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Titolo:
The emerging importance of genetics in epidemiologic research III. Bioinformatics and statistical genetic methods
Autore:
Ellsworth, DL; Manolio, TA;
Indirizzi:
NHLBI,thesda,idemiol & Clin Applicat, Epidemiol & Biometry Program, NIH, Be NHLBI Bethesda MD USA 20892 plicat, Epidemiol & Biometry Program, NIH, Be
Titolo Testata:
ANNALS OF EPIDEMIOLOGY
fascicolo: 4, volume: 9, anno: 1999,
pagine: 207 - 224
SICI:
1047-2797(199905)9:4<207:TEIOGI>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONVERTING-ENZYME GENE; SINGLE-NUCLEOTIDE POLYMORPHISMS; QUANTITATIVE TRAIT LOCI; DISCORDANT SIB PAIRS; LINKAGE ANALYSIS; METHYLENETETRAHYDROFOLATE REDUCTASE; ENVIRONMENTAL-INFLUENCES; CARDIOVASCULAR-DISEASE; MYOCARDIAL-INFARCTION; SEGREGATION ANALYSIS;
Keywords:
molecular epidemiology; epidemiologic methods; bioinformatics; computational biology; genetic linkage; statistical genetics;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
78
Recensione:
Indirizzi per estratti:
Indirizzo: Ellsworth, DL NHLBI,01iv Epidemiol & Clin Applicat, Epidemiol & Biometry Program, NIH, 67 NHLBI 6701 Routledge Dr,MSC 7934 Bethesda MD USA 20892 H, 67
Citazione:
D.L. Ellsworth e T.A. Manolio, "The emerging importance of genetics in epidemiologic research III. Bioinformatics and statistical genetic methods", ANN EPIDEMI, 9(4), 1999, pp. 207-224

Abstract

PURPOSE: To outline potential benefits of integrating recent developments in bioinformatics and statistical genetics with traditional epidemiologic studies to localize genes influencing complex phenotypes and examine geneticeffects on disease susceptibility. METHODS: An overview of bioinformatic and statistical approaches for localizing disease-susceptibility genes as well as challenges associated with identifying functional DNA variants and context-dependent genetic effects concludes this three-part series on the importance of genetics in epidemiologic research. RESULTS: Rapidly evolving bioinformatic and statistical methods are providing invaluable information on newly-discovered genes and molecular variation influencing human diseases that is readily available to epidemiologic researchers. CONCLUSIONS: Integrating bioinformatics and molecular biotechnology with epidemiologic methods of assessing disease risk is rapidly expanding our ability to identify genetic influences on complex human diseases. These technological advances are likely to have a profound impact on current knowledge of complex disease etiology, and may reveal novel approaches to disease treatment and prevention.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 10:08:08