Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 25 to 36 of 135 entries
Sorted by: Best Match Show Resources per page
[No title available]

Blood cancer discovery

Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL.
PMID: 34568833
Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14.

Clonal hematopoiesis results from somatic mutations in cancer driver genes in hematopoietic stem cells. We sought to identify novel drivers of clonal expansion using an unbiased analysis of sequencing data from 84,683 persons and identified common mutations in the...

Cite
Beauchamp EM, Leventhal M, Bernard E, et al. . Blood Cancer Discov. 2021;2(5):500-517doi: 10.1158/2643-3230.BCD-20-0224.
Beauchamp, E. M., Leventhal, M., Bernard, E., Hoppe, E. R., Todisco, G., Creignou, M., Gallì, A., Castellano, C. A., McConkey, M., Tarun, A., Wong, W., Schenone, M., Stanclift, C., Tanenbaum, B., Malolepsza, E., Nilsson, B., Bick, A. G., Weinstock, J. S., Miller, M., Niroula, A., Dunford, A., Taylor-Weiner, A., Wood, T., Barbera, A., Anand, S., Psaty, B. M., Desai, P., Cho, M. H., Johnson, A. D., Loos, R., MacArthur, D. G., Lek, M., Neuberg, D. S., Lage, K., Carr, S. A., Hellstrom-Lindberg, E., Malcovati, L., Papaemmanuil, E., Stewart, C., Getz, G., Bradley, R. K., Jaiswal, S., & Ebert, B. L. (2021). . Blood cancer discovery, 2(5), 500-517. https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp, Ellen M, et al. "." Blood cancer discovery vol. 2,5 (2021): 500-517. doi: https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL. . Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14. PMID: 34568833; PMCID: PMC8462124.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases.

Frontiers in genetics

He L, Kernogitski Y, Kulminskaya I, Loika Y, Arbeev KG, Loiko E, Bagley O, Duan M, Yashkin A, Ukraintseva SV, Kovtun M, Yashin AI, Kulminski AM.
PMID: 27790247
Front Genet. 2016 Oct 13;7:179. doi: 10.3389/fgene.2016.00179. eCollection 2016.

Age-related diseases may result from shared biological mechanisms in intrinsic processes of aging. Genetic effects on age-related diseases are often modulated by environmental factors due to their little contribution to fitness or are mediated through certain endophenotypes. Identification of...

Cite
He L, Kernogitski Y, Kulminskaya I, et al. Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Front Genet. 2016;7:179doi: 10.3389/fgene.2016.00179.
He, L., Kernogitski, Y., Kulminskaya, I., Loika, Y., Arbeev, K. G., Loiko, E., Bagley, O., Duan, M., Yashkin, A., Ukraintseva, S. V., Kovtun, M., Yashin, A. I., & Kulminski, A. M. (2016). Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Frontiers in genetics, 7179. https://doi.org/10.3389/fgene.2016.00179
He, Liang, et al. "Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases." Frontiers in genetics vol. 7 (2016): 179. doi: https://doi.org/10.3389/fgene.2016.00179
He L, Kernogitski Y, Kulminskaya I, Loika Y, Arbeev KG, Loiko E, Bagley O, Duan M, Yashkin A, Ukraintseva SV, Kovtun M, Yashin AI, Kulminski AM. Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Front Genet. 2016 Oct 13;7:179. doi: 10.3389/fgene.2016.00179. eCollection 2016. PMID: 27790247; PMCID: PMC5061751.
Copy Download .nbib Format: NLM
Autonomic Imbalance and Risk of Dementia and Stroke: The Framingham Study.

Stroke

Weinstein G, Davis-Plourde K, Beiser AS, Seshadri S.
PMID: 33874747
Stroke. 2021 Jun;52(6):2068-2076. doi: 10.1161/STROKEAHA.120.030601. Epub 2021 Apr 20.

BACKGROUND AND PURPOSE: The autonomic nervous system has been implicated in stroke and dementia pathophysiology. High resting heart rate and low heart rate variability indicate the effect of autonomic imbalance on the heart. We examined the associations of resting...

Cite
Weinstein G, Davis-Plourde K, Beiser AS, et al. Autonomic Imbalance and Risk of Dementia and Stroke: The Framingham Study. Stroke. 2021;52(6):2068-2076doi: 10.1161/STROKEAHA.120.030601.
Weinstein, G., Davis-Plourde, K., Beiser, A. S., & Seshadri, S. (2021). Autonomic Imbalance and Risk of Dementia and Stroke: The Framingham Study. Stroke, 52(6), 2068-2076. https://doi.org/10.1161/STROKEAHA.120.030601
Weinstein, Galit, et al. "Autonomic Imbalance and Risk of Dementia and Stroke: The Framingham Study." Stroke vol. 52,6 (2021): 2068-2076. doi: https://doi.org/10.1161/STROKEAHA.120.030601
Weinstein G, Davis-Plourde K, Beiser AS, Seshadri S. Autonomic Imbalance and Risk of Dementia and Stroke: The Framingham Study. Stroke. 2021 Jun;52(6):2068-2076. doi: 10.1161/STROKEAHA.120.030601. Epub 2021 Apr 20. PMID: 33874747; PMCID: PMC8154675.
Copy Download .nbib Format: NLM
Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk.

JCI insight

Ngo D, Benson MD, Long JZ, Chen ZZ, Wang R, Nath AK, Keyes MJ, Shen D, Sinha S, Kuhn E, Morningstar JE, Shi X, Peterson BD, Chan C, Katz DH, Tahir UA, Farrell LA, Melander O, Mosley JD, Carr SA, Vasan RS, Larson MG, Smith JG, Wang TJ, Yang Q, Gerszten RE.
PMID: 33591955
JCI Insight. 2021 Mar 08;6(5). doi: 10.1172/jci.insight.144392.

Recent advances in proteomic technologies have made high-throughput profiling of low-abundance proteins in large epidemiological cohorts increasingly feasible. We investigated whether aptamer-based proteomic profiling could identify biomarkers associated with future development of type 2 diabetes (T2DM) beyond known risk...

Cite
Ngo D, Benson MD, Long JZ, et al. Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk. JCI Insight. 2021;6(5)doi: 10.1172/jci.insight.144392.
Ngo, D., Benson, M. D., Long, J. Z., Chen, Z. Z., Wang, R., Nath, A. K., Keyes, M. J., Shen, D., Sinha, S., Kuhn, E., Morningstar, J. E., Shi, X., Peterson, B. D., Chan, C., Katz, D. H., Tahir, U. A., Farrell, L. A., Melander, O., Mosley, J. D., Carr, S. A., Vasan, R. S., Larson, M. G., Smith, J. G., Wang, T. J., Yang, Q., & Gerszten, R. E. (2021). Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk. JCI insight, 6(5), . https://doi.org/10.1172/jci.insight.144392
Ngo, Debby, et al. "Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk." JCI insight vol. 6,5 (2021). doi: https://doi.org/10.1172/jci.insight.144392
Ngo D, Benson MD, Long JZ, Chen ZZ, Wang R, Nath AK, Keyes MJ, Shen D, Sinha S, Kuhn E, Morningstar JE, Shi X, Peterson BD, Chan C, Katz DH, Tahir UA, Farrell LA, Melander O, Mosley JD, Carr SA, Vasan RS, Larson MG, Smith JG, Wang TJ, Yang Q, Gerszten RE. Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk. JCI Insight. 2021 Mar 08;6(5). doi: 10.1172/jci.insight.144392. PMID: 33591955; PMCID: PMC8021115.
Copy Download .nbib Format: NLM
A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood.

Frontiers in genetics

Jiang J, Thalamuthu A, Ho JE, Mahajan A, Ek WE, Brown DA, Breit SN, Wang TJ, Gyllensten U, Chen MH, Enroth S, Januzzi JL, Lind L, Armstrong NJ, Kwok JB, Schofield PR, Wen W, Trollor JN, Johansson Å, Morris AP, Vasan RS, Sachdev PS, Mather KA.
PMID: 29628937
Front Genet. 2018 Mar 23;9:97. doi: 10.3389/fgene.2018.00097. eCollection 2018.

Blood levels of growth differentiation factor-15 (GDF-15), also known as macrophage inhibitory cytokine-1 (MIC-1), have been associated with various pathological processes and diseases, including cardiovascular disease and cancer. Prior studies suggest genetic factors play a role in regulating blood...

Cite
Jiang J, Thalamuthu A, Ho JE, et al. A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood. Front Genet. 2018;9:97doi: 10.3389/fgene.2018.00097.
Jiang, J., Thalamuthu, A., Ho, J. E., Mahajan, A., Ek, W. E., Brown, D. A., Breit, S. N., Wang, T. J., Gyllensten, U., Chen, M. H., Enroth, S., Januzzi, J. L., Lind, L., Armstrong, N. J., Kwok, J. B., Schofield, P. R., Wen, W., Trollor, J. N., Johansson, �. �., Morris, A. P., Vasan, R. S., Sachdev, P. S., & Mather, K. A. (2018). A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood. Frontiers in genetics, 997. https://doi.org/10.3389/fgene.2018.00097
Jiang, Jiyang, et al. "A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood." Frontiers in genetics vol. 9 (2018): 97. doi: https://doi.org/10.3389/fgene.2018.00097
Jiang J, Thalamuthu A, Ho JE, Mahajan A, Ek WE, Brown DA, Breit SN, Wang TJ, Gyllensten U, Chen MH, Enroth S, Januzzi JL, Lind L, Armstrong NJ, Kwok JB, Schofield PR, Wen W, Trollor JN, Johansson Å, Morris AP, Vasan RS, Sachdev PS, Mather KA. A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood. Front Genet. 2018 Mar 23;9:97. doi: 10.3389/fgene.2018.00097. eCollection 2018. PMID: 29628937; PMCID: PMC5876753.
Copy Download .nbib Format: NLM
Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets.

Alzheimer's & dementia (New York, N. Y.)

Evans S, McRae-McKee K, Hadjichrysanthou C, Wong MM, Ames D, Lopez O, de Wolf F, Anderson RM.
PMID: 31650008
Alzheimers Dement (N Y). 2019 Oct 03;5:515-523. doi: 10.1016/j.trci.2019.04.005. eCollection 2019.

There exist a large number of cohort studies that have been used to identify genetic and biological risk factors for developing Alzheimer's disease (AD). However, there is a disagreement between studies as to how strongly these risk factors affect...

Cite
Evans S, McRae-McKee K, Hadjichrysanthou C, et al. Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets. Alzheimers Dement (N Y). 2019;5:515-523doi: 10.1016/j.trci.2019.04.005.
Evans, S., McRae-McKee, K., Hadjichrysanthou, C., Wong, M. M., Ames, D., Lopez, O., de Wolf, F., Anderson, R. M. (2019). Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets. Alzheimer's & dementia (New York, N. Y.), 5515-523. https://doi.org/10.1016/j.trci.2019.04.005
Evans, Stephanie, et al. "Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets." Alzheimer's & dementia (New York, N. Y.) vol. 5 (2019): 515-523. doi: https://doi.org/10.1016/j.trci.2019.04.005
Evans S, McRae-McKee K, Hadjichrysanthou C, Wong MM, Ames D, Lopez O, de Wolf F, Anderson RM. Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets. Alzheimers Dement (N Y). 2019 Oct 03;5:515-523. doi: 10.1016/j.trci.2019.04.005. eCollection 2019. PMID: 31650008; PMCID: PMC6804515.
Copy Download .nbib Format: NLM
Lifetime Prevalence and Prognosis of Prediabetes Without Progression to Diabetes.

Diabetes care

Echouffo-Tcheugui JB, Niiranen TJ, McCabe EL, Jain M, Vasan RS, Larson MG, Cheng S.
PMID: 29724784
Diabetes Care. 2018 Jul;41(7):e117-e118. doi: 10.2337/dc18-0524. Epub 2018 May 03.

No abstract available.

Cite
Echouffo-Tcheugui JB, Niiranen TJ, McCabe EL, et al. Lifetime Prevalence and Prognosis of Prediabetes Without Progression to Diabetes. Diabetes Care. 2018;41(7):e117-e118doi: 10.2337/dc18-0524.
Echouffo-Tcheugui, J. B., Niiranen, T. J., McCabe, E. L., Jain, M., Vasan, R. S., Larson, M. G., & Cheng, S. (2018). Lifetime Prevalence and Prognosis of Prediabetes Without Progression to Diabetes. Diabetes care, 41(7), e117-e118. https://doi.org/10.2337/dc18-0524
Echouffo-Tcheugui, Justin B, et al. "Lifetime Prevalence and Prognosis of Prediabetes Without Progression to Diabetes." Diabetes care vol. 41,7 (2018): e117-e118. doi: https://doi.org/10.2337/dc18-0524
Echouffo-Tcheugui JB, Niiranen TJ, McCabe EL, Jain M, Vasan RS, Larson MG, Cheng S. Lifetime Prevalence and Prognosis of Prediabetes Without Progression to Diabetes. Diabetes Care. 2018 Jul;41(7):e117-e118. doi: 10.2337/dc18-0524. Epub 2018 May 03. PMID: 29724784; PMCID: PMC6014534.
Copy Download .nbib Format: NLM
Food choices and peer relationships: Examining 'a taste for necessity' in a network context.

Sociologie et societes

Pachucki MC.
PMID: 27226654
Sociol Soc. 2014;46(2):229-252. doi: 10.7202/1027149ar.

The knowledge of how our taste preferences in food are shaped by our social lives has largely developed without attention to the roles played by relationships with other people. While the well-known sociological work of Pierre Bourdieu highlights the...

Cite
Pachucki MC. Food choices and peer relationships: Examining 'a taste for necessity' in a network context. Sociol Soc. 2014;46(2):229-252doi: 10.7202/1027149ar.
Pachucki, M. C. (2014). Food choices and peer relationships: Examining 'a taste for necessity' in a network context. Sociologie et societes, 46(2), 229-252. https://doi.org/10.7202/1027149ar
Pachucki, Mark C. "Food choices and peer relationships: Examining 'a taste for necessity' in a network context." Sociologie et societes vol. 46,2 (2014): 229-252. doi: https://doi.org/10.7202/1027149ar
Pachucki MC. Food choices and peer relationships: Examining 'a taste for necessity' in a network context. Sociol Soc. 2014;46(2):229-252. doi: 10.7202/1027149ar. PMID: 27226654; PMCID: PMC4877025.
Copy Download .nbib Format: NLM
Cardiovascular risk factors among women with self-reported infertility.

Fertility research and practice

Mahalingaiah S, Sun F, Cheng JJ, Chow ET, Lunetta KL, Murabito JM.
PMID: 28620545
Fertil Res Pract. 2017 Apr 11;3:7. doi: 10.1186/s40738-017-0034-0. eCollection 2017.

BACKGROUND: Amongst women with certain types of ovulatory disorder infertility, the studies are conflicting whether there is an increased risk of long-term cardiovascular disease risk. This paper evaluates the associations of several CVD risk factors among Framingham women with...

Cite
Mahalingaiah S, Sun F, Cheng JJ, et al. Cardiovascular risk factors among women with self-reported infertility. Fertil Res Pract. 2017;3:7doi: 10.1186/s40738-017-0034-0.
Mahalingaiah, S., Sun, F., Cheng, J. J., Chow, E. T., Lunetta, K. L., & Murabito, J. M. (2017). Cardiovascular risk factors among women with self-reported infertility. Fertility research and practice, 37. https://doi.org/10.1186/s40738-017-0034-0
Mahalingaiah, Shruthi, et al. "Cardiovascular risk factors among women with self-reported infertility." Fertility research and practice vol. 3 (2017): 7. doi: https://doi.org/10.1186/s40738-017-0034-0
Mahalingaiah S, Sun F, Cheng JJ, Chow ET, Lunetta KL, Murabito JM. Cardiovascular risk factors among women with self-reported infertility. Fertil Res Pract. 2017 Apr 11;3:7. doi: 10.1186/s40738-017-0034-0. eCollection 2017. PMID: 28620545; PMCID: PMC5424365.
Copy Download .nbib Format: NLM
Cardiovascular Disease Risk Assessment: Insights from Framingham.

Global heart

D'Agostino RB, Pencina MJ, Massaro JM, Coady S.
PMID: 23750335
Glob Heart. 2013 Mar;8(1):11-23. doi: 10.1016/j.gheart.2013.01.001.

Cardiovascular disease (CVD) is among the leading causes of death and disability worldwide. Since its beginning, the Framingham study has been a leader in identifying CVD risk factors. Clinical trials have demonstrated that when the modifiable risk factors are...

Cite
D'Agostino RB, Pencina MJ, Massaro JM, et al. Cardiovascular Disease Risk Assessment: Insights from Framingham. Glob Heart. 2013;8(1):11-23doi: 10.1016/j.gheart.2013.01.001.
D'Agostino, R. B., Pencina, M. J., Massaro, J. M., & Coady, S. (2013). Cardiovascular Disease Risk Assessment: Insights from Framingham. Global heart, 8(1), 11-23. https://doi.org/10.1016/j.gheart.2013.01.001
D'Agostino, Ralph B, et al. "Cardiovascular Disease Risk Assessment: Insights from Framingham." Global heart vol. 8,1 (2013): 11-23. doi: https://doi.org/10.1016/j.gheart.2013.01.001
D'Agostino RB, Pencina MJ, Massaro JM, Coady S. Cardiovascular Disease Risk Assessment: Insights from Framingham. Glob Heart. 2013 Mar;8(1):11-23. doi: 10.1016/j.gheart.2013.01.001. PMID: 23750335; PMCID: PMC3673738.
Copy Download .nbib Format: NLM
Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing.

Journal of the Royal Statistical Society. Series C, Applied statistics

Wang Y, Huang C, Fang Y, Yang Q, Li R.
PMID: 22581986
J R Stat Soc Ser C Appl Stat. 2012 Jan;61(1):1-24. doi: 10.1111/j.1467-9876.2011.01016.x. Epub 2011 Oct 10.

In family-based longitudinal genetic studies, investigators collect repeated measurements on a trait that changes with time along with genetic markers. Since repeated measurements are nested within subjects and subjects are nested within families, both the subject-level and measurement-level correlations...

Cite
Wang Y, Huang C, Fang Y, et al. Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing. J R Stat Soc Ser C Appl Stat. 2011;61(1):1-24doi: 10.1111/j.1467-9876.2011.01016.x.
Wang, Y., Huang, C., Fang, Y., Yang, Q., & Li, R. (2012). Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing. Journal of the Royal Statistical Society. Series C, Applied statistics, 61(1), 1-24. https://doi.org/10.1111/j.1467-9876.2011.01016.x
Wang, Yuanjia, et al. "Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing." Journal of the Royal Statistical Society. Series C, Applied statistics vol. 61,1 (2012): 1-24. doi: https://doi.org/10.1111/j.1467-9876.2011.01016.x
Wang Y, Huang C, Fang Y, Yang Q, Li R. Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing. J R Stat Soc Ser C Appl Stat. 2012 Jan;61(1):1-24. doi: 10.1111/j.1467-9876.2011.01016.x. Epub 2011 Oct 10. PMID: 22581986; PMCID: PMC3348702.
Copy Download .nbib Format: NLM
Showing 25 to 36 of 135 entries