion of neighborhood-level variables as covariates. These findings suggest that any attenuation from MVPA on a genetic susceptibility to obesity during adolescence is likely not operating through obesogenic neighborhood factors.
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Affiliation(s)
- M Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA.
| | | | - K L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA; Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514 USA
| | - A L Mazul
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA
| | - Heather Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA
| | - K E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA; Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA
| | - K L Mohlke
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27514 USA
| | - L A Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27514 USA
| | - E M Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27514 USA
| | - K M Harris
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Sociology, Univlersity of North Carolina, Chapel Hill, NC 27514 USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Nutrition Gillings School of Global Public Health & School of Medicine, University of North Carolina, Chapel Hill, NC 27514 USA
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5
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Young KL, Graff M, North KE, Richardson AS, Bradfield JP, Grant SFA, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. Influence of SNP*SNP interaction on BMI in European American adolescents: findings from the National Longitudinal Study of Adolescent Health. Pediatr Obes 2016; 11:95-101. [PMID: 25893265 PMCID: PMC4615264 DOI: 10.1111/ijpo.12026] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Revised: 02/05/2015] [Accepted: 02/23/2015] [Indexed: 12/20/2022]
Abstract
BACKGROUND Adolescent obesity is predictive of future weight gain, obesity and adult onset severe obesity (body mass index [BMI] ≥40 kg m(-2) ). Despite successful efforts to identify Single Nucleotide Polymorphisms (SNPs) influencing BMI, <5% of the 40-80% heritability of the phenotype has been explained. Identification of gene-gene (G-G) interactions between known variants can help explain this hidden heritability as well as identify potential biological mechanisms affecting weight gain during this critical developmental period. OBJECTIVE We have recently shown distinct genetic effects on BMI across the life course, and thus it is important to examine the evidence for epistasis in adolescence. METHODS In adolescent participants of European descent from wave II of the National Longitudinal Study of Adolescent Health (Add Health, n = 5072, ages 12-21, 52.5% female), we tested 34 established BMI-related SNPs for G-G interaction effects on BMI z-score. We used mixed-effects regression, assuming multiplicative interaction models adjusting for age, sex and geographic region, with random effects for family and school. RESULTS For 28 G-G interactions that were nominally significant (P < 0.05), we attempted to replicate our results in an adolescent sample from the Childhood European American Cohort from Philadelphia. In the replication study, one interaction (PRKD1-FTO) was significant after correction for multiple testing. CONCLUSIONS Our results are suggestive of epistatic effects on BMI during adolescence and point to potentially interactive effects between genes in biological pathways important in obesity.
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Affiliation(s)
- KL Young
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - M Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KE North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA
| | - AS Richardson
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Deptartment of Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA
| | - JP Bradfield
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - SFA Grant
- Department of Pediatrics, Children’s Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania, USA
| | - LA Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - EM Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KM Harris
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Sociology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Deptartment of Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA
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Olson NC, Butenas S, Lange LA, Lange EM, Cushman M, Jenny NS, Walston J, Souto JC, Soria JM, Chauhan G, Debette S, Longstreth WT, Seshadri S, Reiner AP, Tracy RP. Coagulation factor XII genetic variation, ex vivo thrombin generation, and stroke risk in the elderly: results from the Cardiovascular Health Study. J Thromb Haemost 2015; 13:1867-77. [PMID: 26286125 PMCID: PMC4946166 DOI: 10.1111/jth.13111] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 06/12/2015] [Accepted: 08/02/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND The relationships of thrombin generation (TG) with cardiovascular disease risk are underevaluated in population-based cohorts. OBJECTIVES To evaluate the relationships of TG influenced by the contact and tissue factor coagulation pathways ex vivo with common single-nucleotide polymorphisms (SNPs) and incident cardiovascular disease and stroke. PATIENTS/METHODS We measured peak TG (pTG) in baseline plasma samples of Cardiovascular Health Study participants (n = 5411), both with and without inhibitory anti-factor XIa antibody (pTG/FXIa(-) ). We evaluated their associations with ~ 50 000 SNPs by using the IBCv2 genotyping array, and with incident cardiovascular disease and stroke events over a median follow-up of 13.2 years. RESULTS The minor allele for an SNP in the FXII gene (F12), rs1801020, was associated with lower pTG in European-Americans (β = - 34.2 ± 3.5 nm; P = 3.3 × 10(-22) ; minor allele frequency [MAF] = 0.23) and African-Americans (β = - 31.1 ± 7.9 nm; P = 9.0 × 10(-5) ; MAF = 0.42). Lower FXIa-independent pTG (pTG/FXIa(-) ) was associated with the F12 rs1801020 minor allele, and higher pTG/FXIa(-) was associated with the ABO SNP rs657152 minor allele (β = 16.3 nm; P = 4.3 × 10(-9) ; MAF = 0.37). The risk factor-adjusted ischemic stroke hazard ratios were 1.09 (95% confidence interval CI 1.01-1.17; P = 0.03) for pTG, 1.06 (95% CI 0.98-1.15; P = 0.17) for pTG/FXIa(-) , and 1.11 (95% CI 1.02-1.21; P = 0.02) for FXIa-dependent pTG (pTG/FXIa(+) ), per one standard deviation increment (n = 834 ischemic strokes). In a multicohort candidate gene analysis, rs1801020 was not associated with incident ischemic stroke (β = - 0.02; standard error = 0.08; P = 0.81). CONCLUSIONS These results support the importance of contact activation pathway-dependent TG as a risk factor for ischemic stroke, and indicate the importance of F12 SNPs for TG ex vivo and in vivo.
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Affiliation(s)
- N C Olson
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - S Butenas
- Department of Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
| | - L A Lange
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - E M Lange
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - M Cushman
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
- Department of Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - N S Jenny
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - J Walston
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - J C Souto
- Department of Hematology, Institute of Biomedical Research (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - J M Soria
- Unit of Genomics of Complex Diseases, Institute of Biomedical Research (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - G Chauhan
- INSERM U897, University of Bordeaux, Bordeaux, France
- University of Bordeaux, Bordeaux, France
| | - S Debette
- INSERM U897, University of Bordeaux, Bordeaux, France
- University of Bordeaux, Bordeaux, France
- Bordeaux University Hospital, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - R P Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
- Department of Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
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7
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Richardson AS, North KE, Graff M, Young KM, Mohlke KL, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. Moderate to vigorous physical activity interactions with genetic variants and body mass index in a large US ethnically diverse cohort. Pediatr Obes 2014; 9:e35-46. [PMID: 23529959 PMCID: PMC3707946 DOI: 10.1111/j.2047-6310.2013.00152.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2012] [Revised: 02/06/2013] [Accepted: 01/31/2013] [Indexed: 12/23/2022]
Abstract
BACKGROUND Little is known about the interaction between genetic and behavioural factors during lifecycle risk periods for obesity and how associations vary across race/ethnicity. OBJECTIVE The objective of this study was to examine joint associations of adiposity-related single-nucleotide polymorphisms (SNPs) and moderate to vigorous physical activity (MVPA) with body mass index (BMI) in a diverse adolescent cohort. METHODS Using data from the National Longitudinal Study of Adolescent Health (n = 8113: Wave II 1996; ages 12-21, Wave III; ages 18-27), we assessed interactions of 41 well-established SNPs and MVPA with BMI-for-age Z-scores in European Americans (EA; n = 5077), African-Americans (AA; n = 1736) and Hispanic Americans (HA; n = 1300). RESULTS Of 97 assessed, we found nominally significant SNP-MVPA interactions on BMI-for-age Z-score in EA at GNPDA2 and FTO and in HA at LZTR2/SEC16B. In EA, the estimated effect of the FTO risk allele on BMI-for-age Z-score was lower (β = -0.13; 95% confidence interval [CI]: 0.08, 0.18) in individuals with ≥5 vs. <5 (β = 0.24; CI: 0.16, 0.32) bouts of MVPA per week (P for interaction 0.02). Race/ethnicity-pooled meta-analysis showed nominally significant interactions for SNPs at TFAP2B, POC5 and LYPLAL1. CONCLUSIONS High MVPA may attenuate underlying genetic risk for obesity during adolescence, a high-risk period for adult obesity.
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Affiliation(s)
- AS Richardson
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Nutrition Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KE North
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - M Graff
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KM Young
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KL Mohlke
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - LA Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - EM Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KM Harris
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Sociology, North Carolina, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Nutrition Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
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8
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Graff M, North KE, Richardson AS, Young KM, Mohlke KL, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. Screen time behaviours may interact with obesity genes, independent of physical activity, to influence adolescent BMI in an ethnically diverse cohort. Pediatr Obes 2013; 8:e74-9. [PMID: 24039247 PMCID: PMC3838440 DOI: 10.1111/j.2047-6310.2013.00195.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2012] [Revised: 06/12/2013] [Accepted: 07/06/2013] [Indexed: 01/27/2023]
Abstract
BACKGROUND There has been little investigation of gene-by-environment interactions related to sedentary behaviour, a risk factor for obesity defined as leisure screen time (ST; i.e. television, video and computer games). OBJECTIVE To test the hypothesis that limiting ST use attenuates the genetic predisposition to increased body mass index (BMI), independent of physical activity. DESIGN Using 7642 wave II participants of the National Longitudinal Study of Adolescent Health, (Add Health; mean = 16.4 years, 52.6% female), we assessed the interaction of ST (h week(-1) ) and 41 established obesity single nucleotide polymorphisms (SNPs) with age- and sex-specific BMI Z-scores in 4788 European-American (EA), 1612 African-American (AA) and 1242 Hispanic American (HA) adolescents. RESULTS Nominally significant SNP*ST interaction were found for FLJ35779 in EA, GNPDA2 in AA and none in HA (EA: beta [SE] = 0.016[0.007]), AA: beta [SE] = 0.016[0.011]) per 7 h week(-1) ST and one risk allele in relation to BMI Z-score. CONCLUSIONS While for two established BMI loci, we find evidence that high levels of ST exacerbate the influence of obesity susceptibility variants on body mass; overall, we do not find strong evidence for interactions between the majority of established obesity loci. However, future studies with larger sample sizes, or that may build on our current study and the growing published literature, are clearly warranted.
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Affiliation(s)
- M Graff
- Department of Epidemiology, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA
| | - KE North
- Department of Epidemiology, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA
| | - AS Richardson
- Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA
| | - K M Young
- Department of Epidemiology, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA
| | - KL Mohlke
- Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - LA Lange
- Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - EM Lange
- Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - KM Harris
- Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Sociology, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA,Department of Nutrition, University of North Carolina, Chapel Hill,
North Carolina, USA
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9
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Matteini AM, Li J, Lange EM, Tanaka T, Lange LA, Tracy RP, Wang Y, Biggs ML, Arking DE, Fallin MD, Chakravarti A, Psaty BM, Bandinelli S, Ferrucci L, Reiner AP, Walston JD. Novel gene variants predict serum levels of the cytokines IL-18 and IL-1ra in older adults. Cytokine 2013; 65:10-6. [PMID: 24182552 DOI: 10.1016/j.cyto.2013.10.002] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2013] [Revised: 08/23/2013] [Accepted: 10/04/2013] [Indexed: 10/26/2022]
Abstract
Activation of inflammatory pathways measured by serum inflammatory markers such as interleukin-18 (IL-18) and interleukin-1 receptor antagonist (IL-1ra) is strongly associated with the progression of chronic disease states in older adults. Given that these serum cytokine levels are in part a heritable trait, genetic variation may predict increased serum levels. Using the Cardiovascular Health Study and InCHIANTI cohorts, a genome-wide association study was performed to identify genetic variants that influence IL-18 and IL-1ra serum levels among older adults. Multiple linear regression models characterized the association between each SNP and log-transformed cytokine values. Tests for multiple independent signals within statistically significant loci were performed using haplotype analysis and regression models conditional on lead SNP in each region. Multiple SNPs were associated with these cytokines with genome-wide significance, including SNPs in the IL-18-BCO gene region of chromosome 2 for IL-18 (top SNP rs2250417, P=1.9×10(-32)) and in the IL-1 gene family region of chromosome 2 for IL-1ra (rs6743376, P=2.3×10(-26)). Haplotype tests and conditional linear regression models showed evidence of multiple independent signals in these regions. Serum IL-18 levels were also associated with a region on chromosome 2 containing the NLRC4 gene (rs12989936, P=2.7×10(-19)). These data characterize multiple robust genetic signals that influence IL-18 and IL-1ra cytokine production. In particular, the signal for serum IL-18 located on chromosome two is novel and potentially important in inflammasome triggered chronic activation of inflammation in older adults. Replication in independent cohorts is an important next step, as well as molecular studies to better understand the role of NLRC4.
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Affiliation(s)
- A M Matteini
- Division of Geriatric Medicine, Johns Hopkins Medical Institution, Baltimore, MD, USA.
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10
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Graff M, North KE, Monda KL, Lange EM, Lange LA, Guo G, Gordon-Larsen P. The combined influence of genetic factors and sedentary activity on body mass changes from adolescence to young adulthood: the National Longitudinal Adolescent Health Study. Diabetes Metab Res Rev 2011; 27:63-9. [PMID: 21218509 PMCID: PMC3040976 DOI: 10.1002/dmrr.1147] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2010] [Revised: 09/20/2010] [Accepted: 10/10/2010] [Indexed: 11/07/2022]
Abstract
BACKGROUND an increase in sedentary activities is likely a major contributor to the rise in obesity over the last three decades. Little research has examined interactions between genetic variants and sedentary activity on obesity phenotypes. High levels of sedentary activity during adolescence may interact with genetic factors to influence body mass changes between adolescence and young adulthood, a high risk period for weight gain. METHODS in the National Longitudinal Study of Adolescent Health, siblings and twin pairs (16.5 ± 1.7 years) were followed into young adulthood (22.4 ± 1.8 years). Self-reported screen time (TV, video, and computer use in h/week) and body mass index (kg/m(2) ), calculated from measured height and weight at adolescence and at young adulthood, were available for 3795 participants. We employed a variance component approach to estimate the interaction between genotype and screen time for body mass changes. Additive genotype-by-screen time interactions were assessed using likelihood-ratio tests. Models were adjusted for race, age, sex, and age-by-sex interaction. RESULTS the genetic variation in body mass changes was significantly larger in individuals with low ( δ(G) = 27.59 ± 1.58) compared with high (δ(G) = 18.76 ± 2.59) levels of screen time (p < 0.003) during adolescence. CONCLUSIONS Our findings demonstrate that sedentary activities during adolescence may interact with genetic factors to influence body mass changes between adolescence and young adulthood. Accounting for obesity-related behaviours may improve current understanding of the genetic variation in body mass changes.
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Affiliation(s)
- M Graff
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27516-3997 USA
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11
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Beebe-Dimmer JL, Zuhlke KA, Ray AM, Lange EM, Cooney KA. Genetic variation in adiponectin (ADIPOQ) and the type 1 receptor (ADIPOR1), obesity and prostate cancer in African Americans. Prostate Cancer Prostatic Dis 2010; 13:362-8. [PMID: 20697428 PMCID: PMC2978765 DOI: 10.1038/pcan.2010.27] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background Adiponectin is a protein derived from adipose tissue suspected to play an important role in prostate carcinogenesis. Variants in the adiponectin gene (ADIPOQ) and its type I receptor (ADIPOR1) have been recently linked to risk of both breast and colorectal cancer. Therefore, we set out to examine the relationship between polymorphisms in these genes, obesity and prostate cancer in study of African American men. Methods Ten single nucleotide polymorphisms (SNPs) in ADIPOQ and ADIPOR1 were genotyped in DNA samples from 131 African American prostate cancer cases and 344 controls participating in the Flint Men's Health Study. Logistic regression was then used to estimate their association with prostate cancer and obesity. Results While no significant associations were detected between any of the tested SNPs and prostate cancer, the rs1501299 SNP in ADIPOQ was significantly associated with body mass (p=0.03). Conclusions Genetic variation in ADIPOQ and ADIPOR1 did not predict risk of prostate cancer in this study of African American men. However, the rs1501299 SNP in ADIPOQ was associated with obesity. Further investigation is warranted to determine if racial differences exist in the influence of the adiponectin pathway on prostate cancer risk.
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Affiliation(s)
- J L Beebe-Dimmer
- Department of Population Studies and Prevention, Karmanos Cancer Institute, Department of Internal Medicine, Wayne State University, Detroit, MI 48201, USA.
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12
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Cooney KA, Salinas CA, Ray AM, Wang Y, Lange EM, Zuhlke KA. Evaluation of the genetic component of early-onset prostate cancer. J Clin Oncol 2010. [DOI: 10.1200/jco.2010.28.15_suppl.4502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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13
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Ray AM, Zuhlke KA, Johnson GR, Levin AM, Douglas JA, Lange EM, Cooney KA. Absence of truncating BRIP1 mutations in chromosome 17q-linked hereditary prostate cancer families. Br J Cancer 2009; 101:2043-7. [PMID: 19935797 PMCID: PMC2795448 DOI: 10.1038/sj.bjc.6605433] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background: In a genome-wide scan (GWS) of 175 multiplex prostate cancer (PCa) families from the University of Michigan Prostate Cancer Genetics Project (PCGP), linkage was observed to markers on chromosome 17q21–24, a region that includes two breast cancer susceptibility genes, BRCA1 and BRIP1. BRIP1 is a Fanconi anaemia gene (FANCJ) that interacts with the BRCT domain of BRCA1 and has a role in DNA damage repair. Protein truncating mutations in BRIP1 have been identified in hereditary breast and ovarian cancer families, and a recent report suggested that a recurrent truncating mutation (R798X) may have a role in PCa susceptibility. Methods: We examined the role of BRIP1 mutations in hereditary PCa through sequence analysis of 94 individuals from PCGP families showing linkage to 17q. Results: A total of 24 single-nucleotide polymorphisms, including 7 missense variants but no protein truncating mutations, were observed. Conclusion: The data presented here suggest that BRIP1 truncating mutations are uncommon in PCa cases and do not account for the linkage to chromosome 17q observed in our GWS. Additional investigation is needed to determine the significance, if any, of the observed BRIP1 missense variants in hereditary PCa.
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Affiliation(s)
- A M Ray
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
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14
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Lange LA, Reiner AP, Carty CL, Jenny NS, Cushman M, Lange EM. Common genetic variants associated with plasma fibrin D-dimer concentration in older European- and African-American adults. J Thromb Haemost 2008; 6:654-9. [PMID: 18208536 DOI: 10.1111/j.1538-7836.2008.02906.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND OBJECTIVES D-dimer is a hemostasis marker that reflects ongoing fibrin formation and degradation. There is significant inter-individual and inter-population variability in D-dimer concentration, but whether genetic factors underlie these differences is largely unknown. We hypothesized that common coagulation gene variants contribute to differences in circulating D-dimer concentration. METHODS The setting was European-American (EA; n = 1858) and African-American (AA; n = 327) unrelated older adults from the Cardiovascular Health Study (CHS), in which we genotyped SNPs in 42 genes related to blood coagulation and fibrinolysis. RESULTS Several fibrinogen gene polymorphisms, including the Thr312Ala Aalpha chain variant and the FGG-10034 C/T variant, were associated with approximately 20% higher plasma D-dimer levels in EA (false discovery rate < 5% for covariate-adjusted model). There was also some evidence that a Pro41Leu variant of the PLAU gene encoding urinary plasminogen activator and non-coding polymorphism of the plasminogen activator inhibitor type 1 gene (SERPINE1) were associated with higher plasma D-dimer in EA. There were no significant associations between the studied coagulation or fibrinolysis gene SNPs and plasma D-dimer levels in the smaller AA sample. However, each standard deviation increase in European ancestry assessed by ancestry-informative gene markers was associated with approximately 10% lower mean D-dimer levels in AA. CONCLUSIONS Together, common coagulation/fibrinolysis gene SNPs explained only approximately 2% of the variance in plasma D-dimer levels in EA. These findings suggest that the association of D-dimer with risk of vascular outcomes may be mediated largely by environmental factors, other genes, and/or genetic interactions.
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Affiliation(s)
- L A Lange
- Department of Genetics and the Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.
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15
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White KA, Lange EM, Ray AM, Wojno KJ, Cooney KA. Prohibitin mutations are uncommon in prostate cancer families linked to chromosome 17q. Prostate Cancer Prostatic Dis 2006; 9:298-302. [PMID: 16733518 DOI: 10.1038/sj.pcan.4500878] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Linkage studies have provided evidence for a prostate cancer susceptibility locus on chromosome 17q. The mitochondrial protein prohibitin (PHB) is a plausible candidate gene based on its chromosomal location (17q21) and known function. METHODS All coding regions and intron/exon junctions of the PHB gene were sequenced in 32 men from families participating in the University of Michigan Prostate Cancer Genetics Project that demonstrated evidence of linkage to 17q markers. RESULTS Although a number of nucleotide variants were identified, no coding region substitutions were identified in any of the 32 men with prostate cancer from 32 unrelated multiplex prostate cancer families. CONCLUSIONS PHB mutations do not appear to account for the linkage signal on 17q21-22 detected in PCGP families. Fine mapping of this region is in progress to refine the candidate region and highlight additional candidate prostate cancer susceptibility genes for sequence analysis.
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Affiliation(s)
- K A White
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109-0946, USA
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16
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Li T, Lange LA, Li X, Susswein L, Bryant B, Malone R, Lange EM, Huang TY, Stafford DW, Evans JP. Polymorphisms in the VKORC1 gene are strongly associated with warfarin dosage requirements in patients receiving anticoagulation. J Med Genet 2006; 43:740-4. [PMID: 16611750 PMCID: PMC2564574 DOI: 10.1136/jmg.2005.040410] [Citation(s) in RCA: 70] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND Warfarin is a mainstay of therapy for conditions associated with an increased risk of thromboembolic events. However, the use of this common agent is fraught with complications and little is known regarding inter-individual variation in warfarin response. OBJECTIVE We tested for association between single nucleotide polymorphisms (SNPs) in VKORC1 and CYP2C9 and average weekly warfarin dose required to maintain patients at their desired anticoagulation target. METHODS The sample consisted of 93 European-American patients from anticoagulation clinics at the University of North Carolina at Chapel Hill. Data on mean weekly warfarin dose were collected over a mean treatment period of 20.6 months. ANCOVA models were used and haplotype analysis was performed. RESULTS Three of six VKORC1 SNPs were found to be very strongly associated with the average warfarin dose required to achieve the target international normalised ratio (INR; p<0.0001). The mean weekly dose by genotype ranged from approximately 27 to 47 mg. There was no evidence for an association between either of the two CYP2C9 polymorphisms studied, CYP2C9*2 and CYP2C9*3. CYP2C9*3 was significantly (p = 0.05) associated with average warfarin dosage after adjustment for VKORC1*1173. CONCLUSIONS These results are of considerable clinical interest and confirm recently published results regarding the role of these two genes in modifying warfarin metabolism and maintenance dosage. The consistent findings regarding the role of VKORC1 and CYP2C9 in warfarin metabolism and maintenance dosage represent a clinically useful proof of principal for the use of pharmacogenomic information in medicine and may lead to improved understanding of warfarin's actions.
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Affiliation(s)
- T Li
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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17
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Beebe-Dimmer JL, Lange LA, Cain JE, Lewis RC, Ray AM, Sarma AV, Lange EM, Cooney KA. Polymorphisms in the prostate-specific antigen gene promoter do not predict serum prostate-specific antigen levels in African-American men. Prostate Cancer Prostatic Dis 2005; 9:50-5. [PMID: 16247489 DOI: 10.1038/sj.pcan.4500840] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
A major problem with the use of serum prostate-specific antigen (PSA) in predicting prostate cancer risk is the considerable variability of such measurements. Cramer et al. identified a set of single-nucleotide polymorphisms (SNPs) in the upstream regulatory region of the PSA gene that were each associated with increased promoter activity and serum PSA, further suggesting that genotyping these SNPs could be useful in improving the predictive value of PSA screening. In order to replicate this finding, DNA samples from 475 African-American men were genotyped for the same SNPs and no association was observed with either serum PSA level or prostate cancer diagnosis.
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Affiliation(s)
- J L Beebe-Dimmer
- Department of Urology, University of Michigan Medical School, Ann Arbor MI, USA.
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18
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Szalai AJ, Wu J, Lange EM, McCrory MA, Langefeld CD, Williams A, Zakharkin SO, George V, Allison DB, Cooper GS, Xie F, Fan Z, Edberg JC, Kimberly RP. Single-nucleotide polymorphisms in the C-reactive protein (CRP) gene promoter that affect transcription factor binding, alter transcriptional activity, and associate with differences in baseline serum CRP level. J Mol Med (Berl) 2005; 83:440-7. [PMID: 15778807 DOI: 10.1007/s00109-005-0658-0] [Citation(s) in RCA: 119] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2004] [Accepted: 02/14/2005] [Indexed: 01/28/2023]
Abstract
To investigate whether functional polymorphisms exist in the C-reactive protein (CRP) gene, i.e., ones that contribute directly to differences in baseline CRP among individuals, we sequenced a 1,156-nucleotide-long stretch of the CRP gene promoter in 287 ostensibly healthy people. We identified two single-nucleotide polymorphisms (SNPs), a bi-allelic one at nucleotide -409 (G-->A), and a tri-allelic one at -390 (C-->T-->A), both resident within the hexameric core of transcription factor binding E-box elements. Electrophoretic mobility shift assays confirmed that the SNP within the sequence (-412)CACGTG(-407) (E-box 1) modulates transcription factor binding, and that the one within (-394)CACTTG(-389) (E-box 2) supports transcription factor binding only when the -390 T allele is present. The commonest of four E-box 1/E-box 2 haplotypes (-409G/-390T) identified in the population supported highest promoter activity in luciferase reporter assays, and the rarest one (-409A/-390T) supported the least. Importantly, serum CRP in people with these haplotypes reproduced this rank order, i.e., people with the -409G/-390T haplotype had the highest baseline serum CRP (mean +/- SEM 10.9 +/- 2.25 microg/ml) and people with the -409A/-390T haplotype had the lowest (5.01 +/- 1.56 microg/ml). Furthermore, haplotype-associated differences in baseline CRP were not due to differences in age, sex, or race, and were still apparent in people with no history of smoking. At least two other SNPs in the CRP promoter lie within E-box elements (-198 C-->T, E-box 4, and -861 T-->C, E-box 3), indicating that not only is the quality of E-box sites in CRP a major determinant of baseline CRP level, but also that the number of E-boxes may be important. These data confirm that the CRP promoter does encode functional polymorphisms, which should be considered when baseline CRP is being used as an indicator of clinical outcome. Ultimately, development of genetic tests to screen for CRP expression variants could allow categorization of healthy people into groups at high versus low future risk of inflammatory disease.
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Affiliation(s)
- A J Szalai
- Department of Medicine, Division of Clinical Immunology and Rheumatology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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19
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Brown WM, Lange EM, Chen H, Zheng SL, Chang B, Wiley KE, Isaacs SD, Walsh PC, Isaacs WB, Xu J, Cooney KA. Hereditary prostate cancer in African American families: linkage analysis using markers that map to five candidate susceptibility loci. Br J Cancer 2004; 90:510-4. [PMID: 14735201 PMCID: PMC2410149 DOI: 10.1038/sj.bjc.6601417] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
African American men have the highest incidence of prostate cancer in the world. Despite this statistic, linkage studies designed to localise prostate cancer susceptibility alleles have included primarily men of Caucasian descent. In this report, we performed a linkage analysis using 33 African American prostate cancer families from two independent research groups. In total, 126 individuals (including 89 men with prostate cancer) were genotyped using markers that map to five prostate cancer susceptibility loci, namely HPC1 at 1q24–25, PCAP at 1q42.2–43, CAPB at 1p36, HPC20 on chromosome 20, and HPCX at Xq27–28. Multipoint mode-of-inheritance-free linkage analyses were performed using the GENEHUNTER software. Some evidence of prostate cancer was detected to HPC1 using all families with a maximum NPL Z score of 1.12 near marker D1S413 (P=0.13). Increased evidence of linkage was observed in the 24 families with prostate cancer diagnosis prior to age 65 years and in the 20 families with male-to-male transmission. Some evidence of prostate cancer linkage was also detected at markers mapping to PCAP, HPC20, and HPCX. Continued collection and analysis of African American prostate cancer families will lead to an improved understanding of inherited susceptibility in this high-risk group.
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Affiliation(s)
- W M Brown
- Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - E M Lange
- Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - H Chen
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Ann Arbor Department of Veteran's Affairs, Ann Arbor, MI 48109, USA
| | - S L Zheng
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - B Chang
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - K E Wiley
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - S D Isaacs
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - P C Walsh
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - W B Isaacs
- Brady Urological Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA
| | - J Xu
- Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
- Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - K A Cooney
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Ann Arbor Department of Veteran's Affairs, Ann Arbor, MI 48109, USA
- 7310 CCGC, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0946, USA. E-mail:
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21
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Davis CC, Brown WM, Lange EM, Rich SS, Langefeld CD. Nonparametric linkage regression. II: Identification of influential pedigrees in tests for linkage. Genet Epidemiol 2002; 21 Suppl 1:S123-9. [PMID: 11793654 DOI: 10.1002/gepi.2001.21.s1.s123] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
We applied case-deletion-based diagnostics to the combined Caucasian genome scan data for asthma and IgE from the Collaborative Study on the Genetics of Asthma (CSGA) and German family studies in order to identify influential pedigrees in tests for linkage. These methods identified 12 pedigrees whose data appear not to fit the asthma linkage model and for whom alternative genetic and nongenetic explanations can be explored. The methods also identified four pedigrees for chromosome 1 and two pedigrees for chromosome 2 that provide strong evidence for linkage at their respective loci. Similarly, these methods helped identify four pedigrees that strongly influenced the linkage tests for IgE. From these data, we can construct an enriched subset of pedigrees to be used in further analysis for mapping region-specific putative trait predisposing loci.
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Affiliation(s)
- C C Davis
- Section on Biostatistics, Department of Public Health Sciences, Wake Forest Univ. School of Medicine, Med. Ctr. Blvd., Winston-Salem, NC 27157-1063, USA
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Mohlke KL, Lange EM, Valle TT, Ghosh S, Magnuson VL, Silander K, Watanabe RM, Chines PS, Bergman RN, Tuomilehto J, Collins FS, Boehnke M. Linkage disequilibrium between microsatellite markers extends beyond 1 cM on chromosome 20 in Finns. Genome Res 2001; 11:1221-6. [PMID: 11435404 PMCID: PMC311096 DOI: 10.1101/gr.173201] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Linkage disequilibrium (LD) is a proven tool for evaluating population structure and localizing genes for monogenic disorders. LD-based methods may also help localize genes for complex traits. We evaluated marker-marker LD using 43 microsatellite markers spanning chromosome 20 with an average density of 2.3 cM. We studied 837 individuals affected with type 2 diabetes and 386 mostly unaffected spouse controls. A test of homogeneity between the affected individuals and their spouses showed no difference, allowing the 1223 individuals to be analyzed together. Significant (P < 0.01) LD was observed using a likelihood ratio test in all (11/11) marker pairs within 1 cM, 78% (25/32) of pairs 1-3 cM apart, and 39% (7/18) of pairs 3-4 cM apart, but for only 12 of 842 pairs more than 4 cM apart. We used the human genome project working draft sequence to estimate kilobase (kb) intermarker distances, and observed highly significant LD (P < 10(-10)) for all six marker pairs up to 350 kb apart, although the correlation of LD with cM is slightly better than the correlation with megabases. These data suggest that microsatellites present at 1-cM density are sufficient to observe marker-marker LD in the Finnish population.
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Affiliation(s)
- K L Mohlke
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, Maryland 20892, USA
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Bock CH, Cunningham JM, McDonnell SK, Schaid DJ, Peterson BJ, Pavlic RJ, Schroeder JJ, Klein J, French AJ, Marks A, Thibodeau SN, Lange EM, Cooney KA. Analysis of the prostate cancer-susceptibility locus HPC20 in 172 families affected by prostate cancer. Am J Hum Genet 2001; 68:795-801. [PMID: 11179028 PMCID: PMC1274493 DOI: 10.1086/318797] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2001] [Accepted: 01/17/2001] [Indexed: 11/03/2022] Open
Abstract
A recent study of hereditary prostate cancer has provided evidence for a prostate cancer-susceptibility locus, HPC20, which maps to 20q13. To assess further the potential contribution of this locus to prostate cancer susceptibility, we studied 172 unrelated families affected by prostate cancer, using 17 polymorphic markers across a 98.5-cM segment of chromosome 20 that contains the candidate region. Parametric analysis, allowing for heterogeneity, resulted in an overall HLOD score of 0.09 (P=.39) at D20S171, under the assumption of linkage in 6% of families. Mode-of-inheritance-free analysis of the entire data set resulted in a maximal Zlr score of 0.76 (LOD 0.13; P=.22) at the same location. The strongest evidence for linkage was seen in the subset of 16 black families (LOD 0.86; Zlr=1.99; P=.023) between markers D20S893 and D20S120, near the putative location of HPC20. Although some positive results were observed, our linkage study does not provide statistically significant support for the existence of a prostate cancer-susceptibility locus HPC20 at 20q13.
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Affiliation(s)
- C H Bock
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
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Lange EM, Chen H, Brierley K, Livermore H, Wojno KJ, Langefeld CD, Lange K, Cooney KA. The polymorphic exon 1 androgen receptor CAG repeat in men with a potential inherited predisposition to prostate cancer. Cancer Epidemiol Biomarkers Prev 2000; 9:439-42. [PMID: 10794490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
Abstract
Recent studies have provided epidemiological evidence in support of a possible prostate cancer susceptibility locus on the X chromosome. The androgen receptor (AR) gene, located at Xq11-12, has been implicated as a risk factor for the development of prostate cancer. To examine the potential role of the AR locus in prostate cancer susceptibility, the AR CAG repeat length was measured in 270 Caucasian men with prostate cancer from 133 unrelated families. Each of these families has two or more confirmed cases of prostate cancer occurring in first- and/or second-degree relatives. No evidence for linkage of the AR gene to prostate cancer was observed. We tested for the previously reported association of short CAG alleles with prostate cancer using t tests, Pearson's chi2 tests, and logistic regression; analyses were subsequently repeated to incorporate only men with moderate- to high-grade prostate cancer. No association between AR CAG allele length and prostate cancer was detected when either a subset of unrelated patients or a subset of unrelated patients with moderate- to high-grade cancer was compared with a set of unrelated controls. We failed to detect an association between short AR CAG alleles and early age of prostate cancer diagnosis. Once specific hereditary prostate cancer genes have been identified, future studies can more carefully delineate the potential role of this AR polymorphism as a modifier locus in high-risk families.
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Affiliation(s)
- E M Lange
- Department of Biostatistics, University of Michigan, Ann Arbor 48105, USA
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25
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Lange EM, Chen H, Brierley K, Perrone EE, Bock CH, Gillanders E, Ray ME, Cooney KA. Linkage analysis of 153 prostate cancer families over a 30-cM region containing the putative susceptibility locus HPCX. Clin Cancer Res 1999; 5:4013-20. [PMID: 10632333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Several genetic epidemiological studies have provided data to support the hypothesis that there are genes on the X chromosome that may contribute to prostate cancer susceptibility. A recent linkage study of 360 prostate cancer families described evidence for a prostate cancer predisposition gene, termed HPCX, which maps to Xq27-28. To confirm the potential contribution of this locus to prostate cancer susceptibility in an independent dataset, we studied 153 unrelated families who are participants in the University of Michigan Prostate Cancer Genetics Project. Families selected for this analysis have at least two living family members with prostate cancer that are related in a way that they could potentially share a common ancestral copy of an X chromosome. DNA samples were genotyped using a panel of seven polymorphic markers spanning 30 cM and containing the HPCX candidate region. The resulting data were analyzed using both nonparametric and parametric linkage methods. Analysis of all 153 families using multipoint non-parametric linkage (NPL) methods resulted in positive NPL Z-scores across the entire candidate interval (NPL Z-scores of 0.23-1.06, with corresponding one-sided Ps of 0.41 and 0.15, respectively). The 11 African-American families had negative NPL Z-scores across the same 30-cM interval. Analysis of the 140 Caucasian families produced a maximal NPL Z-score of 1.20, with a corresponding one-sided P of 0.12 at marker DXS1113. The subset of families with no evidence of male-to-male disease transmission and with early-onset prostate cancer (average age at diagnosis within a family < or = 65 years) contributed disproportionately to the evidence for linkage for the entire dataset in the HPCX candidate region (near marker DXS1113). In conclusion, this study of 153 families, each with two or more living members with prostate cancer, provides some additional support for the existence of a prostate cancer susceptibility gene at Xq27-28.
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Affiliation(s)
- E M Lange
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor 48109, USA
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26
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Nair RP, Guo SW, Jenisch S, Henseler T, Lange EM, Terhune M, Westphal E, Christophers E, Voorhees JJ, Elder JT. Scanning chromosome 17 for psoriasis susceptibility: lack of evidence for a distal 17q locus. Hum Hered 1995; 45:219-30. [PMID: 7558055 DOI: 10.1159/000154293] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Evidence for a genetically heterogeneous psoriasis susceptibility locus on distal human chromosome 17q has recently been reported [Science 1994;264:1141]. Making use of an independently ascertained collection of 24 multiplex psoriasis kindreds, we have performed a genotyping scan of chromosome 17 using 12 microsatellite markers and analyzed the data using parametric (lod score) as well as novel nonparametric methods. Pairwise lod scores revealed no evidence for linkage to the previously implicated marker D17S784 under any of eight models varying in mode of inheritance, penetrance, and sporadic cases. Homogeneous linkage to D17S784 could be excluded under all four autosomal dominant models tested (Z < - 5.8 at theta = 0.05), and there was no evidence for genetic heterogeneity. All other chromosome 17 markers tested also failed to detect evidence for linkage in any of the kindreds under either a dominant or a recessive model. Although further analysis using affected sib pair methods provided no statistically significant evidence for linkage to any chromosome 17 marker, a cluster of three distal 17q loci displayed a trend towards greater than expected allele-sharing values (observed/expected = 1.10-1.14). These results do not formally confirm the existence of a psoriasis susceptibility locus on the distal long arm of human chromosome 17, but are suggestive of its possible involvement under a polygenic model, warranting its further investigation in familial psoriasis.
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Affiliation(s)
- R P Nair
- Department of Dermatology, School of Medicine, University of Michigan, Ann Arbor, USA
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