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Motulsky AG. A German-Jewish refugee in Vichy France 1939-1941. Arno Motulsky's memoir of life in the internment camps at St. Cyprien and Gurs. Am J Med Genet A 2018; 176:1289-1295. [PMID: 29697901 PMCID: PMC6001526 DOI: 10.1002/ajmg.a.38701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 03/15/2018] [Indexed: 12/03/2022]
Affiliation(s)
- Arno G. Motulsky
- Departments of Medicine (Medical Genetics) and Genome Sciences; University of Washington; Seattle Washington
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Abstract
It is my great pleasure to have been asked by the Editorial Committee of the Annual Review of Genomics and Human Genetics to write a short autobiography of my life in genetics over the past 70 years. It has been a great adventure. I came both to America and to human genetics by a circuitous and ultimately very fortunate route. I hope the next generation of geneticists will enjoy reading about it.
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Affiliation(s)
- Arno G. Motulsky
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington 98195
| | - Mary-Claire King
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington 98195
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Gallego CJ, Burt A, Sundaresan AS, Ye Z, Shaw C, Crosslin DR, Crane PK, Fullerton SM, Hansen K, Carrell D, Kuivaniemi H, Derr K, de Andrade M, McCarty CA, Kitchner TE, Ragon BK, Stallings SC, Papa G, Bochenek J, Smith ME, Aufox SA, Pacheco JA, Patel V, Friesema EM, Erwin AL, Gottesman O, Gerhard GS, Ritchie M, Motulsky AG, Kullo IJ, Larson EB, Tromp G, Brilliant MH, Bottinger E, Denny JC, Roden DM, Williams MS, Jarvik GP. Penetrance of Hemochromatosis in HFE Genotypes Resulting in p.Cys282Tyr and p.[Cys282Tyr];[His63Asp] in the eMERGE Network. Am J Hum Genet 2015; 97:512-20. [PMID: 26365338 PMCID: PMC4596892 DOI: 10.1016/j.ajhg.2015.08.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2015] [Accepted: 08/17/2015] [Indexed: 01/24/2023] Open
Abstract
Hereditary hemochromatosis (HH) is a common autosomal-recessive disorder associated with pathogenic HFE variants, most commonly those resulting in p.Cys282Tyr and p.His63Asp. Recommendations on returning incidental findings of HFE variants in individuals undergoing genome-scale sequencing should be informed by penetrance estimates of HH in unselected samples. We used the eMERGE Network, a multicenter cohort with genotype data linked to electronic medical records, to estimate the diagnostic rate and clinical penetrance of HH in 98 individuals homozygous for the variant coding for HFE p.Cys282Tyr and 397 compound heterozygotes with variants resulting in p.[His63Asp];[Cys282Tyr]. The diagnostic rate of HH in males was 24.4% for p.Cys282Tyr homozygotes and 3.5% for compound heterozygotes (p < 0.001); in females, it was 14.0% for p.Cys282Tyr homozygotes and 2.3% for compound heterozygotes (p < 0.001). Only males showed differences across genotypes in transferrin saturation levels (100% of homozygotes versus 37.5% of compound heterozygotes with transferrin saturation > 50%; p = 0.003), serum ferritin levels (77.8% versus 33.3% with serum ferritin > 300 ng/ml; p = 0.006), and diabetes (44.7% versus 28.0%; p = 0.03). No differences were found in the prevalence of heart disease, arthritis, or liver disease, except for the rate of liver biopsy (10.9% versus 1.8% [p = 0.013] in males; 9.1% versus 2% [p = 0.035] in females). Given the higher rate of HH diagnosis than in prior studies, the high penetrance of iron overload, and the frequency of at-risk genotypes, in addition to other suggested actionable adult-onset genetic conditions, opportunistic screening should be considered for p.[Cys282Tyr];[Cys282Tyr] individuals with existing genomic data.
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Affiliation(s)
- Carlos J Gallego
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA; Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy, University of Washington, Seattle, WA 98195, USA.
| | - Amber Burt
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Agnes S Sundaresan
- Center for Health Research, Geisinger Health System, Danville, PA 17822, USA
| | - Zi Ye
- Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Christopher Shaw
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - David R Crosslin
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Paul K Crane
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA 98104, USA
| | - S Malia Fullerton
- Department of Bioethics and Humanities, University of Washington, Seattle, WA 98195, USA
| | - Kris Hansen
- Group Health Research Institute, Group Health Cooperative, Seattle, WA 98101, USA
| | - David Carrell
- Group Health Research Institute, Group Health Cooperative, Seattle, WA 98101, USA
| | - Helena Kuivaniemi
- Siegfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA
| | - Kimberly Derr
- Siegfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Catherine A McCarty
- Research Division, Essentia Institute of Rural Health, Duluth, MN 55805, USA
| | - Terrie E Kitchner
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI 54449, USA
| | - Brittany K Ragon
- Division of Cancer Medicine, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sarah C Stallings
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Gabriella Papa
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Joseph Bochenek
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Maureen E Smith
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Sharon A Aufox
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Vaibhav Patel
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Elisha M Friesema
- Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Angelika Ludtke Erwin
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Omri Gottesman
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Glenn S Gerhard
- Department of Medical Genetics and Molecular Biochemistry, Temple University School of Medicine, Philadelphia, PA 19140, USA
| | - Marylyn Ritchie
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Arno G Motulsky
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Iftikhar J Kullo
- Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Eric B Larson
- Group Health Research Institute, Group Health Cooperative, Seattle, WA 98101, USA
| | - Gerard Tromp
- Siegfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA
| | - Murray H Brilliant
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI 54449, USA
| | - Erwin Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Dan M Roden
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Marc S Williams
- Genomic Medicine Institute, Geisinger Health System, Danville, PA 17822, USA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA.
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Bennett RL, Motulsky AG, Bittles A, Hudgins L, Uhrich S, Doyle DL, Silvey K, Scott CR, Cheng E, McGillivray B, Steiner RD, Olson D. Genetic Counseling and Screening of Consanguineous Couples and Their Offspring: Recommendations of the National Society of Genetic Counselors. J Genet Couns 2015; 11:97-119. [PMID: 26141656 DOI: 10.1023/a:1014593404915] [Citation(s) in RCA: 145] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The objective of this document is to provide recommendations for genetic counseling and screening for consanguineous couples (related as second cousins or closer) and their offspring with the goals of1. providing preconception reproductive options2. improving pregnancy outcome and identifying reproductive choices3. reducing morbidity and mortality in the 1st years of life, and4. respecting psychosocial and multicultural issues.The recommendations are the opinions of a multicenter working group (the Consanguinity Working Group (CWG)) with expertise in genetic counseling, medical genetics, biochemical genetics, genetic epidemiology, pediatrics, perinatology, and public health genetics, which was convened by the National Society of Genetic Counselors (NSGC). The consensus of the CWG and NSGC reviewers is that beyond a thorough medical family history with follow-up of significant findings, no additional preconception screening is recommended for consanguineous couples. Consanguineous couples should be offered similar genetic screening as suggested for any couple of their ethnic group. During pregnancy, consanguineous couples should be offered maternal-fetal serum marker screening and high-resolution fetal ultrasonography. Newborns should be screened for impaired hearing and detection of treatable inborn errors of metabolism. These recommendations should not be construed as dictating an exclusive course of management, nor does use of such recommendations guarantee a particular outcome. The professional judgment of a health care provider, familiar with the facts and circumstances of a specific case, will always supersede these recommendations.
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Affiliation(s)
- Robin L Bennett
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington,
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5
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Kim DS, Burt AA, Ranchalis JE, Vuletic S, Vaisar T, Li WF, Rosenthal EA, Dong W, Eintracht JF, Motulsky AG, Brunzell JD, Albers JJ, Furlong CE, Jarvik GP. PLTP activity inversely correlates with CAAD: effects of PON1 enzyme activity and genetic variants on PLTP activity. J Lipid Res 2015; 56:1351-62. [PMID: 26009633 DOI: 10.1194/jlr.p058032] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Indexed: 01/07/2023] Open
Abstract
Recent studies have failed to demonstrate a causal cardioprotective effect of HDL cholesterol levels, shifting focus to the functional aspects of HDL. Phospholipid transfer protein (PLTP) is an HDL-associated protein involved in reverse cholesterol transport. This study sought to determine the genetic and nongenetic predictors of plasma PLTP activity (PLTPa), and separately, to determine whether PLTPa predicted carotid artery disease (CAAD). PLTPa was measured in 1,115 European ancestry participants from a case-control study of CAAD. A multivariate logistic regression model was used to elucidate the relationship between PLTPa and CAAD. Separately, a stepwise linear regression determined the nongenetic clinical and laboratory characteristics that best predicted PLTPa. A final stepwise regression considering both nongenetic and genetic variables identified the combination of covariates that explained maximal PLTPa variance. PLTPa was significantly associated with CAAD (7.90 × 10(-9)), with a 9% decrease in odds of CAAD per 1 unit increase in PLTPa (odds ratio = 0.91). Triglyceride levels (P = 0.0042), diabetes (P = 7.28 × 10(-5)), paraoxonase 1 (PON1) activity (P = 0.019), statin use (P = 0.026), PLTP SNP rs4810479 (P = 6.38 × 10(-7)), and PCIF1 SNP rs181914932 (P = 0.041) were all significantly associated with PLTPa. PLTPa is significantly inversely correlated with CAAD. Furthermore, we report a novel association between PLTPa and PON1 activity, a known predictor of CAAD.
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Affiliation(s)
- Daniel Seung Kim
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA Department of Biostatistics, University of Washington School of Public Health, Seattle, WA
| | - Amber A Burt
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Jane E Ranchalis
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Simona Vuletic
- Northwest Lipid Metabolism and Diabetes Research Laboratories, Seattle, WA Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Tomas Vaisar
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Wan-Fen Li
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Elisabeth A Rosenthal
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Weijiang Dong
- Northwest Lipid Metabolism and Diabetes Research Laboratories, Seattle, WA Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA Department of Human Anatomy and Histology and Embryology, Xi'an Jiaotong University School of Medicine, Xi'an 710061, People's Republic of China
| | - Jason F Eintracht
- Department of General Medicine, Virginia Mason Medical Center, Seattle, WA
| | - Arno G Motulsky
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - John D Brunzell
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - John J Albers
- Northwest Lipid Metabolism and Diabetes Research Laboratories, Seattle, WA Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Clement E Furlong
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
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6
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Amendola LM, Dorschner MO, Robertson PD, Salama JS, Hart R, Shirts BH, Murray ML, Tokita MJ, Gallego CJ, Kim DS, Bennett JT, Crosslin DR, Ranchalis J, Jones KL, Rosenthal EA, Jarvik ER, Itsara A, Turner EH, Herman DS, Schleit J, Burt A, Jamal SM, Abrudan JL, Johnson AD, Conlin LK, Dulik MC, Santani A, Metterville DR, Kelly M, Foreman AKM, Lee K, Taylor KD, Guo X, Crooks K, Kiedrowski LA, Raffel LJ, Gordon O, Machini K, Desnick RJ, Biesecker LG, Lubitz SA, Mulchandani S, Cooper GM, Joffe S, Richards CS, Yang Y, Rotter JI, Rich SS, O'Donnell CJ, Berg JS, Spinner NB, Evans JP, Fullerton SM, Leppig KA, Bennett RL, Bird T, Sybert VP, Grady WM, Tabor HK, Kim JH, Bamshad MJ, Wilfond B, Motulsky AG, Scott CR, Pritchard CC, Walsh TD, Burke W, Raskind WH, Byers P, Hisama FM, Rehm H, Nickerson DA, Jarvik GP. Actionable exomic incidental findings in 6503 participants: challenges of variant classification. Genome Res 2015; 25:305-15. [PMID: 25637381 PMCID: PMC4352885 DOI: 10.1101/gr.183483.114] [Citation(s) in RCA: 259] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Recommendations for laboratories to report incidental findings from genomic tests have stimulated interest in such results. In order to investigate the criteria and processes for assigning the pathogenicity of specific variants and to estimate the frequency of such incidental findings in patients of European and African ancestry, we classified potentially actionable pathogenic single-nucleotide variants (SNVs) in all 4300 European- and 2203 African-ancestry participants sequenced by the NHLBI Exome Sequencing Project (ESP). We considered 112 gene-disease pairs selected by an expert panel as associated with medically actionable genetic disorders that may be undiagnosed in adults. The resulting classifications were compared to classifications from other clinical and research genetic testing laboratories, as well as with in silico pathogenicity scores. Among European-ancestry participants, 30 of 4300 (0.7%) had a pathogenic SNV and six (0.1%) had a disruptive variant that was expected to be pathogenic, whereas 52 (1.2%) had likely pathogenic SNVs. For African-ancestry participants, six of 2203 (0.3%) had a pathogenic SNV and six (0.3%) had an expected pathogenic disruptive variant, whereas 13 (0.6%) had likely pathogenic SNVs. Genomic Evolutionary Rate Profiling mammalian conservation score and the Combined Annotation Dependent Depletion summary score of conservation, substitution, regulation, and other evidence were compared across pathogenicity assignments and appear to have utility in variant classification. This work provides a refined estimate of the burden of adult onset, medically actionable incidental findings expected from exome sequencing, highlights challenges in variant classification, and demonstrates the need for a better curated variant interpretation knowledge base.
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Affiliation(s)
- Laura M Amendola
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Michael O Dorschner
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA; Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Peggy D Robertson
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Joseph S Salama
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Ragan Hart
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Brian H Shirts
- Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Mitzi L Murray
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Pathology, University of Washington, Seattle, Washington 98195, USA
| | - Mari J Tokita
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Carlos J Gallego
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Daniel Seung Kim
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - James T Bennett
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA
| | - David R Crosslin
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Jane Ranchalis
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Kelly L Jones
- Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA
| | - Elisabeth A Rosenthal
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Ella R Jarvik
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Andy Itsara
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Emily H Turner
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA; Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Daniel S Herman
- Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Jennifer Schleit
- Department of Pathology, University of Washington, Seattle, Washington 98195, USA
| | - Amber Burt
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Seema M Jamal
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Jenica L Abrudan
- Department of Genetics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Andrew D Johnson
- The Framingham Heart Study, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, Massachusetts 01702, USA
| | - Laura K Conlin
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Matthew C Dulik
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Department of Pediatrics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Avni Santani
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | | | - Melissa Kelly
- Partners Healthcare Personalized Medicine, Partners Healthcare, Boston, Massachusetts 02115, USA
| | - Ann Katherine M Foreman
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Kristy Lee
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Kent D Taylor
- Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA, Torrence, California 90502, USA
| | - Xiuqing Guo
- Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA, Torrence, California 90502, USA
| | - Kristy Crooks
- Department of Pathology and Laboratory Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA
| | - Lesli A Kiedrowski
- Department of Cancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Leslie J Raffel
- Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
| | - Ora Gordon
- Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
| | - Kalotina Machini
- Laboratory of Molecular Medicine, Partners Healthcare, Boston, Massachusetts 02115, USA; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA; Department of Pathology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Robert J Desnick
- Department of Genetic and Genomic Medicine, Division of Medical Genetics, Mount Sinai Hospital, New York, New York 10029, USA
| | - Leslie G Biesecker
- Genetic Diseases Research Branch, National Human Genome Research Institute, Bethesda, Maryland 20892, USA
| | - Steven A Lubitz
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Surabhi Mulchandani
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Greg M Cooper
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA
| | - Steven Joffe
- Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - C Sue Richards
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon 97239, USA
| | - Yaoping Yang
- Department of Pediatrics, Division of Infectious Disease, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA, Torrence, California 90502, USA
| | - Jerome I Rotter
- Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA, Torrence, California 90502, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia 22908, USA
| | - Christopher J O'Donnell
- The Framingham Heart Study, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, Massachusetts 01702, USA; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Jonathan S Berg
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Nancy B Spinner
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - James P Evans
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington, Seattle, Washington 98195, USA
| | - Kathleen A Leppig
- Genetic Services, Group Health Cooperative, Seattle, Washington 98112, USA
| | - Robin L Bennett
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Thomas Bird
- Department of Neurology, University of Washington, Seattle, Washington 98195, USA; Veterans Affairs Puget Sound Health Care System Geriatric Research, Education, and Clinical Center, Seattle, Washington 98108, USA
| | - Virginia P Sybert
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Dermatology, Group Health Cooperative, Seattle, Washington 98112, USA
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA; Department of Medicine, Division of Gastroenterology, University of Washington, Seattle, Washington 98195, USA
| | - Holly K Tabor
- Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA; Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, Washington 98105, USA
| | - Jerry H Kim
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Michael J Bamshad
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA; Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA
| | - Benjamin Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, Washington 98105, USA; Department of Pediatrics, Division of Bioethics, University of Washington, Seattle, Washington 98195, USA
| | - Arno G Motulsky
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - C Ronald Scott
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Colin C Pritchard
- Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Tom D Walsh
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Wylie Burke
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Bioethics and Humanities, University of Washington, Seattle, Washington 98195, USA
| | - Wendy H Raskind
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Peter Byers
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Pathology, University of Washington, Seattle, Washington 98195, USA
| | - Fuki M Hisama
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | - Heidi Rehm
- Laboratory of Molecular Medicine, Partners Healthcare, Boston, Massachusetts 02115, USA; Department of Pathology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Debbie A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Gail P Jarvik
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
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7
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Dorschner MO, Amendola LM, Turner EH, Robertson PD, Shirts BH, Gallego CJ, Bennett RL, Jones KL, Tokita MJ, Bennett JT, Kim JH, Rosenthal EA, Kim DS, Tabor HK, Bamshad MJ, Motulsky AG, Scott CR, Pritchard CC, Walsh T, Burke W, Raskind WH, Byers P, Hisama FM, Nickerson DA, Jarvik GP. Actionable, pathogenic incidental findings in 1,000 participants' exomes. Am J Hum Genet 2013; 93:631-40. [PMID: 24055113 DOI: 10.1016/j.ajhg.2013.08.006] [Citation(s) in RCA: 295] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Revised: 07/29/2013] [Accepted: 08/05/2013] [Indexed: 12/21/2022] Open
Abstract
The incorporation of genomics into medicine is stimulating interest on the return of incidental findings (IFs) from exome and genome sequencing. However, no large-scale study has yet estimated the number of expected actionable findings per individual; therefore, we classified actionable pathogenic single-nucleotide variants in 500 European- and 500 African-descent participants randomly selected from the National Heart, Lung, and Blood Institute Exome Sequencing Project. The 1,000 individuals were screened for variants in 114 genes selected by an expert panel for their association with medically actionable genetic conditions possibly undiagnosed in adults. Among the 1,000 participants, 585 instances of 239 unique variants were identified as disease causing in the Human Gene Mutation Database (HGMD). The primary literature supporting the variants' pathogenicity was reviewed. Of the identified IFs, only 16 unique autosomal-dominant variants in 17 individuals were assessed to be pathogenic or likely pathogenic, and one participant had two pathogenic variants for an autosomal-recessive disease. Furthermore, one pathogenic and four likely pathogenic variants not listed as disease causing in HGMD were identified. These data can provide an estimate of the frequency (∼3.4% for European descent and ∼1.2% for African descent) of the high-penetrance actionable pathogenic or likely pathogenic variants in adults. The 23 participants with pathogenic or likely pathogenic variants were disproportionately of European (17) versus African (6) descent. The process of classifying these variants underscores the need for a more comprehensive and diverse centralized resource to provide curated information on pathogenicity for clinical use to minimize health disparities in genomic medicine.
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Affiliation(s)
- Michael O Dorschner
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA; Department of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA
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8
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Anderson CAM, Beresford SAA, McLerran D, Lampe JW, Deeb S, Feng Z, Motulsky AG. Response of serum and red blood cell folate concentrations to folic acid supplementation depends on methylenetetrahydrofolate reductase C677T genotype: results from a crossover trial. Mol Nutr Food Res 2013; 57:637-44. [PMID: 23456769 DOI: 10.1002/mnfr.201200108] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2012] [Revised: 10/28/2012] [Accepted: 12/27/2012] [Indexed: 11/11/2022]
Abstract
SCOPE By increasing blood folate concentrations, folic acid supplementation reduces risk for neural tube defect-affected pregnancies, and lowers homocysteine concentrations. We assessed response of red blood cell (RBC) and serum folate to folic acid supplementation, and examined association of response with the genetic polymorphism C677T of the methylenetetrahydrofolate NAD(P)H (MTHFR) gene. METHODS AND RESULTS Randomized, controlled, crossover trial with two folic acid supplement treatment periods and a 30-week washout period. The primary outcome is blood folate (serum and RBC) concentrations. Volunteers (n = 142) aged 18-69 were randomized to two of three doses (0, 200, and 400 μg) of folic acid for 12 weeks. Serum folate response depended on treatment period with significant responses to 200 μg seen only in the second treatment periods (4.4 ng/mL or 3.4 ng/mL). Additionally, serum folate increased as folic acid dose increased to 400 μg (p < 0.01) and response was greater after the washout period (8.7 ng/mL), than after a 6-week run-in (2.3 ng/mL). The differential change attributable to a daily supplement of 400 μg compared to 200 μg was 96.8 ng/mL; while the change attributable to 400 μg compared to 0 μg was 121.4. Increases in RBC folate concentrations with 400 μg occurred within MTHFR gene mutation (C677T); and in the African American group. CONCLUSION Serum folate concentration is responsive to modest increases in folic acid intake. RBC folate increases only with higher additional doses of folic acid supplementation, and this is true for each MTHFR C677T genotype.
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Affiliation(s)
- Cheryl A M Anderson
- Department of Family and Preventive Medicine, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
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9
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Rosenthal EA, Ronald J, Rothstein J, Rajagopalan R, Ranchalis J, Wolfbauer G, Albers JJ, Brunzell JD, Motulsky AG, Rieder MJ, Nickerson DA, Wijsman EM, Jarvik GP. Linkage and association of phospholipid transfer protein activity to LASS4. J Lipid Res 2011; 52:1837-46. [PMID: 21757428 DOI: 10.1194/jlr.p016576] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Phospholipid transfer protein activity (PLTPa) is associated with insulin levels and has been implicated in atherosclerotic disease in both mice and humans. Variation at the PLTP structural locus on chromosome 20 explains some, but not all, heritable variation in PLTPa. In order to detect quantitative trait loci (QTLs) elsewhere in the genome that affect PLTPa, we performed both oligogenic and single QTL linkage analysis on four large families (n = 227 with phenotype, n = 330 with genotype, n = 462 total), ascertained for familial combined hyperlipidemia. We detected evidence of linkage between PLTPa and chromosome 19p (lod = 3.2) for a single family and chromosome 2q (lod = 2.8) for all families. Inclusion of additional marker and exome sequence data in the analysis refined the linkage signal on chromosome 19 and implicated coding variation in LASS4, a gene regulated by leptin that is involved in ceramide synthesis. Association between PLTPa and LASS4 variation was replicated in the other three families (P = 0.02), adjusting for pedigree structure. To our knowledge, this is the first example for which exome data was used in families to identify a complex QTL that is not the structural locus.
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Affiliation(s)
- Elisabeth A Rosenthal
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
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10
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Wijsman EM, Rothstein JH, Igo RP, Brunzell JD, Motulsky AG, Jarvik GP. Linkage and association analyses identify a candidate region for apoB level on chromosome 4q32.3 in FCHL families. Hum Genet 2010; 127:705-19. [PMID: 20383777 DOI: 10.1007/s00439-010-0819-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2010] [Accepted: 03/30/2010] [Indexed: 02/01/2023]
Abstract
Familial combined hyperlipidemia (FCHL) is a complex trait leading to cardiovascular disease (CVD) risk. Elevated levels and size of apolipoprotein B (apoB) and low-density lipoprotein (LDL) are associated with FCHL, which is genetically heterogeneous and is likely caused by rare variants. We carried out a linkage-based genome scan of four large FCHL pedigrees for apoB level that is independent of LDL: apoB level that is adjusted for LDL level and size. Follow-up included SNP genotyping in the region with the strongest evidence of linkage. Several regions with the evidence of linkage in individual pedigrees support the rare variant model. Evidence of linkage was strongest on chromosome 4q, with multipoint analysis in one pedigree giving LOD = 3.1 with a parametric model, and a log Bayes Factor = 1.5 from a Bayesian oligogenic approach. Of the 293 SNPs spanning the implicated region on 4q, rs6829588 completely explained the evidence of linkage. This SNP accounted for 39% of the apoB phenotypic variance, with heterozygotes for this SNP having a trait value that was approximately 30% higher than that of the high-frequency homozygote, thus identifying and considerably refining a strong candidate region. These results illustrate the advantage of using large pedigrees in the search for rare variants: reduced genetic heterogeneity within single pedigrees coupled with the large number of individuals segregating otherwise-rare single variants leads to high power to implicate such variants.
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Affiliation(s)
- Ellen M Wijsman
- Division of Medical Genetics, Department of Medicine, University of Washington, 4333 Brooklyn Ave NE, Box 359460, Seattle, WA 98195-9460, USA.
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Jarvik GP, Rajagopalan R, Rosenthal EA, Wolfbauer G, McKinstry L, Vaze A, Brunzell J, Motulsky AG, Nickerson DA, Heagerty PJ, Wijsman EM, Albers JJ. Genetic and nongenetic sources of variation in phospholipid transfer protein activity. J Lipid Res 2009; 51:983-90. [PMID: 19965587 DOI: 10.1194/jlr.m000125] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Phospholipid transfer protein (PLTP) belongs to the lipid transfer/lipopolysaccharide-binding protein gene family. Expression of PLTP has been implicated in the development of atherosclerosis. We evaluated the effects of PLTP region tagging single nucleotide polymorphisms (SNPs) on the prediction of both carotid artery disease (CAAD) and PLTP activity. CAAD effects were evaluated in 442 Caucasian male subjects with severe CAAD and 497 vascular disease-free controls. SNP prediction of PLTP transfer activity was evaluated in both a subsample of 87 subjects enriched for an allele of interest and in a confirmation sample of 210 Caucasian males and females. Hemoglobin A1c or insulin level predicted 11-14% of age- and sex-adjusted PLTP activity. PLTP SNPs that predicted approximately 11-30% of adjusted PLTP activity variance were identified in the two cohorts. For rs6065904, the allele that was associated with CAAD was also associated with elevated PLTP activity in both cohorts. SNPs associated with PLTP activity also predicted variation in LDL-cholesterol and LDL-B level only in the replication cohort. These results demonstrate that PLTP activity is strongly influenced by PLTP region polymorphisms and metabolic factors.
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Affiliation(s)
- Gail P Jarvik
- Department of Medicine (Division of Medical Genetics), University of Washington, Seattle, WA, USA.
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12
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Ozdemir V, Motulsky AG, Kolker E, Godard B. Genome-environment interactions and prospective technology assessment: evolution from pharmacogenomics to nutrigenomics and ecogenomics. OMICS 2009; 13:1-6. [PMID: 19290807 DOI: 10.1089/omi.2009.0013] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The relationships between food, nutrition science, and health outcomes have been mapped over the past century. Genomic variation among individuals and populations is a new factor that enriches and challenges our understanding of these complex relationships. Hence, the confluence of nutritional science and genomics-nutrigenomics--was the focus of the OMICS: A Journal of Integrative Biology in December 2008 (Part 1). The 2009 Special Issue (Part 2) concludes the analysis of nutrigenomics research and innovations. Together, these two issues expand the scope and depth of critical scholarship in nutrigenomics, in keeping with an integrated multidisciplinary analysis across the bioscience, omics technology, social, ethical, intellectual property and policy dimensions. Historically, the field of pharmacogenetics provided the first examples of specifically identifiable gene variants predisposing to unexpected responses to drugs since the 1950s. Brewer coined the term ecogenetics in 1971 to broaden the concept of gene-environment interactions from drugs and nutrition to include environmental agents in general. In the mid-1990s, introduction of high-throughput technologies led to the terms pharmacogenomics, nutrigenomics and ecogenomics to describe, respectively, the contribution of genomic variability to differential responses to drugs, food, and environment defined in the broadest sense. The distinctions, if any, between these newer fields (e.g., nutrigenomics) and their predecessors (e.g., nutrigenetics) remain to be delineated. For nutrigenomics, its reliance on genome-wide analyses may lead to detection of new biological mechanisms governing host response to food. Recognizing "genome-environment interactions" as the conceptual thread that connects and runs through pharmacogenomics, nutrigenomics, and ecogenomics may contribute toward anticipatory governance and prospective real-time analysis of these omics fields. Such real-time analysis of omics technologies and innovations is crucial, because it can influence and positively shape them as these approaches develop, and help avoid predictable pitfalls, and thus ensure their effective and ethical application in the laboratory, clinic, and society.
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Affiliation(s)
- Vural Ozdemir
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Montréal, Montréal, Québec, Canada.
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13
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Jarvik GP, Brunzell JD, Motulsky AG. Frequent detection of familial hypercholesterolemia mutations in familial combined hyperlipidemia. J Am Coll Cardiol 2008; 52:1554-6. [PMID: 19007591 DOI: 10.1016/j.jacc.2008.08.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2008] [Revised: 07/31/2008] [Accepted: 08/05/2008] [Indexed: 10/21/2022]
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Affiliation(s)
- David Gurwitz
- Tel-Aviv University, Department of Human Genetics and Molecular Medicine, Faculty of Medicine, Tel-Aviv, Israel
| | - Arno G Motulsky
- University of Washington, Departments of Medicine (Medical Genetics) and Genome Sciences, Seattle, Washington, USA
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Abstract
Hypertension represents the upper 15-25% of the blood pressure distribution in industrialized countries. The trait is practically absent in primitive societies and is made manifest by diet and lifestyles in industrialized countries. High blood pressure is an important risk factor for strokes, heart disease and renal disease. The frequency of hypertension is higher among blacks than among whites in the USA. Various twin, family and adoption studies indicate a strong genetic effect on blood pressure. The genetic mechanisms are unknown. Membrane transport variability has been studied in red cells as a surrogate for analogous alterations in smooth muscle or renal cells. Among the various transport systems, erythrocyte sodium-lithium countertransport (CT) has been consistently elevated in variable proportions of Caucasian hypertensives. Genetic studies of countertransport levels have shown familial aggregation and higher concordance for monozygotic than dizygotic twins. Complex segregation analysis suggests the action of a major gene superimposed on a polygenic background. The postulated gene (B) raises CT activity and has a population frequency of 0.25. CT levels of the common AA homozygotes and AB heterozygotes cannot be distinguished from each other, whereas CT activity of BB homozygotes (6% of the population) is significantly elevated. Although the CT gene contributes only 2.7% to 3.5% of the variability of blood pressure over its entire range, 14% to 20% of persons with systolic hypertension (greater than 140 mmHg) are BB homozygotes rather than the expected 6% to 7%. A much lower frequency of elevated countertransport activity among black hypertensives suggests genetic heterogeneity in the pathogenesis of high blood pressure. Further investigations on the mechanism and genetic linkage relationships of the putative CT gene may aid in elucidating an important mechanism of blood pressure elevation and will allow molecular approaches in the future.
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Affiliation(s)
- A G Motulsky
- Department of Medicine (Medical Genetics), University of Washington, Seattle 98195
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16
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Anderson CAM, Beresford SAA, Lampe J, Knopp RH, Motulsky AG. Enhancing recruitment of healthy African American volunteers in a city with a small African American community: results from a dietary supplement crossover trial. Ethn Dis 2007; 17:555-559. [PMID: 17985513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023] Open
Abstract
OBJECTIVE To describe strategies for enhancing recruitment of African Americans to a longterm intervention study requiring frequent blood draws and follow-up visits, in a city with relatively few African Americans. DESIGN The intervention study was a 14-month, double-blind, crossover study evaluating the effects of three oral folic acid doses on blood homocysteine levels. The goal was to have 40 African Americans complete the study, in addition to 160 participants from other races and ethnicities. RESULTS Of 707 healthy, adult men and women recruited, 57 were African Americans. Recruitment advice was sought from African American community leaders interested in health research and the advice can be attributable to the success of recruitment. As suggested by the community leaders, our female African American project manager made oral presentations to select community groups. Word-of-mouth support from community leaders and study participants helped recruitment. Although the adult Seattle population is 7.4% African American, the group completing the study comprised 15% African Americans. Retention in the dietary intervention was 74% (31 out of 42) among African Americans, 81% (158 out of 196) among non-African Americans--a statistically non-significant difference. CONCLUSIONS Advice from African American community leaders about targeting appropriate civic/professional groups, churches, and community organizations can lead to effective recruitment of African Americans. Advice should be sought before beginning recruitment and endorsement for the study should be obtained. Effective retention of African American participants is possible for intervention studies requiring multiple blood draws and follow-up visits.
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17
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Motulsky AG. Introduction. Am J Hum Genet 2006. [DOI: 10.1086/505886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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18
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Abstract
Approaches to the study of the genetic basis of common complex diseases and their clinical applications are considered. Monogenic Mendelian inheritance in such conditions is infrequent but its elucidation may help to detect pathogenic mechanisms in the more common variety of complex diseases. Involvement by multiple genes in complex diseases usually occurs but the isolation and identification of specific genes so far has been exceptional. The role of common polymorphisms as indicators of disease risk in various studies is discussed.
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Abstract
Pharmacogenetics and pharmacogenomics deal with the role of genetic factors in drug effectiveness and adverse drug reactions. The promise of a personalized medicine is beginning to be explored but requires much more clinical and translational research. Specific DNA abnormalities in some cancers already have led to effective targeted treatments. Racially determined frequency differences in pharmacogenetic traits may affect choice of treatment requiring specific testing rather than basing treatments according to racial designation. The role of genes in variable responses to foreign chemicals (xenobiotics) has been termed ecogenetics or toxicogenetics raising problems in public health and occupational medicine. Nutrigenetics refers to genetic variation in response to nutrients and may affect nutritional requirements and predisposition to chronic disease.
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Affiliation(s)
- Arno G. Motulsky
- Department of Medicine Medical Genetics and Genome Sciences, University of Washington, Seattle, WA 98195, USA
- School of Medicine, Zhejiang University, Hangzhou 310003, China
- †E-mail:;
| | - Ming Qi
- School of Medicine, Zhejiang University, Hangzhou 310003, China
- Beijing Genome Institute, CAS, Beijing 101300, China
- University of Rochester, NY 14642, USA
- †E-mail:;
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20
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Zambon A, Brown BG, Hokanson JE, Motulsky AG, Brunzell JD. Genetically determined apo B levels and peak LDL density predict angiographic response to intensive lipid-lowering therapy. J Intern Med 2006; 259:401-9. [PMID: 16594908 DOI: 10.1111/j.1365-2796.2006.01626.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Lipid-lowering therapy (LL-Rx) reduces coronary artery disease (CAD) but the response varies amongst individuals. We investigated the contribution of three genetic forms of dyslipidaemia characterized by elevated plasma apo B, familial hypercholesterolaemia (FH), familial combined hyperlipidaemia (FCHL), and elevated Lp(a), to the angiographic response with LL-Rx. METHODS AND RESULTS Fifty-one men, with premature CAD and elevated plasma apo B, were selected in whom a genetic diagnosis was based on lipid phenotypes in relatives. Subjects received conventional (diet +/- colestipol) or intensive LL-Rx (niacin or lovastatin plus colestipol). Clinical parameters and CAD severity were measured before and after 2 years of treatment. Twenty-seven patients had FCHL, 12 FH and 12 elevated Lp(a). Regression of coronary stenosis was dependent on the effect of therapy (P < 0.001), genetic form of dyslipidaemia (P = 0.004) and the interaction between the two variables (P = 0.02). Significant regression of coronary stenosis occurred only in FCHL and Lp(a) (P = 0.03, vs. control groups); CAD progression was only slowed in FH. CONCLUSIONS Three genetic forms of dyslipidaemia were associated with different angiographic outcomes during intensive LL-Rx. Different forms of dyslipidaemia therefore may require different lipid-lowering strategy. Patients with FH and buoyant LDL require more aggressive reduction of LDL cholesterol whilst those with either FCHL or elevated Lp(a) with dense LDL need LDL cholesterol reduction as well as therapies aimed at reduction of the small, dense LDL particles.
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Affiliation(s)
- A Zambon
- Department of Medicine, University of Washington, Seattle, WA 98195-6426, USA
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Abstract
The current enthusiasm for pharmacogenetics draws much of its inspiration from the relatively few examples of polymorphisms that have marked and seemingly clinically relevant effects on drug response. In this regard, pharmacogenetic research has paralleled the study of human disease, which has enjoyed success in identifying mutations underlying mendelian conditions. Progress in deciphering the genetics of complex diseases, involving the interaction of multiple genes with each other and with the environment has been considerably less successful. In most instances, drug responses will probably also prove to be complex, influenced by both the environment and multiple genetic factors. For pharmacogenetics to deliver on its potential, this complexity will need to be recognized and accommodated, both in basic research and in clinical application of pharmacogenetics. As the attention of researchers begins to shift toward more systematic pharmacogenetic investigations, we suggest some priorities and standards for pharmacogenetic research.
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Affiliation(s)
- Anna C Need
- Institute for Genome Sciences & Policy, Center for Population Genomics & Pharmacogenetics, Duke University, 103 Research Drive, DUMC Box 3471, Durham, North Carolina 27710, USA
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22
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Gagnon F, Jarvik GP, Badzioch MD, Motulsky AG, Brunzell JD, Wijsman EM. Genome scan for quantitative trait loci influencing HDL levels: evidence for multilocus inheritance in familial combined hyperlipidemia. Hum Genet 2005; 117:494-505. [PMID: 15959807 DOI: 10.1007/s00439-005-1338-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2004] [Accepted: 04/27/2005] [Indexed: 11/25/2022]
Abstract
Several genome scans in search of high-density lipoprotein (HDL) quantitative trait loci (QTLs) have been performed. However, to date the actual identification of genes implicated in the regulation of common forms of HDL abnormalities remains unsuccessful. This may be due, in part, to the oligogenic and multivariate nature of HDL regulation, and potentially, pleiotropy affecting HDL and other lipid-related traits. Using a Bayesian Markov Chain Monte Carlo (MCMC) approach, we recently provided evidence of linkage of HDL level variation to the APOA1-C3-A4-A5 gene complex, in familial combined hyperlipidemia pedigrees, with an estimated number of two to three large QTLs remaining to be identified. We also presented results consistent with pleiotropy affecting HDL and triglycerides at the APOA1-C3-A4-A5 gene complex. Here we use the same MCMC analytic strategy, which allows for oligogenic trait models, as well as simultaneous incorporation of covariates, in the context of multipoint analysis. We now present results from a genome scan in search for the additional HDL QTLs in these pedigrees. We provide evidence of linkage for additional HDL QTLs on chromosomes 3p14 and 13q32, with results on chromosome 3 further supported by maximum parametric and variance component LOD scores of 3.0 and 2.6, respectively. Weaker evidence of linkage was also obtained for 7q32, 12q12, 14q31-32 and 16q23-24.
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Affiliation(s)
- France Gagnon
- Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada
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24
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Anderson CAM, Jorgensen AL, Deeb S, McLerran D, Beresford SAA, Motulsky AG. Equal proportion of adult male and female homozygous for the 677C ? T mutation in the methylenetetrahydrofolate reductase polymorphism. Am J Med Genet A 2005; 134A:97-9. [PMID: 15704130 DOI: 10.1002/ajmg.a.30391] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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25
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Badzioch MD, Igo RP, Gagnon F, Brunzell JD, Krauss RM, Motulsky AG, Wijsman EM, Jarvik GP. Low-Density Lipoprotein Particle Size Loci in Familial Combined Hyperlipidemia. Arterioscler Thromb Vasc Biol 2004; 24:1942-50. [PMID: 15331429 DOI: 10.1161/01.atv.0000143499.09575.93] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective—
Low-density lipoprotein (LDL) size is associated with vascular disease and with familial combined hyperlipidemia (FCHL).
Methods and Results—
We used logarithm of odds (lod) score and Bayesian Markov chain Monte Carlo (MCMC) linkage analysis methods to perform a 10-cM genome scan of LDL size, measured as peak particle diameter (PPD) and adjusted for age, sex, body mass index, and triglycerides in 4 large families with FCHL (n=185). We identified significant evidence of linkage to a chromosome 9p locus (multipoint lod
max
=3.70; MCMC intensity ratio [IR]=21) in a single family, and across all 4 families to chromosomes 16q23 (lod
max
=3.00; IR=43) near cholesteryl ester transfer protein (
CETP
) and to 11q22 (lod
max
=3.71; IR=120). Chromosome 14q24-31, a region with previous suggestive LDL PPD linkage evidence, yielded an IR of 71 but an lod
max
=1.79 in the combined families.
Conclusions—
These results of significant evidence of linkage to 3 regions (9p, 16q, and 11q) and confirmatory support of previous reported linkage to 14q in large FCHL pedigrees demonstrate that LDL size is a trait influenced by multiple loci and illustrate the complementary use of lod score and MCMC methods in analysis of a complex trait.
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Affiliation(s)
- Michael D Badzioch
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, USA
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Young TL, Deeb SS, Ronan SM, Dewan AT, Alvear AB, Scavello GS, Paluru PC, Brott MS, Hayashi T, Holleschau AM, Benegas N, Schwartz M, Atwood LD, Oetting WS, Rosenberg T, Motulsky AG, King RA. X-linked high myopia associated with cone dysfunction. ACTA ACUST UNITED AC 2004; 122:897-908. [PMID: 15197065 DOI: 10.1001/archopht.122.6.897] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE Bornholm eye disease (BED) consists of X-linked high myopia, high cylinder, optic nerve hypoplasia, reduced electroretinographic flicker with abnormal photopic responses, and deuteranopia. The disease maps to chromosome Xq28 and is the first designated high-grade myopia locus (MYP1). We studied a second family from Minnesota with a similar X-linked phenotype, also of Danish descent. All affected males had protanopia instead of deuteranopia. METHODS X chromosome genotyping, fine-point mapping, and haplotype analysis of the DNA from 22 Minnesota family individuals (8 affected males and 5 carrier females) and 6 members of the original family with BED were performed. Haplotype comparisons and mutation screening of the red-green cone pigment gene array were performed on DNA from both kindreds. RESULTS Significant maximum logarithm of odds scores of 3.38 and 3.11 at theta = 0.0 were obtained with polymorphic microsatellite markers DXS8106 and DXYS154, respectively, in the Minnesota family. Haplotype analysis defined an interval of 34.4 cM at chromosome Xq27.3-Xq28. Affected males had a red-green pigment hybrid gene consistent with protanopia. We genotyped Xq27-28 polymorphic markers of the family with BED, and narrowed the critical interval to 6.8 cM. The haplotypes of the affected individuals were different from those of the Minnesota pedigree. Bornholm eye disease-affected individuals showed the presence of a green-red hybrid gene consistent with deuteranopia. CONCLUSIONS Because of the close geographic origin of the 2 families, we expected affected individuals to have the same haplotype in the vicinity of the same mutation. Mapping studies, however, suggested independent mutations of the same gene. The red-green and green-red hybrid genes are common X-linked color vision defects, and thus are unrelated to the high myopia and other eye abnormalities in these 2 families. CLINICAL RELEVANCE X-linked high myopia with possible cone dysfunction has been mapped to chromosome Xq28 with intervals of 34.4 and 6.8 centimorgan for 2 families of Danish origin.
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Affiliation(s)
- Terri L Young
- Department of Ophthalmology, University of Minnesota Medical School, Minneapolis, USA.
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Motulsky AG. Introductory Speech for Joan Marks**Previously presented at the annual meeting of The American Society of Human Genetics, in Los Angeles, on November 8, 2003. Am J Hum Genet 2004. [DOI: 10.1086/381719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Austin MA, Edwards KL, Monks SA, Koprowicz KM, Brunzell JD, Motulsky AG, Mahaney MC, Hixson JE. Genome-wide scan for quantitative trait loci influencing LDL size and plasma triglyceride in familial hypertriglyceridemia. J Lipid Res 2003; 44:2161-8. [PMID: 12923221 DOI: 10.1194/jlr.m300272-jlr200] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Small, dense LDLs and hypertriglyceridemia, two highly correlated and genetically influenced risk factors, are known to predict for risk of coronary heart disease. The objective of this study was to perform a whole-genome scan for linkage to LDL size and triglyceride (TG) levels in 26 kindreds with familial hypertriglyceridemia (FHTG). LDL size was estimated using gradient gel electrophoresis, and genotyping was performed for 355 autosomal markers with an average heterozygosity of 76% and an average spacing of 10.2 centimorgans (cMs). Using variance components linkage analysis, one possible linkage was found for LDL size [logarithm of odds (LOD) = 2.1] on chromosome 6, peak at 140 cM distal to marker F13A1 (closest marker D6S2436). With adjustment for TG and/or HDL cholesterol, the LOD scores were reduced, but remained in exactly the same location. For TG, LOD scores of 2.56 and 2.44 were observed at two locations on chromosome 15, with peaks at 29 and 61 cM distal to marker D15S822 (closest markers D15S643 and D15S211, respectively). These peaks were retained with adjustment for LDL size and/or HDL cholesterol. These findings, if confirmed, suggest that LDL particle size and plasma TG levels could be caused by two different genetic loci in FHTG.
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Affiliation(s)
- Melissa A Austin
- Department of Epidemiology and Institute for Public Health Genetics, School of Public Health and Community Medicine, University of Washington, Seattle, WA, USA.
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Gagnon F, Jarvik GP, Motulsky AG, Deeb SS, Brunzell JD, Wijsman EM. Evidence of linkage of HDL level variation to APOC3 in two samples with different ascertainment. Hum Genet 2003; 113:522-33. [PMID: 14569462 DOI: 10.1007/s00439-003-1006-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2003] [Accepted: 07/10/2003] [Indexed: 11/28/2022]
Abstract
The APOA1-C3-A4-A5 gene complex encodes genes whose products are implicated in the metabolism of HDL and/or triglycerides. Although the relationship between polymorphisms in this gene cluster and dyslipidemias was first reported more than 15 years ago, association and linkage results have remained inconclusive. This is due, in part, to the oligogenic and multivariate nature of dyslipidemic phenotypes. Therefore, we investigate evidence of linkage of APOC3 and HDL using two samples of dyslipidemic pedigrees: familial combined hyperlipidemia (FCHL) and isolated low-HDL (ILHDL). We used a strategy that deals with several difficulties inherent in the study of complex traits: by using a Bayesian Markov Chain Monte Carlo (MCMC) approach we allow for oligogenic trait models, as well as simultaneous incorporation of covariates, in the context of multipoint analysis. By using this approach on extended pedigrees we provide evidence of linkage of APOC3 and HDL level variation in two samples with different ascertainment. In addition to APOC3, we estimate that two to three genes, each with a substantial effect on total variance, are responsible for HDL variation in both data sets. We also provide evidence, using the FCHL data set, for a pleiotropic effect between HDL, HDL3 and triglycerides at the APOC3 locus.
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Affiliation(s)
- France Gagnon
- Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada
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Ayyobi AF, McGladdery SH, McNeely MJ, Austin MA, Motulsky AG, Brunzell JD. Small, dense LDL and elevated apolipoprotein B are the common characteristics for the three major lipid phenotypes of familial combined hyperlipidemia. Arterioscler Thromb Vasc Biol 2003; 23:1289-94. [PMID: 12750118 DOI: 10.1161/01.atv.0000077220.44620.9b] [Citation(s) in RCA: 85] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Familial combined hyperlipidemia (FCHL) is associated with variable lipid and lipoprotein phenotypes arbitrarily defined as type IIa, IIb, and IV based on plasma total cholesterol and triglyceride levels. This study sought to characterize consistent lipoprotein and lipid abnormalities across the 3 lipoprotein phenotypes in 62 patients with documented FCHL (IIa [n=14], IIb [n=19], and IV [n=29]) and 44 healthy individuals. METHODS AND RESULTS The lipoprotein cholesterol distribution was determined over 38 fractions obtained by density gradient ultracentrifugation. As expected, FCHL patients with hypertriglyceridemia (IIb and IV) had higher cholesterol levels in VLDL than IIa, whereas IIa showed higher cholesterol in the big, buoyant LDL and in HDL. LDL cholesterol was higher in IIb than IV; most of the increase in LDL cholesterol was associated with big, buoyant LDL rather than small, dense LDL (sdLDL). The differences in lipoproteins between phenotypes were attributable to changes in VLDL and big, buoyant LDL levels. Comparison of the FCHL patients with healthy individuals showed a significant elevation in plasma apolipoprotein B levels and sdLDL in all 3 FCHL phenotypes. CONCLUSIONS Although triglyceride and cholesterol levels are variable by lipoprotein phenotype, sdLDL and elevated plasma apolipoprotein B levels are consistent characteristics of FCHL shared by the 3 different lipoprotein phenotypes.
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Affiliation(s)
- Amir F Ayyobi
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Wash, USA
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Bennett RL, Motulsky AG, Bittles AH. Letter to the Editor: Reply to Becker and Morgan. J Genet Couns 2003; 11:427-8. [DOI: 10.1023/a:1016802017314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Robin L. Bennett
- ; Department of Medicine, Division of Medical Genetics; University of Washington; Seattle Washington
| | - Arno G. Motulsky
- ; Department of Medicine, Division of Medical Genetics and Department of Genome Sciences; University of Washington; Seattle Washington
| | - Alan H. Bittles
- ; Centre for Human Genetics; Edith Cowan University; Perth Australia
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Affiliation(s)
- Mary-Claire King
- Department of Medicine (Medical Genetics), University of Washington, Seattle, WA 98195, USA.
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Motulsky AG. 2001 William Allan Award Address. Introductory speech for Charles J. Epstein. Am J Hum Genet 2002; 70:297-9. [PMID: 11753823 PMCID: PMC384909 DOI: 10.1086/338916] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2001] [Accepted: 11/20/2001] [Indexed: 11/03/2022] Open
Affiliation(s)
- Arno G Motulsky
- Department of Medicine, University of Washington, Seattle, WA 98195, USA.
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McNeely MJ, Edwards KL, Marcovina SM, Brunzell JD, Motulsky AG, Austin MA. Lipoprotein and apolipoprotein abnormalities in familial combined hyperlipidemia: a 20-year prospective study. Atherosclerosis 2001; 159:471-81. [PMID: 11730829 DOI: 10.1016/s0021-9150(01)00528-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
In order to characterize the lipoprotein abnormalities in familial combined hyperlipidemia (FCHL) and to describe factors associated with the stability of the FCHL phenotype during 20-year follow-up, 287 individuals from 48 families with FCHL originally identified in the early 1970s (baseline) were studied. Hyperlipidemia was defined as lipid-lowering medication use, or > or =age- and sex-specific 90th percentile for triglycerides or cholesterol. Triglyceride, cholesterol and medical history data were obtained at baseline and 20-year follow-up. Additional follow-up measures included HDL-C, LDL-C, LDL particle size, lipoprotein(a), apolipoprotein (apo) A-I, apoB, and apoE polymorphism. Longitudinally, two-thirds of relatives were consistently normolipidemic or hyperlipidemic, and one third were discordant for hyperlipidemic status at baseline and 20-year follow-up. Individuals with hyperlipidemia at baseline and/or follow-up had higher apoB levels than those with consistently normal lipids (P<0.05), whereas small LDL size was associated with concurrent hyperlipidemia. Among individuals who were normolipidemic at baseline, the following variables were independently associated with development of hyperlipidemia over 20 years: older age at baseline, male sex, greater increase in BMI during follow-up, and apoE alleles epsilon 2 or epsilon 4. In conclusion, apoB is associated with hyperlipidemia and apoE polymorphism is associated with later onset of hyperlipidemia in FCHL.
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Affiliation(s)
- M J McNeely
- Department of Medicine, School of Medicine, University of Washington, Box 356429, Seattle, WA 98195, USA.
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Motulsky AG. Bioethical problems in pharmacogenetics and ecogenetics. Hum Genet 2001; Suppl. 1:185-92. [PMID: 11657363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
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Kim H, Marcovina SM, Edwards KL, McKnight B, Bradley CM, McNeely MJ, Psaty BM, Motulsky AG, Austin MA. Lipoprotein(a) as a risk factor for maternal cardiovascular disease mortality in kindreds with familial combined hyperlipidemia or familial hypertriglyceridemia. Clin Genet 2001; 60:188-97. [PMID: 11595020 DOI: 10.1034/j.1399-0004.2001.600304.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Most but not all epidemiologic studies have shown that lipoprotein(a) [Lp(a)] is a risk factor for cardiovascular disease (CVD). Lp(a) levels are also strongly genetically influenced. The purpose of this study was to evaluate the association between Lp(a) levels in adult offspring and parental CVD mortality in 61 kindreds with familial forms of hyperlipidemia. The study sample consisted of offspring-parent pairs in which offspring had fasting Lp(a) measurements and parents had 20-year vital status data and standardized cause-of-death classification if deceased. Linear regression analyses, using a robust variance estimator, were performed separately for 241 offspring with known maternal history (114 mothers) and 194 offspring with known paternal history (93 fathers). Maternal history of CVD mortality was significantly (p=0.004) associated with 2.4-fold higher median Lp(a) levels in offspring compared with those with no maternal history, independent of diabetes, lipid-lowering medications and hormone use. No association was observed between paternal CVD mortality and offspring Lp(a) levels (p=0.505). Adjusting for apolipoprotein(a) kringle 4 number did not alter these parent-specific associations. In conclusion, Lp(a) levels in offspring may be associated with maternal but not paternal history of CVD mortality. This parent-specific finding needs to be confirmed in other samples of high-risk families.
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Affiliation(s)
- H Kim
- Department of Epidemiology, School of Public Health and Community Medicine, University of Washington, Seattle, WA 98195, USA
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Abstract
Hemochromatosis is a common autosomal recessive condition found in the homozygous state in 1/200-1/400 people of northern-, central-, and western-European origin. It causes increased iron storage, which may lead to liver cirrhosis, liver cancer, heart disease, arthritis, and diabetes in many but not all affected adults, with a higher frequency in males. The condition is easily treated by repeated venesections without side effects but is frequently overlooked. Population screening of adults using iron indices alone or combined with DNA testing has therefore been recommended, but a consensus conference in 1997 recommended that such screening be deferred, owing to uncertainty regarding the extent of clinical disease that may develop in individuals detected by such programs. There was also concern that DNA screening results might be used for discrimination in insurance and occupational settings. Screening family members of patients with evidence of definite iron loading, however, is accepted by all observers. Because serious complications may be overlooked, a more aggressive stance toward case detection in the adult population has been advocated by some observers, realizing that unnecessary treatment might occur. Because additional information regarding the spectrum of clinical disease in homozygotes in now accumulating, a consensus conference in the near future is suggested to consider appropriate policies.
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Weber W, Nash DJ, Motulsky AG, Henneberg M, Crawford MH, Martin SK, Goldsmid JM, Spedini G, Glidewell S, Schanfield MS. Phylogenetic relationships of human populations in sub-Saharan Africa. Hum Biol 2000; 72:753-72. [PMID: 11126723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
This study utilizes the GM/KM immunoglobulin allotype system to elucidate the phylogenetic relationships of sub-Saharan Africans. The importance of understanding the relatedness of these peoples stems from the sub-Saharan region being the possible birthplace of humans. Haplotype distributions were determined for 19 populations and compared using chi-square analysis. Published data of other sub-Saharan Africans and representative populations worldwide were also added for comparison. Genetic distances between populations were calculated based on haplotype frequencies, and genetic relationships were observed through principal components analysis. Data from the GM/KM system showed a genetic homogeneity of the Bantu populations, with some exceptions, supporting the possibility of a common origin of these peoples. The Malagasy appeared as a divergent population, most likely due to Southeast Asian/Austronesian admixture, as indicated by the presence of the GM*AF B haplotype. The Cape Coloured also showed a divergence, with their genetic structures containing Caucasoid and Khoisan contributions. Finally, the Mbuti Pygmies appeared genetically isolated and had the highest frequency of the GM*A B haplotype out of all studied populations.
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Affiliation(s)
- W Weber
- University of Wisconsin-Platteville, 53818, USA
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Austin MA, McKnight B, Edwards KL, Bradley CM, McNeely MJ, Psaty BM, Brunzell JD, Motulsky AG. Cardiovascular disease mortality in familial forms of hypertriglyceridemia: A 20-year prospective study. Circulation 2000; 101:2777-82. [PMID: 10859281 DOI: 10.1161/01.cir.101.24.2777] [Citation(s) in RCA: 175] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Familial combined hyperlipidemia (FCHL) and familial hypertriglyceridemia (FHTG) are 2 of the most common familial forms of hyperlipidemia. There is a paucity of prospective data concerning the risk of cardiovascular disease (CVD) in such families. The purposes of this study were to estimate 20-year total and CVD mortality risk among relatives in these families and to evaluate plasma triglyceride as a predictor of death. METHODS AND RESULTS The study was based on lipid and medical history data from 101 families ascertained in 2 studies conducted in the early 1970s. Vital status and cause of death was determined during 1993 to 1997 for 685 family members, including first-degree relatives of the probands and spouse control subjects. Compared with spouse control subjects, 20-year CVD mortality risk was increased among siblings and offspring in FCHL (relative risk 1.7, P=0.02) after adjustment for baseline covariates. In FHTG families, the relative risk was also 1.7 but was not statistically significant (P=0.39). Baseline triglyceride was associated with increased CVD mortality risk independent of total cholesterol among relatives in FHTG families (relative risk 2.7, P=0.02) but not in FCHL families (relative risk 1.5, P=0.16) after adjustment for baseline covariates. CONCLUSIONS This prospective study establishes that relatives in FCHL families are at increased risk for CVD mortality and illustrates the need for effective prevention strategies in this group. Baseline triglyceride level predicted subsequent CVD mortality among relatives in FHTG families, adding to the growing evidence for the importance of hypertriglyceridemia as a risk factor for CVD.
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Affiliation(s)
- M A Austin
- Department of Epidemiology, School of Public Health and Community Medicine, University of Washington, Seattle 98195-7236, USA.
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Affiliation(s)
- A G Motulsky
- Department of Medicine, University of Washington, Seattle, 98195, USA.
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Edwards KL, Mahaney MC, Motulsky AG, Austin MA. Pleiotropic genetic effects on LDL size, plasma triglyceride, and HDL cholesterol in families. Arterioscler Thromb Vasc Biol 1999; 19:2456-64. [PMID: 10521376 DOI: 10.1161/01.atv.19.10.2456] [Citation(s) in RCA: 46] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The interrelationships among low density lipoprotein (LDL) particle size, plasma triglyceride (TG), and high density lipoprotein cholesterol (HDL-C) are well established and may involve underlying genetic influences. This study evaluated common genetic effects on LDL size, TG, and HDL-C by using data from 85 kindreds participating in the Genetic Epidemiology of Hypertriglyceridemia (GET) Study. A multivariate, maximum likelihood-based approach to quantitative genetic analysis was used to estimate the additive effects of shared genes and shared, unmeasured nongenetic factors on variation in LDL size and in plasma levels of TG and HDL-C. A significant (P<0.001) proportion of the variance in each trait was attributable to the additive effects of genes. Maximum-likelihood estimates of heritability were 0.34 for LDL size, 0.41 for TG, and 0.54 for HDL-C. Significant (P<0.001) additive genetic correlations (rho(G)), indicative of the shared additive effects of genes on pairs of traits, were estimated between all 3 trait pairs: for LDL size and TG rho(G)=-0.87, for LDL size and HDL-C rho(G)=0.65, and for HDL-C and TG rho(G)=-0.54. A similar pattern of significant environmental correlations between the 3 trait pairs was also observed. These results suggest that a large proportion of the well-documented correlations in LDL size, TG, and HDL-C are likely attributable to the influence of the same gene(s) in these families. That is, the gene(s) that may contribute to decreases in LDL size also contribute significantly to higher plasma levels of TG and lower plasma levels of HDL-C. These relationships may be useful in identifying genes responsible for the associations between these phenotypes and susceptibility to cardiovascular disease in these families.
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Affiliation(s)
- K L Edwards
- Department of Epidemiology, School of Public Health and Community Medicine, University of Washington, Seattle 98195, USA.
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Bennett RL, Hudgins L, Smith CO, Motulsky AG. Inconsistencies in genetic counseling and screening for consanguineous couples and their offspring: the need for practice guidelines. Genet Med 1999; 1:286-92. [PMID: 11258630 DOI: 10.1097/00125817-199909000-00007] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
PURPOSE To determine current practices of genetic counseling and screening for consanguineous couples, their pregnancies and children, and to compare these practices to recommendations in the literature. METHODS A questionnaire was mailed to 1,582 board certified genetic counselors and medical geneticists in the United States. RESULTS The return rate was 20% (n = 309). There was wide variation in the risk figures quoted to consanguineous couples to have offspring with birth defects and mental retardation (1% to 75% for incest between first-degree relatives, and 0.25% to 20% for first cousin unions). Suggested screening practices differed for consanguineous unions before conception, during pregnancy, following birth, and for children placed for adoption. Most respondents recommended screening based on ethnicity, yet disagreed as to which genetic disorders to include. CONCLUSIONS To standardize genetic services, guidelines for screening the offspring of consanguineous unions are needed. A consensus should be reached as to the empirical risks for genetic disorders, birth defects, and mental retardation that may impair the offspring of consanguineous unions, with definition as to what these disorders are, and if the data applies to global populations. Guidelines should consider costs, the sensitivity and specificity of DNA and biochemical testing, and current practices of prenatal and newborn screening. Consideration should be given to screening based on ethnicity, particularly in populations where consanguineous unions are common, while remaining sensitive to cultural belief systems. Recommendations for screening healthy children from consanguineous unions to be placed for adoption pose ethical challenges.
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Affiliation(s)
- R L Bennett
- Division of Medical Genetics, University of Washington, Seattle 98195-7720, USA
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Affiliation(s)
- A G Motulsky
- Department of Medicine, University of Washington, Seattle 98195, USA.
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Abstract
The X-linked red- and green-pigment genes are arranged in a head-to-tail tandem array. The colour-vision defect of deuteranomaly (in 5% of males of European descent) is associated with a 5'-green-red-3' visual-pigment hybrid gene, which may also exist in males with normal colour vision. To explain why males with a normal red, a normal green and a green-red hybrid gene may have either normal or deutan colour vision, we hypothesized that only the first two genes are expressed and deuteranomaly results only if the green-red hybrid gene occupies the second position and is expressed preferentially over normal green-pigment genes occupying more distal positions. We used long-range PCR amplification and studied 10 deutan males (8 deuteranomalous and 2 deuteranopic) with 3 visual pigment genes (red, green and green-red hybrid) to investigate whether position of the hybrid gene in the array determined gene expression. The green-red hybrid gene was always at the second position (and the first position was always occupied by the red gene). Conversely, in two men with red, green and green-red hybrid genes and normal colour vision, the hybrid gene occupied the third position. When pigment gene mRNA expression was assessed in post-mortem retinae of three men with the red, green and green-red genotype, the green-red hybrid gene was expressed only when located in the second position. We conclude that the green-red hybrid gene will only cause deutan defects when it occupies the second position of the pigment gene array.
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Affiliation(s)
- T Hayashi
- Department of Medicine, University of Washington, Seattle, USA
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Abstract
Many subjects despite having only a single X-linked pigment gene (single-L/M-gene subjects) are able to make chromatic discriminations by Rayleigh matching, especially when large fields are used. We used a combination of psychophysics (Rayleigh match), electroretinograms (ERG), and molecular genetic techniques to rule out several possible explanations of this phenomenon. Use of rods for chromatic discrimination was unlikely since strong adapting fields were employed and the large-field match results were not consistent with rod participation. A putative mid- to long-wavelength photopigment that escapes detection by current molecular genetic analysis was ruled out by finding only a single L/M photopigment in flicker ERGs from 16 single-L/M-gene subjects. Large-field match results were not consistent with participation of S cones. Amino acid sequence polymorphisms in the S-pigment gene that might have shifted the S cone spectrum towards longer wavelengths were not found on sequencing. The mechanism of chromatic discrimination in the presence of a single photopigment therefore remains unknown. Further possible explanations such as variations in cone pigment density and retinal inhomogeneities are discussed.
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Affiliation(s)
- M A Crognale
- Department of Psychology, University of Washington, Seattle 98195-1525, USA.
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Abstract
Earlier research on phenotype/genotype relationships in color vision has shown imperfect predictability of color matching from the photopigment spectral sensitivities inferred from molecular genetic analysis. We previously observed that not all of the genes of the X-chromosome linked photopigment gene locus are expressed in the retina. Since sequence analysis of DNA does not necessarily reveal which of the genes are expressed into photopigments, we used ERG spectral sensitivities and adaptation measurements to assess expressed photopigment complement. Many deuteranomalous subjects had L, M, and L-M hybrid genes. The ERG results showed that M pigment is not present in measurable quantities in deutan subjects. Using these results to determine gene expression improved the correlations between inferred pigment separation and color matching. Furthermore, we found a subject who had normal L and M genes and normal proximal promoter sequences, yet he had a single photopigment (M) by ERG and tested as a protanope. These results demonstrate the utility of ERG measurements in studies of molecular genetics of color vision deficiencies, and further support the conclusion that not all genes are expressed in color deficient subjects. In particular, deuteranomaly requires a presently unknown mechanism of selective expression which excludes normal M genes and allows expression of L-M hybrid genes in one cone type, and the normal L in another.
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Affiliation(s)
- M A Crognale
- Department of Psychology, University of Washington, Seattle, 98195-1525, USA.
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Burke W, Thomson E, Khoury MJ, McDonnell SM, Press N, Adams PC, Barton JC, Beutler E, Brittenham G, Buchanan A, Clayton EW, Cogswell ME, Meslin EM, Motulsky AG, Powell LW, Sigal E, Wilfond BS, Collins FS. Hereditary hemochromatosis: gene discovery and its implications for population-based screening. JAMA 1998; 280:172-8. [PMID: 9669792 DOI: 10.1001/jama.280.2.172] [Citation(s) in RCA: 191] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE To evaluate the role of genetic testing in screening for hereditary hemochromatosis to help guide clinicians, policymakers, and researchers. PARTICIPANTS An expert panel was convened on March 3, 1997, by the Centers for Disease Control and Prevention (CDC) and the National Human Genome Research Institute (NHGRI), with expertise in epidemiology, genetics, hepatology, iron overload disorders, molecular biology, public health, and the ethical, legal, and social implications surrounding the discovery and use of genetic information. EVIDENCE The group reviewed evidence regarding the clinical presentation, natural history, and genetics of hemochromatosis, including current data on the candidate gene for hemochromatosis (HFE) and on the ethical and health policy implications of genetic testing for this disorder. CONSENSUS PROCESS Consensus was achieved by group discussion confirmed by a voice vote. A draft of the consensus statement was prepared by a writing committee and subsequently reviewed and revised by all members of the expert group over a 1-year period. CONCLUSIONS Genetic testing is not recommended at this time in population-based screening for hereditary hemochromatosis, due to uncertainties about prevalence and penetrance of HFE mutations and the optimal care of asymptomatic people carrying HFE mutations. In addition, use of a genetic screening test raises concerns regarding possible stigmatization and discrimination. Tests for HFE mutations may play a role in confirming the diagnosis of hereditary hemochromatosis in persons with elevated serum iron measures, but even this use is limited by uncertainty about genotype-phenotype correlations. To address these questions, the expert group accorded high priority to population-based research to define the prevalence of HFE mutations, age and sex-related penetrance of different HFE genotypes, interactions between HFE genotypes and environmental modifiers, and psychosocial outcomes of genetic screening for hemochromatosis.
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Affiliation(s)
- W Burke
- Department of Medicine, University of Washington, Seattle 98105, USA.
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Wijsman EM, Brunzell JD, Jarvik GP, Austin MA, Motulsky AG, Deeb SS. Evidence against linkage of familial combined hyperlipidemia to the apolipoprotein AI-CIII-AIV gene complex. Arterioscler Thromb Vasc Biol 1998; 18:215-26. [PMID: 9484986 DOI: 10.1161/01.atv.18.2.215] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Familial combined hyperlipidemia (FCHL) was originally described as a disorder characterized by elevated levels of either plasma cholesterol or triglyceride (TG) or both in members ofthe same family. More recent studies have indicated that apolipoprotein B levels (apoB) are also elevated in these individuals. Although a dominant mode of inheritance was originally proposed, recent studies have questioned this simple mode of inheritance, and the genetic basis of the disorder has eluded investigators. A study that reported evidence that FCHL is linked to the apolipoprotein AI-CIII-AIV region on chromosome 11 is therefore of interest. We have attempted to replicate this finding in three large, well-characterized FCHL kindreds by using a highly polymorphic marker in the apoCIII gene. Using the same definitions and parameters as were used in the initial report, we obtained strong evidence against linkage of FCHL to the apolipoprotein AI-CIII-AIV region on chromosome 11 (combined lod score of -7.87 at 0% recombination). Two other models, one based on total cholesterol (TC) levels alone and one based on the joint distribution of TC and apoB levels, also gave evidence against linkage of FCHL to this region (lod scores at 0% recombination of -8.95 and -2.58, respectively). An additional regression-based linkage analysis also gave no support for the existence of a locus in this region that influences these lipid levels in these pedigrees. Explanations for the differences in results between these studies include genetic heterogeneity, differences in clinical phenotype used to select the pedigrees, and ascertainment bias.
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Affiliation(s)
- E M Wijsman
- Department of Medicine, School of Medicine, University of Washington, Seattle 98195-7720, USA.
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