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Items: 1 to 50 of 224

1.

Pleiotropic Meta-Analysis of Age-Related Phenotypes Addressing Evolutionary Uncertainty in Their Molecular Mechanisms.

Kulminski AM, Loika Y, Huang J, Arbeev KG, Bagley O, Ukraintseva S, Yashin AI, Culminskaya I.

Front Genet. 2019 May 10;10:433. doi: 10.3389/fgene.2019.00433. eCollection 2019.

2.

Partitioning of time trends in prevalence and mortality of lung cancer.

Akushevich I, Kravchenko J, Yashkin AP, Fang F, Yashin AI.

Stat Med. 2019 May 13. doi: 10.1002/sim.8170. [Epub ahead of print]

PMID:
31087384
3.

Genome-wide analysis of genetic predisposition to Alzheimer's disease and related sex disparities.

Nazarian A, Yashin AI, Kulminski AM.

Alzheimers Res Ther. 2019 Jan 12;11(1):5. doi: 10.1186/s13195-018-0458-8.

4.

A forecasting model of disease prevalence based on the McKendrick-von Foerster equation.

Akushevich I, Yashkin A, Kravchenko J, Fang F, Arbeev K, Sloan F, Yashin AI.

Math Biosci. 2019 May;311:31-38. doi: 10.1016/j.mbs.2018.12.017. Epub 2018 Dec 28.

PMID:
30597156
5.

Independent associations of TOMM40 and APOE variants with body mass index.

Kulminski AM, Loika Y, Culminskaya I, Huang J, Arbeev KG, Bagley O, Feitosa MF, Zmuda JM, Christensen K, Yashin AI; Long Life Family Study Research Group.

Aging Cell. 2019 Feb;18(1):e12869. doi: 10.1111/acel.12869. Epub 2018 Nov 21.

6.

The APOE ε4 allele is associated with a reduction in FEV1/FVC in women: A cross-sectional analysis of the Long Life Family Study.

Kulminski AM, Barochia AV, Loika Y, Raghavachari N, Arbeev KG, Wojczynski MK, Thyagarajan B, Vardarajan BN, Christensen K, Yashin AI, Levine SJ.

PLoS One. 2018 Nov 9;13(11):e0206873. doi: 10.1371/journal.pone.0206873. eCollection 2018.

7.

How Well Does the Family Longevity Selection Score Work: A Validation Test Using the Utah Population Database.

Arbeeva LS, Hanson HA, Arbeev KG, Kulminski AM, Stallard E, Ukraintseva SV, Wu D, Boudreau RM, Province MA, Smith KR, Yashin AI.

Front Public Health. 2018 Oct 1;6:277. doi: 10.3389/fpubh.2018.00277. eCollection 2018.

8.

Genetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study.

Yashin AI, Arbeev KG, Wu D, Arbeeva LS, Bagley O, Stallard E, Kulminski AM, Akushevich I, Fang F, Wojczynski MK, Christensen K, Newman AB, Boudreau RM, Province MA, Thielke S, Perls TT, An P, Elo I, Ukraintseva SV.

J Gerontol A Biol Sci Med Sci. 2018 Oct 8;73(11):1472-1481. doi: 10.1093/gerona/gly057.

PMID:
30299504
9.

"Physiological Dysregulation" as a Promising Measure of Robustness and Resilience in Studies of Aging and a New Indicator of Preclinical Disease.

Arbeev KG, Ukraintseva SV, Bagley O, Zhbannikov IY, Cohen AA, Kulminski AM, Yashin AI.

J Gerontol A Biol Sci Med Sci. 2019 Mar 14;74(4):462-468. doi: 10.1093/gerona/gly136.

10.

Time trends in the prevalence of cancer and non-cancer diseases among older U.S. adults: Medicare-based analysis.

Akushevich I, Kravchenko J, Yashkin AP, Yashin AI.

Exp Gerontol. 2018 Sep;110:267-276. doi: 10.1016/j.exger.2018.06.017. Epub 2018 Jun 19.

PMID:
29932968
11.

Time Trends in the Prevalence of Neurocognitive Disorders and Cognitive Impairment in the United States: The Effects of Disease Severity and Improved Ascertainment.

Akushevich I, Yashkin AP, Kravchenko J, Ukraintseva S, Stallard E, Yashin AI.

J Alzheimers Dis. 2018;64(1):137-148. doi: 10.3233/JAD-180060.

12.

Identifying the causes of the changes in the prevalence patterns of diabetes in older U.S. adults: A new trend partitioning approach.

Akushevich I, Yashkin AP, Kravchenko J, Fang F, Arbeev K, Sloan F, Yashin AI.

J Diabetes Complications. 2018 Apr;32(4):362-367. doi: 10.1016/j.jdiacomp.2017.12.014. Epub 2018 Jan 6.

13.

Corrigendum: Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases.

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.

Front Genet. 2018 Jan 12;8:226. doi: 10.3389/fgene.2017.00226. eCollection 2017.

14.

Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses.

Yashin AI, Fang F, Kovtun M, Wu D, Duan M, Arbeev K, Akushevich I, Kulminski A, Culminskaya I, Zhbannikov I, Yashkin A, Stallard E, Ukraintseva S.

Exp Gerontol. 2018 Jul 1;107:148-160. doi: 10.1016/j.exger.2017.10.020. Epub 2017 Oct 26.

PMID:
29107063
15.

Mortality and Macrovascular Risk in Elderly With Hypertension and Diabetes: Effect of Intensive Drug Therapy.

Yashkin AP, Kravchenko J, Yashin AI, Sloan F.

Am J Hypertens. 2018 Jan 12;31(2):220-227. doi: 10.1093/ajh/hpx151.

16.

cophesim: a comprehensive phenotype simulator for testing novel association methods.

Zhbannikov IY, Arbeev KG, Yashin AI.

F1000Res. 2017 Aug 1;6:1294. doi: 10.12688/f1000research.11968.1. eCollection 2017.

17.

Causal effects of cardiovascular risk factors on onset of major age-related diseases: A time-to-event Mendelian randomization study.

He L, Culminskaya I, Loika Y, Arbeev KG, Bagley O, Duan M, Yashin AI, Kulminski AM.

Exp Gerontol. 2018 Jul 1;107:74-86. doi: 10.1016/j.exger.2017.09.019. Epub 2017 Sep 28.

PMID:
28964830
18.

A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data.

He L, Zhbannikov I, Arbeev KG, Yashin AI, Kulminski AM.

Genet Epidemiol. 2017 Nov;41(7):620-635. doi: 10.1002/gepi.22058. Epub 2017 Jun 21.

19.

rqt: an R package for gene-level meta-analysis.

Zhbannikov IY, Arbeev KG, Yashin AI.

Bioinformatics. 2017 Oct 1;33(19):3129-3130. doi: 10.1093/bioinformatics/btx395.

20.

haploR: an R package for querying web-based annotation tools.

Zhbannikov IY, Arbeev K, Ukraintseva S, Yashin AI.

Version 2. F1000Res. 2017 Feb 1 [revised 2017 Jan 1];6:97. doi: 10.12688/f1000research.10742.2. eCollection 2017.

21.

Telomeres and the natural lifespan limit in humans.

Steenstrup T, Kark JD, Verhulst S, Thinggaard M, Hjelmborg JVB, Dalgård C, Kyvik KO, Christiansen L, Mangino M, Spector TD, Petersen I, Kimura M, Benetos A, Labat C, Sinnreich R, Hwang SJ, Levy D, Hunt SC, Fitzpatrick AL, Chen W, Berenson GS, Barbieri M, Paolisso G, Gadalla SM, Savage SA, Christensen K, Yashin AI, Arbeev KG, Aviv A.

Aging (Albany NY). 2017 Apr;9(4):1130-1142. doi: 10.18632/aging.101216.

22.

stpm: an R package for stochastic process model.

Zhbannikov IY, Arbeev K, Akushevich I, Stallard E, Yashin AI.

BMC Bioinformatics. 2017 Feb 23;18(1):125. doi: 10.1186/s12859-017-1538-7.

23.

Theory of partitioning of disease prevalence and mortality in observational data.

Akushevich I, Yashkin AP, Kravchenko J, Fang F, Arbeev K, Sloan F, Yashin AI.

Theor Popul Biol. 2017 Apr;114:117-127. doi: 10.1016/j.tpb.2017.01.003. Epub 2017 Jan 24.

24.

Pure and Confounded Effects of Causal SNPs on Longevity: Insights for Proper Interpretation of Research Findings in GWAS of Populations with Different Genetic Structures.

Yashin AI, Zhbannikov I, Arbeeva L, Arbeev KG, Wu D, Akushevich I, Yashkin A, Kovtun M, Kulminski AM, Stallard E, Kulminskaya I, Ukraintseva S.

Front Genet. 2016 Nov 8;7:188. eCollection 2016.

25.

Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality.

Kulminski AM, He L, Culminskaya I, Loika Y, Kernogitski Y, Arbeev KG, Loiko E, Arbeeva L, Bagley O, Duan M, Yashkin A, Fang F, Kovtun M, Ukraintseva SV, Wu D, Yashin AI.

PLoS Genet. 2016 Nov 10;12(11):e1006314. doi: 10.1371/journal.pgen.1006314. eCollection 2016 Nov.

26.

Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases.

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.

Front Genet. 2016 Oct 13;7:179. eCollection 2016. Erratum in: Front Genet. 2018 Jan 12;8:226.

27.

How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.

Yashin AI, Arbeev KG, Wu D, Arbeeva L, Kulminski A, Kulminskaya I, Akushevich I, Ukraintseva SV.

N Am Actuar J. 2016;20(3):201-232. Epub 2016 Jun 22.

28.

Explicating heterogeneity of complex traits has strong potential for improving GWAS efficiency.

Kulminski AM, Loika Y, Culminskaya I, Arbeev KG, Ukraintseva SV, Stallard E, Yashin AI.

Sci Rep. 2016 Oct 14;6:35390. doi: 10.1038/srep35390.

29.

Uncoupling associations of risk alleles with endophenotypes and phenotypes: insights from the ApoB locus and heart-related traits.

Kulminski AM, Kernogitski Y, Culminskaya I, Loika Y, Arbeev KG, Bagley O, Duan M, Arbeeva L, Ukraintseva SV, Wu D, Stallard E, Yashin AI.

Aging Cell. 2017 Feb;16(1):61-72. doi: 10.1111/acel.12526. Epub 2016 Sep 28.

30.

The Survival of Spouses Marrying Into Longevity-Enriched Families.

Pedersen JK, Elo IT, Schupf N, Perls TT, Stallard E, Yashin AI, Christensen K.

J Gerontol A Biol Sci Med Sci. 2017 Jan;72(1):109-114. Epub 2016 Aug 18.

31.

Protective role of the apolipoprotein E2 allele in age-related disease traits and survival: evidence from the Long Life Family Study.

Kulminski AM, Raghavachari N, Arbeev KG, Culminskaya I, Arbeeva L, Wu D, Ukraintseva SV, Christensen K, Yashin AI.

Biogerontology. 2016 Nov;17(5-6):893-905. Epub 2016 Jul 22.

32.

Resilience Versus Robustness in Aging.

Ukraintseva S, Yashin AI, Arbeev KG.

J Gerontol A Biol Sci Med Sci. 2016 Nov;71(11):1533-1534. Epub 2016 May 4. No abstract available.

33.

Dynamics of biomarkers in relation to aging and mortality.

Arbeev KG, Ukraintseva SV, Yashin AI.

Mech Ageing Dev. 2016 Jun;156:42-54. doi: 10.1016/j.mad.2016.04.010. Epub 2016 Apr 29. Review.

34.

Optimal Versus Realized Trajectories of Physiological Dysregulation in Aging and Their Relation to Sex-Specific Mortality Risk.

Arbeev KG, Cohen AA, Arbeeva LS, Milot E, Stallard E, Kulminski AM, Akushevich I, Ukraintseva SV, Christensen K, Yashin AI.

Front Public Health. 2016 Jan 25;4:3. doi: 10.3389/fpubh.2016.00003. eCollection 2016.

35.
36.

Birth Cohort, Age, and Sex Strongly Modulate Effects of Lipid Risk Alleles Identified in Genome-Wide Association Studies.

Kulminski AM, Culminskaya I, Arbeev KG, Arbeeva L, Ukraintseva SV, Stallard E, Wu D, Yashin AI.

PLoS One. 2015 Aug 21;10(8):e0136319. doi: 10.1371/journal.pone.0136319. eCollection 2015.

37.

How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.

Yashin AI, Arbeev KG, Arbeeva LS, Wu D, Akushevich I, Kovtun M, Yashkin A, Kulminski A, Culminskaya I, Stallard E, Li M, Ukraintseva SV.

Biogerontology. 2016 Feb;17(1):89-107. doi: 10.1007/s10522-015-9594-8. Epub 2015 Aug 18. Review.

38.

Quantification of biological aging in young adults.

Belsky DW, Caspi A, Houts R, Cohen HJ, Corcoran DL, Danese A, Harrington H, Israel S, Levine ME, Schaefer JD, Sugden K, Williams B, Yashin AI, Poulton R, Moffitt TE.

Proc Natl Acad Sci U S A. 2015 Jul 28;112(30):E4104-10. doi: 10.1073/pnas.1506264112. Epub 2015 Jul 6.

39.

Genetics of aging, health, and survival: dynamic regulation of human longevity related traits.

Yashin AI, Wu D, Arbeeva LS, Arbeev KG, Kulminski AM, Akushevich I, Kovtun M, Culminskaya I, Stallard E, Li M, Ukraintseva SV.

Front Genet. 2015 Apr 13;6:122. doi: 10.3389/fgene.2015.00122. eCollection 2015.

40.

Biodemographic Analyses of Longitudinal Data on Aging, Health, and Longevity: Recent Advances and Future Perspectives.

Arbeev KG, Akushevich I, Kulminski AM, Ukraintseva SV, Yashin AI.

Adv Geriatr. 2014;2014. pii: 957073.

41.

Aging and health--a systems biology perspective. Introduction.

Jazwinski SM, Yashin AI.

Interdiscip Top Gerontol. 2015;40:VII-XII. No abstract available.

PMID:
25509217
42.

Trade-offs in the effects of the apolipoprotein E polymorphism on risks of diseases of the heart, cancer, and neurodegenerative disorders: insights on mechanisms from the Long Life Family Study.

Kulminski AM, Arbeev KG, Culminskaya I, Ukraintseva SV, Stallard E, Province MA, Yashin AI.

Rejuvenation Res. 2015 Apr;18(2):128-35. doi: 10.1089/rej.2014.1616.

43.

Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival.

Arbeev KG, Akushevich I, Kulminski AM, Ukraintseva SV, Yashin AI.

Front Public Health. 2014 Nov 6;2:228. doi: 10.3389/fpubh.2014.00228. eCollection 2014. Review.

44.

Age, gender, and cancer but not neurodegenerative and cardiovascular diseases strongly modulate systemic effect of the Apolipoprotein E4 allele on lifespan.

Kulminski AM, Arbeev KG, Culminskaya I, Arbeeva L, Ukraintseva SV, Stallard E, Christensen K, Schupf N, Province MA, Yashin AI.

PLoS Genet. 2014 Jan 30;10(1):e1004141. doi: 10.1371/journal.pgen.1004141. eCollection 2014 Jan.

45.

Genetic Structures of Population Cohorts Change with Increasing Age: Implications for Genetic Analyses of Human aging and Life Span.

Yashin AI, Wu D, Arbeev KG, Arbeeva LS, Akushevich I, Kulminski A, Culminskaya I, Stallard E, Ukraintseva SV.

Ann Gerontol Geriatr Res. 2014;1(4). pii: 1020.

46.

Letter to the editor: Standardization of genetic association studies, pros and cons, reaffirmed.

Kulminski A, Culminskaya I, Yashin AI.

Age (Dordr). 2014 Apr;36(2):945-7. doi: 10.1007/s11357-013-9602-3. Epub 2013 Nov 26. No abstract available.

47.

A new algorithm for predicting time to disease endpoints in Alzheimer's disease patients.

Razlighi QR, Stallard E, Brandt J, Blacker D, Albert M, Scarmeas N, Kinosian B, Yashin AI, Stern Y.

J Alzheimers Dis. 2014;38(3):661-8. doi: 10.3233/JAD-131142.

48.

Morbidity risks among older adults with pre-existing age-related diseases.

Akushevich I, Kravchenko J, Ukraintseva S, Arbeev K, Kulminski A, Yashin AI.

Exp Gerontol. 2013 Dec;48(12):1395-401. doi: 10.1016/j.exger.2013.09.005. Epub 2013 Sep 21.

49.

How the quality of GWAS of human lifespan and health span can be improved.

Yashin AI, Arbeev KG, Wu D, Arbeeva LS, Kulminski AM, Akushevich I, Culminskaya I, Stallard E, Ukraintseva SV.

Front Genet. 2013 Jun 28;4:125. doi: 10.3389/fgene.2013.00125. Print 2013. No abstract available.

50.

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