Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 33

1.

High genetic-risk individuals benefit less from resistance exercise intervention.

Klimentidis YC, Bea JW, Lohman T, Hsieh PS, Going S, Chen Z.

Int J Obes (Lond). 2015 Apr 30. doi: 10.1038/ijo.2015.78. [Epub ahead of print]

PMID:
25924711
2.

Assessment of Whole-Genome Regression for Type II Diabetes.

Vazquez AI, Klimentidis YC, Dhurandhar EJ, Veturi YC, Paérez-Rodríguez P.

PLoS One. 2015 Apr 17;10(4):e0123818. doi: 10.1371/journal.pone.0123818. eCollection 2015.

3.

Integrated genomic and BMI analysis for type 2 diabetes risk assessment.

Lebrón-Aldea D, Dhurandhar EJ, Pérez-Rodríguez P, Klimentidis YC, Tiwari HK, Vazquez AI.

Front Genet. 2015 Mar 17;6:75. doi: 10.3389/fgene.2015.00075. eCollection 2015.

4.

Identification of allelic heterogeneity at type-2 diabetes loci and impact on prediction.

Klimentidis YC, Zhou J, Wineinger NE.

PLoS One. 2014 Nov 13;9(11):e113072. doi: 10.1371/journal.pone.0113072. eCollection 2014.

5.

Association of physical activity with lower type 2 diabetes incidence is weaker among individuals at high genetic risk.

Klimentidis YC, Chen Z, Arora A, Hsu CH.

Diabetologia. 2014 Dec;57(12):2530-4. doi: 10.1007/s00125-014-3380-z. Epub 2014 Oct 2.

PMID:
25273344
6.

Multiple metabolic genetic risk scores and type 2 diabetes risk in three racial/ethnic groups.

Klimentidis YC, Wineinger NE, Vazquez AI, de Los Campos G.

J Clin Endocrinol Metab. 2014 Sep;99(9):E1814-8. doi: 10.1210/jc.2014-1818. Epub 2014 Jun 6.

PMID:
24905067
7.

CDKAL1 and HHEX are associated with type 2 diabetes-related traits among Yup'ik people.

Klimentidis YC, Lemas DJ, Wiener HH, O'Brien DM, Havel PJ, Stanhope KL, Hopkins SE, Tiwari HK, Boyer BB.

J Diabetes. 2014 May;6(3):251-9. doi: 10.1111/1753-0407.12093. Epub 2013 Oct 29.

8.

Heritability of pulmonary function estimated from pedigree and whole-genome markers.

Klimentidis YC, Vazquez AI, de Los Campos G, Allison DB, Dransfield MT, Thannickal VJ.

Front Genet. 2013 Sep 9;4:174. doi: 10.3389/fgene.2013.00174. eCollection 2013.

9.

A unified GMDR method for detecting gene-gene interactions in family and unrelated samples with application to nicotine dependence.

Chen GB, Liu N, Klimentidis YC, Zhu X, Zhi D, Wang X, Lou XY.

Hum Genet. 2014 Feb;133(2):139-50. doi: 10.1007/s00439-013-1361-9. Epub 2013 Sep 21.

10.

Evidence for novel genetic loci associated with metabolic traits in Yup'ik people.

Aslibekyan S, Vaughan LK, Wiener HW, Lemas DJ, Klimentidis YC, Havel PJ, Stanhope KL, O'brien DM, Hopkins SE, Boyer BB, Tiwari HK.

Am J Hum Biol. 2013 Sep-Oct;25(5):673-80. doi: 10.1002/ajhb.22429. Epub 2013 Aug 1.

11.

Prediction of complex human traits using the genomic best linear unbiased predictor.

de Los Campos G, Vazquez AI, Fernando R, Klimentidis YC, Sorensen D.

PLoS Genet. 2013;9(7):e1003608. doi: 10.1371/journal.pgen.1003608. Epub 2013 Jul 11.

12.

Obesity polymorphisms identified in genome-wide association studies interact with n-3 polyunsaturated fatty acid intake and modify the genetic association with adiposity phenotypes in Yup'ik people.

Lemas DJ, Klimentidis YC, Wiener HH, O'Brien DM, Hopkins SE, Allison DB, Fernandez JR, Tiwari HK, Boyer BB.

Genes Nutr. 2013 Sep;8(5):495-505. doi: 10.1007/s12263-013-0340-z. Epub 2013 Mar 23.

13.

Associations of the lactase persistence allele and lactose intake with body composition among multiethnic children.

Malek AJ, Klimentidis YC, Kell KP, Fernández JR.

Genes Nutr. 2013 Sep;8(5):487-94. doi: 10.1007/s12263-013-0335-9. Epub 2013 Mar 12.

14.

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

Vazquez AI, de los Campos G, Klimentidis YC, Rosa GJ, Gianola D, Yi N, Allison DB.

Genetics. 2012 Dec;192(4):1493-502. doi: 10.1534/genetics.112.141705. Epub 2012 Oct 10.

15.

Prediction of expected years of life using whole-genome markers.

de los Campos G, Klimentidis YC, Vazquez AI, Allison DB.

PLoS One. 2012;7(7):e40964. doi: 10.1371/journal.pone.0040964. Epub 2012 Jul 25.

16.

A Hybrid Bayesian Network/Structural Equation (BN/SEM) Modeling Approach for Detecting Physiological Networks for Obesity-related Genetic Variants.

Duarte CW, Klimentidis YC, Harris JJ, Cardel M, Fernández JR.

Proceedings (IEEE Int Conf Bioinformatics Biomed). 2011:696-702.

17.

OPRM1 and EGFR contribute to skin pigmentation differences between Indigenous Americans and Europeans.

Quillen EE, Bauchet M, Bigham AW, Delgado-Burbano ME, Faust FX, Klimentidis YC, Mao X, Stoneking M, Shriver MD.

Hum Genet. 2012 Jul;131(7):1073-80. doi: 10.1007/s00439-011-1135-1. Epub 2011 Dec 24.

PMID:
22198722
18.

Genetic influences in childhood obesity: recent progress and recommendations for experimental designs.

Fernandez JR, Klimentidis YC, Dulin-Keita A, Casazza K.

Int J Obes (Lond). 2012 Apr;36(4):479-84. doi: 10.1038/ijo.2011.236. Epub 2011 Dec 13. Review.

PMID:
22158269
19.

Associations of obesity genes with obesity-related outcomes in multiethnic children.

Klimentidis YC, Chen GB, López-Alarcón M, Harris JJ, Duarte CW, Fernández JR.

Arch Med Res. 2011 Aug;42(6):509-14. doi: 10.1016/j.arcmed.2011.07.003. Epub 2011 Oct 31.

20.

Indigenous American ancestry is associated with arsenic methylation efficiency in an admixed population of northwest Mexico.

Gomez-Rubio P, Klimentidis YC, Cantu-Soto E, Meza-Montenegro MM, Billheimer D, Lu Z, Chen Z, Klimecki WT.

J Toxicol Environ Health A. 2012;75(1):36-49. doi: 10.1080/15287394.2011.615107.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Loading ...
Write to the Help Desk