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Showing 1 to 12 of 12 entries
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Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Blood DNA Methylation and Incident Coronary Heart Disease: Evidence From the Strong Heart Study.

JAMA cardiology

Navas-Acien A, Domingo-Relloso A, Subedi P, Riffo-Campos AL, Xia R, Gomez L, Haack K, Goldsmith J, Howard BV, Best LG, Devereux R, Tauqeer A, Zhang Y, Fretts AM, Pichler G, Levy D, Vasan RS, Baccarelli AA, Herreros-Martinez M, Tang WY, Bressler J, Fornage M, Umans JG, Tellez-Plaza M, Fallin MD, Zhao J, Cole SA.
PMID: 34347013
JAMA Cardiol. 2021 Nov 01;6(11):1237-1246. doi: 10.1001/jamacardio.2021.2704.

IMPORTANCE: American Indian communities experience a high burden of coronary heart disease (CHD). Strategies are needed to identify individuals at risk and implement preventive interventions.OBJECTIVE: To investigate the association of blood DNA methylation (DNAm) with incident CHD using a...

Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Sep 30; doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

No abstract available.

Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.

Neurology

Chauhan G, Adams HHH, Satizabal CL, Bis JC, Teumer A, Sargurupremraj M, Hofer E, Trompet S, Hilal S, Smith AV, Jian X, Malik R, Traylor M, Pulit SL, Amouyel P, Mazoyer B, Zhu YC, Kaffashian S, Schilling S, Beecham GW, Montine TJ, Schellenberg GD, Kjartansson O, Guðnason V, Knopman DS, Griswold ME, Windham BG, Gottesman RF, Mosley TH, Schmidt R, Saba Y, Schmidt H, Takeuchi F, Yamaguchi S, Nabika T, Kato N, Rajan KB, Aggarwal NT, De Jager PL, Evans DA, Psaty BM, Rotter JI, Rice K, Lopez OL, Liao J, Chen C, Cheng CY, Wong TY, Ikram MK, van der Lee SJ, Amin N, Chouraki V, DeStefano AL, Aparicio HJ, Romero JR, Maillard P, DeCarli C, Wardlaw JM, Hernández MDCV, Luciano M, Liewald D, Deary IJ, Starr JM, Bastin ME, Muñoz Maniega S, Slagboom PE, Beekman M, Deelen J, Uh HW, Lemmens R, Brodaty H, Wright MJ, Ames D, Boncoraglio GB, Hopewell JC, Beecham AH, Blanton SH, Wright CB, Sacco RL, Wen W, Thalamuthu A, Armstrong NJ, Chong E, Schofield PR, Kwok JB, van der Grond J, Stott DJ, Ford I, Jukema JW, Vernooij MW, Hofman A, Uitterlinden AG, van der Lugt A, Wittfeld K, Grabe HJ, Hosten N, von Sarnowski B, Völker U, Levi C, Jimenez-Conde J, Sharma P, Sudlow CLM, Rosand J, Woo D, Cole JW, Meschia JF, Slowik A, Thijs V, Lindgren A, Melander O, Grewal RP, Rundek T, Rexrode K, Rothwell PM, Arnett DK, Jern C, Johnson JA, Benavente OR, Wasssertheil-Smoller S, Lee JM, Wong Q, Mitchell BD, Rich SS, McArdle PF, Geerlings MI, van der Graaf Y, de Bakker PIW, Asselbergs FW, Srikanth V, Thomson R, McWhirter R, Moran C, Callisaya M, Phan T, Rutten-Jacobs LCA, Bevan S, Tzourio C, Mather KA, Sachdev PS, van Duijn CM, Worrall BB, Dichgans M, Kittner SJ, Markus HS, Ikram MA, Fornage M, Launer LJ, Seshadri S, Longstreth WT, Debette S.
PMID: 30651383
Neurology. 2019 Jan 16; doi: 10.1212/WNL.0000000000006851. Epub 2019 Jan 16.

OBJECTIVE: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts.METHODS: We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with...

Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Plasma amyloid β levels are driven by genetic variants near APOE, BACE1, APP, PSEN2: A genome-wide association study in over 12,000 non-demented participants.

Alzheimer's & dementia : the journal of the Alzheimer's Association

Damotte V, van der Lee SJ, Chouraki V, Grenier-Boley B, Simino J, Adams H, Tosto G, White C, Terzikhan N, Cruchaga C, Knol MJ, Li S, Schraen S, Grove ML, Satizabal C, Amin N, Berr C, Younkin S, Gottesman RF, Buée L, Beiser A, Knopman DS, Uitterlinden A, DeCarli C, Bressler J, DeStefano A, Dartigues JF, Yang Q, Boerwinkle E, Tzourio C, Fornage M, Ikram MA, Amouyel P, de Jager P, Reitz C, Mosley TH, Lambert JC, Seshadri S, van Duijn CM.
PMID: 34002480
Alzheimers Dement. 2021 Oct;17(10):1663-1674. doi: 10.1002/alz.12333. Epub 2021 May 18.

INTRODUCTION: There is increasing interest in plasma amyloid beta (Aβ) as an endophenotype of Alzheimer's disease (AD). Identifying the genetic determinants of plasma Aβ levels may elucidate important biological processes that determine plasma Aβ measures.METHODS: We included 12,369 non-demented...

Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.

Neurology

Chauhan G, Adams HHH, Satizabal CL, Bis JC, Teumer A, Sargurupremraj M, Hofer E, Trompet S, Hilal S, Smith AV, Jian X, Malik R, Traylor M, Pulit SL, Amouyel P, Mazoyer B, Zhu YC, Kaffashian S, Schilling S, Beecham GW, Montine TJ, Schellenberg GD, Kjartansson O, Guðnason V, Knopman DS, Griswold ME, Windham BG, Gottesman RF, Mosley TH, Schmidt R, Saba Y, Schmidt H, Takeuchi F, Yamaguchi S, Nabika T, Kato N, Rajan KB, Aggarwal NT, De Jager PL, Evans DA, Psaty BM, Rotter JI, Rice K, Lopez OL, Liao J, Chen C, Cheng CY, Wong TY, Ikram MK, van der Lee SJ, Amin N, Chouraki V, DeStefano AL, Aparicio HJ, Romero JR, Maillard P, DeCarli C, Wardlaw JM, Hernández MDCV, Luciano M, Liewald D, Deary IJ, Starr JM, Bastin ME, Muñoz Maniega S, Slagboom PE, Beekman M, Deelen J, Uh HW, Lemmens R, Brodaty H, Wright MJ, Ames D, Boncoraglio GB, Hopewell JC, Beecham AH, Blanton SH, Wright CB, Sacco RL, Wen W, Thalamuthu A, Armstrong NJ, Chong E, Schofield PR, Kwok JB, van der Grond J, Stott DJ, Ford I, Jukema JW, Vernooij MW, Hofman A, Uitterlinden AG, van der Lugt A, Wittfeld K, Grabe HJ, Hosten N, von Sarnowski B, Völker U, Levi C, Jimenez-Conde J, Sharma P, Sudlow CLM, Rosand J, Woo D, Cole JW, Meschia JF, Slowik A, Thijs V, Lindgren A, Melander O, Grewal RP, Rundek T, Rexrode K, Rothwell PM, Arnett DK, Jern C, Johnson JA, Benavente OR, Wasssertheil-Smoller S, Lee JM, Wong Q, Mitchell BD, Rich SS, McArdle PF, Geerlings MI, van der Graaf Y, de Bakker PIW, Asselbergs FW, Srikanth V, Thomson R, McWhirter R, Moran C, Callisaya M, Phan T, Rutten-Jacobs LCA, Bevan S, Tzourio C, Mather KA, Sachdev PS, van Duijn CM, Worrall BB, Dichgans M, Kittner SJ, Markus HS, Ikram MA, Fornage M, Launer LJ, Seshadri S, Longstreth WT, Debette S.
PMID: 30651383
Neurology. 2019 Jan 16; doi: 10.1212/WNL.0000000000006851. Epub 2019 Jan 16.

OBJECTIVE: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts.METHODS: We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with...

Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Association of low-frequency and rare coding variants with information processing speed.

Translational psychiatry

Bressler J, Davies G, Smith AV, Saba Y, Bis JC, Jian X, Hayward C, Yanek L, Smith JA, Mirza SS, Wang R, Adams HHH, Becker D, Boerwinkle E, Campbell A, Cox SR, Eiriksdottir G, Fawns-Ritchie C, Gottesman RF, Grove ML, Guo X, Hofer E, Kardia SLR, Knol MJ, Koini M, Lopez OL, Marioni RE, Nyquist P, Pattie A, Polasek O, Porteous DJ, Rudan I, Satizabal CL, Schmidt H, Schmidt R, Sidney S, Simino J, Smith BH, Turner ST, van der Lee SJ, Ware EB, Whitmer RA, Yaffe K, Yang Q, Zhao W, Gudnason V, Launer LJ, Fitzpatrick AL, Psaty BM, Fornage M, Arfan Ikram M, van Duijn CM, Seshadri S, Mosley TH, Deary IJ.
PMID: 34864818
Transl Psychiatry. 2021 Dec 04;11(1):613. doi: 10.1038/s41398-021-01736-6.

Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare...

Showing 1 to 12 of 12 entries