Literature DB >> 11122697

Genetic markers to predict polygenic disease.

D J Galton1.   

Abstract

Many genetic markers that relate to common multifactorial disease in adults have been identified during the past 15 years. Their use as adjuncts for the diagnosis, prognosis, prediction of disease or targeting therapy for these disorders has commenced; good examples being the Factor V Leiden mutation for venous-thromboembolism, lipoprotein lipase mutations for hypertriglyceridemia and the apolipoprotein E4 variant for Alzheimer's dementia. However, extensive gene-gene interactions and gene-environment interactions make their use more complex than markers for the simpler monogenic disorders (eg, cystic fibrosis, or Duchennne's muscular dystrophy). Possible misapplications of the use of genetic markers for multifactorial disease are discussed.

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Year:  1999        PMID: 11122697     DOI: 10.1007/s11883-999-0004-z

Source DB:  PubMed          Journal:  Curr Atheroscler Rep        ISSN: 1523-3804            Impact factor:   5.113


  17 in total

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Authors:  J D Schulman; R G Edwards
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Authors:  D J Galton; G A Ferns
Journal:  QJM       Date:  1999-04

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Review 5.  Genetic basis of lipoprotein disorders.

Authors:  M Dammerman; J L Breslow
Journal:  Circulation       Date:  1995-01-15       Impact factor: 29.690

6.  Preimplantation diagnosis.

Authors:  J D Delhanty; A H Handyside; R M Winston
Journal:  Lancet       Date:  1994-06-18       Impact factor: 79.321

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Journal:  Cold Spring Harb Symp Quant Biol       Date:  1986

8.  Crystal structure of a p53 tumor suppressor-DNA complex: understanding tumorigenic mutations.

Authors:  Y Cho; S Gorina; P D Jeffrey; N P Pavletich
Journal:  Science       Date:  1994-07-15       Impact factor: 47.728

9.  Comparison of lipid-lowering effects of low-dose fluvastatin and conventional-dose gemfibrozil in patients with primary hypercholesterolemia.

Authors:  D J Betteridge; P N Durrington; G J Fairhurst; G Jackson; M S McEwan; G T McInnes; J P Miller; M A Mir; J P Reckless; D I Rees-Jones
Journal:  Am J Med       Date:  1994-06-06       Impact factor: 4.965

Review 10.  Analysis of angiographic trial data in women.

Authors:  R J Havel
Journal:  Drugs       Date:  1994       Impact factor: 9.546

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