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Showing 1 to 8 of 8 entries
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MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study.

Genes

Qiao Z, Powell JE, Evans DM.
PMID: 29361785
Genes (Basel). 2018 Jan 22;9(1). doi: 10.3390/genes9010053.

Disassortative mating refers to the phenomenon in which individuals with dissimilar genotypes and/or phenotypes mate with one another more frequently than would be expected by chance. Although the existence of disassortative mating is well established in plant and animal...

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Qiao Z, Powell JE, Evans DM. MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes (Basel). 2018;9(1)doi: 10.3390/genes9010053.
Qiao, Z., Powell, J. E., & Evans, D. M. (2018). MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes, 9(1), . https://doi.org/10.3390/genes9010053
Qiao, Zhen, et al. "MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study." Genes vol. 9,1 (2018). doi: https://doi.org/10.3390/genes9010053
Qiao Z, Powell JE, Evans DM. MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes (Basel). 2018 Jan 22;9(1). doi: 10.3390/genes9010053. PMID: 29361785; PMCID: PMC5793204.
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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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Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction.

Human molecular genetics

Palmer ND, Kahali B, Kuppa A, Chen Y, Du X, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Guo X, Smith AV, Ryan KA, Eirksdottir G, Allison MA, Bowden DW, Budoff MJ, Carr JJ, Chen YI, Taylor KD, Correa A, Crudup BF, Halligan B, Yang J, Kardia SLR, Launer LJ, Fu YP, Mosley TH, Norris JM, Terry JG, O'Donnell CJ, Rotter JI, Wagenknecht LE, Gudnason V, Province MA, Peyser PA, Speliotes EK.
PMID: 33856023
Hum Mol Genet. 2021 Jul 09;30(15):1443-1456. doi: 10.1093/hmg/ddab096.

Nonalcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease and is highly correlated with metabolic disease. NAFLD results from environmental exposures acting on a susceptible polygenic background. This study performed the largest multiethnic investigation of...

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Palmer ND, Kahali B, Kuppa A, et al. Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction. Hum Mol Genet. 2021;30(15):1443-1456doi: 10.1093/hmg/ddab096.
Palmer, N. D., Kahali, B., Kuppa, A., Chen, Y., Du, X., Feitosa, M. F., Bielak, L. F., O'Connell, J. R., Musani, S. K., Guo, X., Smith, A. V., Ryan, K. A., Eirksdottir, G., Allison, M. A., Bowden, D. W., Budoff, M. J., Carr, J. J., Chen, Y. I., Taylor, K. D., Correa, A., Crudup, B. F., Halligan, B., Yang, J., Kardia, S. L. R., Launer, L. J., Fu, Y. P., Mosley, T. H., Norris, J. M., Terry, J. G., O'Donnell, C. J., Rotter, J. I., Wagenknecht, L. E., Gudnason, V., Province, M. A., Peyser, P. A., & Speliotes, E. K. (2021). Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction. Human molecular genetics, 30(15), 1443-1456. https://doi.org/10.1093/hmg/ddab096
Palmer, Nicholette D, et al. "Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction." Human molecular genetics vol. 30,15 (2021): 1443-1456. doi: https://doi.org/10.1093/hmg/ddab096
Palmer ND, Kahali B, Kuppa A, Chen Y, Du X, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Guo X, Smith AV, Ryan KA, Eirksdottir G, Allison MA, Bowden DW, Budoff MJ, Carr JJ, Chen YI, Taylor KD, Correa A, Crudup BF, Halligan B, Yang J, Kardia SLR, Launer LJ, Fu YP, Mosley TH, Norris JM, Terry JG, O'Donnell CJ, Rotter JI, Wagenknecht LE, Gudnason V, Province MA, Peyser PA, Speliotes EK. Allele-specific variation at APOE increases nonalcoholic fatty liver disease and obesity but decreases risk of Alzheimer's disease and myocardial infarction. Hum Mol Genet. 2021 Jul 09;30(15):1443-1456. doi: 10.1093/hmg/ddab096. PMID: 33856023; PMCID: PMC8283205.
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Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data.

Mechanisms of ageing and development

Yashin AI, Wu D, Arbeev K, Bagley O, Akushevich I, Duan M, Yashkin A, Ukraintseva S.
PMID: 33798591
Mech Ageing Dev. 2021 Jun;196:111477. doi: 10.1016/j.mad.2021.111477. Epub 2021 Mar 30.

Emerging evidence from experimental and clinical research suggests that stress-related genes may play key roles in AD development. The fact that genome-wide association studies were not able to detect a contribution of such genes to AD indicates the possibility...

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Yashin AI, Wu D, Arbeev K, et al. Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data. Mech Ageing Dev. 2021;196:111477doi: 10.1016/j.mad.2021.111477.
Yashin, A. I., Wu, D., Arbeev, K., Bagley, O., Akushevich, I., Duan, M., Yashkin, A., & Ukraintseva, S. (2021). Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data. Mechanisms of ageing and development, 196111477. https://doi.org/10.1016/j.mad.2021.111477
Yashin, Anatoliy I, et al. "Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data." Mechanisms of ageing and development vol. 196 (2021): 111477. doi: https://doi.org/10.1016/j.mad.2021.111477
Yashin AI, Wu D, Arbeev K, Bagley O, Akushevich I, Duan M, Yashkin A, Ukraintseva S. Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data. Mech Ageing Dev. 2021 Jun;196:111477. doi: 10.1016/j.mad.2021.111477. Epub 2021 Mar 30. PMID: 33798591; PMCID: PMC8173104.
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The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data.

Sociological science

Conley D, Domingue B.
PMID: 29130056
Sociol Sci. 2016 Jul;3:520-539. doi: 10.15195/v3.a23. Epub 2016 Jul 05.

In 1994, the publication of Herrnstein's and Murray's The Bell Curve resulted in a social science maelstrom of responses. In the present study, we argue that Herrnstein's and Murray's assertions were made prematurely, on their own terms, given the...

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Conley D, Domingue B. The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data. Sociol Sci. 2016;3:520-539doi: 10.15195/v3.a23.
Conley, D., & Domingue, B. (2016). The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data. Sociological science, 3520-539. https://doi.org/10.15195/v3.a23
Conley, Dalton, and Domingue, Benjamin. "The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data." Sociological science vol. 3 (2016): 520-539. doi: https://doi.org/10.15195/v3.a23
Conley D, Domingue B. The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data. Sociol Sci. 2016 Jul;3:520-539. doi: 10.15195/v3.a23. Epub 2016 Jul 05. PMID: 29130056; PMCID: PMC5679002.
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Genetic and regulatory architecture of Alzheimer's disease in the .

Alzheimer's & dementia (Amsterdam, Netherlands)

Kulminski AM, Shu L, Loika Y, He L, Nazarian A, Arbeev K, Ukraintseva S, Yashin A, Culminskaya I.
PMID: 32211503
Alzheimers Dement (Amst). 2020 Feb 06;12(1):e12008. doi: 10.1002/dad2.12008. eCollection 2020.

INTRODUCTION: Apolipoprotein E (METHODS: We examined differences in linkage disequilibrium (LD) structures between (1) AD-affected and unaffected subjects and (2) older AD-unaffected and younger subjects in the 19q13.3 region harboring rs7412 and rs429358.RESULTS: AD is associated with sex-nonspecific heterogeneous...

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Kulminski AM, Shu L, Loika Y, et al. Genetic and regulatory architecture of Alzheimer's disease in the . Alzheimers Dement (Amst). 2020;12(1):e12008doi: 10.1002/dad2.12008.
Kulminski, A. M., Shu, L., Loika, Y., He, L., Nazarian, A., Arbeev, K., Ukraintseva, S., Yashin, A., & Culminskaya, I. (2020). Genetic and regulatory architecture of Alzheimer's disease in the . Alzheimer's & dementia (Amsterdam, Netherlands), 12(1), e12008. https://doi.org/10.1002/dad2.12008
Kulminski, Alexander M, et al. "Genetic and regulatory architecture of Alzheimer's disease in the ." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 12,1 (2020): e12008. doi: https://doi.org/10.1002/dad2.12008
Kulminski AM, Shu L, Loika Y, He L, Nazarian A, Arbeev K, Ukraintseva S, Yashin A, Culminskaya I. Genetic and regulatory architecture of Alzheimer's disease in the . Alzheimers Dement (Amst). 2020 Feb 06;12(1):e12008. doi: 10.1002/dad2.12008. eCollection 2020. PMID: 32211503; PMCID: PMC7085286.
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Hidden heritability due to heterogeneity across seven populations.

Nature human behaviour

Tropf FC, Lee SH, Verweij RM, Stulp G, van der Most PJ, de Vlaming R, Bakshi A, Briley DA, Rahal C, Hellpap R, Iliadou AN, Esko T, Metspalu A, Medland SE, Martin NG, Barban N, Snieder H, Robinson MR, Mills MC.
PMID: 29051922
Nat Hum Behav. 2017 Oct;1(10):757-765. doi: 10.1038/s41562-017-0195-1. Epub 2017 Sep 11.

Meta-analyses of genome-wide association studies (GWAS), which dominate genetic discovery are based on data from diverse historical time periods and populations. Genetic scores derived from GWAS explain only a fraction of the heritability estimates obtained from whole-genome studies on...

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Tropf FC, Lee SH, Verweij RM, et al. Hidden heritability due to heterogeneity across seven populations. Nat Hum Behav. 2017;1(10):757-765doi: 10.1038/s41562-017-0195-1.
Tropf, F. C., Lee, S. H., Verweij, R. M., Stulp, G., van der Most, P. J., de Vlaming, R., Bakshi, A., Briley, D. A., Rahal, C., Hellpap, R., Iliadou, A. N., Esko, T., Metspalu, A., Medland, S. E., Martin, N. G., Barban, N., Snieder, H., Robinson, M. R., & Mills, M. C. (2017). Hidden heritability due to heterogeneity across seven populations. Nature human behaviour, 1(10), 757-765. https://doi.org/10.1038/s41562-017-0195-1
Tropf, Felix C, et al. "Hidden heritability due to heterogeneity across seven populations." Nature human behaviour vol. 1,10 (2017): 757-765. doi: https://doi.org/10.1038/s41562-017-0195-1
Tropf FC, Lee SH, Verweij RM, Stulp G, van der Most PJ, de Vlaming R, Bakshi A, Briley DA, Rahal C, Hellpap R, Iliadou AN, Esko T, Metspalu A, Medland SE, Martin NG, Barban N, Snieder H, Robinson MR, Mills MC. Hidden heritability due to heterogeneity across seven populations. Nat Hum Behav. 2017 Oct;1(10):757-765. doi: 10.1038/s41562-017-0195-1. Epub 2017 Sep 11. PMID: 29051922; PMCID: PMC5642946.
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PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics.

Genome biology

Zhao Z, Yi Y, Song J, Wu Y, Zhong X, Lin Y, Hohman TJ, Fletcher J, Lu Q.
PMID: 34488838
Genome Biol. 2021 Sep 06;22(1):257. doi: 10.1186/s13059-021-02479-9.

Polygenic risk scores (PRSs) have wide applications in human genetics research, but often include tuning parameters which are difficult to optimize in practice due to limited access to individual-level data. Here, we introduce PUMAS, a novel method to fine-tune...

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Zhao Z, Yi Y, Song J, et al. PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics. Genome Biol. 2021;22(1):257doi: 10.1186/s13059-021-02479-9.
Zhao, Z., Yi, Y., Song, J., Wu, Y., Zhong, X., Lin, Y., Hohman, T. J., Fletcher, J., & Lu, Q. (2021). PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics. Genome biology, 22(1), 257. https://doi.org/10.1186/s13059-021-02479-9
Zhao, Zijie, et al. "PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics." Genome biology vol. 22,1 (2021): 257. doi: https://doi.org/10.1186/s13059-021-02479-9
Zhao Z, Yi Y, Song J, Wu Y, Zhong X, Lin Y, Hohman TJ, Fletcher J, Lu Q. PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics. Genome Biol. 2021 Sep 06;22(1):257. doi: 10.1186/s13059-021-02479-9. PMID: 34488838; PMCID: PMC8419981.
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Showing 1 to 8 of 8 entries