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Erschienen in: BMC Proceedings 7/2016

Open Access 01.10.2016 | Proceedings

Identity-by-descent mapping for diastolic blood pressure in unrelated Mexican Americans

verfasst von: Xiao-Qing Liu, Jillian Fazio, Pingzhao Hu, Andrew D. Paterson

Erschienen in: BMC Proceedings | Sonderheft 7/2016

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Abstract

Population-based identity by descent (IBD) mapping is a statistical method for detection of genetic loci that share an ancestral segment among “unrelated” pairs of individuals for a disease. As a complementary method to genome-wide association studies, IBD mapping is robust to allelic heterogeneity and may identify rare inherited variants when combined with sequence data.
Our objective is to identify the causal genes for diastolic blood pressure (DBP). We applied a population-based IBD mapping method to 105 unrelated individuals selected from the family data provided for the Genetic Analysis Workshop 19. Using the genome-wide association study data (ie, the microarray data), chromosome 3 was scanned for IBD sharing segments among all pairs of these individuals. At the chromosomal region with the most significant relationship between IBD sharing and DBP, the whole genome sequence data were examined to identify the risk variants for DBP.
The most significant chromosomal region that was identified to have a relationship between the IBD sharing and DBP was at 3q12.3 (p = 0.0016), although it did not achieve the chromosome-wide significance level (p = 0.00012). This chromosomal region contains 1 gene, ZPLD1, which has been reported to be associated with cerebral cavernous malformations, a disease with enlarged small blood vessels (capillaries) in the brain. Although 24 deleterious variants were identified at this region, no significant association was found between these variants and DBP (p = 0.40).
We presented a mapping strategy which combined a population-based IBD mapping method with sequence data analyses. One gene was located at a chromosomal region identified by this method for DBP. However, further study with a large sample size is needed to assess this result.
Literatur
1.
Zurück zum Zitat MacArthur DG, Balasubramanian S, Frankish A, Huang N, Morris J, Walter K, Jostins L, Habegger L, Pickrell JK, Montgomery SB, et al. A systematic survey of loss-of-function variants in human protein-coding genes. Science. 2012;335(6070):823–8.CrossRefPubMedPubMedCentral MacArthur DG, Balasubramanian S, Frankish A, Huang N, Morris J, Walter K, Jostins L, Habegger L, Pickrell JK, Montgomery SB, et al. A systematic survey of loss-of-function variants in human protein-coding genes. Science. 2012;335(6070):823–8.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Zelinski T, Coghlan G, Liu XQ, Reid ME. ABCG2 null alleles define the Jr(a-) blood group phenotype. Nat Genet. 2012;44(2):131–2.CrossRefPubMed Zelinski T, Coghlan G, Liu XQ, Reid ME. ABCG2 null alleles define the Jr(a-) blood group phenotype. Nat Genet. 2012;44(2):131–2.CrossRefPubMed
3.
4.
Zurück zum Zitat Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.CrossRefPubMedPubMedCentral Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Gusev A, Kenny EE, Lowe JK, Salit J, Saxena R, Kathiresan S, Altshuler DM, Friedman JM, Breslow JL, Pe'er I. DASH: a method for identical-by-descent haplotype mapping uncovers association with recent variation. Am J Hum Genet. 2011;88(6):706–17.CrossRefPubMedPubMedCentral Gusev A, Kenny EE, Lowe JK, Salit J, Saxena R, Kathiresan S, Altshuler DM, Friedman JM, Breslow JL, Pe'er I. DASH: a method for identical-by-descent haplotype mapping uncovers association with recent variation. Am J Hum Genet. 2011;88(6):706–17.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Browning BL, Browning SR. Improving the accuracy and efficiency of identity-by-descent detection in population data. Genetics. 2013;194(2):459–71.CrossRefPubMedPubMedCentral Browning BL, Browning SR. Improving the accuracy and efficiency of identity-by-descent detection in population data. Genetics. 2013;194(2):459–71.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Hochreiter S. HapFABIA: identification of very short segments of identity by descent characterized by rare variants in large sequencing data. Nucleic Acids Res. 2013;41(22):e202.CrossRefPubMedPubMedCentral Hochreiter S. HapFABIA: identification of very short segments of identity by descent characterized by rare variants in large sequencing data. Nucleic Acids Res. 2013;41(22):e202.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Goldstein DB, Allen A, Keebler J, Margulies EH, Petrou S, Petrovski S, Sunyaev S. Sequencing studies in human genetics: design and interpretation. Nat Rev Genet. 2013;14(7):460–70.CrossRefPubMedPubMedCentral Goldstein DB, Allen A, Keebler J, Margulies EH, Petrou S, Petrovski S, Sunyaev S. Sequencing studies in human genetics: design and interpretation. Nat Rev Genet. 2013;14(7):460–70.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Francks C, Tozzi F, Farmer A, Vincent JB, Rujescu D, St Clair D, Muglia P. Population-based linkage analysis of schizophrenia and bipolar case-control cohorts identifies a potential susceptibility locus on 19q13. Mol Psychiatry. 2010;15(3):319–25.CrossRefPubMed Francks C, Tozzi F, Farmer A, Vincent JB, Rujescu D, St Clair D, Muglia P. Population-based linkage analysis of schizophrenia and bipolar case-control cohorts identifies a potential susceptibility locus on 19q13. Mol Psychiatry. 2010;15(3):319–25.CrossRefPubMed
10.
Zurück zum Zitat Browning SR, Thompson EA. Detecting rare variant associations by identity-by-descent mapping in case-control studies. Genetics. 2012;190(4):1521–31.CrossRefPubMedPubMedCentral Browning SR, Thompson EA. Detecting rare variant associations by identity-by-descent mapping in case-control studies. Genetics. 2012;190(4):1521–31.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Lin R, Charlesworth J, Stankovich J, Perreau VM, Brown MA, Taylor BV, ANZgene Consortium. Identity-by-descent mapping to detect rare variants conferring susceptibility to multiple sclerosis. PLoS One. 2013;8(3):e56379.CrossRefPubMedPubMedCentral Lin R, Charlesworth J, Stankovich J, Perreau VM, Brown MA, Taylor BV, ANZgene Consortium. Identity-by-descent mapping to detect rare variants conferring susceptibility to multiple sclerosis. PLoS One. 2013;8(3):e56379.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Sham PC, Cherny SS, Purcell S. Application of genome-wide SNP data for uncovering pairwise relationships and quantitative trait loci. Genetica. 2009;136(2):237–43.CrossRefPubMed Sham PC, Cherny SS, Purcell S. Application of genome-wide SNP data for uncovering pairwise relationships and quantitative trait loci. Genetica. 2009;136(2):237–43.CrossRefPubMed
13.
Zurück zum Zitat Cui JS, Hopper JL, Harrap SB. Antihypertensive treatments obscure familial contributions to blood pressure variation. Hypertension. 2003;41(2):207–10.CrossRefPubMed Cui JS, Hopper JL, Harrap SB. Antihypertensive treatments obscure familial contributions to blood pressure variation. Hypertension. 2003;41(2):207–10.CrossRefPubMed
16.
Zurück zum Zitat Forrest WF. Weighting improves the “new Haseman-Elston” method. Hum Hered. 2001;52(1):47–54.CrossRefPubMed Forrest WF. Weighting improves the “new Haseman-Elston” method. Hum Hered. 2001;52(1):47–54.CrossRefPubMed
17.
18.
Zurück zum Zitat Kircher M, Witten DM, Jain P, O'Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet. 2014;46(3):310–5.CrossRefPubMedPubMedCentral Kircher M, Witten DM, Jain P, O'Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet. 2014;46(3):310–5.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Lee S, Emond MJ, Bamshad MJ, Barnes KC, Rieder MJ, Nickerson DA, Christiani DC, Wurfel MM, Lin X, NHLBI GO Exome Sequencing Project—ESP Lung Project Team. Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. Am J Hum Genet. 2012;91(2):224–37.CrossRefPubMedPubMedCentral Lee S, Emond MJ, Bamshad MJ, Barnes KC, Rieder MJ, Nickerson DA, Christiani DC, Wurfel MM, Lin X, NHLBI GO Exome Sequencing Project—ESP Lung Project Team. Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. Am J Hum Genet. 2012;91(2):224–37.CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Gianfrancesco F, Esposito T, Penco S, Maglione V, Liquori CL, Patrosso MC, Zuffardi O, Ciccodicola A, Marchuk DA, Squitieri F. ZPLD1 gene is disrupted in a patient with balanced translocation that exhibits cerebral cavernous malformations. Neuroscience. 2008;155(2):345–9.CrossRefPubMed Gianfrancesco F, Esposito T, Penco S, Maglione V, Liquori CL, Patrosso MC, Zuffardi O, Ciccodicola A, Marchuk DA, Squitieri F. ZPLD1 gene is disrupted in a patient with balanced translocation that exhibits cerebral cavernous malformations. Neuroscience. 2008;155(2):345–9.CrossRefPubMed
21.
Zurück zum Zitat Bonner A, Neupane B, Beyene J. Testing for associations between systolic blood pressure and single-nucleotide polymorphism profiles obtained from sparse principal component analysis. BMC Proc. 2014;8(Suppl 1):S95.CrossRefPubMedPubMedCentral Bonner A, Neupane B, Beyene J. Testing for associations between systolic blood pressure and single-nucleotide polymorphism profiles obtained from sparse principal component analysis. BMC Proc. 2014;8(Suppl 1):S95.CrossRefPubMedPubMedCentral
Metadaten
Titel
Identity-by-descent mapping for diastolic blood pressure in unrelated Mexican Americans
verfasst von
Xiao-Qing Liu
Jillian Fazio
Pingzhao Hu
Andrew D. Paterson
Publikationsdatum
01.10.2016
Verlag
BioMed Central
Erschienen in
BMC Proceedings / Ausgabe Sonderheft 7/2016
Elektronische ISSN: 1753-6561
DOI
https://doi.org/10.1186/s12919-016-0041-x

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