You are here

Biblio

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 62 results:

Author Title [ Type

] Year

Filters: Author is Deary, Ian J [Clear All Filters]

Journal Article

Bressler J, Davies G, Smith AV, Saba Y, Bis JC, Jian X, Hayward C, Yanek L, Smith JA, Mirza SS, et al. Association of low-frequency and rare coding variants with information processing speed. Transl Psychiatry. 2021 ;11(1):613.

Peloso GM, Auer PL, Bis JC, Voorman A, Morrison AC, Stitziel NO, Brody JA, Khetarpal SA, Crosby JR, Fornage M, et al. Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks. Am J Hum Genet. 2014 ;94(2):223-32.

Clark DW, Okada Y, Moore KHS, Mason D, Pirastu N, Gandin I, Mattsson H, Barnes CLK, Lin K, Zhao JH, et al. Associations of autozygosity with a broad range of human phenotypes. Nat Commun. 2019 ;10(1):4957.

de Vries PS, Sabater-Lleal M, Chasman DI, Trompet S, Ahluwalia TS, Teumer A, Kleber ME, Chen M-H, Wang JJin, Attia JR, et al. Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study. PLoS One. 2017 ;12(1):e0167742.

Ben-Avraham D, Karasik D, Verghese J, Lunetta KL, Smith JA, Eicher JD, Vered R, Deelen J, Arnold AM, Buchman AS, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017 ;9(1):209-246.

Ward-Caviness CK, Huffman JE, Evertt K, Germain M, van Dongen J, W Hill D, Jhun MA, Brody JA, Ghanbari M, Du L, et al. DNA methylation age is associated with an altered hemostatic profile in a multi-ethnic meta-analysis. Blood. 2018 .

Richard MA, Huan T, Ligthart S, Gondalia R, Jhun MA, Brody JA, Irvin MR, Marioni R, Shen J, Tsai P-C, et al. DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation. Am J Hum Genet. 2017 ;101(6):888-902.

Ligthart S, Marzi C, Aslibekyan S, Mendelson MM, Conneely KN, Tanaka T, Colicino E, Waite LL, Joehanes R, Guan W, et al. DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. Genome Biol. 2016 ;17(1):255.

Yang Y, Knol MJ, Wang R, Mishra A, Liu D, Luciano M, Teumer A, Armstrong N, Bis JC, Jhun MA, et al. Epigenetic and integrative cross-omics analyses of cerebral white matter hyperintensities on MRI. Brain. 2022 .

Joehanes R, Just AC, Marioni RE, Pilling LC, Reynolds LM, Mandaviya PR, Guan W, Xu T, Elks CE, Aslibekyan S, et al. Epigenetic Signatures of Cigarette Smoking. Circ Cardiovasc Genet. 2016 ;9(5):436-447.

Jian X, Satizabal CL, Smith AV, Wittfeld K, Bis JC, Smith JA, Hsu F-C, Nho K, Hofer E, Hagenaars SP, et al. Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging. Stroke. 2018 .

Chami N, Chen M-H, Slater AJ, Eicher JD, Evangelou E, Tajuddin SM, Love-Gregory L, Kacprowski T, Schick UM, Nomura A, et al. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits. Am J Hum Genet. 2016 ;99(1):8-21.

Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves ACouto, et al. Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet. 2017 ;49(12):1758-1766.

Fuentes Lde Las, Sung YJu, Noordam R, Winkler T, Feitosa MF, Schwander K, Bentley AR, Brown MR, Guo X, Manning A, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2020 .

Fuentes Lde Las, Schwander KL, Brown MR, Bentley AR, Winkler TW, Sung YJu, Munroe PB, Miller CL, Aschard H, Aslibekyan S, et al. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci. Front Genet. 2023 ;14:1235337.

Lopez LM, W Hill D, Harris SE, Hernandez MValdes, Maniega SMunoz, Bastin ME, Bailey E, Smith C, McBride M, McClure J, et al. Genes from a translational analysis support a multifactorial nature of white matter hyperintensities. Stroke. 2015 ;46(2):341-7.

Evangelou E, Warren HR, Mosen-Ansorena D, Mifsud B, Pazoki R, Gao H, Ntritsos G, Dimou N, Cabrera CP, Karaman I, et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018 ;50(10):1412-1425.

Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, et al. Genetic architecture of subcortical brain structures in 38,851 individuals. Nat Genet. 2019 ;51(11):1624-1636.

Bihlmeyer NA, Brody JA, Smith AVernon, Lunetta KL, Nalls M, Smith JA, Tanaka T, Davies G, Yu L, Mirza SSaeed, et al. Genetic diversity is a predictor of mortality in humans. BMC Genet. 2014 ;15:159.

Smith NL, Huffman JE, Strachan DP, Huang J, Dehghan A, Trompet S, Lopez LM, Shin S-Y, Baumert J, Vitart V, et al. Genetic predictors of fibrin D-dimer levels in healthy adults. Circulation. 2011 ;123(17):1864-72.

Ligthart S, Vaez A, Võsa U, Stathopoulou MG, de Vries PS, Prins BP, van der Most PJ, Tanaka T, Naderi E, Rose LM, et al. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet. 2018 ;103(5):691-706.

Teumer A, Chaker L, Groeneweg S, Li Y, Di Munno C, Barbieri C, Schultheiss UT, Traglia M, Ahluwalia TS, Akiyama M, et al. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat Commun. 2018 ;9(1):4455.

Köttgen A, Albrecht E, Teumer A, Vitart V, Krumsiek J, Hundertmark C, Pistis G, Ruggiero D, O'Seaghdha CM, Haller T, et al. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet. 2013 ;45(2):145-54.

Loth DW, Artigas MSoler, Gharib SA, Wain LV, Franceschini N, Koch B, Pottinger TD, Smith AVernon, Duan Q, Oldmeadow C, et al. Genome-wide association analysis identifies six new loci associated with forced vital capacity. Nat Genet. 2014 ;46(7):669-77.

Artigas MSoler, Loth DW, Wain LV, Gharib SA, Obeidat M'en, Tang W, Zhai G, Zhao JH, Smith AVernon, Huffman JE, et al. Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function. Nat Genet. 2011 ;43(11):1082-90.

Pages