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Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach.

Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach. Research Abstract Details 

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  • Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach. Abstract Text:

    m p johnsonM P Johnson,e fitzpatrickE Fitzpatrick,t d dyerT D Dyer,j b m jowettJ B M Jowett,s p brenneckeS P Brennecke,j blangeroJ Blangero,e k mosesE K Moses,

    Pre-eclampsia/eclampsia (PE/E) is a common and serious disorder of human pregnancy that is associated with substantial maternal and perinatal morbidity and mortality. The suspected aetiology of PE/E is complex, with susceptibility being attributable to multiple environmental factors and a large genetic component. By assuming that the underlying liability towards PE/E susceptibility is inherently quantitative, any PE/E susceptibility gene would represent a quantitative trait locus (QTL). This assumption enables a more refined and powerful variance components procedure using a threshold model for our PE/E statistical analysis. Using this more efficient linkage approach, we have now re-analysed our previously completed Australian/New Zealand genome scan data to identify two novel PE/E susceptibility QTLs on chromosomes 5q and 13q. We have obtained strong evidence of linkage on 5q with a peak logarithm-of-odds (LOD) score of 3.12 between D5S644 and D5S433 [at approximately 121 centimorgan (cM)] and strong evidence of linkage on 13q with a peak LOD score of 3.10 between D13S1265 and D13S173 (at approximately 123 cM). Objective identification and prioritization of positional candidate genes using the quantitative bioinformatics program GeneSniffer revealed highly plausible PE/E candidate genes encoding aminopeptidase enzymes and a placental peptide hormone on the 5q QTL and two type IV collagens on the 13q QTL regions, respectively.

    Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach. Publishing Authors By Initials

    mp johnsonMP Johnson,e fitzpatrickE Fitzpatrick,td dyerTD Dyer,jb jowettJB Jowett,sp brenneckeSP Brennecke,j blangeroJ Blangero,ek mosesEK Moses,

    For similar genetic phenomena: inheritance patterns: quantitative trait, heritable research abstracts see: genetic phenomena: inheritance patterns: quantitative trait, heritable research

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    Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Molecular human reproduction

    VOLUME: 13

    Page Numbers: 61-7

    Journal Abbreviation: Mol. Hum. Reprod.

    ISSN: 1360-9947

    DAY: 4

    MONTH: 11

    YEAR: 2006

    Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach. Information

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    LANGUAGE: eng

    NlmUniqueID: 9513710

    Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach. Keywords Mesh Terms:

    KEYWORDS: Quantitative Trait, Heritable

    MESH TERMS: genetics

    Chemical & Substance for Abstract: Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach. Information

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    Grant and Affiliation Information for Identification of two novel quantitative trait loci for pre-eclampsia susceptibility on chromosomes 5q and 13q using a variance components-based linkage approach.

    AFFILIATION: Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245-0549, USA. mjohnson@darwin.sfbr.org

    Country: England

    England Research PublicationEngland Research Publication

    AGENCY: United States NIMH

    GRANT: MH59490

    ACRONYM: MH

    MEDLINETA: Mol Hum Reprod

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