Michael Province

Dr. Michael Province

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
9 December 2021 in Nature
Verified
Journal Article
Closed access
PDF file
SGSarah E. Graham
Sarah E. Graham
SCShoa L. Clarke
Shoa L. Clarke
KWKuan-Han H. Wu
Kuan-Han H. Wu
Stavroula KanoniStavroula Kanoni
Stavroula Kanoni
GZGreg J. M. Zajac
Greg J. M. Zajac
CWCristen J. Willer
Cristen J. Willer

12 May 2022 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
AMAnubha Mahajan
Anubha Mahajan
CSCassandra N. Spracklen
Cassandra N. Spracklen
WZWeihua Zhang
Weihua Zhang
MNMaggie C. Y. Ng
Maggie C. Y. Ng
LPLauren E. Petty
Lauren E. Petty
AMAndrew P. Morris
Andrew P. Morris

14 September 2023 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
YCYanhua Chen
Yanhua Chen
XDXiaomeng Du
Xiaomeng Du
AKAnnapurna Kuppa
Annapurna Kuppa
MFMary Feitosa
Mary Feitosa
LBLawrence F. Bielak
Lawrence F. Bielak
ESElizabeth K. Speliotes
Elizabeth K. Speliotes

1 August 2014 in Molecular Genetics and Metabolism
Verified
Journal Article
Closed access
AKAldi T. Kraja
Aldi T. Kraja
DCDaniel I. Chasman
Daniel I. Chasman
KNKari North
Kari North
ARAlex Reiner
Alex Reiner
LYLisa R. Yanek
Lisa R. Yanek
IBIngrid B. Borecki
Ingrid B. Borecki

19 July 2013 in BMC Medical Genetics
Verified
Journal Article
Open access
PDF file
MWMary K Wojczynski
Mary K Wojczynski
MLMingyao Li
Mingyao Li
LBLawrence F Bielak
Lawrence F Bielak
KKKathleen F Kerr
Kathleen F Kerr
ARAlex Reiner
Alex Reiner
MRMuredach P Reilly
Muredach P Reilly
Coronary heart disease (CHD) is the major cause of death in the United States. Coronary artery calcification (CAC) scores are independent predictors of CHD. African Americans (AA) have higher rates of CHD but are less well-studied in genomic studies. We assembled the largest AA data resource currently available with measured CAC to identify associated genetic variants. We analyzed log transformed CAC quantity (ln(CAC + 1)), for association with ~2.5 million single nucleotide polymorphisms (SNPs) and performed an inverse-variance weighted meta-analysis on results for 5,823 AA from 8 studies. Heritability was calculated using family studies. The most significant SNPs among AAs were evaluated in European Ancestry (EA) CAC data; conversely, the significance of published SNPs for CAC/CHD in EA was queried within our AA meta-analysis. Heritability of CAC was lower in AA (~30%) than previously reported for EA (~50%). No SNP reached genome wide significance (p < 5E-08). Of 67 SNPs with p < 1E-05 in AA there was no evidence of association in EA CAC data. Four SNPs in regions previously implicated in CAC/CHD (at 9p21 and PHACTR1) in EA reached nominal significance for CAC in AA, with concordant direction. Among AA, rs16905644 (p = 4.08E-05) had the strongest association in the 9p21 region. While we observed substantial heritability for CAC in AA, we failed to identify loci for CAC at genome-wide significant levels despite having adequate power to detect alleles with moderate to large effects. Although suggestive signals in AA were apparent at 9p21 and additional CAC and CAD EA loci, overall the data suggest that even larger samples and an ethnic specific focus will be required for GWAS discoveries for CAC in AA populations.

5 November 2021 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
Verified
Journal Article
Open access
PDF file
MWMary K Wojczynski
Mary K Wojczynski
SLShiow Jiuan Lin
Shiow Jiuan Lin
PSPaola Sebastiani
Paola Sebastiani
TPThomas T Perls
Thomas T Perls
JLJoseph Lee
Joseph Lee
MPMichael Province
Michael Province
The NIA Long Life Family Study (LLFS) is a longitudinal, multicenter, multinational, population-based multigenerational family study of the genetic and nongenetic determinants of exceptional longevity and healthy aging. The Visit 1 in-person evaluation (2006–2009) recruited 4 953 individuals from 539 two-generation families, selected from the upper 1% tail of the Family Longevity Selection Score (FLoSS, which quantifies the degree of familial clustering of longevity). Demographic, anthropometric, cognitive, activities of daily living, ankle-brachial index, blood pressure, physical performance, and pulmonary function, along with serum, plasma, lymphocytes, red cells, and DNA, were collected. A Genome Wide Association Scan (GWAS) (Ilumina Omni 2.5M chip) followed by imputation was conducted. Visit 2 (2014–2017) repeated all Visit 1 protocols and added carotid ultrasonography of atherosclerotic plaque and wall thickness, additional cognitive testing, and perceived fatigability. On average, LLFS families show healthier aging profiles than reference populations, such as the Framingham Heart Study, at all age/sex groups, for many critical healthy aging phenotypes. However, participants are not uniformly protected. There is considerable heterogeneity among the pedigrees, with some showing exceptional cognition, others showing exceptional grip strength, others exceptional pulmonary function, etc. with little overlap in these families. There is strong heritability for key healthy aging phenotypes, both cross-sectionally and longitudinally, suggesting that at least some of this protection may be genetic. Little of the variance in these heritable phenotypes is explained by the common genome (GWAS + Imputation), which may indicate that rare protective variants for specific phenotypes may be running in selected families.