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A General Test of Association for Quantitative Traits in Nuclear Families
Open accessAbstract
High-resolution mapping is an important step in the identification of complex disease genes. In outbred populations, linkage disequilibrium is expected to operate over short distances and could provide a powerful fine-mapping tool. Here we build on recently developed methods for linkage-disequilibrium mapping of quantitative traits to construct a general approach that can accommodate nuclear families of any size, with or without parental information. Variance components are used to construct a test that utilizes information from all available offspring but that is not biased in the presence of linkage or familiality. A permutation test is described for situations in which maximum-likelihood estimates of the variance components are biased. Simulation studies are used to investigate power and error rates of this approach and to highlight situations in which violations of multivariate normality assumptions warrant the permutation test. The relationship between power and the level of linkage disequilibrium for this test suggests that the method is well suited to the analysis of dense maps. The relationship between power and family structure is investigated, and these results are applicable to study design in complex disease, especially for late-onset conditions for which parents are usually not available. When parental genotypes are available, power does not depend greatly on the number of offspring in each family. Power decreases when parental genotypes are not available, but the loss in power is negligible when four or more offspring per family are genotyped. Finally, it is shown that, when siblings are available, the total number of genotypes required in order to achieve comparable power is smaller if parents are not genotyped.
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“Within-family genetic association estimates, such as those obtained from samples of siblings, can provide less biased estimates of direct genetic effects because they are unlikely to be affected by demographic and indirect genetic effects of parents7,17,30–34.”
From Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects (2022) · cites this paper as [31]
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“The orthogonal model is the generalization of the Fulker model [24], allowing for families of any size (with or without parental genotypes) and was used in a variance components framework.”
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“A number of different statistical techniques have been developed for association mapping (Spielman et al. 1993; Abecasis et al. 2000; Pritchard et al. 2000b; Dudbridge 2003).”
MethodWason, J. M. S., & Dudbridge, F. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.03.007 · Cited by 28
“Up to technical details this approach is equivalent to one based on the orthogonal linear model of Abecasis et al.16 EðY jX;XM ;XFÞ ¼ mþ bb Bþ bwW; where B ¼ (XM þ XF)/2, in which XM and XF are the number of minor alleles in the mother and father, respectively, and W ¼ X B.”
MethodReplication of a Genome-Wide Association Study of Birth Weight in Preterm Neonates
Ryckman, K. K., Feenstra, B., Shaffer, J. R., Bream, E. N. A., Geller, F., Feingold, E., Weeks, D. E., Gadow, E. C., Cosentino, V., Saleme, C., et al. (2011) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2011.07.038 · Cited by 29
“Based on the same principles as the transmission disequilibrium test, QTDT builds on the methods developed for linkagedisequilibrium mapping and uses variance components to construct tests that use information from all available offspring.(29) Permutation tests were used to correct for the nonnormal distribution of bi…”
Immunogenetic Control of Antibody Responsiveness in a Malaria Endemic Area
Carpenter, D., Abushama, H. M., Bereczky, S., Färnert, A., Rooth, I., Troye‐Blomberg, M., Quinnell, R. J., & Shaw, M. (2006) · Human Immunology · doi:10.1016/j.humimm.2006.12.002 · Cited by 29
Association between Aldosterone Production and Variation in the 11β-Hydroxylase (CYP11B1) Gene
Imrie, H., Freel, M., Mayosi, B. M., Davies, E., Fraser, R., Ingram, M. C., Cordell, H. J., Farrall, M., Avery, P. J., Watkins, H. C., et al. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-1481 · Cited by 29
KIF5B gene sequence variation and response of cardiac stroke volume to regular exercise
Argyropoulos, G. A., Stütz, A. M., Ilnytska, O., Rice, T., Terán-Garcı́a, M., Rao, D. C., Bouchard, C., & Rankinen, T. (2008) · Physiological Genomics · doi:10.1152/physiolgenomics.00003.2008 · Cited by 29
Rizzi, T. S., Arias-Vásquez, A., Rommelse, N., Kuntsi, J., Anney, R., Asherson, P., Buitelaar, J., Banaschewski, T., Ebstein, R., Ruano, D., et al. (2010) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.31149 · Cited by 32
“We tested for population stratification by comparing the between and within family components of association, using a variant of the orthogonal model [Abecasis et al., 2000].”
MethodKenny, E. E., Kim, M., Gusev, A., Lowe, J. K., Salit, J., Smith, J. G., Kovvali, S., Kang, H. M., Newton‐Cheh, C., Daly, M. J., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq510 · Cited by 27
“Plink QFAM for quantitative traits, within- and betweenmode (PLINK/QFAM-total), uses a linear regression-based between/within family approach similar to a model described previously (26,40).”
MethodA genome-wide linkage scan reveals CD53 as an important regulator of innate TNF-α levels
Bos, S. D., Lakenberg, N., van der Breggen, R., Houwing‐Duistermaat, J. J., Kloppenburg, M., de Craen, A. J. M., Beekman, M., Meulenbelt, I., & Slagboom, P. E. (2010) · European Journal of Human Genetics · doi:10.1038/ejhg.2010.52 · Cited by 29
Genome-Wide Association Study in Humans
Smith, J. G., & Newton‐Cheh, C. (2009) · Methods in molecular biology · doi:10.1007/978-1-60761-247-6_14 · Cited by 32
Searching for susceptibility genes in schizophrenia
Jurewicz, I., Owen, R. J., O’Donovan, M. C., & Owen, M. J. (2001) · European Neuropsychopharmacology · doi:10.1016/s0924-977x(01)00116-x · Cited by 29
Rosyara, U. R., González-Hernández, J. L., Glover, K. D., Gedye, K. R., & Stein, J. M. (2009) · Theoretical and Applied Genetics · doi:10.1007/s00122-009-1010-9 · Cited by 28
Wibowo, T. A., Michal, J. J., & Jiang, Z. (2007) · Genome · doi:10.1139/g07-075 · Cited by 28
“Additionally, a quantitative transmission disequilibrium test (QTDT) (Abecasis et al. 2000) was performed to further examine the association between markers and adjusted phenotype data.”
MethodFurther evidence for a parent-of-origin effect at the NOP9 locus on language-related phenotypes
Pettigrew, K. A., Frinton, E., Nudel, R., Chan, M. T. M., Thompson, P. A., Hayiou‐Thomas, M. E., Talcott, J. B., Stein, J. F., Monaco, A. P., Hulme, C., et al. (2016) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-016-9157-6 · Cited by 26
“The informative individuals used by QTDT under this model derive from two groups.”
MethodAlgady, W., Louzada, S., Carpenter, D., Brajer, P., Färnert, A., Rooth, I., Ngasala, B., Yang, F., Shaw, M., & Hollox, E. J. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.10.008 · Cited by 25
“Using a family-based association method modelled in QTDT (36), we found a statistically significant association of the DUP4 variant with hemoglobin levels (p=0.0054, Table 1).”
BackgroundMethodInfluentialZhang, L., Li, J., Pei, Y., Liu, Y., & Deng, H. (2009) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2009.00539.x · Cited by 28
de Lange, M., Andrew, T., Snieder, H., Ge, D., Futers, T. S., Standeven, K. F., Spector, T. D., Grant, P. J., & Ariëns, R. A. S. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000231538.60223.92 · Cited by 28
Assessment of linkage and association of 13 genetic loci with bone mineral density
Lau, H. H. L., Ng, M., Cheung, W. M. W., Paterson, A. D., Sham, P. C., Luk, K. D. K., Chan, V., & Kung, A. W. C. (2006) · Journal of Bone and Mineral Metabolism · doi:10.1007/s00774-005-0676-6 · Cited by 28
“edu/ csg/abecasis/QTDT/) were developed under a variance component framework [18].”
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“Cardon, personal communication) and a more recent genome-wide analysis using the quantitative transmission-disequilibrium test (QTDT) (19,20) (all P 0.”
MethodInfluentialZhang, S., Zhang, K., Li, J., Sun, F., & Zhao, H. (2001) · Genetic Epidemiology · doi:10.1002/gepi.2001.21.s1.s370 · Cited by 28
Haplotypes in the APOA1-C3-A4-A5 gene cluster affect plasma lipids in both humans and baboons
Wang, Q. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddh121 · Cited by 28
Carn, G., Koller, D. L., Peacock, M., Hui, S. L., Evans, W., Conneally, P. M., Johnston, C. C., Foroud, T., & Econs, M. J. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.87.8.3819 · Cited by 28
Celedon, J. C., Soto‐Quiros, M. E., Palmer, L. J., Senter, J., Mosley, J. D., Silverman, E. K., & Weiss, S. T. (2002) · Clinical & Experimental Allergy · doi:10.1046/j.1365-2222.2002.01348.x · Cited by 28
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“These results agree with those of Abecasis et al. (2000), who reported that in the case that parental MCMC approach that considered all possible sets of haplotypes was much more efficient than inferring a setgenotypes are missing, the loss of power for detecting QTL is negligible when at least four…”
ResultCausal interpretations of family GWAS in the presence of heterogeneous effects
Veller, C., Przeworski, M., & Coop, G. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2401379121 · Cited by 27
Integration of Molecular Markers in Breeding
Burdon, R. D., & Wilcox, P. L. (2011) · CRC Press eBooks · doi:10.1201/b11075-11 · Cited by 27
Replication of the effect of SLC2A9 genetic variation on serum uric acid levels in American Indians
Voruganti, V. S., Franceschini, N., Haack, K., Laston, S., MacCluer, J. W., Umans, J. G., Comuzzie, A. G., North, K. E., & Cole, S. A. (2013) · European Journal of Human Genetics · doi:10.1038/ejhg.2013.264 · Cited by 27
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Dysbindin‐1 gene contributes differentially to early‐ and adult‐onset forms of functional psychosis
Fatjó‐Vilas, M., Papiol, S., Estrada, G., Bombín, I., Peralta, V., Rosa, A., Parellada, M., Miret, S., Martín, M., Lázaro, L., et al. (2011) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.31166 · Cited by 28
“6.1 [Abecasis et al., 2000].”
InfluentialPihlajamäki, J., Salmenniemi, U., Vänttinen, M., Ruotsalainen, E., Kuusisto, J., Vauhkonen, I., Kainulainen, S., Ng, M. C. Y., Cox, N. J., Bell, G. I., et al. (2006) · Diabetologia · doi:10.1007/s00125-006-0270-z · Cited by 27
“The effect of each haplotype on quantitative parameters was analysed with the family-based test of linkage disequilibrium (LD) using the QTDT program with age, sex and BMI as covariates, when appropriate [25].”
MethodShi, H., Zhou, T., Wang, X., Yang, Y., Wu, C., Liu, S., Bao, L., Li, N., Yuan, Z., Jin, Y., et al. (2018) · Molecular Genetics and Genomics · doi:10.1007/s00438-018-1463-0 · Cited by 27
Grant, A. V., Araújo, M. I., Ponte, E. V., Oliveira, R. R., Gao, P., Cruz, Á. A., Barnes, K. C., & Beaty, T. H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035863 · Cited by 27
“edu/csg/abecasis/QTDT/[25,26] which considers transmissions within and between families.”
BackgroundMethodPihlajamäki, J., Alanne-Kinnunen, M., Ruotsalainen, E., Salmenniemi, U., Vauhkonen, I., Kuulasmaa, T., Kainulainen, S., & Laakso, M. (2005) · Diabetologia · doi:10.1007/s00125-005-1800-9 · Cited by 27
“The effect of each haplotype on the quantitative parameters was analysed with the familybased test of linkage disequilibrium using the QTDT program with age, sex and BMI as covariates, when appropriate [8].”
MethodXiong, D., Liu, Y., Liu, P., Zhao, L., & Deng, H. (2005) · Osteoporosis International · doi:10.1007/s00198-005-2011-4 · Cited by 27
“QTDT tests directly for linkage disequilibrium (LD) between a trait and a marker locus and is robust to potential population stratification [42].”
BackgroundMethodHuang, Q.-Y., Shen, H., Deng, H.-Y., Conway, T., Davies, K. M., Li, J., Recker, R. R., & Deng, H. (2003) · Journal of Human Genetics · doi:10.1007/s10038-003-0053-z · Cited by 27
Positive association to IgE levels and a physical map of the 13q14 atopy locus
Anderson, G. G., Leaves, N. I., Bhattacharyya, S., Zhang, Y., Walshe, V. A., Broxholme, J., Abecasis, G. R., Levy, E. R., Zimmer, M., Cox, R., et al. (2002) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5200801 · Cited by 27
Self-citationHypomethylation of the paternally inherited LRRTM1 promoter linked to schizophrenia
Brucato, N., DeLisi, L. E., Fisher, S. E., & Francks, C. (2014) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32258 · Cited by 27
“The nine common SNPs spanning LRRTM1 were tested for allelic association with methylation levels using the QTDT package [Abecasis et al., 2000], that simultaneously models sib-pair linkage and parent-of-origin allelic association with quantitative traits.”
MethodGu, C. C., Hunt, S. C., Kardia, S. L. R., Turner, S. T., Chakravarti, A., Schork, N. J., Olshen, R. A., Curb, D. J., Jaquish, C. E., Boerwinkle, E., et al. (2007) · Human Genetics · doi:10.1007/s00439-007-0349-8 · Cited by 26
“QTDT allows for concurrent modeling of association and linkage, a useful utility to distinguish causal variants (Gu and Rao 2003; Abecasis et al. 2000b; Fulker et al. 1999).”
BackgroundMethodInfluentialGenome-wide linkage scan for submaximal exercise heart rate in the HERITAGE family study
Spielmann, N., Leon, A. S., Rao, D. C., Rice, T., Skinner, J. S., Rankinen, T., & Bouchard, C. (2007) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00042.2007 · Cited by 24
“The pairwise linkage disequilibrium (LD) between the SNPs was assessed using the ldmax program available in the GOLD software package (1).”
BackgroundMethodInfluentialFreson, K., Stolarz, K., Aerts, R., Brand, E., Brand‐Herrmann, S., Kawecka−Jaszcz, K., Kuznetsova, T., Tikhonoff, V., Thijs, L., Vermylen, J., et al. (2006) · Journal of Hypertension · doi:10.1097/hjh.0b013e3280109c6c · Cited by 26
Aı̈ssani, B., Përusse, L., Lapointe, G., Chagnon, Y. C., Bouchard, L., Walts, B., & Bouchard, C. (2006) · Obesity · doi:10.1038/oby.2006.185 · Cited by 26
Genetics in Psychosomatic Medicine: Research Designs and Statistical Approaches
McCaffery, J. M., Snieder, H., Dong, Y., & de Geus, E. J. C. (2007) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31802f5dd4 · Cited by 27
Torshizi, A. D., & Petzold, L. R. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx032 · Cited by 26
Analytic power calculation for QTL linkage analysis of small pedigrees
Rijsdijk, F. V., Hewitt, J. K., & Sham, P. C. (2001) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5200634 · Cited by 26
van den Oord, E. J. C. G., & Snieder, H. (2002) · Behavior Genetics · doi:10.1023/a:1014474711118 · Cited by 24
Deng, F., Liu, M. Y., Li, M., Lei, S., Qin, Y., Zhou, Q., Liu, Y. J., & Deng, H. (2003) · Bone · doi:10.1016/s8756-3282(03)00234-5 · Cited by 26
Compendium of genome-wide scans of lipid-related phenotypes
Bossé, Y., Chagnon, Y. C., Després, J., Rice, T., Rao, D. C., Bouchard, C., Përusse, L., & Vohl, M. (2004) · Journal of Lipid Research · doi:10.1194/jlr.r400008-jlr200 · Cited by 26
Gregory, B. L., & Cheung, V. G. (2013) · Genome Research · doi:10.1101/gr.156141.113 · Cited by 28
“QTDT analyses of SNPs within or near the expressed genes under each linkage peak (t > 2) were performed using the orthogonal (ao) model and variance component options (wega) (Abecasis et al. 2000).”
MethodInfluentialMiddeldorp, C. M., & Boomsma, D. I. (2009) · Wiley eBooks · doi:10.1002/9780470478509.neubb002060 · Cited by 26
Nolan, D. K., Sutton, B. S., Haynes, C. S., Johnson, J., Sebek, J., Dowdy, E., Crosslin, D. R., Crossman, D. C., Sketch, M. H., Granger, C. B., et al. (2012) · BMC Genetics · doi:10.1186/1471-2156-13-12 · Cited by 25
“In the GENECARD sample, association between each individual SNP with LDL-C was performed using the quantitative disequilibrium test (QTDT) [21] and a Nolan et al.”
MethodInfluentialAssociation Test for X-Linked QTL in Family-Based Designs
Zhang, L., Martin, E. R., Morris, R. W., & Li, Y. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.02.010 · Cited by 25
Stütz, A. M., Terán-Garcı́a, M., Rao, D. C., Rice, T., Bouchard, C., & Rankinen, T. (2009) · European Journal of Human Genetics · doi:10.1038/ejhg.2009.64 · Cited by 25
“The associations between either single SNPs or SLC4A5 haplotypes and hemodynamic and metabolic phenotypes were analyzed using a variance components and likelihood ratio test based procedure in the QTDT software package 17 with details elsewhere 18.”
Yokley, J. L., Prasad, K. M. R., Chowdari, K. V., Talkowski, M. E., Wood, J. A., Gur, R. C., Gur, R. E., Almasy, L. A., Nimgaonkar, V. L., & Pogue‐Geile, M. F. (2011) · Psychiatric Genetics · doi:10.1097/ypg.0b013e32834f352c · Cited by 25
“SNPs were tested for association with a trait (e.g. cognitive performance or affected status) by the quantitative trait linkage disequilibrium test (QTLD) (Havill et al., 2005), unless there was evidence of significant (Pr 0.05) stratification, in which case, the quantitative transmission disequilibrium test (QTDT) (A…”
BackgroundMethodInfluentialGenetic and Nongenetic Variation Revealed for the Principal Components of Human Gene Expression
Goldinger, A., Henders, A. K., McRae, A. F., Martin, N. G., Gibson, G. C., Montgomery, G. W., Visscher, P. M., & Powell, J. E. (2013) · Genetics · doi:10.1534/genetics.113.153221 · Cited by 25
“…values of all individuals for the 335 PCs. Heritabilities were estimated for the PCs generated from data set a, using Quantitative Trait Disequilibrium Test (QTDT), which partitions variance components attributed to additive genetic, environmental, or common family variance (Abecasis et al. 2000).”
BackgroundMethodBipolar disorder and neurophysiologic mechanisms
McCrea, S. M. (2008) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s4329 · Cited by 26
CETP genotypes and HDL-cholesterol phenotypes in the HERITAGE Family Study
Spielmann, N., Leon, A. S., Rao, D. C., Rice, T., Skinner, J. S., Bouchard, C., & Rankinen, T. (2007) · Physiological Genomics · doi:10.1152/physiolgenomics.00281.2006 · Cited by 25
“The total association model of the QTDT software utilizes a variance-components framework to combine a phenotypic means model and the estimates of additive genetic, residual genetic, and residual environmental variances from a variance-covariance matrix into a single likelihood model (1).”
MethodAssociation Between a Dopamine-4 Receptor Polymorphism and Blood Pressure
Sen, S., Nesse, R. M., Sheng, L., Stoltenberg, S. F., Gleiberman, L., Burmeister, M., & Weder, A. B. (2005) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2005.04.010 · Cited by 24
“However, rather than modeling allelic effects based on allelic transmission, we tested the overall additive genetic effect of each polymorphism.(23,24) The presence of a statistical interaction between D4 receptor genotypes and age for diastolic and systolic BP was determined through a general linear model in SPSS 10.”
MethodAtopy, respiratory function and HLA-DR in Aboriginal Australians
Moffatt, M. F., Faux, J. A., Lester, S. E., Paré, P. D., McCluskey, J., Spargo, R., James, A., Musk, A. W., & Cookson, W. (2003) · Human Molecular Genetics · doi:10.1093/hmg/12.6.625 · Cited by 25
Self-citationBrand‐Herrmann, S., Kuznetsova, T., Wiechert, A., Stolarz, K., Tikhonoff, V., Schmidt‐Petersen, K., Telgmann, R., Casiglia, E., Wang, J., Thijs, L., et al. (2005) · Journal of Lipid Research · doi:10.1194/jlr.m400405-jlr200 · Cited by 25
“We evaluated the withinand between-family components by phenotypic variability, using the orthogonal model as implemented by Abecasis, Cardon, and Cookson (17) in the QTDT software (version 2.3; http://www.sph. umich.edu/csg/abecasis/QTDT).”
MethodInfluentialThe effect of transforming growth factor 1 gene polymorphisms in ankylosing spondylitis
Jaakkola, E. (2003) · British journal of rheumatology · doi:10.1093/rheumatology/keg457 · Cited by 25
Malkin, I., Dahm, S., Suk, A., Kobyliansky, E., Toliat, M. R., Ruf, N., Livshits, G., & Nürnberg, P. (2005) · Bone · doi:10.1016/j.bone.2004.09.002 · Cited by 25
Wang, J., & Tai, J. J. (2009) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2008.00502.x · Cited by 24
“…0.052 0.049 0.051 0.051 REC 0.805 0.565 0.067 0.564 0.722 0.750 – 0.766 – 0.572 0.566 ADD 0.563 0.802 0.565 0.802 0.745 0.750 0.753 0.767 0.767 0.814 0.804 DOM 0.063 0.562 0.802 0.562 0.721 – 0.751 – 0.765 0.571 0.563 †the likelihood-based QTDT/orthogonal model proposed by Abecasis et al. (2000).”
MethodInfluentialPTHR1 Polymorphisms Influence BMD Variation through Effects on the Growing Skeleton
Vilariño‐Güell, C., Miles, L. J., Duncan, E. L., Ralston, S. H., Compston, J. E., Cooper, C. C., Langdahl, B. L., MacLelland, A., Pols, H. A. P., Reid, D. M., et al. (2007) · Calcified Tissue International · doi:10.1007/s00223-007-9072-7 · Cited by 24
“Family association analysis of single markers and of two-marker and three-marker haplotypes of contiguous polymorphisms was performed using the total association model of QTDT [7].”
MethodFamily-based association mapping in crop species
Guo, B., Wang, D., Guo, Z., & Beavis, W. D. (2013) · Theoretical and Applied Genetics · doi:10.1007/s00122-013-2100-2 · Cited by 26
Ohmura, K., Johnsen, A. K., Ortiz-Lopez, A., Desany, P., Roy, M., Besse, W., Rogus, J. J., Bogue, M. A., Puech, A., Lathrop, M. G., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504325102 · Cited by 24
Shekar, S. N., Duffy, D. L., Frudakis, T. N., Sturm, R. A., Zhao, Z., Montgomery, G. W., & Martin, N. G. (2008) · Journal of Investigative Dermatology · doi:10.1038/jid.2008.147 · Cited by 24
IL3 variant on chromosomal region 5q31–33 and protection from recurrent malaria attacks
Meyer, C. G., Fernandes, M. H. C., Intemann, C. D., Kreuels, B., Kobbe, R., Kreuzberg, C., Ayim, M., Ruether, A., Loag, W., Ehmen, C., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddq562 · Cited by 24
“A qTDT was performed to correct the rate of malaria episodes for family-based ethnic bias (36).”
MethodAtkinson, A., Garnier, S., Afridi, S., Fumoux, F., & Rihet, P. (2012) · Malaria Journal · doi:10.1186/1475-2875-11-108 · Cited by 24
“Combined association and linkage analyses of quantitative traits were carried out using the FBAT program and the QTDT program [32,36].”
MethodPDE8A genetic variation, polycystic ovary syndrome and androgen levels in women
Chen, C., Wickenheisser, J. K., Ewens, K. G., Ankener, W., Legro, R. S., Dunaif, A. E., McAllister, J. M., Spielman, R. S., & Strauss, J. F. (2009) · Molecular Human Reproduction · doi:10.1093/molehr/gap035 · Cited by 24
“The quantitative TDT (QTDT version 2.4.6; Abecasis et al., 2000) was used to test for association of the SNPs in PDE8A with PCOS-related”
MethodInfluentialAssociation of a Nonsynonymous Variant of DAOA with Visuospatial Ability in a Bipolar Family Sample
Soronen, P., Silander, K., Antila, M., Palo, O. M., Tuulio‐Henriksson, A., Kieseppä, T., Ellonen, P., Wedenoja, J., Turunen, J. A., Pietiläinen, O. P. H., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.03.028 · Cited by 24
“We used the Quantitative Transmission Disequilibrium Test (QTDT) software package (15) with the polygenic variance component option and performed association analyses of quantitative traits with the total association model assuming no population stratification.”
A Major Locus for Quantitatively Measured Shank Skin Color Traits in Korean Native Chicken
Jin, S., Lee, J. H., Seo, D., Cahyadi, M., Choi, N., Heo, K., Jo, C., & Park, H. B. (2016) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.16.0183 · Cited by 23
“…(TDT) to quantitative traits, was conducted to further evaluate the association between the SNP marker and the phenotype data using the nuclear families since the QTDT was developed to access association in the presence of linkage signal without increasing type I error rate (Abecasis et al., 2000).”
Comprehensive association analysis of APOE regulatory region polymorphisms in Alzheimer disease
Nicodemus, K. K., Stenger, J. E., Schmechel, D. E., Welsh-Bohmer, K. A., Saunders, A. M., Roses, A. D., Gilbert, J. R., Vance, J. M., Haines, J. L., Pericak‐Vance, M. A., et al. (2004) · Neurogenetics · doi:10.1007/s10048-004-0189-9 · Cited by 24
“To assess the effect of the APOE region SNPs on AAO in the families, we used the variance components method implemented in the QTDT package [30].”
MethodEstimating effects of latent and measured genotypes in multilevel models
van den Oord, E. J. C. G. (2001) · Statistical Methods in Medical Research · doi:10.1177/096228020101000603 · Cited by 27
Lei, S., Deng, F., Xiao, S., Chen, X., & Deng, H. (2005) · Bone · doi:10.1016/j.bone.2004.11.002 · Cited by 24
“An orthogonal model in the QTDT analyses [20] decomposes the genotype score into orthogonal between-family (bb) and withinfamily (bw) components.”
MethodQuantitative Similarity-Based Association Tests Using Population Samples
Zhang, S., & Zhao, H. (2001) · The American Journal of Human Genetics · doi:10.1086/323037 · Cited by 24
“This approach has been extended to nuclear families (Abecasis et al. 2000) and general sibship data (Sham et al.”
BackgroundTwo Adaptive Weighting Methods to Test for Rare Variant Associations in Family‐Based Designs
Fang, S., Sha, Q., & Zhang, S. (2012) · Genetic Epidemiology · doi:10.1002/gepi.21646 · Cited by 24
“We can decompose the children’s genotype score xi j ( j > 2) into between-family x̄i = (xi1 + xi2) /2 and withinfamily xwi j = xi( j+2) − x̄i components [Abecasis et al., 2000].”
MethodInfluentialAli, M., Ibrahim, A. M. H., Malla, S., Rudd, J. C., & Hays, D. B. (2012) · Euphytica · doi:10.1007/s10681-012-0824-8 · Cited by 23
“QTDT software can be used to perform quantitative transmission disequilibrium testing (QTDT) for short as well as extended pedigrees (Abecasis et al. 2000a, b).”
MethodInfluentialVasseur, F., Sendid, B., Jouault, T., Standaert‐Vitse, A., Dubuquoy, L., François, N., Gower‐Rousseau, C., Desreumaux, P., Broly, F., Vermeire, S., et al. (2011) · Inflammatory Bowel Diseases · doi:10.1002/ibd.21817 · Cited by 23
Chang, Y., Chiu, Y., Ho, L. L.-T., Ting, C.-T., Shih, K., Curb, J. D., Chen, Y.-D. I., Li, H., & Chuang, L. (2009) · Journal of Molecular Medicine · doi:10.1007/s00109-009-0542-4 · Cited by 23
“edu/csg/ abecasis/QTDT), which is based on a variance-components framework [16].”
MethodThe DCDC2 deletion is not a risk factor for dyslexia
Scerri, T. S., Macpherson, E., Martinelli, A. M., Wa, W. C., Monaco, A. P., Stein, J. F., Zheng, M., Ho, C. S., McBride, C. A., Snowling, M. J., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.151 · Cited by 23
Heritability and family-based GWAS analyses of the N -acyl ethanolamine and ceramide plasma lipidome
McGurk, K. A., Williams, S. G., Guo, H., Watkins, H. C., Farrall, M., Cordell, H. J., Nicolaou, A., & Keavney, B. D. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab002 · Cited by 24
“1) (73), by specifying the -we and -veg options to compare an environmental only variance model with a polygenic and environmental variances model.”
Lack of replication for the myosin‐ 18B association with mathematical ability in independent cohorts
Pettigrew, K. A., Valles, S. F. F., Moll, K., Northstone, K., Ring, S. M., Pennell, C. E., Wang, C. A., Leavett, R., Hayiou‐Thomas, M. E., Thompson, P. A., et al. (2015) · Genes Brain & Behavior · doi:10.1111/gbb.12213 · Cited by 24
“2007) in unrelated individuals and QTDT for families (Abecasis et al. 2000), modelling for an additive effect unless otherwise specified.”
BackgroundMethodCombined high resolution linkage and association mapping of quantitative trait loci
Fan, R., & Xiong, M. (2003) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5200941 · Cited by 23
Genetic epidemiology of skeletal system aging in apparently healthy human population
Livshits, G. (2004) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2004.08.020 · Cited by 23
van der Sluis, S., Dolan, C. V., Neale, M. C., & Posthuma, D. (2008) · Behavior Genetics · doi:10.1007/s10519-008-9201-8 · Cited by 23
“The Fulker model now forms the basis for widely used statistical packages such as QTDT (Abecasis et al. 2000a, b).”
BackgroundMethodInfluentialHuang, H.-H., Shih, W., Li, Y.-H., Wu, C. F., Chen, P., Lin, C., Liu, C., Liaw, Y., Lin, S., Lee, S.-D., et al. (2010) · Gut · doi:10.1136/gut.2010.207670 · Cited by 23
“Family-based associations for SNPs with viraemia were analysed by PBAT v3.5, and by a second method, the quantitative TDT (QTDT v.2.6.1).”
MethodInfluentialAn association between Epac‐1 gene variants and anxiety and depression in two independent samples
Middeldorp, C. M., Vink, J. M., Hettema, J. M., de Geus, E. J. C., Kendler, K. S., Willemsen, G. A. H. M., Neale, M. C., Boomsma, D. I., & Chen, X. (2009) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30976 · Cited by 22
“Associations between the three SNPs and the traits were investigated in QTDT using the test that models total association with sex included as a fixed effect [Abecasis et al., 2000].”
MethodHuertas‐Vázquez, A., Plaisier, C. L., Geng, R., Haas, B. E., Lee, J., van Greevenbroek, M. M. J., Kallen, C., de Bruin, T. W., Taskinen, M., Alagramam, K. N., et al. (2009) · Human Genetics · doi:10.1007/s00439-009-0749-z · Cited by 23
“QTDT was performed for each analyzed trait in the Finnish and Dutch families, both separately and in the combined dataset.”
MethodInfluentialZhang, Y., Lei, S., Mo, X., Wang, Y.-B., Li, M., & Deng, H. (2004) · Calcified Tissue International · doi:10.1007/s00223-004-0110-4 · Cited by 23
“Because the test for within-family association implemented in the QTDT is based on the transmission disequilibrium test, which detects association in the presence of LD owing to close linkage or true association [37–39], the –1997 G/T polymorphism in the COLIA1 gene is likely to be in linkage disequilibrium with a nea…”
MethodStrong association between polymorphisms in ANKH locus and skeletal size traits
Malkin, I., Ermakov, S. V., Kobyliansky, E. D., & Livshits, G. (2006) · Human Genetics · doi:10.1007/s00439-006-0173-6 · Cited by 23
“…the FBAT program; (2) the extreme offspring design t test (EOT) proposed by Malkin et al. (2002a) and implemented in the MAN-6 package; (3) and (4) two different versions of the orthogonal test proposed by Abecasis et al. (2000), with adjustment for the parent phenotypes (OTP) and without it (OT).”
MethodChristian Dina, C., Nemanov, L., Gritsenko, I., Rosolio, N., Osher, Y., Heresco‐Levy, U., Sariashvilli, E., Bachner‐Melman, R., Zohar, A. H., Benjamin, J., et al. (2004) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30099 · Cited by 23
Chemotherapeutic-induced apoptosis
Wen, Y., Gorsic, L. K., Wheeler, H. E., Ziliak, D. M., Huang, R. S., & Dolan, M. E. (2011) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e3283481967 · Cited by 22
“SNPs were tested for association with cisplatin (5 μM) induced cell growth inhibition and caspase 3/7 activity results using the quantitative trait disequilibrium test (QTDT) total association model [26].”
MethodCorrecting for relatedness in Bayesian models for genomic data association analysis
Pikkuhookana, P., & Sillanpää, M. J. (2009) · Heredity · doi:10.1038/hdy.2009.56 · Cited by 22
Genetic variants in COMT and neurocognitive impairment in families of patients with schizophrenia
Liao, S., Lin, S., Liu, C., Hsieh, M. H., Hwang, T., Liu, S., Guo, S., Hwu, H., & Chen, W. J. (2008) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2008.00467.x · Cited by 22
“Next, the WCST or CPT performance scores were treated as quantitative traits and their relations with the COMT SNPs were evaluated using software QTDT V2.4.6 ( Abecasis et al. 2000a, b).”
MethodInfluential
Metadata
- Authors
- Abecasis, G. R., Cardon, L. R., & Cookson, W. O. C.
- Affiliations
- Centre for Human Genetics (GB)
- Corresponding author
- Abecasis, G.R.
- ORCID
- Abecasis, G.R.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2000-01
- Volume
- 66
- Issue
- 1
- Pages
- 279-292
- ISSN
- 0002-9297 (ISSN-L)
- PMC
- PMC1288332
- OpenAlex
- W2078625752
- Cited by
- 1,126
- References
- 30
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 7 · 2023: 7 · 2022: 6 · 2021: 13 · 2020: 15 · 2019: 13 · 2018: 18 · 2017: 23 · 2016: 22 · 2015: 26 · 2014: 27 · 2013: 38 · 2012: 51
- FWCI
- 27.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The American Journal of Human Genetics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- association mapping, quantitative traits, nuclear family, variance components, permutation tests, fine mapping, power analysis, family structure, parental genotypes, multivariate normality, research design
- MeSH terms
- Genetics, Population, Humans, Models, Genetic, Nuclear Family, Linkage Disequilibrium, Quantitative Trait, Heritable
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