Results 81 to 90 of about 282 (151)

A multistep approach to single nucleotide polymorphism-set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association tests. [PDF]

BMC Proc, 2016
Valcarcel A, Grinde K, Cook K, Green A, Tintle N.   +4 more
europepmc   +1 more source

A Reduction-Sensitive Fluorous Fluorogenic Coumarin. [PDF]

Synlett, 2020
Miller MA, Day RA, Estabrook DA, Sletten EM.   +3 more
europepmc   +1 more source

Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies. [PDF]

Nat Commun, 2021
Harris WS, Tintle NL, Imamura F, Qian F, Korat AVA, Marklund M, Djoussé L, Bassett JK, Carmichael PH, Chen YY, Hirakawa Y, Küpers LK, Laguzzi F, Lankinen M, Murphy RA, Samieri C, Senn MK, Shi P, Virtanen JK, Brouwer IA, Chien KL, Eiriksdottir G, Forouhi NG, Geleijnse JM, Giles GG, Gudnason V, Helmer C, Hodge A, Jackson R, Khaw KT, Laakso M, Lai H, Laurin D, Leander K, Lindsay J, Micha R, Mursu J, Ninomiya T, Post W, Psaty BM, Risérus U, Robinson JG, Shadyab AH, Snetselaar L, Sala-Vila A, Sun Y, Steffen LM, Tsai MY, Wareham NJ, Wood AC, Wu JHY, Hu F, Sun Q, Siscovick DS, Lemaitre RN, Mozaffarian D, Fatty Acids and Outcomes Research Consortium (FORCE).   +56 more
europepmc   +1 more source

A general method for combining different family-based rare-variant tests of association to improve power and robustness of a wide range of genetic architectures. [PDF]

BMC Proc, 2016
Green A, Cook K, Grinde K, Valcarcel A, Tintle N.   +4 more
europepmc   +1 more source

n-3 Fatty Acid Biomarkers and Incident Type 2 Diabetes: An Individual Participant-Level Pooling Project of 20 Prospective Cohort Studies. [PDF]

Diabetes Care, 2021
Qian F, Ardisson Korat AV, Imamura F, Marklund M, Tintle N, Virtanen JK, Zhou X, Bassett JK, Lai H, Hirakawa Y, Chien KL, Wood AC, Lankinen M, Murphy RA, Samieri C, Pertiwi K, de Mello VD, Guan W, Forouhi NG, Wareham N, Hu ICFB, Riserus U, Lind L, Harris WS, Shadyab AH, Robinson JG, Steffen LM, Hodge A, Giles GG, Ninomiya T, Uusitupa M, Tuomilehto J, Lindström J, Laakso M, Siscovick DS, Helmer C, Geleijnse JM, Wu JHY, Fretts A, Lemaitre RN, Micha R, Mozaffarian D, Sun Q, Fatty Acids and Outcomes Research Consortium (FORCE).   +43 more
europepmc   +1 more source

Effects of menopausal hormone therapy on erythrocyte n-3 and n-6 PUFA concentrations in the Women's Health Initiative randomized trial. [PDF]

Am J Clin Nutr, 2021
Harris WS, Tintle NL, Manson JE, Metherel AH, Robinson JG.   +4 more
europepmc   +1 more source

Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data. [PDF]

BMC Proc, 2016
Held E, Cape J, Tintle N.
europepmc   +1 more source

The challenge of detecting genotype-by-methylation interaction: GAW20. [PDF]

BMC Genet, 2018
de Andrade M, Warwick Daw E, Kraja AT, Fisher V, Wang L, Hu K, Li J, Romanescu R, Veenstra J, Sun R, Weng H, Zhou W.   +11 more
europepmc   +1 more source

Transcriptome assembly and annotation of johnsongrass (Sorghum halepense) rhizomes identify candidate rhizome-specific genes. [PDF]

Plant Direct, 2018
Ryder N, Dorn KM, Huitsing M, Adams M, Ploegstra J, DeHaan L, Larson S, Tintle NL.   +7 more
europepmc   +1 more source