Genome-wide Meta-analysis of 24 Age-related Phenotypes Leveraging Longitudinal Follow-up and Genetic Heterogeneity Identified Abundant Associations in a Modest Sample of 26,371 Individuals
Publication
, Conference
Kulminski, AM; Loika, Y; Huang, J; Wang, J; Arbeev, KG; Bagley, O; Duan, M; Yashin, A; Culminskaya, I
Published in: GENETIC EPIDEMIOLOGY
November 1, 2017
Duke Scholars
Published In
GENETIC EPIDEMIOLOGY
EISSN
1098-2272
ISSN
0741-0395
Publication Date
November 1, 2017
Volume
41
Issue
7
Start / End Page
666 / 667
Location
Queens Coll, Cambridge, ENGLAND
Publisher
WILEY
Conference Name
Annual Meeting of the International-Genetic-Epidemiology-Society (IGES)
Related Subject Headings
- Epidemiology
- 4202 Epidemiology
- 3105 Genetics
- 1117 Public Health and Health Services
- 0604 Genetics
Citation
APA
Chicago
ICMJE
MLA
NLM
Kulminski, A. M., Loika, Y., Huang, J., Wang, J., Arbeev, K. G., Bagley, O., … Culminskaya, I. (2017). Genome-wide Meta-analysis of 24 Age-related Phenotypes Leveraging Longitudinal Follow-up and Genetic Heterogeneity Identified Abundant Associations in a Modest Sample of 26,371 Individuals. In GENETIC EPIDEMIOLOGY (Vol. 41, pp. 666–667). Queens Coll, Cambridge, ENGLAND: WILEY.
Kulminski, Alexander M., Yury Loika, Jian Huang, Jiayi Wang, Konstantin G. Arbeev, Olivia Bagley, Matt Duan, Anatoliy Yashin, and Irina Culminskaya. “Genome-wide Meta-analysis of 24 Age-related Phenotypes Leveraging Longitudinal Follow-up and Genetic Heterogeneity Identified Abundant Associations in a Modest Sample of 26,371 Individuals.” In GENETIC EPIDEMIOLOGY, 41:666–67. WILEY, 2017.
Kulminski AM, Loika Y, Huang J, Wang J, Arbeev KG, Bagley O, et al. Genome-wide Meta-analysis of 24 Age-related Phenotypes Leveraging Longitudinal Follow-up and Genetic Heterogeneity Identified Abundant Associations in a Modest Sample of 26,371 Individuals. In: GENETIC EPIDEMIOLOGY. WILEY; 2017. p. 666–7.
Kulminski, Alexander M., et al. “Genome-wide Meta-analysis of 24 Age-related Phenotypes Leveraging Longitudinal Follow-up and Genetic Heterogeneity Identified Abundant Associations in a Modest Sample of 26,371 Individuals.” GENETIC EPIDEMIOLOGY, vol. 41, no. 7, WILEY, 2017, pp. 666–67.
Kulminski AM, Loika Y, Huang J, Wang J, Arbeev KG, Bagley O, Duan M, Yashin A, Culminskaya I. Genome-wide Meta-analysis of 24 Age-related Phenotypes Leveraging Longitudinal Follow-up and Genetic Heterogeneity Identified Abundant Associations in a Modest Sample of 26,371 Individuals. GENETIC EPIDEMIOLOGY. WILEY; 2017. p. 666–667.
Published In
GENETIC EPIDEMIOLOGY
EISSN
1098-2272
ISSN
0741-0395
Publication Date
November 1, 2017
Volume
41
Issue
7
Start / End Page
666 / 667
Location
Queens Coll, Cambridge, ENGLAND
Publisher
WILEY
Conference Name
Annual Meeting of the International-Genetic-Epidemiology-Society (IGES)
Related Subject Headings
- Epidemiology
- 4202 Epidemiology
- 3105 Genetics
- 1117 Public Health and Health Services
- 0604 Genetics