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Genetics of Cardiovascular Disease in Minority Populations

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Genome Mapping and Genomics in Human and Non-Human Primates

Part of the book series: Genome Mapping and Genomics in Animals ((MAPPANIMAL,volume 5))

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Abstract

Cardiovascular disease (CVD) is a growing health problem in many minority populations , including Mexican Americans , American Indians , and Alaskan Eskimos . In studies of extended families in these three populations, our goal is to identify genetic factors that influence risk of CVD and related traits and to understand the interactions of genes with environmental factors. Many CVD risk factors have been shown to be significantly heritable, and linkage analyses have identified chromosomal regions that harbor quantitative trait loci (QTLs) influencing CVD risk. Genetic correlations and genotype x environment interactions have been demonstrated for numerous phenotypes related to CVD. Fine mapping using single nucleotide polymorphisms (SNPs) is being done in chromosomal regions with high LOD scores for specific disease risk factors. Exomes and whole genomes are being sequenced, and efforts are underway to identify the relevant functional genes using genome-wide association , transcriptomic analysis , and other approaches.

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Acknowledgments

We wish to thank the participants in the San Antonio Family Heart Study, the Strong Heart Study, and GOCADAN for their generosity and for their interest in helping us as we attempt to help solve their health problems. We also wish to acknowledge the investigators, field staff, and scientific staff of these three projects, and the National Heart, Lung, and Blood Institute for providing the funding for our studies through grants P01 HL045522 (San Antonio Family Heart Study), U01 HL065529 (Strong Heart Family Study), and U01 HL082490 (GOCADAN). We also acknowledge the Fredric C. Bartter General Clinical Research Center, supported by M01-RR01346, which provided ongoing clinical support to the San Antonio Family Heart Study. At Texas Biomed, these studies were conducted in facilities constructed with support from the Research Facilities Improvement Program Grant nos. C06 RR013556 and C06 RR017515 from the National Center for Research Resources, National Institutes of Health. The AT&T Genomics Computing Center supercomputing facilities used for statistical genetic analyses were supported in part by a gift from the SBC Foundation. The statistical genetics computer package, SOLAR, is supported by grant R01 MH059490 from the National Institute of Mental Health. The opinions expressed in this paper are those of the authors and do not necessarily reflect the views of the Indian Health Service.

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Authors and Affiliations

  1. Department of Genetics, Texas Biomedical Research Institute, 7620 NW Loop 410, PO Box 760549, San Antonio, TX, 78227, USA

    Jean W. MacCluer, Anthony G. Comuzzie & Shelley A. Cole

  2. Norton Sound Health Corporation, PO Box 966, Nome, AK, 99762, USA

    Sven O. E. Ebbesson

  3. MedStar Research Institute, 100 Irving Street NW, Washington, DC, 20010, USA

    Barbara V. Howard

  4. South Texas Diabetes and Obesity Institute, Regional Academic Health Center, University of Texas Health Science Center, 2102 Treasure Hills Blvd Harlingen, San Antonio, TX, 78550, USA

    John Blangero

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  1. Jean W. MacCluer
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  2. John Blangero
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  3. Anthony G. Comuzzie
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  4. Sven O. E. Ebbesson
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  5. Barbara V. Howard
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  6. Shelley A. Cole
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Correspondence to Jean W. MacCluer .

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Editors and Affiliations

  1. South Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio, Edinburg, Texas, USA

    Ravindranath Duggirala

  2. South Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA

    Laura Almasy

  3. South Texas Diabetes and Obesity Institute, Brownsville, Texas, USA

    Sarah Williams-Blangero

  4. Faculty of Biomedical Sciences, Technology & Research, Sri Ramachandra University, Chennai, India

    Solomon F.D. Paul

  5. Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India

    Chittaranjan Kole

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MacCluer, J.W., Blangero, J., Comuzzie, A.G., Ebbesson, S.O.E., Howard, B.V., Cole, S.A. (2015). Genetics of Cardiovascular Disease in Minority Populations. In: Duggirala, R., Almasy, L., Williams-Blangero, S., Paul, S., Kole, C. (eds) Genome Mapping and Genomics in Human and Non-Human Primates. Genome Mapping and Genomics in Animals, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46306-2_11

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