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Volumn 41, Issue 5, 2012, Pages 1383-1393

The effect of non-differential measurement error on bias, precision and power in Mendelian randomization studies

Author keywords

Bias; Causal inference; Instrumental variable analysis; Measurement error; Mendelian randomization; Power; Two stage least squares regression

Indexed keywords

CALIBRATION; DISCRIMINANT ANALYSIS; ERROR ANALYSIS; REGRESSION ANALYSIS;

EID: 84867606063     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dys141     Document Type: Article
Times cited : (52)

References (49)
  • 1
    • 40849083720 scopus 로고    scopus 로고
    • Mendelian randomization: using genes as instruments for making causal inferences in epidemiology
    • Lawlor DA, Harbord RM, Sterne JA, Timpson N, Davey Smith G. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat Med 2008;27:1133-63.
    • (2008) Stat Med , vol.27 , pp. 1133-1163
    • Lawlor, D.A.1    Harbord, R.M.2    Sterne, J.A.3    Timpson, N.4    Davey Smith, G.5
  • 2
    • 34547682094 scopus 로고    scopus 로고
    • Mendelian randomization as an instrumental variable approach to causal inference
    • Didelez V, Sheehan N. Mendelian randomization as an instrumental variable approach to causal inference. Stat Methods Med Res 2007;16:309-30.
    • (2007) Stat Methods Med Res , vol.16 , pp. 309-330
    • Didelez, V.1    Sheehan, N.2
  • 4
    • 57549090341 scopus 로고    scopus 로고
    • Accounting for ancestry: population substructure and genome-wide association studies
    • Tian C, Gregersen PK, Seldin MF. Accounting for ancestry: population substructure and genome-wide association studies. Hum Mol Genet 2008;17:R143-50.
    • (2008) Hum Mol Genet , vol.17
    • Tian, C.1    Gregersen, P.K.2    Seldin, M.F.3
  • 5
    • 67650108558 scopus 로고    scopus 로고
    • Comparison of identical single nucleotide polymorphisms genotyped by the GeneChip Targeted Genotyping 25 K, Affymetrix 500K and Illumina 550K platforms
    • Kim KK, Won HH, Cho SS et al. Comparison of identical single nucleotide polymorphisms genotyped by the GeneChip Targeted Genotyping 25 K, Affymetrix 500K and Illumina 550K platforms. Genomics 2009;94: 89-93.
    • (2009) Genomics , vol.94 , pp. 89-93
    • Kim, K.K.1    Won, H.H.2    Cho, S.S.3
  • 6
    • 79953165427 scopus 로고    scopus 로고
    • Quality control procedures for genome-wide association studies
    • Chapter 1:Unit1.19
    • Turner S, Armstrong LL, Bradford Y et al. Quality control procedures for genome-wide association studies. Curr Protoc Hum Genet 2011. Chapter 1:Unit1.19.
    • (2011) Curr Protoc Hum Genet
    • Turner, S.1    Armstrong, L.L.2    Bradford, Y.3
  • 7
    • 0002965815 scopus 로고
    • The proof and measurement of association between two things
    • Spearman C. The proof and measurement of association between two things. Am J Psychol 1904;15:72-101.
    • (1904) Am J Psychol , vol.15 , pp. 72-101
    • Spearman, C.1
  • 8
    • 8944251637 scopus 로고    scopus 로고
    • Inflation in epidemiology: "the proof and measurement of association between two things" revisited
    • Davey Smith G, Phillips AN. Inflation in epidemiology: "the proof and measurement of association between two things" revisited. BMJ 1996;312:1659-61.
    • (1996) BMJ , vol.312 , pp. 1659-1661
    • Davey Smith, G.1    Phillips, A.N.2
  • 9
    • 0037372624 scopus 로고    scopus 로고
    • Design and interpretation of studies of differential exposure measurement error
    • White E. Design and interpretation of studies of differential exposure measurement error. Am J Epidemiol 2003; 157:380-87.
    • (2003) Am J Epidemiol , vol.157 , pp. 380-387
    • White, E.1
  • 11
    • 77950910251 scopus 로고    scopus 로고
    • Usefulness of Mendelian randomization in observational epidemiology
    • Bochud M, Rousson V. Usefulness of Mendelian randomization in observational epidemiology. Int J Environ Res Public Health 2010;7:711-28.
    • (2010) Int J Environ Res Public Health , vol.7 , pp. 711-728
    • Bochud, M.1    Rousson, V.2
  • 12
    • 59149105634 scopus 로고    scopus 로고
    • A supersized list of obesity genes
    • Hofker M, Wijmenga C. A supersized list of obesity genes. Nat Genet 2009;41:139-40.
    • (2009) Nat Genet , vol.41 , pp. 139-140
    • Hofker, M.1    Wijmenga, C.2
  • 13
    • 77955505564 scopus 로고    scopus 로고
    • Biological, clinical and population relevance of 95 loci for blood lipids
    • Teslovich TM, Musunuru K, Smith AV et al. Biological, clinical and population relevance of 95 loci for blood lipids. Nature 2010;466:707-13.
    • (2010) Nature , vol.466 , pp. 707-713
    • Teslovich, T.M.1    Musunuru, K.2    Smith, A.V.3
  • 14
    • 79952069515 scopus 로고    scopus 로고
    • Meta-analysis of genome-wide association studies in480 000 subjects identifies multiple loci for C-reactive protein levels
    • Dehghan A, Dupuis J, Barbalic M et al. Meta-analysis of genome-wide association studies in480 000 subjects identifies multiple loci for C-reactive protein levels. Circulation 2011;123:731-38.
    • (2011) Circulation , vol.123 , pp. 731-738
    • Dehghan, A.1    Dupuis, J.2    Barbalic, M.3
  • 16
    • 0030971489 scopus 로고    scopus 로고
    • Regression calibration method for correcting measurement-error bias in nutritional epidemiology
    • Spiegelman D, McDermott A, Rosner B. Regression calibration method for correcting measurement-error bias in nutritional epidemiology. Am J Clin Nutr 1997;65(Suppl 4):1179S-86S.
    • (1997) Am J Clin Nutr , vol.65 , Issue.SUPPL. 4
    • Spiegelman, D.1    McDermott, A.2    Rosner, B.3
  • 17
    • 0003804002 scopus 로고
    • Measurement Error in Nonlinear Models
    • London: Chapman & Hall
    • Carroll RJ, Ruppert D, Stefanski LA. Measurement Error in Nonlinear Models. London: Chapman & Hall, 1995.
    • (1995)
    • Carroll, R.J.1    Ruppert, D.2    Stefanski, L.A.3
  • 18
    • 85101432319 scopus 로고
    • Structural Equations with Latent Variables
    • New York: Wiley
    • Bollen K. Structural Equations with Latent Variables. New York: Wiley, 1989.
    • (1989)
    • Bollen, K.1
  • 20
    • 53349140946 scopus 로고    scopus 로고
    • Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses
    • Palmer TM, Thompson JR, Tobin MD, Sheehan NA, Burton PR. Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses. Int J Epidemiol 2008;37:1161-68.
    • (2008) Int J Epidemiol , vol.37 , pp. 1161-1168
    • Palmer, T.M.1    Thompson, J.R.2    Tobin, M.D.3    Sheehan, N.A.4    Burton, P.R.5
  • 21
    • 59649102811 scopus 로고    scopus 로고
    • Instrumental variable analysis for estimation of treatment effects with dichotomous outcomes
    • Rassen JA, Schneeweiss S, Glynn RJ, Mittleman MA, Brookhart MA. Instrumental variable analysis for estimation of treatment effects with dichotomous outcomes. Am J Epidemiol 2009;169:273-84.
    • (2009) Am J Epidemiol , vol.169 , pp. 273-284
    • Rassen, J.A.1    Schneeweiss, S.2    Glynn, R.J.3    Mittleman, M.A.4    Brookhart, M.A.5
  • 22
    • 79951693616 scopus 로고    scopus 로고
    • Mendelian randomization analysis of case-control data using structural mean models
    • Bowden J, Vansteelandt S. Mendelian randomization analysis of case-control data using structural mean models. Stat Med 2011;30:678-94.
    • (2011) Stat Med , vol.30 , pp. 678-694
    • Bowden, J.1    Vansteelandt, S.2
  • 23
    • 85066989975 scopus 로고    scopus 로고
    • Instrumental variables and GMM: estimation and testing
    • Baum CF, Schaffer ME, Stillman S. Instrumental variables and GMM: estimation and testing. Stata J 2003;3:1-31.
    • (2003) Stata J , vol.3 , pp. 1-31
    • Baum, C.F.1    Schaffer, M.E.2    Stillman, S.3
  • 24
    • 79961185600 scopus 로고    scopus 로고
    • Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants
    • Pierce BL, Ahsan H, Vanderweele TJ. Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants. Int J Epidemiol 2011;40:740-52.
    • (2011) Int J Epidemiol , vol.40 , pp. 740-752
    • Pierce, B.L.1    Ahsan, H.2    Vanderweele, T.J.3
  • 25
    • 0039740109 scopus 로고    scopus 로고
    • Mismeasured variables in econometric anlaysis: problems from the right and problems from the left
    • Hausman J. Mismeasured variables in econometric anlaysis: problems from the right and problems from the left. J Econ Perspect 2001;15:57-67.
    • (2001) J Econ Perspect , vol.15 , pp. 57-67
    • Hausman, J.1
  • 26
    • 1942436221 scopus 로고    scopus 로고
    • Mendelian randomization: prospects, potentials, and limitations
    • Davey Smith G, Ebrahim S. Mendelian randomization: prospects, potentials, and limitations. Int J Epidemiol 2004;33:30-42.
    • (2004) Int J Epidemiol , vol.33 , pp. 30-42
    • Davey Smith, G.1    Ebrahim, S.2
  • 27
    • 52949135179 scopus 로고    scopus 로고
    • Strengthening causal inference in cardiovascular epidemiology through Mendelian randomization
    • Davey Smith G, Timpson N, Ebrahim S. Strengthening causal inference in cardiovascular epidemiology through Mendelian randomization. Ann Med 2008;40:524-41.
    • (2008) Ann Med , vol.40 , pp. 524-541
    • Davey Smith, G.1    Timpson, N.2    Ebrahim, S.3
  • 28
    • 79955576466 scopus 로고    scopus 로고
    • Bias in causal estimates from Mendelian randomization studies with weak instruments
    • Burgess S, Thompson SG. Bias in causal estimates from Mendelian randomization studies with weak instruments. Stat Med 2011;30:1312-23.
    • (2011) Stat Med , vol.30 , pp. 1312-1323
    • Burgess, S.1    Thompson, S.G.2
  • 29
    • 0025358244 scopus 로고
    • The effects of sensitivity and specificity of case selection on validity, sample size, precision, and power in hospital-based case-control studies
    • Brenner H, Savitz DA. The effects of sensitivity and specificity of case selection on validity, sample size, precision, and power in hospital-based case-control studies. Am J Epidemiol 1990;132:181-92.
    • (1990) Am J Epidemiol , vol.132 , pp. 181-192
    • Brenner, H.1    Savitz, D.A.2
  • 30
    • 49549086887 scopus 로고    scopus 로고
    • BMI-related errors in the measurement of obesity
    • Rothman KJ. BMI-related errors in the measurement of obesity. Int J Obes (Lond) 2008;32(Suppl 3):S56-59.
    • (2008) Int J Obes (Lond) , vol.32 , Issue.SUPPL. 3
    • Rothman, K.J.1
  • 31
    • 0035028120 scopus 로고    scopus 로고
    • Self-reported weight and height: implications for obesity research
    • Nawaz H, Chan W, Abdulrahman M, Larson D, Katz DL. Self-reported weight and height: implications for obesity research. Am J Prev Med 2001;20:294-98.
    • (2001) Am J Prev Med , vol.20 , pp. 294-298
    • Nawaz, H.1    Chan, W.2    Abdulrahman, M.3    Larson, D.4    Katz, D.L.5
  • 32
    • 0038012549 scopus 로고    scopus 로고
    • Biological sample collection and processing for molecular epidemiological studies
    • Holland NT, Smith MT, Eskenazi B, Bastaki M. Biological sample collection and processing for molecular epidemiological studies. Mutat Res 2003;543:217-34.
    • (2003) Mutat Res , vol.543 , pp. 217-234
    • Holland, N.T.1    Smith, M.T.2    Eskenazi, B.3    Bastaki, M.4
  • 33
    • 58549118852 scopus 로고    scopus 로고
    • Principles of Exposure Measurement in Epidemiology
    • 2nd edn. New York: Oxford University Press
    • White E, Armstrong BK, Saracci R. Principles of Exposure Measurement in Epidemiology. 2nd edn. New York: Oxford University Press, 2008.
    • (2008)
    • White, E.1    Armstrong, B.K.2    Saracci, R.3
  • 34
    • 84921763923 scopus 로고    scopus 로고
    • Nutritional Epidemiology
    • 2nd edn. New York: Oxford University Press
    • Willett W. Nutritional Epidemiology. 2nd edn. New York: Oxford University Press, 1998.
    • (1998)
    • Willett, W.1
  • 35
    • 33746060488 scopus 로고    scopus 로고
    • Use of biomarkers in epidemiologic studies: minimizing the influence of measurement error in the study design and analysis
    • Tworoger SS, Hankinson SE. Use of biomarkers in epidemiologic studies: minimizing the influence of measurement error in the study design and analysis. Cancer Causes Control 2006;17:889-99.
    • (2006) Cancer Causes Control , vol.17 , pp. 889-899
    • Tworoger, S.S.1    Hankinson, S.E.2
  • 37
    • 0033456278 scopus 로고    scopus 로고
    • Reproducibility of plasma and urinary sex hormone levels in premenopausal women over a one-year period
    • Michaud DS, Manson JE, Spiegelman D et al. Reproducibility of plasma and urinary sex hormone levels in premenopausal women over a one-year period. Cancer Epidemiol Biomarkers Prev 1999;8:1059-64.
    • (1999) Cancer Epidemiol Biomarkers Prev , vol.8 , pp. 1059-1064
    • Michaud, D.S.1    Manson, J.E.2    Spiegelman, D.3
  • 38
    • 77953886022 scopus 로고    scopus 로고
    • Opening the black box of biomarker measurement error
    • Schisterman EF, Little RJ. Opening the black box of biomarker measurement error. Epidemiology 2010;21(Suppl 4):S1-S3.
    • (2010) Epidemiology , vol.21 , Issue.SUPPL. 4
    • Schisterman, E.F.1    Little, R.J.2
  • 39
    • 79955618781 scopus 로고    scopus 로고
    • Genome-wide association analysis of soluble ICAM-1 concentration reveals novel associations at the NFKBIK, PNPLA3, RELA, and SH2B3 loci
    • Pare G, Ridker PM, Rose L et al. Genome-wide association analysis of soluble ICAM-1 concentration reveals novel associations at the NFKBIK, PNPLA3, RELA, and SH2B3 loci. PLoS Genet 2011;7:e1001374.
    • (2011) PLoS Genet , vol.7
    • Pare, G.1    Ridker, P.M.2    Rose, L.3
  • 40
    • 77952510546 scopus 로고    scopus 로고
    • Genetic variants in ABO blood group region, plasma soluble E-selectin levels and risk of type 2 diabetes
    • Qi L, Cornelis MC, Kraft P et al. Genetic variants in ABO blood group region, plasma soluble E-selectin levels and risk of type 2 diabetes. Hum Mol Genet 2010; 19:1856-62.
    • (2010) Hum Mol Genet , vol.19 , pp. 1856-1862
    • Qi, L.1    Cornelis, M.C.2    Kraft, P.3
  • 41
    • 77957778209 scopus 로고    scopus 로고
    • Assumptions of IV methods for observational epidemiology
    • Didelez V, Meng S, Sheehan NA. Assumptions of IV methods for observational epidemiology. Stat Sci 2010; 25:22-40.
    • (2010) Stat Sci , vol.25 , pp. 22-40
    • Didelez, V.1    Meng, S.2    Sheehan, N.A.3
  • 42
    • 79961199881 scopus 로고    scopus 로고
    • Commentary: can 'many weak' instruments ever be 'strong'?
    • Sheehan NA, Didelez V. Commentary: can 'many weak' instruments ever be 'strong'? Int J Epidemiol 2011;40: 752-54.
    • (2011) Int J Epidemiol , vol.40 , pp. 752-754
    • Sheehan, N.A.1    Didelez, V.2
  • 43
    • 79958753488 scopus 로고    scopus 로고
    • Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias
    • Cai B, Small DS, Have TR. Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias. Stat Med 2011;30:1809-24.
    • (2011) Stat Med , vol.30 , pp. 1809-1824
    • Cai, B.1    Small, D.S.2    Have, T.R.3
  • 44
    • 43549116852 scopus 로고    scopus 로고
    • Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling
    • Terza JV, Basu A, Rathouz PJ. Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling. J Health Econ 2008;27:531-43.
    • (2008) J Health Econ , vol.27 , pp. 531-543
    • Terza, J.V.1    Basu, A.2    Rathouz, P.J.3
  • 45
    • 25844483844 scopus 로고    scopus 로고
    • Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models
    • Robins JM, Rotnitzky A. Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models. Biometrika 2004;91:763-83.
    • (2004) Biometrika , vol.91 , pp. 763-783
    • Robins, J.M.1    Rotnitzky, A.2
  • 46
    • 34249096484 scopus 로고    scopus 로고
    • Estimation of treatment effects in randomized trials with noncompliance and a dichotomous outcome
    • van der Laan MJ, Hubbard A, Jewell NP. Estimation of treatment effects in randomized trials with noncompliance and a dichotomous outcome. J R Stat Soc Series B Stat Methodol 2007;69:442-82.
    • (2007) J R Stat Soc Series B Stat Methodol , vol.69 , pp. 442-482
    • van der Laan, M.J.1    Hubbard, A.2    Jewell, N.P.3
  • 48
    • 79961197224 scopus 로고    scopus 로고
    • Estimating effects by combining instrumental variables with case-control designs: the role of principal stratification
    • Johns Hopkins University, Department of Biostatistics Working Papers, (Working Paper 198), (5 September 2012, date last accessed)
    • Shinohara RT, Frangakis CE, Platz E, Tsilidis K. Estimating effects by combining instrumental variables with case-control designs: the role of principal stratification. Johns Hopkins University, Department of Biostatistics Working Papers 2008 (Working Paper 198). http://www.bepress.com/jhubiostat/paper198 (5 September 2012, date last accessed).
    • (2008)
    • Shinohara, R.T.1    Frangakis, C.E.2    Platz, E.3    Tsilidis, K.4
  • 49
    • 84875074762 scopus 로고    scopus 로고
    • Causal inference with two-stage logistic regression- accuracy, precisions, and application
    • Publicly Accessible Penn Dissertations (Paper 225), (5 September 2012, date last accessed)
    • Cai B. Causal inference with two-stage logistic regression- accuracy, precisions, and application. Publicly Accessible Penn Dissertations (Paper 225), 2010. http://repository.upenn.edu/edissertations/255 (5 September 2012, date last accessed).
    • (2010)
    • Cai, B.1


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