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Gastelum Guerrero C, Cháidez Fernández YL, Magaña Ordorica D, Berger H, Vazquez Landrove M, Guadrón Llanos A, Angulo Rojo C, Magaña Gómez J. A systematic review and meta-analysis of serum lipid concentrations in people with Down syndrome. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2024; 68:553-563. [PMID: 38404114 DOI: 10.1111/jir.13128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/24/2024] [Accepted: 01/31/2024] [Indexed: 02/27/2024]
Abstract
BACKGROUND Down syndrome (DS) is the most prevalent chromosomal disorder, being the leading cause of intellectual disability. The increased life expectancy of individuals with DS has led to a shift in the incidence of non-communicable chronic diseases, resulting in new concerns, particularly cardiovascular disease (CVD) and Alzheimer's disease. This study aimed to analyse the blood lipid profile of a large DS cohort to establish a baseline for evaluating health risk parameters. METHODS A comprehensive literature search was conducted on PubMed and Virtual Health Library databases to identify original articles published before July 2022. Selected studies were included in the meta-analysis. RESULTS Fifteen studies reporting serum lipid levels in individuals with DS were incorporated into the analysis. The meta-analysis used the means and standard deviations extracted from the selected studies. The analysis encompassed 671 participants in the DS group and 898 euploid controls. The results indicated significant differences in total cholesterol [C] (mean difference [MD]: -3.34; CI: 95%: -4.94 to -1.73; P < 0.0001), HDL-C (MD: -3.39; CI: 95%: -6.72 to -0.06; P = 0.05) and triglycerides (MD: 21.48; CI: 95%: 9.32 to 33.65; P = 0.0005) levels between individuals with DS and their control counterparts. CONCLUSIONS Individuals with DS have less favourable blood lipid concentrations than their controls, particularly HDL-C, triglycerides, and total-C, even when grouped by age. These findings underscore the importance of closer monitoring of lipid profiles in people with DS and the necessity for specific cut-offs for this population, considering the risk for ischemic heart and Alzheimer's diseases.
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Affiliation(s)
| | | | - Dalia Magaña Ordorica
- Facultad de Ciencias de la Nutrición y Gastronomía, Universidad Autónoma de Sinaloa, Culiacán, Mexico
| | - Heidi Berger
- Department of Mathematics, Simpson College, Indianola, Iowa, USA
| | | | | | - Carla Angulo Rojo
- Facultad de Medicina, Universidad Autónoma de Sinaloa, Culiacán, Mexico
| | - Javier Magaña Gómez
- Facultad de Ciencias de la Nutrición y Gastronomía, Universidad Autónoma de Sinaloa, Culiacán, Mexico
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Anand NS, Zemel BS, Pipan M, Kelly A, Magge SN. Diet Quality and Cardiometabolic Risk Factors in Adolescents with Down Syndrome. J Acad Nutr Diet 2023; 123:253-262. [PMID: 35940494 DOI: 10.1016/j.jand.2022.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 07/27/2022] [Accepted: 07/29/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND Youth with Down syndrome (DS) have a high prevalence of obesity and dyslipidemia. Diet quality may influence cardiometabolic risk (CMR) in youth. OBJECTIVE The aim of this secondary analysis was to investigate the relationship between diet quality (Healthy Eating Index [HEI-2015]) with CMR factors in youth with DS compared with age, sex, race, ethnicity, and body mass index percentile matched, typically developing controls. DESIGN Adolescents (aged 10 to 20 years) with DS and controls of comparable age, sex, race, ethnicity, and body mass index percentile were recruited from 2012 to 2017 for a cross-sectional study from two large children's hospitals (Children's Hospital of Philadelphia and the Children's National Health System in Washington, DC). PARTICIPANTS AND SETTING CMRs in 143 adolescents with DS were compared with 100 controls. Exclusion criteria consisted of major organ-system illnesses. MAIN OUTCOME MEASURES The average of three 24-hour dietary recalls was used to calculate the HEI-2015. Anthropometrics, blood pressure, and fasting labs were collected. STATISTICAL ANALYSES PERFORMED Group differences were tested using Wilcoxon rank-sum tests. Relationships of CMR factors with HEI-2015 score within DS and controls were tested using linear regression models adjusted for sex, age, race, and body mass index z score. RESULTS Compared with controls (n = 100, median age = 14.8 years [interquartile range = 12.2 to 17.3 years]; 41% male; 24% African American; 65% with body mass index ≥85th percentile), adolescents with DS (n = 143, median age = 14.7 years [interquartile range = 11.4 to 17.4 years]; 44% male; 18% African American; 62% with body mass index ≥85th percentile) had higher scores (more aligned with dietary recommendations) for total HEI-2015 (DS: 52.7 [interquartile range = 46.8 to 58.6] vs controls: 45.1 [interquartile range = 39.5 to 55.0]; P < 0.0001). Youth with DS also had higher HEI-2015 component scores for fruits, greens/beans, dairy, refined grains, and saturated fats, but lower whole grains and sodium scores. Within the group with DS, total HEI-2015 was not significantly associated with CMR measures. Whereas HEI-2015 in the DS group was negatively associated with fasting glucose levels, the difference did not meet the set level of statistical significance (-0.14, 95% CI -0.29 to 0.00; P = 0.053). CONCLUSIONS Adolescents in both the control and DS groups reported low-quality diets, although the DS group had HEI-2015 scores more closely aligned with recommendations. In the DS group, diet quality was not significantly associated with CMR factors. Although further research is needed, these results suggest that dyslipidemia in youth with DS may not be related to dietary intake.
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Affiliation(s)
- Neha S Anand
- Boston Combined Residency Program, Boston Children's Hospital & Boston Medical Center, Boston, Massachusetts.
| | - Babette S Zemel
- Division of Gastroenterology, Hepatology, and Nutrition, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Mary Pipan
- Trisomy 21 Program, Division of Developmental Behavioral Pediatrics, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Andrea Kelly
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Sheela N Magge
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Johns Hopkins University School of Medicine, Baltimore, Maryland
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Ganel L, Chen L, Christ R, Vangipurapu J, Young E, Das I, Kanchi K, Larson D, Regier A, Abel H, Kang CJ, Scott A, Havulinna A, Chiang CWK, Service S, Freimer N, Palotie A, Ripatti S, Kuusisto J, Boehnke M, Laakso M, Locke A, Stitziel NO, Hall IM. Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences. Hum Genomics 2021; 15:34. [PMID: 34099068 PMCID: PMC8185936 DOI: 10.1186/s40246-021-00335-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 05/26/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Mitochondrial genome copy number (MT-CN) varies among humans and across tissues and is highly heritable, but its causes and consequences are not well understood. When measured by bulk DNA sequencing in blood, MT-CN may reflect a combination of the number of mitochondria per cell and cell-type composition. Here, we studied MT-CN variation in blood-derived DNA from 19184 Finnish individuals using a combination of genome (N = 4163) and exome sequencing (N = 19034) data as well as imputed genotypes (N = 17718). RESULTS We identified two loci significantly associated with MT-CN variation: a common variant at the MYB-HBS1L locus (P = 1.6 × 10-8), which has previously been associated with numerous hematological parameters; and a burden of rare variants in the TMBIM1 gene (P = 3.0 × 10-8), which has been reported to protect against non-alcoholic fatty liver disease. We also found that MT-CN is strongly associated with insulin levels (P = 2.0 × 10-21) and other metabolic syndrome (metS)-related traits. Using a Mendelian randomization framework, we show evidence that MT-CN measured in blood is causally related to insulin levels. We then applied an MT-CN polygenic risk score (PRS) derived from Finnish data to the UK Biobank, where the association between the PRS and metS traits was replicated. Adjusting for cell counts largely eliminated these signals, suggesting that MT-CN affects metS via cell-type composition. CONCLUSION These results suggest that measurements of MT-CN in blood-derived DNA partially reflect differences in cell-type composition and that these differences are causally linked to insulin and related traits.
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Affiliation(s)
- Liron Ganel
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Lei Chen
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Ryan Christ
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Jagadish Vangipurapu
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Erica Young
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA
| | - Indraniel Das
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Krishna Kanchi
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - David Larson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Allison Regier
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Haley Abel
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Chul Joo Kang
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexandra Scott
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Aki Havulinna
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Quantitative and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Susan Service
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Nelson Freimer
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytical and Translational Genetics Unit (ATGU), Psychiatric & Neurodevelopmental Genetics Unit, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Adam Locke
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Nathan O Stitziel
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
| | - Ira M Hall
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
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Taghizadeh E, Mardani R, Rostami D, Taghizadeh H, Bazireh H, Hayat SMG. Molecular mechanisms, prevalence, and molecular methods for familial combined hyperlipidemia disease: A review. J Cell Biochem 2018; 120:8891-8898. [DOI: 10.1002/jcb.28311] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 11/28/2018] [Indexed: 11/05/2022]
Affiliation(s)
- Eskandar Taghizadeh
- Department of Medical Genetics Faculty of Medicine, Mashhad University of Medical Sciences Mashhad Iran
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences Yasuj Iran
| | - Rajab Mardani
- Department of Biochemistry Pasteur Institute of Iran Tehran Iran
| | - Daryoush Rostami
- Department of School Allied Zabol University of Medical Sciences Zabol Iran
| | - Hassan Taghizadeh
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences Yasuj Iran
| | - Homa Bazireh
- Department of Industrial and Environmental Biotechnology National Institute of Genetic Engineering and Biotechnology Tehran Iran
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Liu Y, Xu J, Tao W, Yu R, Zhang X. A Compound Heterozygous Mutation of Lipase Maturation Factor 1 is Responsible for Hypertriglyceridemia of a Patient. J Atheroscler Thromb 2018; 26:136-144. [PMID: 29910226 PMCID: PMC6365152 DOI: 10.5551/jat.44537] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
AIM Dyslipidemia is the most common lipid metabolism disorder in humans, and its etiology remains elusive. Hypertriglyceridemia (HTG) is a type of dyslipidemia that contributes to atherosclerosis and coronary heart disease. Previous studies have demonstrated that mutations in lipoprotein lipase (LPL), apolipoprotein CII (APOC2), apolipoprotein AV (APOA5), glycosylphosphatidylinositol anchored high-density lipoprotein-binding protein 1 (GPIHBP1), lipase maturation factor 1(LMF1), and glycerol-3 phosphate dehydrogenase 1 (GPD1) are responsible for HTG by using genomic microarrays and next-generation sequencing. The aim of this study was to identify genetic lesions in patients with HTG. METHOD Our study included a family of seven members from Jiangsu province across three generations. The proband was diagnosed with severe HTG, with a plasma triglyceride level of 38.70 mmol/L. Polymerase chain reaction (PCR) and Sanger sequencing were performed to explore the possible causative gene mutations for this patient. Furthermore, we measured the post-heparin LPL and hepatic lipase (HL) activities using an antiserum inhibition method. RESULTS A compound heterozygous mutation in the LMF1 gene (c.257C>T/p.P86L and c.1184C>T/p.T395I) was identified and co-segregated with the affected patient in this family. Both mutations were predicted to be deleterious by three bioinformatics programs (Polymorphism Phenotyping-2, Sorting Intolerant From Tolerant, and MutationTaster). The levels of the plasma post-heparin LPL and HL activities in the proband (57 and 177 mU/mL) were reduced to 24% and 75%, respectively, compared with those assayed in the control subject with normal plasma triglycerides. CONCLUSION A compound heterozygous mutation of LMF1 was identified in the presenting patient with severe HTG. These findings expand on the spectrum of LMF1 mutations and contribute to the genetic diagnosis and counseling of families with HTG.
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Affiliation(s)
- Yihui Liu
- Department of Neurology, Affiliated Hospital of Yangzhou University
| | - Jiang Xu
- Medical School of Yangzhou University
| | - Wanyun Tao
- Department of Biochemistry, School of Medicine, Case Western Reserve University
| | - Rong Yu
- Department of Anesthesiology, the Second XiangYa Hospital, Central South University
| | - Xinjiang Zhang
- Department of Neurology, Affiliated Hospital of Yangzhou University.,Medical School of Yangzhou University
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Wang WC, Chiu YF, Chung RH, Hwu CM, Lee IT, Lee CH, Chang YC, Hung KY, Quertermous T, Chen YDI, Hsiung CA. IGF1 Gene Is Associated With Triglyceride Levels In Subjects With Family History Of Hypertension From The SAPPHIRe And TWB Projects. Int J Med Sci 2018; 15:1035-1042. [PMID: 30013445 PMCID: PMC6036157 DOI: 10.7150/ijms.25742] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 05/14/2018] [Indexed: 12/22/2022] Open
Abstract
Chromosome 12q23-q24 has been linked to triglyceride (TG) levels by previous linkage studies, and it contains the Insulin-like growth factor 1 (IGF1) gene. We investigated the association between IGF1 and TG levels using two independent samples collected in Taiwan. First, based on 954 siblings in 397 families from the Stanford Asian Pacific Program in Hypertension and Insulin Resistance (SAPPHIRe), we found that rs978458 was associated with TG levels (β = -0.049, p = 0.0043) under a recessive genetic model. Specifically, subjects carrying the homozygous genotype of the minor allele had lower TG levels, compared with other subjects. Then, a series of stratification analyses in a large sample of 13,193 unrelated subjects from the Taiwan biobank (TWB) project showed that this association appeared in subjects with a family history (FH) of hypertension (β = -0.045, p = 0.0000034), but not in subjects without such an FH. A re-examination of the SAPPHIRe sample confirmed that this association appeared in subjects with an FH of hypertension (β = -0.068, p = 0.0025), but not in subjects without an FH. The successful replication in two independent samples indicated that IGF1 is associated with TG levels in subjects with an FH of hypertension in Taiwan.
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Affiliation(s)
- Wen-Chang Wang
- The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.,Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan
| | - Yen-Feng Chiu
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan
| | - Ren-Hua Chung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Faculty of Medicine, National Yang-Ming University School of medicine, Taipei, Taiwan
| | - I-Te Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.,School of Medicine, Chung Shan Medical University, Taichung, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chien-Hsing Lee
- Division of Endocrine and Metabolism, Tri-Service General Hospital, Taipei, Taiwan.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Yi-Cheng Chang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Institute of Biomedical Science, Academia Sinica, Taipei, Taiwan
| | - Kuan-Yi Hung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan
| | - Thomas Quertermous
- Division of Cardiovascular Medicine, Falk Cardiovascular Research Building, Stanford University School of Medicine, Stanford, CA, USA
| | - Yii-Der I Chen
- Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Chao A Hsiung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan
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Abstract
PURPOSE OF REVIEW Detection of high-impact variants on lipid traits is complicated by complex genetic architecture. Although genome-wide association studies (GWAS) successfully identified many novel genes associated with lipid traits, it was less successful in identifying variants with a large impact on the phenotype. This is not unexpected, as the more common variants detectable by GWAS typically have small effects. The availability of large familial datasets and sequence data has changed the paradigm for successful genomic discovery of the novel genes and pathogenic variants underlying lipid disorders. RECENT FINDINGS Novel loci with large effects have been successfully mapped in families, and next-generation sequencing allowed for the identification of the underlying lipid-associated variants of large effect size. The success of this strategy relies on the simplification of the underlying genetic variation by focusing on large single families segregating extreme lipid phenotypes. SUMMARY Rare, high-impact variants are expected to have large effects and be more relevant for medical and pharmaceutical applications. Family data have many advantages over population-based data because they allow for the efficient detection of high-impact variants with an exponentially smaller sample size and increased power for follow-up studies.
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Affiliation(s)
- Elisabeth Rosenthal
- Department of Medicine (Medical Genetics), University of Washington, Seattle, Seattle, Washington, USA
| | - Elizabeth Blue
- Department of Medicine (Medical Genetics), University of Washington, Seattle, Seattle, Washington, USA
| | - Gail P. Jarvik
- Department of Medicine (Medical Genetics), University of Washington, Seattle, Seattle, Washington, USA
- Department of Genome Sciences, University of Washington, Seattle, Seattle, Washington, USA
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8
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Gertz EM, Hiekkalinna T, Digabel SL, Audet C, Terwilliger JD, Schäffer AA. PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD. BMC Bioinformatics 2014; 15:47. [PMID: 24533837 PMCID: PMC3932042 DOI: 10.1186/1471-2105-15-47] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2013] [Accepted: 02/12/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND PSEUDOMARKER is a software package that performs joint linkage and linkage disequilibrium analysis between a marker and a putative disease locus. A key feature of PSEUDOMARKER is that it can combine case-controls and pedigrees of varying structure into a single unified analysis. Thus it maximizes the full likelihood of the data over marker allele frequencies or conditional allele frequencies on disease and recombination fraction. RESULTS The new version 2.0 uses the software package NOMAD to maximize likelihoods, resulting in generally comparable or better optima with many fewer evaluations of the likelihood functions. CONCLUSIONS After being modified substantially to use modern optimization methods, PSEUDOMARKER version 2.0 is more robust and substantially faster than version 1.0. NOMAD may be useful in other bioinformatics problems where complex likelihood functions are optimized.
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Tanaka Y, Nagao K, Nakagiri H, Nagaso T, Iwasa Y, Mori H, Asahina M, Imaizumi K, Sato M. Unavailability of liver triacylglycerol increases serum cholesterol concentration induced by dietary cholesterol in exogenously hypercholesterolemic (ExHC) rats. Lipids Health Dis 2014; 13:19. [PMID: 24450544 PMCID: PMC3902423 DOI: 10.1186/1476-511x-13-19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2013] [Accepted: 01/14/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Exogenously hypercholesterolemic (ExHC) rats develop hypercholesterolemia and low hepatic triacylglycerol (TAG) levels when dietary cholesterol is loaded. The responsible gene Smek2 was identified via linkage analysis using the original strain Sprague-Dawley (SD) rats. In this study, we compared SD and ExHC rats to investigate a relationship between hypercholesterolemia and the low hepatic TAG levels observed in ExHC rats. METHODS Male 4-weeks-old ExHC and SD rats were fed a 1% cholesterol diet for 1 week. Serum and liver parameters were analyzed. Gene expression and enzyme activities related to TAG metabolism were also assessed. RESULTS We reproducibly observed higher serum cholesterol and lower hepatic TAG levels in ExHC rats than in SD rats. Golgi apparatus in the livers of ExHC rats secreted β-very-low-density lipoprotein (β-VLDL) that had higher cholesterol ester (CE) and lower TAG content than those in the β-VLDL secreted by SD rats. Gene expression related to fatty acid and TAG synthesis in ExHC rats was lower than that in SD rats. Enzymatic activities for fatty acid synthesis were also relatively lower in ExHC rats. Moreover, the fatty acid composition of hepatic and serum CE in ExHC rats showed that these CEs were not modified after secretion from the liver despite the similar activities of serum lecithin-cholesterol acyltransferase (LCAT) in ExHC rats to those in SD rats. CONCLUSIONS Low production of liver TAG and secretion of CE-rich, TAG-poor β-VLDL without modification by LCAT in the circulation contributed to hypercholesterolemia induced by dietary cholesterol in ExHC rats.
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Affiliation(s)
- Yasutake Tanaka
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Koji Nagao
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Hideaki Nakagiri
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Toshirou Nagaso
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Yasue Iwasa
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Haruhiko Mori
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Makoto Asahina
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Katsumi Imaizumi
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
| | - Masao Sato
- Laboratory of Nutrition Chemistry, Division of Bioresource and Bioenvironmental Sciences, Graduate School, Kyushu University, 6-10-1 hakozaki, higashi-ku, Fukuoka 812-8581, Japan
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van der Kallen CJH, Voors-Pette C, de Bruin TWA. Abdominal Obesity and Expression of Familial Combined Hyperlipidemia. ACTA ACUST UNITED AC 2012; 12:2054-61. [PMID: 15687407 DOI: 10.1038/oby.2004.256] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To investigate the role of abdominal and body obesity on the prevalence of hyperlipidemia, in particular, hypertriglyceridemia, hypercholesterolemia, and high apolipoprotein B levels, in familial combined hyperlipidemia (FCHL) relatives and their spouses. RESEARCH METHODS AND PROCEDURES In FCHL relatives (n = 618) and spouses (n = 297), prevalence data of hyperlipidemia and high apolipoprotein B levels and their age and gender-corrected odds ratios (ORs) were calculated for sex-adjusted categories of waist-to-hip ratio (WHR), waist circumference, and BMI. RESULTS Increments of BMI, waist circumference, and WHR increased the frequency of hyperlipidemia. In the whole study population (relatives and spouses combined), frequency of hypertriglyceridemia showed a significant interaction only between WHR categories and FCHL. This was studied further after stratification of relatives by multivariable logistic regression analyses corrected for age and gender. Predominant expression of hypertriglyceridemia was observed with higher categories of WHR in FCHL relatives (prevalence up to 57.6%, OR 8.48 in highest vs. lowest WHR category, p < 0.001) but not in spouses (up to 32.9%, OR 1.05 in highest vs. lowest WHR category, not significant). DISCUSSION Both in spouses and FCHL relatives, increments in BMI and waist circumference increased the prevalence of hyperlipidemia. Specifically, in FCHL relatives, WHR was the most informative determinant of the expression of hyperlipidemia, in particular, hypertriglyceridemia. The data indicate that FCHL develops against a background of abdominal obesity.
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Affiliation(s)
- Carla J H van der Kallen
- Department of Medicine, University Hospital Maastricht, and Cardiovascular Research Institute Maastricht, University of Maastricht, Maastricht, The Netherlands.
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Adelekan T, Magge S, Shults J, Stallings V, Stettler N. Lipid profiles of children with Down syndrome compared with their siblings. Pediatrics 2012; 129:e1382-7. [PMID: 22585768 PMCID: PMC3362900 DOI: 10.1542/peds.2011-1262] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Our objective was to compare serum lipid profiles, total cholesterol (TC), low-density lipoprotein (LDL), triglycerides (TG), and high-density lipoprotein (HDL) between children with Down syndrome (DS) and their non-DS siblings. We hypothesized that the children with DS would have higher TC, LDL, and TG and lower HDL. The secondary aim was to explore if the difference in lipid profiles could be explained by differences in weight status. METHODS This was a cross-sectional study. Fasting lipid profile was obtained from 27 children with DS and 31 siblings between 4 and 10 years of age with no severe comorbidities (heart disease, cancer, hypothyroidism, diabetes, or obesity). BMI was calculated and BMI z scores were used to account for differences in BMI throughout childhood. RESULTS Children with DS had higher TC (difference, 11.2 mg/dL; 95% confidence interval: 2.5-19.9; P = .01), LDL (12.8 mg/dL; 7.2-18.4; P < .001), TG (33.6 mg/dL; 11.1-56.1; P = .003), and lower HDL (-7.6 mg/dL; -12.1 to -3.0; P = .001) after adjustment for race, gender, age, and ethnicity. Results remained significant after additional adjustment for BMI z score: TC (14.9 mg/dL; 4.9-24.9; P = .003), LDL (16.6 mg/dL; 10.1-23.2; P < .001), TG (32.7 mg/dL; 7.7-57.7; P = .01), and lower HDL (-6.4 mg/dL; -12.2 to -0.7; P = .03). CONCLUSIONS Children with DS have less favorable lipid profiles than their siblings independent of weight status. These findings may have important implications for the screening and treatment of this large population at increased risk for ischemic heart disease.
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Affiliation(s)
- Tahira Adelekan
- Child Development, Rehabilitation and Metabolic Diseases, The Children's Hospital of Philadelphia, 3550 Market St, 3rd Floor, Philadelphia, PA 19104, USA.
| | - Sheela Magge
- Endocrinology and Diabetes, and,Department of Pediatrics
| | - Justine Shults
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania; and
| | - Virginia Stallings
- Gastroenterology, Hepatology and Nutrition, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania;,Department of Pediatrics
| | - Nicolas Stettler
- Gastroenterology, Hepatology and Nutrition, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania;,Department of Pediatrics,,Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania; and,Exponent, Inc, Menlo Park, California
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Weissglas-Volkov D, Plaisier CL, Huertas-Vazquez A, Cruz-Bautista I, Riaño-Barros D, Herrera-Hernandez M, Riba L, Cantor RM, Sinsheimer JS, Aguilar-Salinas CA, Tusie-Luna T, Pajukanta P. Identification of two common variants contributing to serum apolipoprotein B levels in Mexicans. Arterioscler Thromb Vasc Biol 2009; 30:353-9. [PMID: 19965785 DOI: 10.1161/atvbaha.109.196402] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE Although the Mexican population has a high predisposition to dyslipidemias and premature coronary artery disease, this population is underinvestigated for the genetic factors conferring the high susceptibility. This study attempted to determine these genetic factors. METHODS AND RESULTS First, we investigated apolipoprotein B (apoB) levels in Mexican extended families with familial combined hyperlipidemia using a two-step testing strategy. In the screening step, we screened 5721 single-nucleotide polymorphisms (SNPs) for linkage signals with apoB. In the test step, we analyzed the 130 SNPs residing in regions of suggestive linkage signals for association with apoB. We identified significant associations with two SNPs (ie, rs1424032 [P=6.07x10(-6)] and rs1349411 [P=2.72x10(-4)]) that surpassed the significance level for the number of tests performed in the test step (P<3.84x10(-4)). Second, these SNPs were tested for replication in Mexican hyperlipidemic case-control samples. The same risk alleles as in the families with familial combined hyperlipidemia were significantly associated (P<0.05) with apoB in the case-control samples. The rs1349411 resides near the apoB messenger RNA editing enzyme (APOBEC1) involved in the processing of APOB messenger RNA in the small intestine. The rs1424032 resides in a highly conserved noncoding region predicted to function as a regulatory element. CONCLUSIONS We identified two novel variants, rs1349411 and rs1424032, for serum apoB levels in Mexicans.
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Affiliation(s)
- Daphna Weissglas-Volkov
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, Calif 90095-7088, USA
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Genome scan for loci regulating HDL cholesterol levels in Finnish extended pedigrees with early coronary heart disease. Eur J Hum Genet 2009; 18:604-13. [PMID: 19935834 DOI: 10.1038/ejhg.2009.202] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Coronary heart disease (CHD) is the leading cause of mortality in Western societies. Its risk is inversely correlated with plasma high-density lipoprotein cholesterol (HDL-C) levels, and approximately 50% of the variability in these levels is genetically determined. In this study, the aim was to carry out a whole-genome scan for the loci regulating plasma HDL-C levels in 35 well-defined Finnish extended pedigrees (375 members genotyped) with probands having low HDL-C levels and premature CHD. The additive genetic heritability of HDL-C was 43%. A variance component analysis revealed four suggestive quantitative trait loci (QTLs) for HDL-C levels, with the highest LOD score, 3.1, at the chromosomal locus 4p12. Other suggestive LOD scores were 2.1 at 2q33, 2.1 at 6p24 and 2.0 at 17q25. Three suggestive loci for the qualitative low HDL-C trait were found, with a nonparametric multipoint score of 2.6 at the chromosomal locus 10p15.3, 2.5 at 22q11 and 2.1 at 6p12. After correction for statin use, the strongest evidence of linkage was shown on chromosomes 4p12, 6p24, 6p12, 15q22 and 22q11. To search for the underlying gene on chromosome 6, we analyzed two functional and positional candidate genes (peroxisome proliferator-activated receptor-delta (PPARD), and retinoid X receptor beta, (RXRB)), but found no significant evidence of association. In conclusion, we identified seven chromosomal regions for HDL-C regulation exceeding the level for suggestive evidence of linkage.
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van Himbergen TM, Otokozawa S, Matthan NR, Schaefer EJ, Buchsbaum A, Ai M, van Tits LJH, de Graaf J, Stalenhoef AFH. Familial combined hyperlipidemia is associated with alterations in the cholesterol synthesis pathway. Arterioscler Thromb Vasc Biol 2009; 30:113-20. [PMID: 19834104 DOI: 10.1161/atvbaha.109.196550] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Familial combined hyperlipidemia (FCH) is a common familial lipid disorder characterized by increases in plasma total cholesterol, triglyceride, and apolipoprotein B-100 levels. In light of prior metabolic and genetic research, our purpose was to ascertain whether FCH cases had significant abnormalities of plasma markers of cholesterol synthesis and absorption as compared to unaffected kindred members. METHODS AND RESULTS Plasma levels of squalene, desmosterol, and lathosterol (cholesterol synthesis markers) and campesterol, sitosterol, and cholestanol (cholesterol absorption markers) were measured by gas-liquid chromatography in 103 FCH patients and 240 normolipidemic relatives (NLR). Squalene, desmosterol, and lathosterol levels were 6% (0.078), 31%, (P<0.001) and 51% (P<0.001) higher in FCH as compared to NLR, and these differences were especially pronounced in women. An interaction with obesity was also noted for a subset of these markers. We did not observe any apparent differences for the cholesterol absorption markers among FCH patients and NLR. CONCLUSIONS Our data indicate that both men and women with FCH have alterations in the cholesterol synthesis pathway, resulting in 51% higher levels of lathosterol (and additionally desmosterol in women). Plasma levels of the cholesterol precursor sterol squalene were only slightly increased (6%), suggesting enhanced conversion of squalene to lathosterol in this disorder.
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Affiliation(s)
- Thomas M van Himbergen
- Lipid Metabolism Laboratory, Tufts University, 711 Washington Street, Boston, MA 02111-1524, USA.
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Huertas-Vazquez A, Plaisier CL, Geng R, Haas BE, Lee J, Greevenbroek MM, van der Kallen C, de Bruin TWA, Taskinen MR, Alagramam KN, Pajukanta P. A nonsynonymous SNP within PCDH15 is associated with lipid traits in familial combined hyperlipidemia. Hum Genet 2009; 127:83-9. [PMID: 19816713 PMCID: PMC2793376 DOI: 10.1007/s00439-009-0749-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2009] [Accepted: 09/21/2009] [Indexed: 12/20/2022]
Abstract
Familial combined hyperlipidemia (FCHL) is a common lipid disorder characterized by the presence of multiple lipoprotein phenotypes that increase the risk of premature coronary heart disease. In a previous study, we identified an intragenic microsatellite marker within the protocadherin 15 (PCDH15) gene to be associated with high triglycerides (TGs) in Finnish dyslipidemic families. In this study we analyzed all four known nonsynonymous SNPs within PCDH15 in 1,268 individuals from Finnish and Dutch multigenerational families with FCHL. Association analyses of quantitative traits for SNPs were performed using the QTDT test. The nonsynonymous SNP rs10825269 resulted in a P = 0.0006 for the quantitative TG trait. Additional evidence for association was observed with the same SNP for apolipoprotein B levels (apo-B) (P = 0.0001) and total cholesterol (TC) levels (P = 0.001). None of the other three SNPs tested showed a significant association with any lipid-related trait. We investigated the expression of PCDH15 in different human tissues and observed that PCDH15 is expressed in several tissues including liver and pancreas. In addition, we measured the plasma lipid levels in mice with loss-of-function mutations in Pcdh15 (Pcdh15(av-Tg) and Pcdh15(av-3J)) to investigate possible abnormalities in their lipid profile. We observed a significant difference in plasma TG and TC concentrations for the Pcdh15(av-3J) carriers when compared with the wild type (P = 0.013 and P = 0.044, respectively). Our study suggests that PCDH15 is associated with lipid abnormalities.
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Turner ST, Fornage M, Jack CR, Mosley TH, Knopman DS, Kardia SLR, Boerwinkle E, de Andrade M. Genomic susceptibility Loci for brain atrophy, ventricular volume, and leukoaraiosis in hypertensive sibships. ACTA ACUST UNITED AC 2009; 66:847-57. [PMID: 19597086 DOI: 10.1001/archneurol.2009.110] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To localize susceptibility genes for alterations in brain structure associated with risk of stroke and dementia. We conducted genomewide linkage analyses for magnetic resonance imaging (MRI) measures of brain atrophy, ventricular, and subcortical white matter hyperintensity (leukoaraiosis) in 689 non-Hispanic white (673 sibling pairs; median age, 61 years) and 544 non-Hispanic black participants (503 sibling pairs; median age, 64 years) from sibships with at least 2 members with essential hypertension. DESIGN, SETTING, AND PATIENTS We determined brain, ventricular, and leukoaraiosis volumes from axial fluid-attenuated inversion recovery MRI; we calculated brain atrophy as the difference between total intracranial and brain volumes. Microsatellite markers (n = 451) distributed across the 22 autosomes were genotyped, and we used variance components methods to estimate heritability and assess evidence of genetic linkage for each MRI measure. MAIN OUTCOME MEASURES Brain atrophy ventricular volume, and leukoaraiosis determined from fluid-attenuated inversion recovery MRI. RESULTS In both races, the heritability of each MRI measure was statistically greater than 0 (P < .001), ranging in magnitude from 0.42 (for ventricular volume in blacks) to 0.69 (for brain atrophy in blacks). Based on multipoint logarithm of odds scores (MLS), the strongest evidence of genetic linkage was observed for brain atrophy on chromosomes 1 (MLS, 3.49 at 161 cM; P < .001) and 17 (MLS, 3.08 at 18 cM; P < .001) in whites; for ventricular volume on chromosome 12 (MLS, 3.67 at 49 cM; P < .001) in blacks and chromosome 10 (MLS, 2.47 at 110 cM; P < .001) in whites; and for leukoaraiosis on chromosome 11 (MLS, 2.21 at 118 cM; P < .001) in whites and chromosome 22 (MLS, 2.02 at 36 cM; P = .001) in blacks. CONCLUSIONS The MRI measures of structural brain injury are heritable in non-Hispanic black and white sibships ascertained through hypertensive sibling pairs. The susceptibility loci for brain atrophy, ventricular volume, and leukoaraiosis identified by linkage analyses differ among MRI measures and between races.
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Affiliation(s)
- Stephen T Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota 55905, USA.
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Li X, Monda KL, Göring HHH, Haack K, Cole SA, Diego VP, Almasy L, Laston S, Howard BV, Shara NM, Lee ET, Best LG, Fabsitz RR, MacCluer JW, North KE. Genome-wide linkage scan for plasma high density lipoprotein cholesterol, apolipoprotein A-1 and triglyceride variation among American Indian populations: the Strong Heart Family Study. J Med Genet 2009; 46:472-9. [PMID: 19429595 DOI: 10.1136/jmg.2008.063891] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND Recent studies have identified chromosomal regions linked to variation in high density lipoprotein cholesterol (HDL-C), apolipoprotein A-1 (apo A-1) and triglyceride (TG), although results have been inconsistent and previous studies of American Indian populations are limited. OBJECTIVE In an attempt to localise quantitative trait loci (QTLs) influencing HDL-C, apo A-1 and TG, we conducted genome-wide linkage scans of subjects of the Strong Heart Family Study. METHODS We implemented analyses in 3484 men and women aged 18 years or older, at three study centres. RESULTS With adjustment for age, sex and centre, we detected a QTL influencing both HDL-C (logarithm of odds (LOD) = 4.4, genome-wide p = 0.001) and apo A-1 (LOD = 3.2, genome-wide p = 0.020) nearest marker D6S289 at 6p23 in the Arizona sample. Another QTL influencing apo A-1 was found nearest marker D9S287 at 9q22.2 (LOD = 3.0, genome-wide p = 0.033) in the North and South Dakotas. We detected a QTL influencing TG nearest marker D15S153 at 15q22.31 (LOD = 4.5 in the overall sample and LOD = 3.8 in the Dakotas sample, genome-wide p = 0.0044) and when additionally adjusted for waist, current smoking, current alcohol, current oestrogen, lipid treatment, impaired fasting glucose, and diabetes, nearest marker D10S217 at 10q26.2 (LOD = 3.7, genome-wide p = 0.0058) in the Arizona population. CONCLUSIONS The replication of QTLs in regions of the genome that harbour well known candidate genes suggest that chromosomes 6p, 9q and 15q warrant further investigation with fine mapping for causative polymorphisms in American Indians.
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Middelberg RP, Gordon SD, Zhu G, McRae A, Montgomery GW, Martin NG, Whitfield JB. Linkage and association analyses of longitudinally measured lipid phenotypes in adolescence. Twin Res Hum Genet 2009; 11:603-20. [PMID: 19016617 DOI: 10.1375/twin.11.6.603] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The genetic basis of cardiovascular disease (CVD) is complex and still largely elusive. Plasma lipid concentrations are well-established risk factors for cardiovascular disease (CVD), and have adult heritabilities ranging from 0.48 to 0.87. Estimates for adolescents are slightly higher (range 0.71 to 0.82). To identify loci affecting lipid concentrations across adolescence, we analyzed longitudinal lipid data in a sample of 134 monozygotic and 626 dizygotic twin pairs at ages twelve, fourteen and sixteen, and their siblings, from 760 Australian families. Univariate linkage analysis for each phenotype and time point was supplemented by multivariate analysis across the time points. A genome-wide association scan was also performed on a subset of the subjects (N = 441). The strongest linkage was seen for triglycerides on chromosome 6p24.3 (multivariate -log(10) p = 6.81; equivalent LOD = 6.13; p = 1.55 x 10(-7)). Significant linkage was also found for LDL cholesterol on chromosome 2q35 (multivariate -log(10)p = 5.59; equivalent LOD = 4.53; p = 2.57 x 10(-6)). In the association analysis, rs10503840 on 8p21.1 was significantly associated with total cholesterol levels at age fourteen (p = 8.24 x 10(-7), estimated significance threshold 2.45 x 10(-6)). Association at p < 2.25 x 10(-6) was also found between triglycerides at age 12 and rs10507266, in an intron of THRAP2 (MIM 608771) on 12q24.21; and between HDL-C at age 14 and rs10506325 in an intergenic region of 12q13.13. Suggestive evidence of association at ages twelve and fourteen was found between HDL-C and rs10492859 on 16q23 (p = 2.42 x 10(-5) and 2.77 x 10(-4), respectively). Further longitudinal genetic studies of cardiovascular risk factors, focused on critical periods of development or change, are needed.
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Affiliation(s)
- Rita P Middelberg
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Australia.
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Cox HC, Bellis C, Lea RA, Quinlan S, Hughes R, Dyer T, Charlesworth J, Blangero J, Griffiths LR. Principal component and linkage analysis of cardiovascular risk traits in the Norfolk isolate. Hum Hered 2009; 68:55-64. [PMID: 19339786 DOI: 10.1159/000210449] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2008] [Accepted: 10/27/2008] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE(S) An individual's risk of developing cardiovascular disease (CVD) is influenced by genetic factors. This study focussed on mapping genetic loci for CVD-risk traits in a unique population isolate derived from Norfolk Island. METHODS This investigation focussed on 377 individuals descended from the population founders. Principal component analysis was used to extract orthogonal components from 11 cardiovascular risk traits. Multipoint variance component methods were used to assess genome-wide linkage using SOLAR to the derived factors. A total of 285 of the 377 related individuals were informative for linkage analysis. RESULTS A total of 4 principal components accounting for 83% of the total variance were derived. Principal component 1 was loaded with body size indicators; principal component 2 with body size, cholesterol and triglyceride levels; principal component 3 with the blood pressures; and principal component 4 with LDL-cholesterol and total cholesterol levels. Suggestive evidence of linkage for principal component 2 (h(2) = 0.35) was observed on chromosome 5q35 (LOD = 1.85; p = 0.0008). While peak regions on chromosome 10p11.2 (LOD = 1.27; p = 0.005) and 12q13 (LOD = 1.63; p = 0.003) were observed to segregate with principal components 1 (h(2) = 0.33) and 4 (h(2) = 0.42), respectively. CONCLUSION(S) This study investigated a number of CVD risk traits in a unique isolated population. Findings support the clustering of CVD risk traits and provide interesting evidence of a region on chromosome 5q35 segregating with weight, waist circumference, HDL-c and total triglyceride levels.
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Affiliation(s)
- Hannah C Cox
- Genomics Research Centre, Griffith Institute for Health and Medical Research, Griffith University, Gold Coast, Qld., Australia
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Coletta DK, Schneider J, Hu SL, Dyer TD, Puppala S, Farook VS, Arya R, Lehman DM, Blangero J, DeFronzo RA, Duggirala R, Jenkinson CP. Genome-wide linkage scan for genes influencing plasma triglyceride levels in the Veterans Administration Genetic Epidemiology Study. Diabetes 2009; 58:279-84. [PMID: 18931038 PMCID: PMC2606886 DOI: 10.2337/db08-0491] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
OBJECTIVE Elevated plasma triglyceride concentration is a component of the insulin resistance syndrome and is commonly associated with type 2 diabetes, obesity, and coronary heart disease. The goal of our study was to perform a genome-wide linkage scan to identify genetic regions that influence variation in plasma triglyceride levels in families that are enriched with individuals with type 2 diabetes. RESEARCH DESIGN AND METHODS We used phenotypic and genotypic data from 1,026 individuals distributed across 294 Mexican-American families, who were ascertained for type 2 diabetes, from the Veterans Administration Genetic Epidemiology Study (VAGES). Plasma triglyceride values were transformed, and a variance-components technique was used to conduct multipoint linkage analysis. RESULTS After adjusting for the significant effects of sex and BMI, heritability for plasma triglycerides was estimated as 46 +/- 7% (P < 0.0001). Multipoint linkage analysis yielded the strongest evidence for linkage of plasma triglycerides near marker D12S391 on chromosome 12p (logarithm of odds [LOD] = 2.4). Our linkage signal on chromosome 12p provides independent replication of a similar finding in another Mexican-American sample from the San Antonio Family Diabetes Study (SAFDS). Combined multipoint linkage analysis of the VAGES and SAFDS data yielded significant evidence for linkage of plasma triglycerides to a genetic location between markers GATA49D12 and D12S391 on 12p (LOD = 3.8, empirical P value = 2.0 x 10(-5)). This region on 12p harbors the gene-encoding adiponectin receptor 2 (AdipoR2), where we previously have shown that multiple single nucleotide polymorphisms are associated with plasma triglyceride concentrations in the SAFDS. In the present study, we provided suggestive evidence in favor of association for rs929434 with triglyceride concentrations in the VAGES. CONCLUSIONS Collectively, these results provide strong evidence for a major locus on chromosome 12p that influences plasma triglyceride levels in Mexican Americans.
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Affiliation(s)
- Dawn K Coletta
- Division of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
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Huertas-Vazquez A, Plaisier C, Weissglas-Volkov D, Sinsheimer J, Canizales-Quinteros S, Cruz-Bautista I, Nikkola E, Herrera-Hernandez M, Davila-Cervantes A, Tusie-Luna T, Taskinen MR, Aguilar-Salinas C, Pajukanta P. TCF7L2 is associated with high serum triacylglycerol and differentially expressed in adipose tissue in families with familial combined hyperlipidaemia. Diabetologia 2008; 51:62-9. [PMID: 17972059 DOI: 10.1007/s00125-007-0850-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2007] [Accepted: 09/19/2007] [Indexed: 10/22/2022]
Abstract
AIMS/HYPOTHESIS Common DNA variants of the transcription factor 7-like 2 gene (TCF7L2) are associated with type 2 diabetes. Familial combined hyperlipidaemia (FCHL) is characterised by hypertriacylglycerolaemia, hypercholesterolaemia, or both. Additionally, disturbances in glucose metabolism are commonly seen in FCHL. Therefore, we hypothesised that TCF7L2 may contribute to the genetic susceptibility for this common dyslipidaemia. METHODS We investigated the effect of the TCF7L2 variants, rs7903146 and rs12255372, on FCHL and its component traits triacylglycerol (TG), total cholesterol (TC) and apolipoprotein B (ApoB) in 759 individuals from 55 Mexican families. As a replication sample, 719 individuals from 60 Finnish FCHL families were analysed. We also used quantitative RT-PCR to evaluate the transcript levels of TCF7L2 in 47 subcutaneous fat biopsies from unrelated Mexican FCHL and normolipidaemic participants. RESULTS Significant evidence for association was observed for high TG for the T alleles of rs7903146 and rs12255372 (p = 0.005 and p = 0.01) in Mexican FCHL families. No evidence for association was observed for FCHL, TC, ApoB or glucose in Mexicans. When testing rs7903146 and rs12255372 for replication in Finnish FCHL families, these single nucleotide polymorphisms were associated with TG (p = 0.01 and p = 0.007). Furthermore, we observed statistically significant decreases in the mRNA levels (p = 0.0002) of TCF7L2 in FCHL- and TG-affected individuals. TCF7L2 expression was not altered by the SNP genotypes. CONCLUSIONS/INTERPRETATION These data show that rs7903146 and rs12255372 are significantly associated with high TG in FCHL families from two different populations. In addition, significantly decreased expression of TCF7L2 was observed in TG- and FCHL-affected individuals.
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Affiliation(s)
- A Huertas-Vazquez
- Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
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Impact of lipoproteins on the biological activity and disposition of hydrophobic drugs: implications for drug discovery. Nat Rev Drug Discov 2008; 7:84-99. [DOI: 10.1038/nrd2353] [Citation(s) in RCA: 180] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Carey RM. Pathophysiology of Primary Hypertension. Microcirculation 2008. [DOI: 10.1016/b978-0-12-374530-9.00020-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Associations with myocardial infarction of six polymorphisms selected from a three-stage genome-wide association study. Am Heart J 2007; 154:969-75. [PMID: 17967605 DOI: 10.1016/j.ahj.2007.06.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2007] [Accepted: 06/19/2007] [Indexed: 01/26/2023]
Abstract
BACKGROUND Coronary heart disease, including its clinical manifestation, myocardial infarction (MI), is a common, complex disease with a substantive genetic component. State-of-the-art genetic epidemiology evaluates thousands of single nucleotide polymorphisms (SNPs) in association with disease cases and controls. In an independent but demographically similar population, this study tested 6 SNPs that were previously reported to be associated with MI. METHODS Patients hospitalized for an acute MI (n = 413) at an early age (men < 55 years, women < 65 years) were compared with age-discordant (men > or = 65 years, women > or = 70 years) control patients (n = 792) who had no MI history and no hospitalization for MI at index angiography or during longitudinal follow-up. Six SNPs were genotyped in the genes palladin, ROS1, TAS2R50, OR13G1, and ZNF627. RESULTS Findings were not different from the null hypothesis, with ZNF627 (AG vs. GG: odds ratio [OR] 1.47, P = .16; AA vs. GG: OR 1.20, P = .50) and both ROS1 SNPs (GG vs AA: OR 0.72, P = .21; CC vs GG: OR 0.74, P = .24) showing potentially interesting ORs but nonsignificant probabilities. After full adjustment for all SNPs and covariables, only the ZNF627 heterozygote genotype had OR > 1.5 (P = .14). Comparison of MI cases with controls without obstructive coronary artery disease and analyses stratified by sex provided similar findings. CONCLUSIONS Six SNPs previously reported to be associated with MI were not validated, suggesting that further investigation is needed to verify the applicability of those SNPs to cardiovascular medicine. These findings emphasize the high potential for false-positive results even in staged genome-wide association studies and further emphasize the need for continued refinement of cardiovascular genetic methodologies for clinical application.
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Shah SH, Kraus WE, Crossman DC, Granger CB, Haines JL, Jones CJH, Mooser V, Huang L, Haynes C, Dowdy E, Vega GL, Grundy SM, Vance JM, Hauser ER. Serum lipids in the GENECARD study of coronary artery disease identify quantitative trait loci and phenotypic subsets on chromosomes 3q and 5q. Ann Hum Genet 2006; 70:738-48. [PMID: 17044848 DOI: 10.1111/j.1469-1809.2006.00288.x] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Coronary artery disease (CAD) and dyslipidemia have strong genetic components. Heterogeneity complicates evaluating genetics of complex diseases such as CAD; incorporating disease-related phenotypes may help reduce heterogeneity. We hypothesized that incorporating lipoproteins in a study of CAD would increase the power to map genes, narrow linkage peaks, identify phenotypic subsets, and elucidate the contribution of established risk factors to genetic results. We performed ordered subset analysis (OSA) and quantitative trait linkage (QTL) using serum lipoproteins and microsatellite markers in 346 families with early-onset CAD. OSA defined homogeneous subsets and calculated lod scores across a chromosome after ranking families by mean lipoprotein values. QTL used variance components analysis. We found significantly increased linkage to chromosome 3q13 (LOD 5.10, p = 0.008) in families with higher HDL cholesterol, lower LDL and total cholesterol, lower triglycerides, and fewer CAD risk factors, possibly due to a concentrated non-lipoprotein-related genetic effect. OSA identified linkage on chromosome 5q34 in families with higher cholesterol, possibly representing a hereditary lipoprotein phenotype. Multiple QTLs were identified, with the strongest for: total cholesterol on chromosome 5q14 (LOD 4.3); LDL on 20p12 (LOD 3.97); HDL on 3p14 (LOD 1.65); triglycerides on 18q22 (LOD 1.43); and HDL/TC ratio on 3q27-28 (LOD 2.06). Our findings suggest the presence of etiologic heterogeneity in families with early-onset CAD, potentially due to differential effects of lipoprotein phenotypes. Candidate genes are under investigation.
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Affiliation(s)
- S H Shah
- Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
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Brouwers MCGJ, Cantor RM, Kono N, Yoon JL, van der Kallen CJH, Bilderbeek-Beckers MAL, van Greevenbroek MMJ, Lusis AJ, de Bruin TWA. Heritability and genetic loci of fatty liver in familial combined hyperlipidemia. J Lipid Res 2006; 47:2799-807. [PMID: 16971732 DOI: 10.1194/jlr.m600312-jlr200] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
VLDL overproduction, a process that is driven by an excess amount of hepatic fat, is a well-documented feature of familial combined hyperlipidemia (FCHL). The aims of this study were to investigate whether fatty liver, measured with ultrasound and as plasma alanine aminotransferase (ALT) levels, develops against a genetic background in FCHL and to identify chromosomal loci that are linked to these traits. In total, 157 FCHL family members and 20 spouses participated in this study. Radiological evidence of fatty liver was more prevalent not only in FCHL probands (40%) but also in their relatives (35%) compared with spouses (15%) (P < 0.05). Heritability calculations revealed that 20-36% of the variability in ALT levels could be attributed to genetic factors. Nonparametric quantitative trait locus (QTL) analysis revealed three significant (P < 0.001) loci with either the ultrasound or the ALT trait in the male sample: 1q42.3, 7p12-21, and 22p13-q11; none was found in the female sample or the entire group. Of these QTLs, the 7p region was consistent over time, because reanalysis with ALT levels that were determined during a visit 5 years earlier yielded similar results. This study shows that fatty liver is a heritable aspect of FCHL. Replication of particularly the 7p region is awaited.
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Affiliation(s)
- Martijn C G J Brouwers
- Department of Medicine and Cardiovascular Research Institute Maastricht, Academic Hospital Maastricht, Maastricht, The Netherlands.
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Weissglas-Volkov D, Huertas-Vazquez A, Suviolahti E, Lee J, Plaisier C, Canizales-Quinteros S, Tusie-Luna T, Aguilar-Salinas C, Taskinen MR, Pajukanta P. Common hepatic nuclear factor-4alpha variants are associated with high serum lipid levels and the metabolic syndrome. Diabetes 2006; 55:1970-7. [PMID: 16804065 DOI: 10.2337/db06-0035] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Hepatic nuclear factor-4alpha (HNF-4alpha), a transcription factor involved in the regulation of serum lipid and glucose levels, has recently been associated with type 2 diabetes. The HNF-4alpha gene (HNF4A) resides on chromosome 20q12-q13.1, which, in addition to type 2 diabetes, has also previously been linked to high triglycerides in Finnish familial combined hyperlipidemia (FCHL) families. FCHL, characterized by elevated levels of serum total cholesterol, triglycerides, or both, is a common dyslipidemia observed in up to 20% of patients with premature coronary heart disease. Considering the clear phenotypic overlap between type 2 diabetes and FCHL, both predisposing to high serum triglycerides and glucose intolerance, we tested this gene for association in dyslipidemic families originating from two distinct populations, Finnish and Mexican, and comprising 1,447 subjects. Our data show that common HNF4A variants and haplotypes are associated with elevated serum lipid levels and the metabolic syndrome (P = 0.008-0.04), as well as with elevated glucose parameters (P = 0.008-0.03), using family-based association analysis. Importantly, both Finnish and Mexican families shared two common lipid-associated HNF4A haplotypes (P = 0.005 for total cholesterol and 0.006 for triglycerides). In conclusion, we show for the first time that common HNF4A variants are associated with high serum lipid levels and the metabolic syndrome.
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Affiliation(s)
- Daphna Weissglas-Volkov
- UCLA, Department of Human Genetics, Gonda Neuroscience and Genetics Research Center, 695 Charles E. Young Dr. South, Los Angeles, CA 90095-7088, USA
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Middelberg RP, Martin NG, Montgomery GW, Whitfield JB. Genome-wide linkage scan for loci influencing plasma triglycerides. Clin Chim Acta 2006; 374:87-92. [PMID: 16828726 DOI: 10.1016/j.cca.2006.05.033] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2006] [Revised: 05/26/2006] [Accepted: 05/26/2006] [Indexed: 11/28/2022]
Abstract
BACKGROUND Plasma triglyceride concentration is known to be a significant risk factor for cardiovascular disease (CVD). Previous studies have found that the level of triglycerides is strongly influenced by genetic factors. METHODS To identify quantitative trait loci influencing triglycerides, we conducted a genome-wide linkage scan on data from 485 Australian adult dizygotic twin pairs. Prior to linkage analysis, triglyceride values were adjusted for the effects of covariates including age, sex, time since last meal, time of blood collection (CT) and time to plasma separation. RESULTS The heritability estimate for ln(triglyceride) adjusted for all above fixed effects was 0.49. The highest multipoint LOD score observed was 2.94 (genome-wide p=0.049) on chromosome 7 (at 65 cM). This 7p region contains several candidate genes. Two other regions with suggestive multipoint LOD scores were also identified on chromosome 4 (LOD score=2.26 at 62 cM) and chromosome X (LOD score=2.01 at 81 cM). CONCLUSIONS The linkage peaks found represent newly identified regions for more detailed study, in particular the significant linkage observed on chromosome 7p13.
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Affiliation(s)
- Rita P Middelberg
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
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Abstract
PURPOSE OF REVIEW To provide an overview of recent advances that have defined the first putative genes behind familial combined hyperlipidemia, the most common genetic dyslipidemia and a major risk factor for early coronary heart disease. RECENT FINDINGS The first locus for familial combined hyperlipidemia on 1q21-23 revealed a gene encoding a transcription factor critical in lipid and glucose metabolism, USF1. All the associated variants represent noncoding single nucleotide polymorphisms, one of which affects the binding site of nuclear proteins with a putative effect on transcript levels of USF1. Transcript analyses of fat biopsies have exposed risk-allele related changes in the downstream genes. Another recent clue to the molecular pathogenesis of familial combined hyperlipidemia is the association of the high triglyceride trait with the APOA5 gene, located on 11q. More familial combined hyperlipidemia genes are expected to be found, since linkage evidence exists for additional loci on 16q24 and 20q12-q13.1. SUMMARY Genetic research of familial combined hyperlipidemia families has revealed several linked loci guiding to susceptibility genes. The USF1 transcription factor is the major gene underlying the 1q21-23 linkage. Modifying genes, especially influencing the high triglyceride trait, include APOC3 and APOA5, the latter representing a downstream target of USF1 and implying a USF1-dependent pathway in the molecular pathogenesis of dyslipidemias.
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Affiliation(s)
- Jussi Naukkarinen
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
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Chen W, Li S, Srinivasan SR, Boerwinkle E, Berenson GS. A genome scan for loci influencing levels and trends of lipoprotein lipid-related traits since childhood: The Bogalusa Heart Study. Atherosclerosis 2006; 190:248-55. [PMID: 16678832 DOI: 10.1016/j.atherosclerosis.2006.03.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2005] [Revised: 01/05/2006] [Accepted: 03/03/2006] [Indexed: 10/24/2022]
Abstract
Coronary heart disease is the result of life-long processes. Previous genetic linkage analyses of lipid and lipoprotein variables that can be measured throughout life have focused on a single measure at one point in time. Genome-wide linkage analyses were performed in the present study to identify loci influencing the long-term levels and trends of high-density lipoprotein cholesterol (HDLC) and low-density lipoprotein cholesterol (LDLC) and triglycerides in a longitudinal cohort. Microsatellite markers (n=357) were typed on 779 white and 444 black siblings, ages 14-43 years. Subjects had been examined serially 2-13 times with 6963 serial observations over an average of 22 years from childhood to adulthood. Total and incremental area under the growth curves of lipid traits was calculated and used as measures for long-term levels and trends. After adjusting for age, sex and body mass index, heritability estimates of total area values for all lipid variables were higher than those of a single measurement in either childhood or adulthood. In blacks, significant linkage to LDLC incremental area (peak LOD=3.6 at 50 cM) was observed on chromosome 1; and suggestive linkage for total area of LDLC (LOD=2.9 at 21 cM) on chromosome 19. Only one suggestive linkage (LOD=2.2 at 161 cM) on chromosome 2 was identified in whites for LDLC incremental area. Other suggestive linkage (LOD> or =2.0) was noted for LDLC and HDLC in terms of either total or incremental area on chromosomes 2, 5, 7 and 15 for blacks and whites. Several lipid-related candidate genes such as low-density lipoprotein receptor (LDLR), LDL receptor-related proteins 3 and 8, ApoE, ApoAII and ApoCII are located in these regions. Linkage evidence found in this community-based study indicates that regions on these chromosomes harbor genetic loci that affect the propensity to develop dyslipidemia from childhood.
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Affiliation(s)
- Wei Chen
- Tulane Center for Cardiovascular Health, Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
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Abstract
PURPOSE OF REVIEW Familial combined hyperlipidemia is a common complex disease that accounts for up to 20% of premature coronary heart disease. The upstream transcription factor 1, located on 1q21, was recently shown to be linked and associated with familial combined hyperlipidemia in Finnish families. Upstream transcription factor 1 is the first gene identified by positional cloning for familial combined hyperlipidemia. Replication studies are critical to investigation of complex diseases because only they can verify the importance of the original findings. We review recent studies that examine the genetic contribution and functional consequence of upstream transcription factor 1 variants to familial combined hyperlipidemia and type 2 diabetes mellitus. Aiming beyond upstream transcription factor 1, we also evaluate novel strategies that have made it possible to globally examine the genome and the transcriptome. RECENT FINDINGS Three independent studies support the role of upstream transcription factor 1 in familial combined hyperlipidemia. The results for type 2 diabetes mellitus and the metabolic syndrome have been less conclusive highlight novel strategies for gene identification in familial combined hyperlipidemia. SUMMARY Currently, genetic and functional evidence is supportive of a role for upstream transcription factor 1 in the etiology of familial combined hyperlipidemia and its component traits, although the mechanism of causality still remains largely unknown.
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Affiliation(s)
- Jenny C Lee
- Department of Human Genetics bDepartment of Medicine/Division of Cardiology, University of California Los Angeles, Los Angeles, California 90095, USA
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Abstract
Familial combined hyperlipidemia (FCHL) constitutes a substantial risk factor for atherosclerosis since it is observed in about 20% of coronary heart disease (CHD) patients under 60 years. FCHL, characterized by elevated levels of total cholesterol (TC) and triglycerides (TGs), or both, is also one of the most common familial hyperlipidemias with a prevalence of 1%-6% in Western populations. Numerous studies have been performed to identify genes contributing to FCHL. The recent linkage and association studies and their replications are beginning to elucidate the genetic variations underlying the susceptibility to FCHL. Three chromosomal regions on 1q21-23, 11p and 16q22-24.1 have been replicated in different study samples, offering targets for gene hunting. In addition, several candidate gene studies have replicated the influence of the lipoprotein lipase (LPL) gene and apolipoprotein A1/C3/A4/A5 (APOA1/C3/A4/A5) gene cluster in FCHL. Recently, the linked region on chromosome 1q21 was successfully fine-mapped and the upstream transcription factor 1 (USF1) gene identified as the underlying gene for FCHL. This finding has now been replicated in independent FCHL samples. However, the total number of variants, the risk related to each variant and their relative contributions to the disease susceptibility are not known yet.
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Affiliation(s)
- Elina Suviolahti
- Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA 90095-7088, USA
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Suviolahti E, Reue K, Cantor RM, Phan J, Gentile M, Naukkarinen J, Soro-Paavonen A, Oksanen L, Kaprio J, Rissanen A, Salomaa V, Kontula K, Taskinen MR, Pajukanta P, Peltonen L. Cross-species analyses implicate Lipin 1 involvement in human glucose metabolism. Hum Mol Genet 2005; 15:377-86. [PMID: 16357106 DOI: 10.1093/hmg/ddi448] [Citation(s) in RCA: 82] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Recent studies in the mouse have demonstrated that variations in lipin expression levels in adipose tissue have marked effects on adipose tissue mass and insulin sensitivity. In the mouse, lipin deficiency prevents normal adipose tissue development, resulting in lipodystrophy and insulin resistance, whereas excess lipin levels promote fat accumulation and insulin sensitivity. Here, we investigated the effects of genetic variation in lipin levels on glucose homeostasis across species by analyzing lipin transcript levels in human and mouse adipose tissues. A strong negative correlation was observed between lipin mRNA levels and fasting glucose and insulin levels, as well as an indicator of insulin resistance (HOMA-IR), in both mice and humans. We subsequently analyzed the allelic diversity of the LPIN1 gene in dyslipidemic Finnish families, as well as in a case-control sample of obese (n = 477) and lean (n = 821) individuals. Alleles were defined by genotyping seven single nucleotide polymorphisms (SNPs) of the critical DNA region over the LPIN1 gene. Intragenic SNPs and corresponding allelic haplotypes exhibited associations with serum insulin levels and body mass index (P = 0.002-0.04). Both the expression levels in adipose tissue across species and genetic data in human study samples highlight the importance of lipin in glucose homeostasis and imply that allelic variants of this gene have significance in human metabolic traits.
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Affiliation(s)
- Elina Suviolahti
- Department of Molecular Medicine, National Public Health Institute
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Yu Y, Wyszynski DF, Waterworth DM, Wilton SD, Barter PJ, Kesäniemi YA, Mahley RW, McPherson R, Waeber G, Bersot TP, Ma Q, Sharma SS, Montgomery DS, Middleton LT, Sundseth SS, Mooser V, Grundy SM, Farrer LA. Multiple QTLs influencing triglyceride and HDL and total cholesterol levels identified in families with atherogenic dyslipidemia. J Lipid Res 2005; 46:2202-13. [PMID: 16061952 DOI: 10.1194/jlr.m500137-jlr200] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
We conducted a genome-wide scan using variance components linkage analysis to localize quantitative-trait loci (QTLs) influencing triglyceride (TG), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol, and total cholesterol (TC) levels in 3,071 subjects from 459 families with atherogenic dyslipidemia. The most significant evidence for linkage to TG levels was found in a subset of Turkish families at 11q22 [logarithm of the odds ratio (LOD)=3.34] and at 17q12 (LOD=3.44). We performed sequential oligogenic linkage analysis to examine whether multiple QTLs jointly influence TG levels in the Turkish families. These analyses revealed loci at 20q13 that showed strong epistatic effects with 11q22 (conditional LOD=3.15) and at 7q36 that showed strong epistatic effects with 17q12 (conditional LOD=3.21). We also found linkage on the 8p21 region for TG in the entire group of families (LOD=3.08). For HDL-C levels, evidence of linkage was identified on chromosome 15 in the Turkish families (LOD=3.05) and on chromosome 5 in the entire group of families (LOD=2.83). Linkage to QTLs for TC was found at 8p23 in the entire group of families (LOD=4.05) and at 5q13 in a subset of Turkish and Mediterranean families (LOD=3.72). These QTLs provide important clues for the further investigation of genes responsible for these complex lipid phenotypes. These data also indicate that a large proportion of the variance of TG levels in the Turkish population is explained by the interaction of multiple genetic loci.
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Affiliation(s)
- Yi Yu
- Department of Medicine (Genetics Program), Boston University School of Medicine, Boston, MA, USA
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Huertas-Vazquez A, Aguilar-Salinas C, Lusis AJ, Cantor RM, Canizales-Quinteros S, Lee JC, Mariana-Nuñez L, Riba-Ramirez RML, Jokiaho A, Tusie-Luna T, Pajukanta P. Familial Combined Hyperlipidemia in Mexicans. Arterioscler Thromb Vasc Biol 2005; 25:1985-91. [PMID: 15976322 DOI: 10.1161/01.atv.0000175297.37214.a0] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To investigate the largely unknown genetic component of the common lipid disorder, familial combined hyperlipidemia (FCHL) in Mexicans, we analyzed the upstream transcription factor 1 (USF1) gene that was recently associated with FCHL and high triglycerides (TG) in Finns. We also analyzed the Mexican FCHL families for 26 microsatellite markers residing in the seven chromosomal regions on 2p25.1, 9p23, 10q11.23, 11q13, 16q24.1, 19q13, and 21q21, previously linked to FCHL in whites. METHODS AND RESULTS We genotyped 314 individuals in 24 Mexican families for 13 SNPs spanning an 88-kb region, including USF1. The FCHL and TG traits showed significant evidence for association with 3 SNPs, hCV1459766, rs3737787, and rs2073658, and haplotype analyses further supported these findings (probability values of 0.05 to 0.0009 for SNPs and their haplotypes). Of these SNPs, hCV1459766 is located in the F11 receptor (F11R) gene, located next to USF1, making it difficult to exclude. Importantly, the association was restricted to a considerably smaller region than in the Finns (14 kb versus 46 kb), possibly because of a different underlying linkage disequilibrium structure. In addition, 1 of the 7 regions, 16q24.1, showed suggestive evidence for linkage (a lod score of 2.6) for total cholesterol in Mexicans. CONCLUSIONS This study, the first to extensively investigate the genetic component of the common FCHL disorder in Mexicans, provides independent evidence for the role of USF1 in FCHL in an outbred population and links the 16q24.1 region to an FCHL-component trait in Mexicans.
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Affiliation(s)
- Adriana Huertas-Vazquez
- Molecular y Medicina Genómica del Instituto de Investigaciones Biomédicas, UNAM, Instituto Nacional de Ciencias Médicas y Nutrición, Salvador Zubirán, Mexico City, Mexico
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Naukkarinen J, Gentile M, Soro-Paavonen A, Saarela J, Koistinen HA, Pajukanta P, Taskinen MR, Peltonen L. USF1 and dyslipidemias: converging evidence for a functional intronic variant. Hum Mol Genet 2005; 14:2595-605. [PMID: 16076849 DOI: 10.1093/hmg/ddi294] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Upstream transcription factor 1 (USF1), the first gene associated with familial combined hyperlipidemia (FCHL), regulates numerous genes of glucose and lipid metabolism. Phenotypic overlap between FCHL, type 2 diabetes and the metabolic syndrome makes this gene an intriguing candidate in the disease process of these traits as well. As no disease-associated mutations in the coding region of USF1 have been identified, we addressed the functional role of intronic single nucleotide polymorphisms (SNPs) which define the FCHL-risk alleles of USF1, and identified that a 20 bp DNA sequence, containing the critical intronic SNP, binds nuclear protein(s), representing a likely transcriptional regulatory element. This functional role is further supported by the differential expression of USF1-regulated genes in fat biopsy between individuals carrying different allelic variants of USF1. Importantly, apolipoprotein E (APOE) is the most downregulated gene in the risk individuals, linking the potential risk alleles of USF1 with the impaired APOE-dependent catabolism of atherogenic lipoprotein particles.
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Affiliation(s)
- Jussi Naukkarinen
- Department of Molecular Medicine, National Public Health Institute, Finland
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Baffoe-Bonnie AB, Smith JR, Stephan DA, Schleutker J, Carpten JD, Kainu T, Gillanders EM, Matikainen M, Teslovich TM, Tammela T, Sood R, Balshem AM, Scarborough SD, Xu J, Isaacs WB, Trent JM, Kallioniemi OP, Bailey-Wilson JE. A major locus for hereditary prostate cancer in Finland: localization by linkage disequilibrium of a haplotype in the HPCX region. Hum Genet 2005; 117:307-16. [PMID: 15906096 DOI: 10.1007/s00439-005-1306-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2004] [Accepted: 03/10/2005] [Indexed: 12/21/2022]
Abstract
BACKGROUND Prostate cancer (PRCA) is the most common cancer in males in the western world. In Finland PRCA has an age-adjusted incidence of 81.5 per 100,000. We previously reported that in Finland, the late-onset cases in families with "no-male-to-male" (NMM) transmission of PRCA accounted for most of the linkage to the HPCX region (Xq27-28). The aim of the present study was to test for linkage disequilibrium (LD) and haplotype-sharing around marker DXS1205 between cases from hereditary prostate cancer (HPC) families and population controls. The initial allelic association was performed between 108 PRCA cases and 257 population controls genotyped for 23 markers in the Xq26-28 region. This resulted in a highly significant nominal one-sided Fisher's exact P-value of 0.0003 for allele ''180'' of marker DXS1205. Subsequently, a similar level of significance was observed for the same allele for marker DXS1205 (P=0.0002) when comparing 60 NMM cases and 257 controls. These results were still significant after Bonferroni correction for multiple testing. Fine mapping efforts included the genotyping of four additional markers D3S2390, bG82i1.9, bG82i1.1, bG82i1.0 and four single nucleotide polymorphisms (SNPs) to augment the original markers around DXS1205. RESULTS Our major finding is that markers extending from ''D3S2390'' to ''bG82i1.0'' flank the critical locus, about 150 kb. Levin and Bertell's LD measure (delta), a guide to localization of a possible variant, was 0.42 and 0.41 for alleles of markers bG82i1.9 and DXS1205, respectively. CONCLUSIONS In this study, the most significant haplotype comprised the three tightly linked, contiguous markers: ''cen-bG82i1.9-SNP-Hap B-bG82i1.1-tel'' [''197-2-234''] among several possible haplotypes (nominal Fisher's one-sided P=0.003). The two transcription units mapping within this interval are the LDOC1 and SPANXC genes. Positional cloning of the HPCX gene(s) is being facilitated by this exploration of the Xq26-28 region. This study represents the first report identifying a haplotype in the Xq27-28 region for an association between HPCX and X-linked prostate cancer with no-male-to-male transmission in the Finnish population.
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Affiliation(s)
- Agnes B Baffoe-Bonnie
- Division of Population Science, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA
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Sammalisto S, Hiekkalinna T, Suviolahti E, Sood K, Metzidis A, Pajukanta P, Lilja HE, Soro-Paavonen A, Taskinen MR, Tuomi T, Almgren P, Orho-Melander M, Groop L, Peltonen L, Perola M. A male-specific quantitative trait locus on 1p21 controlling human stature. J Med Genet 2005; 42:932-9. [PMID: 15827092 PMCID: PMC1735962 DOI: 10.1136/jmg.2005.031278] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND Many genome-wide scans aimed at complex traits have been statistically underpowered due to small sample size. Combining data from several genome-wide screens with comparable quantitative phenotype data should improve statistical power for the localisation of genomic regions contributing to these traits. OBJECTIVE To perform a genome-wide screen for loci affecting adult stature by combined analysis of four previously performed genome-wide scans. METHODS We developed a web based computer tool, Cartographer, for combining genetic marker maps which positions genetic markers accurately using the July 2003 release of the human genome sequence and the deCODE genetic map. Using Cartographer, we combined the primary genotype data from four genome-wide scans and performed variance components (VC) linkage analyses for human stature on the pooled dataset of 1417 individuals from 277 families and performed VC analyses for males and females separately. RESULTS We found significant linkage to stature on 1p21 (multipoint LOD score 4.25) and suggestive linkages on 9p24 and 18q21 (multipoint LOD scores 2.57 and 2.39, respectively) in males-only analyses. We also found suggestive linkage to 4q35 and 22q13 (multipoint LOD scores 2.18 and 2.85, respectively) when we analysed both females and males and to 13q12 (multipoint LOD score 2.66) in females-only analyses. CONCLUSIONS We strengthened the evidence for linkage to previously reported quantitative trait loci (QTL) for stature and also found significant evidence of a novel male-specific QTL on 1p21. Further investigation of several interesting candidate genes in this region will help towards characterisation of this first sex-specific locus affecting human stature.
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Affiliation(s)
- S Sammalisto
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
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Abstract
PURPOSE OF REVIEW Quantitative trait locus analysis has been used in both humans and mice for the purpose of finding new genes regulating plasma lipid levels. We review these methods and discuss new approaches that can help find quantitative trait locus genes. RECENT FINDINGS Many quantitative trait loci have been found that regulate plasma levels for HDL cholesterol (37 in mice and 30 in humans), LDL cholesterol (25 in mice and 20 in humans) and triglycerides (19 in mice and 30 in humans). Most of the human quantitative trait loci have concordant mouse quantitative trait loci mapping to homologous regions (93% for HDL cholesterol, 100% for LDL cholesterol and 80% for triglycerides), suggesting that many genes identified in mice may also regulate the same traits in humans. New approaches based on recently developed genomic and bioinformatic technologies and resources should greatly facilitate finding these genes. SUMMARY New genes regulating plasma lipid levels can be found in mice and then tested in humans. Some of these genes could be potential therapeutic targets for human atherosclerosis.
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Affiliation(s)
- Xiaosong Wang
- The Jackson Laboratory, Bar Harbor, Maine 04609, USA.
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42
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North KE, Miller MB, Coon H, Martin LJ, Peacock JM, Arnett D, Zhang B, Province M, Oberman A, Blangero J, Almasy L, Ellison RC, Heiss G. Evidence for a gene influencing fasting LDL cholesterol and triglyceride levels on chromosome 21q. Atherosclerosis 2005; 179:119-25. [PMID: 15721017 DOI: 10.1016/j.atherosclerosis.2004.09.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2004] [Revised: 08/19/2004] [Accepted: 09/14/2004] [Indexed: 10/26/2022]
Abstract
High levels of low-density lipoprotein (LDL) cholesterol, low levels of high-density lipoprotein (HDL) cholesterol, and high levels of triglycerides (TG) are strong predictors of cardiovascular disease risk. Motivated by previous evidence for pleiotropy between cholesterol and TG levels, we conducted bivariate linkage analysis of LDL cholesterol and TG concentration among participants of the Hypertension Genetic Epidemiolgy Network (HyperGEN), one of four networks in the NHLBI sponsored Family Blood Pressure Program Project. All available hypertensive siblings and their first-degree relatives were recruited. Both phenotypes were similarly adjusted for ethnicity, study center, sex, age, age-by-sex interactions, smoking, alcohol consumption, hormone use, diabetes medication use, and waist circumference. Variance component linkage analysis was performed as implemented in SOLAR, using ethnicity-specific marker allele frequencies derived from founders and multipoint IBDs calculated in MERLIN. A maximum genome-wide empirical LOD score of 3.9 was detected on chromosome 21 at 54cM, between markers D21S2055 and D21S1446. This signal overlaps with suggestive and/or significant linkages for total cholesterol, LDL cholesterol, and apolipoprotein B in three other studies and is suggestive of one or more genes on chromosome 21q jointly regulating LDL cholesterol and TG concentration.
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Affiliation(s)
- Kari E North
- Department of Epidemiology, University of North Carolina, Bank of America Center, 137 E. Franklin St., Suite 306, Chapel Hill, NC 27514, USA.
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43
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Cantor RM, de Bruin T, Kono N, Napier S, van Nas A, Allayee H, Lusis AJ. Quantitative Trait Loci for Apolipoprotein B, Cholesterol, and Triglycerides in Familial Combined Hyperlipidemia Pedigrees. Arterioscler Thromb Vasc Biol 2004; 24:1935-41. [PMID: 15308552 DOI: 10.1161/01.atv.0000142358.46276.a7] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Familial combined hyperlipidemia (FCHL) is a genetically complex lipid disorder that is diagnosed in families by combinations of increased cholesterol, triglycerides, and/or apolipoprotein B (apoB) levels in patients and their first-degree relatives. Identifying the predisposing genes promises to reveal the primary risk factors and susceptibility pathways and suggest methods of prevention and treatment. As with most genetically complex disorders, a clinical definition of disease may not be the most useful phenotype for finding the complement of predisposing genes, and the quantitative traits used to define the disorder can provide important information. This is a report of a quantitative trait loci (QTL) analysis of FCHL. METHODS AND RESULTS A full genome scan of 377 multi-allelic markers genotyped at approximately 10 centimorgan (cM) intervals was conducted in 150 sibling pairs from 22 nuclear families in FCHL pedigrees. These data were analyzed by 2 multipoint QTL linkage methods using the nonparametric and Haseman-Elston procedures of the Genehunter software. Using a criterion of P<0.001 by the nonparametric analysis, we found evidence of 2 apoB QTL at 1p21-31 (P<0.000009) and 17p11-q21 (P<0.000009), a total serum cholesterol QTL at 12p13 (P<0.0001), and a serum triglycerides QTL at 4p15-16 (P<0.0002). Using the criterion of P<0.03 for at least 2 traits at the same locus, additional evidence for cholesterol (P<0.01) and a triglycerides P<0.02) was observed at 17p11-21, as well as suggestive evidence for apoB (P<0.02) and triglycerides (P<0.01) at 4q34-35, and cholesterol (P<0.01) and triglycerides (P<0.02) and a binary FCHL trait (lod=1.5) at 16p12-13. CONCLUSIONS QTL analyses of the traits that define FCHL are effective for localizing disease-predisposing genes.
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Affiliation(s)
- Rita M Cantor
- Department of Human Genetics, David Geffen School of Medicine at UCLA, 695 Charles E. Young Dr. South, Los Angeles, CA 90095-7088, USA.
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44
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Lilja HE, Suviolahti E, Soro-Paavonen A, Hiekkalinna T, Day A, Lange K, Sobel E, Taskinen MR, Peltonen L, Perola M, Pajukanta P. Locus for quantitative HDL-cholesterol on chromosome 10q in Finnish families with dyslipidemia. J Lipid Res 2004; 45:1876-84. [PMID: 15258200 DOI: 10.1194/jlr.m400141-jlr200] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Decreased HDL-cholesterol (HDL-C) and familial combined hyperlipidemia (FCHL) are the two most common familial dyslipidemias predisposing to premature coronary heart disease (CHD). These dyslipidemias share many phenotypic features, suggesting a partially overlapping molecular pathogenesis. This was supported by our previous pooled data analysis of the genome scans for low HDL-C and FCHL, which identified three shared chromosomal regions for a qualitative HDL-C trait on 8q23.1, 16q23.3, and 20q13.32. This study further investigates these regions as well as two other loci we identified earlier for premature CHD on 2q31 and Xq24 and a locus for high serum triglycerides (TGs) on 10q11. We analyzed 67 microsatellite markers in an extended study sample of 1,109 individuals from 92 low HDL-C or FCHL families using both qualitative and quantitative lipid phenotypes. These analyses provided evidence for linkage (a logarithm of odds score of 3.2) on 10q11 using a quantitative HDL-C trait. Importantly, this region, previously linked to TGs, body mass index, and obesity, provided evidence for association for quantitative TGs (P = 0.0006) and for a combined trait of HDL-C and TGs (P = 0.008) with marker D10S546. Suggestive evidence for linkage also emerged for HDL-C on 2q31 and for TGs on 20q13.32. Finnish families ascertained for dyslipidemias thus suggest that 10q11, 2q31, and 20q13.32 harbor loci for HDL-C and TGs.
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Affiliation(s)
- Heidi E Lilja
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
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45
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Wang X, Gargalovic P, Wong J, Gu JL, Wu X, Qi H, Wen P, Xi L, Tan B, Gogliotti R, Castellani LW, Chatterjee A, Lusis AJ. Hyplip2, a New Gene for Combined Hyperlipidemia and Increased Atherosclerosis. Arterioscler Thromb Vasc Biol 2004; 24:1928-34. [PMID: 15331434 DOI: 10.1161/01.atv.0000143385.30354.bb] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE We previously reported the mapping of a quantitative trait locus (QTL) on chromosome 15 contributing to hyperlipidemia in a cross between inbred strains MRL/MpJ (MRL) and BALB/cJ (BALB). Using marker-assisted breeding, we constructed a congenic strain in which chromosome 15 interval from MRL is placed on the genetic background of BALB. The congenic allowed us to confirm the QTL result and to further characterize the properties and location of the underlying gene. METHODS AND RESULTS On chow and high-fat (atherogenic) diets, the congenic mice exhibited higher levels of plasma triglycerides and cholesterol than BALB mice. In response to the atherogenic diet, the congenic mice but not BALB mice exhibited a dramatic approximately 30-fold increase in atherogenic lesions accompanied by approximately 2-fold decrease in high-density lipoprotein cholesterol levels. With respect to atherosclerotic lesions and some lipid parameters, this chromosome 15 gene, designated Hyplip2, exhibited dominant inheritance. Expression array analyses suggested that Hyplip2 may influence inflammatory and bile acid synthesis pathways. Finally, we demonstrated the usefulness of subcongenic strains to narrow the locus (50 Mbp) with the goal of positionally cloning Hyplip2. CONCLUSIONS Our data demonstrate that the Hyplip2 gene significantly contributes to combined hyperlipidemia and increased atherosclerosis in mice.
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Affiliation(s)
- Xuping Wang
- Department of Medicine,University of California, Los Angeles 90095-1679, USA
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46
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Arnett DK, Miller MB, Coon H, Ellison RC, North KE, Province M, Leppert M, Eckfeldt JH. Genome-wide linkage analysis replicates susceptibility locus for fasting plasma triglycerides: NHLBI Family Heart Study. Hum Genet 2004; 115:468-74. [PMID: 15375693 DOI: 10.1007/s00439-004-1182-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2004] [Accepted: 07/12/2004] [Indexed: 10/26/2022]
Abstract
Recent reports implicate chromosomal regions linked to inter-individual variation in plasma triglycerides. We conducted genome-wide scans to replicate these linkages and/or identify other loci influencing plasma triglycerides in the NHLBI Family Heart Study (FHS). Data were obtained for 501 three-generational families. Genotyping was done by the Utah Molecular Genetics Laboratory and NHLBI Mammalian Genotyping Service; markers from both were placed on one genetic map. Analysis was done using multipoint variance components linkage. Fasting plasma triglycerides were log-transformed and age-, sex-, and field center-adjusted; suggestive linkage evidence was found on chromosome 8 (LOD=2.80 at 89 cM, marker D8S1141). Further adjustment for waist girth, BMI, diabetes, hypertension, and lipid-lowering drugs suggested linkage regions on chromosomes 6 (LOD=2.29 at 79 cM, marker D6S295) and 15 (LOD=1.85 at 43 cM, marker D15S659). Since HDL is correlated with triglycerides and because it was linked to this region on chromosome 15 in FHS, we created a composite triglyceride-HDL phenotype. The combined phenotype LOD score was 3.0 at the same marker on chromosome 15. Chromosome 15 likely harbors a susceptibility locus with an influence on triglycerides and HDL. Regions on chromosomes 6 and 8 may also contain loci contributing to inter-individual variation in plasma triglycerides.
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MESH Headings
- Chromosome Mapping
- Chromosomes/ultrastructure
- Chromosomes, Human, Pair 15
- Chromosomes, Human, Pair 6
- Chromosomes, Human, Pair 8
- Family Health
- Fasting
- Female
- Genetic Linkage
- Genetic Markers
- Genetic Predisposition to Disease
- Genome, Human
- Genotype
- Humans
- Likelihood Functions
- Lipoproteins, HDL/blood
- Lipoproteins, HDL/genetics
- Lipoproteins, HDL/metabolism
- Lod Score
- Male
- Phenotype
- Quantitative Trait Loci
- Triglycerides/blood
- Triglycerides/genetics
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Affiliation(s)
- Donna K Arnett
- Division of Epidemiology, University of Minnesota, 1300 South Second Street, Suite 300, Minneapolis, MN 55454, USA.
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Bossé Y, Chagnon YC, Després JP, Rice T, Rao DC, Bouchard C, Pérusse L, Vohl MC. Compendium of genome-wide scans of lipid-related phenotypes: adding a new genome-wide search of apolipoprotein levels. J Lipid Res 2004; 45:2174-84. [PMID: 15375185 DOI: 10.1194/jlr.r400008-jlr200] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The genetic dissection of complex inherited diseases is a major challenge. Despite limited success in finding genes, substantial data based on genome-wide scan strategies is now available for a variety of diseases and related phenotypes. This can perhaps best be appreciated in the field of lipid and lipoprotein levels, where the amount of information generated is becoming overwhelming. We have created a database containing the results from whole-genome scans of lipid-related phenotypes undertaken to date. The usefulness of this database is demonstrated by performing a new autosomal genomic scan on apolipoprotein B (apoB), LDL-apoB, and apoA-I levels, measured in 679 subjects of 243 nuclear families. Linkage was tested using both allele-sharing and variance-component methods. Only two loci provided support for linkage with both methods: a LDL-apoB locus on 18q21.32 and an apoA-I locus on 3p25.2. Adding those findings to the database highlighted the fact that the former is reported as a lipid-related locus for the first time, whereas the latter has been observed before. However, concerns arise when displaying all data on the same map, because a large portion of the genome is now covered with loci supported by at least suggestive evidence of linkage.
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Affiliation(s)
- Yohan Bossé
- Lipid Research Center, Laval University Medical Research Center, Québec, Canada
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48
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Huertas-Vázquez A, del Rincón JP, Canizales-Quinteros S, Riba L, Vega-Hernández G, Ramírez-Jiménez S, Aurón-Gómez M, Gómez-Pérez FJ, Aguilar-Salinas CA, Tusié-Luna MT. Contribution of Chromosome 1q21-q23 to Familial Combined Hyperlipidemia in Mexican Families. Ann Hum Genet 2004; 68:419-27. [PMID: 15469419 DOI: 10.1046/j.1529-8817.2003.00116.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Familial combined hyperlipidemia (FCHL) is the most common familial dyslipidemia, with a prevalence of 1-2% in the general population. A major locus for FCHL has been mapped to chromosome 1q21-q23 in Finnish, Chinese, German and US families. We studied seven extended Mexican families with 153 members, including 64 affected subjects. A total of 11 markers were genotyped, including D1S104 which has been linked to FCHL in other studies. Two point linkage analysis for the FCHL phenotype, and for the elevated triglyceride (TG) trait, allowing for heterogeneity, gave a maximum HLOD of 1.67 (alpha = 0.49) and 1.93 (alpha = 0.43) at D1S2768 (2.69 cM proximal to D1S104) respectively. Heterogeneity and non-parametric (NPL) multipoint analyses for the FCHL phenotype and the TG trait showed maximum HLODs of 1.27 (alpha = 0.46) and 1.64 (alpha = 0.38), and NPLs of 4.00 (P = 0.0001) and 3.68 (P = 0.0003) near D1S2768, respectively. In addition, analysis of four candidate genes putatively involved in the expression of FCHL showed no evidence of linkage for the LCAT gene or the APOA1/C3/A4/A5 gene cluster. However, we cannot exclude the participation of these genes, or the LIPC and LPL genes, as minor susceptibility loci in the expression of FCHL, or the TG or elevated total cholesterol (TC) traits in our families. In conclusion, our data confirm the involvement of a major susceptibility locus on chromosome 1q21-q23 in FCHL Mexican families, consistent with findings in other populations.
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Affiliation(s)
- A Huertas-Vázquez
- Unidad de Biología Molecular y Medicina Genómica del Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México y del Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City
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49
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Pollin TI, Hsueh WC, Steinle NI, Snitker S, Shuldiner AR, Mitchell BD. A genome-wide scan of serum lipid levels in the Old Order Amish. Atherosclerosis 2004; 173:89-96. [PMID: 15177127 DOI: 10.1016/j.atherosclerosis.2003.11.012] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2003] [Accepted: 11/05/2003] [Indexed: 10/26/2022]
Abstract
Elevated serum low density lipoprotein cholesterol (LDL-C) and triglyceride (TG) and decreased high density lipoprotein cholesterol (HDL-C) levels are established risk factors for cardiovascular disease (CVD). To identify quantitative trait loci influencing lipid levels, we conducted genome-wide linkage analyses of total serum cholesterol (TSC), HDL-C, ln-transformed TG (LNTG) and LDL-C levels in 612 individuals from 28 families of the Amish Family Diabetes Study (AFDS). Subjects were genotyped for 373 microsatellite markers covering all 22 autosomes and the X chromosome at an average density of 9.7 centimorgans. All lipid traits exhibited moderate estimated heritability (h2 +/- S.E.): TSC, 0.63 +/- 0.11; HDL-C, 0.54 +/- 0.08; LNTG, 0.37 +/- 0.08; LDL-C, 0.62 +/- 0.10. The highest logarithm of the odds (LOD) score observed was 2.47 (P = 0.0003), at 3p25 for LDL-C. LOD scores exceeding 2.0 (P < 0.001) were also observed at 2p23 (LOD = 2.17) and 19p13 (LOD = 2.23) for LDL-C, and at 11q23 (LOD = 2.03) for LNTG. Three additional regions exhibited LOD scores greater than 1.5, corresponding to a P-value of <0.005. Many of the regions suggestively linked in this genome-wide scan contain genes encoding proteins with established roles in lipid metabolism, including apolipoproteins, peroxisome proliferater-activated receptor-gamma and the LDL receptor.
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Affiliation(s)
- Toni I Pollin
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, 660 W Redwood Street, Room 492, Baltimore, MD 21201, USA
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50
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Martín-Campos JM, Escolà-Gil JC, Ribas V, Blanco-Vaca F. Apolipoprotein A-II, genetic variation on chromosome 1q21-q24, and disease susceptibility. Curr Opin Lipidol 2004; 15:247-53. [PMID: 15166779 DOI: 10.1097/00041433-200406000-00003] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
PURPOSE OF REVIEW Apolipoprotein (apo) A-II is the second most abundant HDL apolipoprotein; however its function remains largely unknown. Owing to the lack of consequences of apoA-II deficiency in humans, it has long been considered an apolipoprotein of minor importance. Overexpression of apoA-II in transgenic mice, however, causes combined hyperlipidemia and, in some cases, insulin resistance. This, and the location of the apoA-II gene in chromosome 1q23, a hot region in the search for genes associated with familial combined hyperlipidemia, insulin resistance and type 2 diabetes mellitus, has greatly increased interest in this protein. RECENT FINDINGS ApoA-II is biochemically and genetically linked to familial combined hyperlipidemia. Given that the chromosome 1q21-q24 region is associated with insulin resistance or type 2 diabetes, this region is a now a focus of interest in the study of these complex, often overlapping diseases. However, no polymorphisms that increase apoA-II levels have been identified to date in humans. Other nonstructural loci may regulate apoA-II plasma concentration. Further, plasma apoA-II concentration is increased by saturated fat intake. Several reports have added to our understanding of the relationship between apoA-II mutations and amyloidosis both in humans and mice. SUMMARY An increased plasma concentration of apoA-II might contribute to familial combined hyperlipidemia or type 2 diabetes mellitus expression, which emphasizes the need to understand its function and metabolism. Genetic studies in well characterized patients and genomic and proteomic approaches in cell and mouse models may help to achieve this understanding.
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Affiliation(s)
- Jesús M Martín-Campos
- Servei de Bioquímica i Institut de Recerca, Hospital de la Santa Creu i Sant Pau, and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain
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