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Comparison of affected sibling-pair linkage methods to identify gene x gene interaction in GAW15 simulated data.

BMC proceedings

Larkin EK, Morris NJ, Li Y, Nock NL, Stein CM.
PMID: 18466567
BMC Proc. 2007;1:S66. doi: 10.1186/1753-6561-1-s1-s66. Epub 2007 Dec 18.

Non-parametric linkage methods have had limited success in detecting gene by gene interactions. Using affected sibling-pair (ASP) data from all replicates of the simulated data from Problem 3, we assessed the statistical power of three approaches to identify the...

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Larkin EK, Morris NJ, Li Y, et al. Comparison of affected sibling-pair linkage methods to identify gene x gene interaction in GAW15 simulated data. BMC Proc. 2007;1:S66doi: 10.1186/1753-6561-1-s1-s66.
Larkin, E. K., Morris, N. J., Li, Y., Nock, N. L., & Stein, C. M. (2007). Comparison of affected sibling-pair linkage methods to identify gene x gene interaction in GAW15 simulated data. BMC proceedings, 1S66. https://doi.org/10.1186/1753-6561-1-s1-s66
Larkin, Emma K, et al. "Comparison of affected sibling-pair linkage methods to identify gene x gene interaction in GAW15 simulated data." BMC proceedings vol. 1 (2007): S66. doi: https://doi.org/10.1186/1753-6561-1-s1-s66
Larkin EK, Morris NJ, Li Y, Nock NL, Stein CM. Comparison of affected sibling-pair linkage methods to identify gene x gene interaction in GAW15 simulated data. BMC Proc. 2007;1:S66. doi: 10.1186/1753-6561-1-s1-s66. Epub 2007 Dec 18. PMID: 18466567; PMCID: PMC2367530.
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Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans.

American journal of respiratory and critical care medicine

Cade BE, Chen H, Stilp AM, Gleason KJ, Sofer T, Ancoli-Israel S, Arens R, Bell GI, Below JE, Bjonnes AC, Chun S, Conomos MP, Evans DS, Johnson WC, Frazier-Wood AC, Lane JM, Larkin EK, Loredo JS, Post WS, Ramos AR, Rice K, Rotter JI, Shah NA, Stone KL, Taylor KD, Thornton TA, Tranah GJ, Wang C, Zee PC, Hanis CL, Sunyaev SR, Patel SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S.
PMID: 26977737
Am J Respir Crit Care Med. 2016 Oct 01;194(7):886-897. doi: 10.1164/rccm.201512-2431OC.

RATIONALE: Obstructive sleep apnea is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. Although there is strong clinical and epidemiologic evidence supporting the importance of genetic factors in influencing obstructive sleep apnea, its...

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Cade BE, Chen H, Stilp AM, et al. Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans. Am J Respir Crit Care Med. 2016;194(7):886-897doi: 10.1164/rccm.201512-2431OC.
Cade, B. E., Chen, H., Stilp, A. M., Gleason, K. J., Sofer, T., Ancoli-Israel, S., Arens, R., Bell, G. I., Below, J. E., Bjonnes, A. C., Chun, S., Conomos, M. P., Evans, D. S., Johnson, W. C., Frazier-Wood, A. C., Lane, J. M., Larkin, E. K., Loredo, J. S., Post, W. S., Ramos, A. R., Rice, K., Rotter, J. I., Shah, N. A., Stone, K. L., Taylor, K. D., Thornton, T. A., Tranah, G. J., Wang, C., Zee, P. C., Hanis, C. L., Sunyaev, S. R., Patel, S. R., Laurie, C. C., Zhu, X., Saxena, R., Lin, X., & Redline, S. (2016). Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans. American journal of respiratory and critical care medicine, 194(7), 886-897. https://doi.org/10.1164/rccm.201512-2431OC
Cade, Brian E, et al. "Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans." American journal of respiratory and critical care medicine vol. 194,7 (2016): 886-897. doi: https://doi.org/10.1164/rccm.201512-2431OC
Cade BE, Chen H, Stilp AM, Gleason KJ, Sofer T, Ancoli-Israel S, Arens R, Bell GI, Below JE, Bjonnes AC, Chun S, Conomos MP, Evans DS, Johnson WC, Frazier-Wood AC, Lane JM, Larkin EK, Loredo JS, Post WS, Ramos AR, Rice K, Rotter JI, Shah NA, Stone KL, Taylor KD, Thornton TA, Tranah GJ, Wang C, Zee PC, Hanis CL, Sunyaev SR, Patel SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans. Am J Respir Crit Care Med. 2016 Oct 01;194(7):886-897. doi: 10.1164/rccm.201512-2431OC. PMID: 26977737; PMCID: PMC5074655.
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Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer.

Journal of the American Statistical Association

Sun R, Lin X.
PMID: 33041403
J Am Stat Assoc. 2020;115(531):1079-1091. doi: 10.1080/01621459.2019.1660170. Epub 2019 Oct 16.

Studying the effects of groups of single nucleotide polymorphisms (SNPs), as in a gene, genetic pathway, or network, can provide novel insight into complex diseases like breast cancer, uncovering new genetic associations and augmenting the information that can be...

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Sun R, Lin X. Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer. J Am Stat Assoc. 2019;115(531):1079-1091doi: 10.1080/01621459.2019.1660170.
Sun, R., & Lin, X. (2020). Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer. Journal of the American Statistical Association, 115(531), 1079-1091. https://doi.org/10.1080/01621459.2019.1660170
Sun, Ryan, and Lin, Xihong. "Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer." Journal of the American Statistical Association vol. 115,531 (2020): 1079-1091. doi: https://doi.org/10.1080/01621459.2019.1660170
Sun R, Lin X. Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic with Application to a Genome-Wide Association Study of Breast Cancer. J Am Stat Assoc. 2020;115(531):1079-1091. doi: 10.1080/01621459.2019.1660170. Epub 2019 Oct 16. PMID: 33041403; PMCID: PMC7539682.
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Modeling the complex gene x environment interplay in the simulated rheumatoid arthritis GAW15 data using latent variable structural equation modeling.

BMC proceedings

Nock NL, Larkin EK, Morris NJ, Li Y, Stein CM.
PMID: 18466459
BMC Proc. 2007;1:S118. doi: 10.1186/1753-6561-1-s1-s118. Epub 2007 Dec 18.

Rheumatoid arthritis is a complex disease that appears to involve multiple genetic and environmental factors. Using the Genetic Analysis Workshop 15 simulated rheumatoid arthritis data and the structural equation modeling framework, we tested hypothesized "causal" rheumatoid arthritis model(s) by...

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Nock NL, Larkin EK, Morris NJ, et al. Modeling the complex gene x environment interplay in the simulated rheumatoid arthritis GAW15 data using latent variable structural equation modeling. BMC Proc. 2007;1:S118doi: 10.1186/1753-6561-1-s1-s118.
Nock, N. L., Larkin, E. K., Morris, N. J., Li, Y., & Stein, C. M. (2007). Modeling the complex gene x environment interplay in the simulated rheumatoid arthritis GAW15 data using latent variable structural equation modeling. BMC proceedings, 1S118. https://doi.org/10.1186/1753-6561-1-s1-s118
Nock, Nora L, et al. "Modeling the complex gene x environment interplay in the simulated rheumatoid arthritis GAW15 data using latent variable structural equation modeling." BMC proceedings vol. 1 (2007): S118. doi: https://doi.org/10.1186/1753-6561-1-s1-s118
Nock NL, Larkin EK, Morris NJ, Li Y, Stein CM. Modeling the complex gene x environment interplay in the simulated rheumatoid arthritis GAW15 data using latent variable structural equation modeling. BMC Proc. 2007;1:S118. doi: 10.1186/1753-6561-1-s1-s118. Epub 2007 Dec 18. PMID: 18466459; PMCID: PMC2367478.
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Genome-wide association of body fat distribution in African ancestry populations suggests new loci.

PLoS genetics

Liu CT, Monda KL, Taylor KC, Lange L, Demerath EW, Palmas W, Wojczynski MK, Ellis JC, Vitolins MZ, Liu S, Papanicolaou GJ, Irvin MR, Xue L, Griffin PJ, Nalls MA, Adeyemo A, Liu J, Li G, Ruiz-Narvaez EA, Chen WM, Chen F, Henderson BE, Millikan RC, Ambrosone CB, Strom SS, Guo X, Andrews JS, Sun YV, Mosley TH, Yanek LR, Shriner D, Haritunians T, Rotter JI, Speliotes EK, Smith M, Rosenberg L, Mychaleckyj J, Nayak U, Spruill I, Garvey WT, Pettaway C, Nyante S, Bandera EV, Britton AF, Zonderman AB, Rasmussen-Torvik LJ, Chen YD, Ding J, Lohman K, Kritchevsky SB, Zhao W, Peyser PA, Kardia SL, Kabagambe E, Broeckel U, Chen G, Zhou J, Wassertheil-Smoller S, Neuhouser ML, Rampersaud E, Psaty B, Kooperberg C, Manson JE, Kuller LH, Ochs-Balcom HM, Johnson KC, Sucheston L, Ordovas JM, Palmer JR, Haiman CA, McKnight B, Howard BV, Becker DM, Bielak LF, Liu Y, Allison MA, Grant SF, Burke GL, Patel SR, Schreiner PJ, Borecki IB, Evans MK, Taylor H, Sale MM, Howard V, Carlson CS, Rotimi CN, Cushman M, Harris TB, Reiner AP, Cupples LA, North KE, Fox CS.
PMID: 23966867
PLoS Genet. 2013;9(8):e1003681. doi: 10.1371/journal.pgen.1003681. Epub 2013 Aug 15.

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly...

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Liu CT, Monda KL, Taylor KC, et al. Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS Genet. 2013;9(8):e1003681doi: 10.1371/journal.pgen.1003681.
Liu, C. T., Monda, K. L., Taylor, K. C., Lange, L., Demerath, E. W., Palmas, W., Wojczynski, M. K., Ellis, J. C., Vitolins, M. Z., Liu, S., Papanicolaou, G. J., Irvin, M. R., Xue, L., Griffin, P. J., Nalls, M. A., Adeyemo, A., Liu, J., Li, G., Ruiz-Narvaez, E. A., Chen, W. M., Chen, F., Henderson, B. E., Millikan, R. C., Ambrosone, C. B., Strom, S. S., Guo, X., Andrews, J. S., Sun, Y. V., Mosley, T. H., Yanek, L. R., Shriner, D., Haritunians, T., Rotter, J. I., Speliotes, E. K., Smith, M., Rosenberg, L., Mychaleckyj, J., Nayak, U., Spruill, I., Garvey, W. T., Pettaway, C., Nyante, S., Bandera, E. V., Britton, A. F., Zonderman, A. B., Rasmussen-Torvik, L. J., Chen, Y. D., Ding, J., Lohman, K., Kritchevsky, S. B., Zhao, W., Peyser, P. A., Kardia, S. L., Kabagambe, E., Broeckel, U., Chen, G., Zhou, J., Wassertheil-Smoller, S., Neuhouser, M. L., Rampersaud, E., Psaty, B., Kooperberg, C., Manson, J. E., Kuller, L. H., Ochs-Balcom, H. M., Johnson, K. C., Sucheston, L., Ordovas, J. M., Palmer, J. R., Haiman, C. A., McKnight, B., Howard, B. V., Becker, D. M., Bielak, L. F., Liu, Y., Allison, M. A., Grant, S. F., Burke, G. L., Patel, S. R., Schreiner, P. J., Borecki, I. B., Evans, M. K., Taylor, H., Sale, M. M., Howard, V., Carlson, C. S., Rotimi, C. N., Cushman, M., Harris, T. B., Reiner, A. P., Cupples, L. A., North, K. E., & Fox, C. S. (2013). Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS genetics, 9(8), e1003681. https://doi.org/10.1371/journal.pgen.1003681
Liu, Ching-Ti, et al. "Genome-wide association of body fat distribution in African ancestry populations suggests new loci." PLoS genetics vol. 9,8 (2013): e1003681. doi: https://doi.org/10.1371/journal.pgen.1003681
Liu CT, Monda KL, Taylor KC, Lange L, Demerath EW, Palmas W, Wojczynski MK, Ellis JC, Vitolins MZ, Liu S, Papanicolaou GJ, Irvin MR, Xue L, Griffin PJ, Nalls MA, Adeyemo A, Liu J, Li G, Ruiz-Narvaez EA, Chen WM, Chen F, Henderson BE, Millikan RC, Ambrosone CB, Strom SS, Guo X, Andrews JS, Sun YV, Mosley TH, Yanek LR, Shriner D, Haritunians T, Rotter JI, Speliotes EK, Smith M, Rosenberg L, Mychaleckyj J, Nayak U, Spruill I, Garvey WT, Pettaway C, Nyante S, Bandera EV, Britton AF, Zonderman AB, Rasmussen-Torvik LJ, Chen YD, Ding J, Lohman K, Kritchevsky SB, Zhao W, Peyser PA, Kardia SL, Kabagambe E, Broeckel U, Chen G, Zhou J, Wassertheil-Smoller S, Neuhouser ML, Rampersaud E, Psaty B, Kooperberg C, Manson JE, Kuller LH, Ochs-Balcom HM, Johnson KC, Sucheston L, Ordovas JM, Palmer JR, Haiman CA, McKnight B, Howard BV, Becker DM, Bielak LF, Liu Y, Allison MA, Grant SF, Burke GL, Patel SR, Schreiner PJ, Borecki IB, Evans MK, Taylor H, Sale MM, Howard V, Carlson CS, Rotimi CN, Cushman M, Harris TB, Reiner AP, Cupples LA, North KE, Fox CS. Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS Genet. 2013;9(8):e1003681. doi: 10.1371/journal.pgen.1003681. Epub 2013 Aug 15. PMID: 23966867; PMCID: PMC3744443.
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Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity.

International journal of obesity (2005)

Liu Y, Zhang X, Lee J, Smelser D, Cade B, Chen H, Zhou H, Kirchner HL, Lin X, Mukherjee S, Hillman D, Liu CT, Redline S, Sofer T.
PMID: 33907307
Int J Obes (Lond). 2021 Jul;45(7):1532-1541. doi: 10.1038/s41366-021-00817-2. Epub 2021 Apr 27.

BACKGROUND/OBJECTIVES: Neck circumference, an index of upper airway fat, has been suggested to be an important measure of body-fat distribution with unique associations with health outcomes such as obstructive sleep apnea and metabolic disease. This study aims to study...

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Liu Y, Zhang X, Lee J, et al. Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity. Int J Obes (Lond). 2021;45(7):1532-1541doi: 10.1038/s41366-021-00817-2.
Liu, Y., Zhang, X., Lee, J., Smelser, D., Cade, B., Chen, H., Zhou, H., Kirchner, H. L., Lin, X., Mukherjee, S., Hillman, D., Liu, C. T., Redline, S., & Sofer, T. (2021). Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity. International journal of obesity (2005), 45(7), 1532-1541. https://doi.org/10.1038/s41366-021-00817-2
Liu, Yaowu, et al. "Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity." International journal of obesity (2005) vol. 45,7 (2021): 1532-1541. doi: https://doi.org/10.1038/s41366-021-00817-2
Liu Y, Zhang X, Lee J, Smelser D, Cade B, Chen H, Zhou H, Kirchner HL, Lin X, Mukherjee S, Hillman D, Liu CT, Redline S, Sofer T. Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity. Int J Obes (Lond). 2021 Jul;45(7):1532-1541. doi: 10.1038/s41366-021-00817-2. Epub 2021 Apr 27. PMID: 33907307; PMCID: PMC8236408.
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