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Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits.

Psychosomatic medicine

Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J.
PMID: 29280852
Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555.

OBJECTIVE: Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits.METHODS: We...

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Haljas K, Amare AT, Alizadeh BZ, et al. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018;80(3):242-251doi: 10.1097/PSY.0000000000000555.
Haljas, K., Amare, A. T., Alizadeh, B. Z., Hsu, Y. H., Mosley, T., Newman, A., Murabito, J., Tiemeier, H., Tanaka, T., van Duijn, C., Ding, J., Llewellyn, D. J., Bennett, D. A., Terracciano, A., Launer, L., Ladwig, K. H., Cornelis, M. C., Teumer, A., Grabe, H., Kardia, S. L. R., Ware, E. B., Smith, J. A., Snieder, H., Eriksson, J. G., Groop, L., Räikkönen, K., & Lahti, J. (2018). Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosomatic medicine, 80(3), 242-251. https://doi.org/10.1097/PSY.0000000000000555
Haljas, Kadri, et al. "Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits." Psychosomatic medicine vol. 80,3 (2018): 242-251. doi: https://doi.org/10.1097/PSY.0000000000000555
Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555. PMID: 29280852; PMCID: PMC6051528.
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Pangenomics enables genotyping of known structural variants in 5202 diverse genomes.

Science (New York, N.Y.)

Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B.
PMID: 34914532
Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17.

[Figure: see text].

Cite
Sirén J, Monlong J, Chang X, et al. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021;374(6574):abg8871doi: 10.1126/science.abg8871.
Sirén, J., Monlong, J., Chang, X., Novak, A. M., Eizenga, J. M., Markello, C., Sibbesen, J. A., Hickey, G., Chang, P. C., Carroll, A., Gupta, N., Gabriel, S., Blackwell, T. W., Ratan, A., Taylor, K. D., Rich, S. S., Rotter, J. I., Haussler, D., Garrison, E., & Paten, B. (2021). Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science (New York, N.Y.), 374(6574), abg8871. https://doi.org/10.1126/science.abg8871
Sirén, Jouni, et al. "Pangenomics enables genotyping of known structural variants in 5202 diverse genomes." Science (New York, N.Y.) vol. 374,6574 (2021): abg8871. doi: https://doi.org/10.1126/science.abg8871
Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17. PMID: 34914532.
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Polygenic Scores for Height in Admixed Populations.

G3 (Bethesda, Md.)

Bitarello BD, Mathieson I.
PMID: 32878958
G3 (Bethesda). 2020 Nov 05;10(11):4027-4036. doi: 10.1534/g3.120.401658.

Polygenic risk scores (PRS) use the results of genome-wide association studies (GWAS) to predict quantitative phenotypes or disease risk at an individual level, and provide a potential route to the use of genetic data in personalized medical care. However,...

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Bitarello BD, Mathieson I. Polygenic Scores for Height in Admixed Populations. G3 (Bethesda). 2020;10(11):4027-4036doi: 10.1534/g3.120.401658.
Bitarello, B. D., & Mathieson, I. (2020). Polygenic Scores for Height in Admixed Populations. G3 (Bethesda, Md.), 10(11), 4027-4036. https://doi.org/10.1534/g3.120.401658
Bitarello, Bárbara D, and Mathieson, Iain. "Polygenic Scores for Height in Admixed Populations." G3 (Bethesda, Md.) vol. 10,11 (2020): 4027-4036. doi: https://doi.org/10.1534/g3.120.401658
Bitarello BD, Mathieson I. Polygenic Scores for Height in Admixed Populations. G3 (Bethesda). 2020 Nov 05;10(11):4027-4036. doi: 10.1534/g3.120.401658. PMID: 32878958; PMCID: PMC7642950.
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Pangenomics enables genotyping of known structural variants in 5202 diverse genomes.

Science (New York, N.Y.)

Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B.
PMID: 34914532
Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17.

[Figure: see text].

Cite
Sirén J, Monlong J, Chang X, et al. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021;374(6574):abg8871doi: 10.1126/science.abg8871.
Sirén, J., Monlong, J., Chang, X., Novak, A. M., Eizenga, J. M., Markello, C., Sibbesen, J. A., Hickey, G., Chang, P. C., Carroll, A., Gupta, N., Gabriel, S., Blackwell, T. W., Ratan, A., Taylor, K. D., Rich, S. S., Rotter, J. I., Haussler, D., Garrison, E., & Paten, B. (2021). Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science (New York, N.Y.), 374(6574), abg8871. https://doi.org/10.1126/science.abg8871
Sirén, Jouni, et al. "Pangenomics enables genotyping of known structural variants in 5202 diverse genomes." Science (New York, N.Y.) vol. 374,6574 (2021): abg8871. doi: https://doi.org/10.1126/science.abg8871
Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17. PMID: 34914532.
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A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women.

Bone reports

Taylor KC, Evans DS, Edwards DRV, Edwards TL, Sofer T, Li G, Liu Y, Franceschini N, Jackson RD, Giri A, Donneyong M, Psaty B, Rotter JI, LaCroix AZ, Jordan JM, Robbins JA, Lewis B, Stefanick ML, Liu Y, Garcia M, Harris T, Cauley JA, North KE.
PMID: 28580392
Bone Rep. 2016 Aug 27;5:233-242. doi: 10.1016/j.bonr.2016.08.005. eCollection 2016 Dec.

BACKGROUND: Osteoporosis is a major public health problem associated with excess disability and mortality. It is estimated that 50-70% of the variation in osteoporotic fracture risk is attributable to genetic factors. The purpose of this hypothesis-generating study was to...

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Taylor KC, Evans DS, Edwards DRV, et al. A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women. Bone Rep. 2016;5:233-242doi: 10.1016/j.bonr.2016.08.005.
Taylor, K. C., Evans, D. S., Edwards, D. R. V., Edwards, T. L., Sofer, T., Li, G., Liu, Y., Franceschini, N., Jackson, R. D., Giri, A., Donneyong, M., Psaty, B., Rotter, J. I., LaCroix, A. Z., Jordan, J. M., Robbins, J. A., Lewis, B., Stefanick, M. L., Liu, Y., Garcia, M., Harris, T., Cauley, J. A., & North, K. E. (2016). A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women. Bone reports, 5233-242. https://doi.org/10.1016/j.bonr.2016.08.005
Taylor, Kira C, et al. "A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women." Bone reports vol. 5 (2016): 233-242. doi: https://doi.org/10.1016/j.bonr.2016.08.005
Taylor KC, Evans DS, Edwards DRV, Edwards TL, Sofer T, Li G, Liu Y, Franceschini N, Jackson RD, Giri A, Donneyong M, Psaty B, Rotter JI, LaCroix AZ, Jordan JM, Robbins JA, Lewis B, Stefanick ML, Liu Y, Garcia M, Harris T, Cauley JA, North KE. A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women. Bone Rep. 2016 Aug 27;5:233-242. doi: 10.1016/j.bonr.2016.08.005. eCollection 2016 Dec. PMID: 28580392; PMCID: PMC5440953.
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Pangenomics enables genotyping of known structural variants in 5202 diverse genomes.

Science (New York, N.Y.)

Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B.
PMID: 34914532
Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17.

[Figure: see text].

Cite
Sirén J, Monlong J, Chang X, et al. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021;374(6574):abg8871doi: 10.1126/science.abg8871.
Sirén, J., Monlong, J., Chang, X., Novak, A. M., Eizenga, J. M., Markello, C., Sibbesen, J. A., Hickey, G., Chang, P. C., Carroll, A., Gupta, N., Gabriel, S., Blackwell, T. W., Ratan, A., Taylor, K. D., Rich, S. S., Rotter, J. I., Haussler, D., Garrison, E., & Paten, B. (2021). Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science (New York, N.Y.), 374(6574), abg8871. https://doi.org/10.1126/science.abg8871
Sirén, Jouni, et al. "Pangenomics enables genotyping of known structural variants in 5202 diverse genomes." Science (New York, N.Y.) vol. 374,6574 (2021): abg8871. doi: https://doi.org/10.1126/science.abg8871
Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17. PMID: 34914532.
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Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions.

European journal of human genetics : EJHG

Xu H, Schwander K, Brown MR, Wang W, Waken RJ, Boerwinkle E, Cupples LA, de Las Fuentes L, van Heemst D, Osazuwa-Peters O, de Vries PS, van Dijk KW, Sung YJ, Zhang X, Morrison AC, Rao DC, Noordam R, Liu CT.
PMID: 33500576
Eur J Hum Genet. 2021 May;29(5):839-850. doi: 10.1038/s41431-021-00808-x. Epub 2021 Jan 26.

Recent studies consider lifestyle risk score (LRS), an aggregation of multiple lifestyle exposures, in identifying association of gene-lifestyle interaction with disease traits. However, not all cohorts have data on all lifestyle factors, leading to increased heterogeneity in the environmental...

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Xu H, Schwander K, Brown MR, et al. Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions. Eur J Hum Genet. 2021;29(5):839-850doi: 10.1038/s41431-021-00808-x.
Xu, H., Schwander, K., Brown, M. R., Wang, W., Waken, R. J., Boerwinkle, E., Cupples, L. A., de Las Fuentes, L., van Heemst, D., Osazuwa-Peters, O., de Vries, P. S., van Dijk, K. W., Sung, Y. J., Zhang, X., Morrison, A. C., Rao, D. C., Noordam, R., & Liu, C. T. (2021). Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions. European journal of human genetics : EJHG, 29(5), 839-850. https://doi.org/10.1038/s41431-021-00808-x
Xu, Hanfei, et al. "Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions." European journal of human genetics : EJHG vol. 29,5 (2021): 839-850. doi: https://doi.org/10.1038/s41431-021-00808-x
Xu H, Schwander K, Brown MR, Wang W, Waken RJ, Boerwinkle E, Cupples LA, de Las Fuentes L, van Heemst D, Osazuwa-Peters O, de Vries PS, van Dijk KW, Sung YJ, Zhang X, Morrison AC, Rao DC, Noordam R, Liu CT. Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions. Eur J Hum Genet. 2021 May;29(5):839-850. doi: 10.1038/s41431-021-00808-x. Epub 2021 Jan 26. PMID: 33500576; PMCID: PMC8110957.
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Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function.

Scientific reports

Yang T, Jackson VE, Smith AV, Chen H, Bartz TM, Sitlani CM, Psaty BM, Gharib SA, O'Connor GT, Dupuis J, Xu J, Lohman K, Liu Y, Kritchevsky SB, Cassano PA, Flexeder C, Gieger C, Karrasch S, Peters A, Schulz H, Harris SE, Starr JM, Deary IJ, Manichaikul A, Oelsner EC, Barr RG, Taylor KD, Rich SS, Bonten TN, Mook-Kanamori DO, Noordam R, Li-Gao R, Jarvelin MR, Wielscher M, Terzikhan N, Lahousse L, Brusselle G, Weiss S, Ewert R, Gläser S, Homuth G, Shrine N, Hall IP, Tobin M, London SJ, Wei P, Morrison AC.
PMID: 34588469
Sci Rep. 2021 Sep 29;11(1):19365. doi: 10.1038/s41598-021-98120-7.

Genome-wide association studies have identified numerous common genetic variants associated with spirometric measures of pulmonary function, including forced expiratory volume in one second (FEV

Cite
Yang T, Jackson VE, Smith AV, et al. Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function. Sci Rep. 2021;11(1):19365doi: 10.1038/s41598-021-98120-7.
Yang, T., Jackson, V. E., Smith, A. V., Chen, H., Bartz, T. M., Sitlani, C. M., Psaty, B. M., Gharib, S. A., O'Connor, G. T., Dupuis, J., Xu, J., Lohman, K., Liu, Y., Kritchevsky, S. B., Cassano, P. A., Flexeder, C., Gieger, C., Karrasch, S., Peters, A., Schulz, H., Harris, S. E., Starr, J. M., Deary, I. J., Manichaikul, A., Oelsner, E. C., Barr, R. G., Taylor, K. D., Rich, S. S., Bonten, T. N., Mook-Kanamori, D. O., Noordam, R., Li-Gao, R., Jarvelin, M. R., Wielscher, M., Terzikhan, N., Lahousse, L., Brusselle, G., Weiss, S., Ewert, R., Gläser, S., Homuth, G., Shrine, N., Hall, I. P., Tobin, M., London, S. J., Wei, P., & Morrison, A. C. (2021). Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function. Scientific reports, 11(1), 19365. https://doi.org/10.1038/s41598-021-98120-7
Yang, Tianzhong, et al. "Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function." Scientific reports vol. 11,1 (2021): 19365. doi: https://doi.org/10.1038/s41598-021-98120-7
Yang T, Jackson VE, Smith AV, Chen H, Bartz TM, Sitlani CM, Psaty BM, Gharib SA, O'Connor GT, Dupuis J, Xu J, Lohman K, Liu Y, Kritchevsky SB, Cassano PA, Flexeder C, Gieger C, Karrasch S, Peters A, Schulz H, Harris SE, Starr JM, Deary IJ, Manichaikul A, Oelsner EC, Barr RG, Taylor KD, Rich SS, Bonten TN, Mook-Kanamori DO, Noordam R, Li-Gao R, Jarvelin MR, Wielscher M, Terzikhan N, Lahousse L, Brusselle G, Weiss S, Ewert R, Gläser S, Homuth G, Shrine N, Hall IP, Tobin M, London SJ, Wei P, Morrison AC. Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function. Sci Rep. 2021 Sep 29;11(1):19365. doi: 10.1038/s41598-021-98120-7. PMID: 34588469; PMCID: PMC8481467.
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Pangenomics enables genotyping of known structural variants in 5202 diverse genomes.

Science (New York, N.Y.)

Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B.
PMID: 34914532
Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17.

[Figure: see text].

Cite
Sirén J, Monlong J, Chang X, et al. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021;374(6574):abg8871doi: 10.1126/science.abg8871.
Sirén, J., Monlong, J., Chang, X., Novak, A. M., Eizenga, J. M., Markello, C., Sibbesen, J. A., Hickey, G., Chang, P. C., Carroll, A., Gupta, N., Gabriel, S., Blackwell, T. W., Ratan, A., Taylor, K. D., Rich, S. S., Rotter, J. I., Haussler, D., Garrison, E., & Paten, B. (2021). Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science (New York, N.Y.), 374(6574), abg8871. https://doi.org/10.1126/science.abg8871
Sirén, Jouni, et al. "Pangenomics enables genotyping of known structural variants in 5202 diverse genomes." Science (New York, N.Y.) vol. 374,6574 (2021): abg8871. doi: https://doi.org/10.1126/science.abg8871
Sirén J, Monlong J, Chang X, Novak AM, Eizenga JM, Markello C, Sibbesen JA, Hickey G, Chang PC, Carroll A, Gupta N, Gabriel S, Blackwell TW, Ratan A, Taylor KD, Rich SS, Rotter JI, Haussler D, Garrison E, Paten B. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 2021 Dec 17;374(6574):abg8871. doi: 10.1126/science.abg8871. Epub 2021 Dec 17. PMID: 34914532.
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How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.

North American actuarial journal : NAAJ

Yashin AI, Arbeev KG, Wu D, Arbeeva L, Kulminski A, Kulminskaya I, Akushevich I, Ukraintseva SV.
PMID: 27773987
N Am Actuar J. 2016;20(3):201-232. doi: 10.1080/10920277.2016.1178588. Epub 2016 Jun 22.

BACKGROUND AND OBJECTIVE: To clarify mechanisms of genetic regulation of human aging and longevity traits, a number of genome-wide association studies (GWAS) of these traits have been performed. However, the results of these analyses did not meet expectations of...

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Yashin AI, Arbeev KG, Wu D, et al. How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data. N Am Actuar J. 2016;20(3):201-232doi: 10.1080/10920277.2016.1178588.
Yashin, A. I., Arbeev, K. G., Wu, D., Arbeeva, L., Kulminski, A., Kulminskaya, I., Akushevich, I., & Ukraintseva, S. V. (2016). How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data. North American actuarial journal : NAAJ, 20(3), 201-232. https://doi.org/10.1080/10920277.2016.1178588
Yashin, Anatoliy I, et al. "How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data." North American actuarial journal : NAAJ vol. 20,3 (2016): 201-232. doi: https://doi.org/10.1080/10920277.2016.1178588
Yashin AI, Arbeev KG, Wu D, Arbeeva L, Kulminski A, Kulminskaya I, Akushevich I, Ukraintseva SV. How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data. N Am Actuar J. 2016;20(3):201-232. doi: 10.1080/10920277.2016.1178588. Epub 2016 Jun 22. PMID: 27773987; PMCID: PMC5070546.
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Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function.

Scientific reports

Yang T, Jackson VE, Smith AV, Chen H, Bartz TM, Sitlani CM, Psaty BM, Gharib SA, O'Connor GT, Dupuis J, Xu J, Lohman K, Liu Y, Kritchevsky SB, Cassano PA, Flexeder C, Gieger C, Karrasch S, Peters A, Schulz H, Harris SE, Starr JM, Deary IJ, Manichaikul A, Oelsner EC, Barr RG, Taylor KD, Rich SS, Bonten TN, Mook-Kanamori DO, Noordam R, Li-Gao R, Jarvelin MR, Wielscher M, Terzikhan N, Lahousse L, Brusselle G, Weiss S, Ewert R, Gläser S, Homuth G, Shrine N, Hall IP, Tobin M, London SJ, Wei P, Morrison AC.
PMID: 34588469
Sci Rep. 2021 Sep 29;11(1):19365. doi: 10.1038/s41598-021-98120-7.

Genome-wide association studies have identified numerous common genetic variants associated with spirometric measures of pulmonary function, including forced expiratory volume in one second (FEV

Cite
Yang T, Jackson VE, Smith AV, et al. Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function. Sci Rep. 2021;11(1):19365doi: 10.1038/s41598-021-98120-7.
Yang, T., Jackson, V. E., Smith, A. V., Chen, H., Bartz, T. M., Sitlani, C. M., Psaty, B. M., Gharib, S. A., O'Connor, G. T., Dupuis, J., Xu, J., Lohman, K., Liu, Y., Kritchevsky, S. B., Cassano, P. A., Flexeder, C., Gieger, C., Karrasch, S., Peters, A., Schulz, H., Harris, S. E., Starr, J. M., Deary, I. J., Manichaikul, A., Oelsner, E. C., Barr, R. G., Taylor, K. D., Rich, S. S., Bonten, T. N., Mook-Kanamori, D. O., Noordam, R., Li-Gao, R., Jarvelin, M. R., Wielscher, M., Terzikhan, N., Lahousse, L., Brusselle, G., Weiss, S., Ewert, R., Gläser, S., Homuth, G., Shrine, N., Hall, I. P., Tobin, M., London, S. J., Wei, P., & Morrison, A. C. (2021). Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function. Scientific reports, 11(1), 19365. https://doi.org/10.1038/s41598-021-98120-7
Yang, Tianzhong, et al. "Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function." Scientific reports vol. 11,1 (2021): 19365. doi: https://doi.org/10.1038/s41598-021-98120-7
Yang T, Jackson VE, Smith AV, Chen H, Bartz TM, Sitlani CM, Psaty BM, Gharib SA, O'Connor GT, Dupuis J, Xu J, Lohman K, Liu Y, Kritchevsky SB, Cassano PA, Flexeder C, Gieger C, Karrasch S, Peters A, Schulz H, Harris SE, Starr JM, Deary IJ, Manichaikul A, Oelsner EC, Barr RG, Taylor KD, Rich SS, Bonten TN, Mook-Kanamori DO, Noordam R, Li-Gao R, Jarvelin MR, Wielscher M, Terzikhan N, Lahousse L, Brusselle G, Weiss S, Ewert R, Gläser S, Homuth G, Shrine N, Hall IP, Tobin M, London SJ, Wei P, Morrison AC. Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function. Sci Rep. 2021 Sep 29;11(1):19365. doi: 10.1038/s41598-021-98120-7. PMID: 34588469; PMCID: PMC8481467.
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