publication . Article . 2009

Comparison of a unified analysis approach for family and unrelated samples with the transmission-disequilibrium test to study associations of hypertension in the Framingham Heart Study

Sun, Xiangqing; Feng, Tao; Song, Yeunjoo; Elston, Robert C; Zhu, Xiaofeng;
Open Access
  • Published: 01 Dec 2009 Journal: BMC Proceedings, volume 3, page S22 (issn: 1753-6561, Copyright policy)
  • Publisher: Springer Nature
Abstract
<p>Abstract</p> <p>Population stratification is one of the major causes of spurious associations in association studies. A unified association approach based on principal-component analysis can overcome the effect of population stratification, as well as make use of both family and unrelated samples combined to increase power (family-case-control, or FamCC). In this study, we compared FamCC and the transmission-disequilibrium test (TDT) using data on hypertension, systolic blood pressure, and diastolic blood pressure in the Framingham Heart Study. Our study indicated FamCC has reasonable type I error for both the unrelated sample and the family sample for all th...
Subjects
free text keywords: General Biochemistry, Genetics and Molecular Biology, General Medicine, Population stratification, Type I and type II errors, Bioinformatics, Genetic association, Spurious relationship, Transmission disequilibrium test, Internal medicine, medicine.medical_specialty, medicine, Blood pressure, Cardiology, business.industry, business, Framingham Heart Study, R, Science, Q, Proceedings
Funded by
NIH| Fine Mapping of Hypertension Genes Detected by Admixture Mapping in the FBPP
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01HL086718-05
  • Funding stream: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
,
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
NIH| Defining an Obesity QTL on Chromosome 3q
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1R01HL074166-01A1
  • Funding stream: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
,
NIH| GENETIC ANALYSIS OF MULTIFACTORIAL TRAITS
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R37GM028356-20
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
NIH| LD Mapping Using Haplotype Block: Methods &Application
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 7R01HG003054-03
  • Funding stream: NATIONAL HUMAN GENOME RESEARCH INSTITUTE
16 references, page 1 of 2

Devlin, B, Roeder, K. Genomic control for association studies. Biometrics. 1999; 55: 997-1004 [PubMed] [DOI]

Pritchard, JK, Rosenberg, NA. Use of unlinked genetic markers to detect population stratification in association studies. Am J Hum Genet. 1999; 65: 220-228 [OpenAIRE] [PubMed] [DOI]

Pritchard, JK, Stephens, M, Rosenberg, NA, Donnelly, P. Association mapping in structured populations. Am J Hum Genet. 2000; 67: 170-181 [OpenAIRE] [PubMed] [DOI]

Chen, HS, Zhu, X, Zhao, H, Zhang, S. Qualitative semi-parametric test for genetic associations in case control designs under structured populations. Ann Hum Genet. 2003; 67: 250-264 [OpenAIRE] [PubMed] [DOI]

Zhu, X, Zhang, S, Zhao, H, Cooper, RS. Association mapping, using a mixture model for complex traits. Genet Epidemiol. 2002; 23: 181-196 [OpenAIRE] [PubMed] [DOI]

Zhang, S, Zhu, X, Zhao, H. On a semiparametric test to detect associations between quantitative traits and candidate genes using unrelated individuals. Genet Epidemiol. 2003; 24: 44-56 [OpenAIRE] [PubMed] [DOI]

Price, AL, Patterson, NJ, Plenge, RM, Weinblatt, ME, Shadick, NA, Reich, D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006; 38: 904-909 [OpenAIRE] [PubMed] [DOI]

Bauchet, M, McEvoy, B, Pearson, LN, Quillen, EE, Sarkisian, T, Hovhannesyan, K, Deka, R, Bradley, DG, Shriver, MD. Measuring European population stratification with microarray genotype data. Am J Hum Genet. 2007; 80: 948-956 [OpenAIRE] [PubMed] [DOI]

Zhu, X, Li, S, Cooper, RS, Elston, RC. A unified association analysis approach for family and unrelated samples correcting for stratification. Am J Hum Genet. 2008; 82: 352-365 [OpenAIRE] [PubMed] [DOI]

Epstein, MP, Veal, CD, Trembath, RC, Barker, JN, Li, C, Satten, GA. Genetic association analysis using data from triads and unrelated subjects. Am J Hum Genet. 2005; 76: 592-608 [OpenAIRE] [PubMed] [DOI]

Caulfield, M, Munroe, P, Pembroke, J, Samani, N, Dominiczak, A, Brown, M, Benjamin, N, Webster, J, Ratcliffe, P, O'Shea, S, Papp, J, Taylor, E, Dobson, R, Knight, J, Newhouse, S, Hooper, J, Lee, W, Brain, N, Clayton, D, Lathrop, GM, Farrall, M, Connell, J. The MRC British Genetics of Hypertension Study. Genome-wide mapping of human loci for essential hypertension. Lancet. 2003; 361: 2118-2123 [PubMed] [DOI]

Tobin, MD, Sheehan, NA, Scurrah, KJ, Burton, PR. Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure. Stat Med. 2005; 24: 2911-2935 [OpenAIRE] [PubMed] [DOI]

Rabinowitz, D, Laird, NM. A unified approach to adjusting association tests for population admixture with arbitrary pedigree structure and arbitrary missing marker information. Hum Hered. 2000; 50: 211-223 [OpenAIRE] [PubMed] [DOI]

Lake, SL, Blacker, D, Laird, NM. Family-based tests of association in the presence of linkage. Am J Hum Genet. 2000; 67: 1515-1525 [OpenAIRE] [PubMed] [DOI]

Reich, DE, Goldstein, DB. Detecting association in a case-control study while correcting for population stratification. Genet Epidemiol. 2001; 20: 4-16 [PubMed] [DOI]

16 references, page 1 of 2
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