QTL mapping of leukocyte telomere length in American Indians: The Strong Heart Family Study

Zhu, Yun; Voruganti, V. Saroja; Lin, Jue; Matsuguchi, Tet; Blackburn, Elizabeth H.; Best, Lyle G.; Lee, Elisa T.; MacCluer, Jean W.; Cole, Shelley A.; Zhao, Jinying

doi:10.18632/aging.100600

Cited by 18 publications

(15 citation statements)

References 47 publications

(55 reference statements)

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“…Detailed lab protocols and methods have been described previously. [3, 20] Briefly, LTL was quantified by qPCR using a serially diluted standard DNA and the standard curve method. The ratio of the telomeric product vs. the single copy gene reflects the average length of the telomeres.…”

Section: Methodsmentioning

confidence: 99%

“…However, these findings were primarily derived from European Caucasians in relatively small subgroups of patients or research subjects, and results were inconsistent across study populations [13-17]. Given the potential impact of genetic [18-20] and lifestyle [21, 22] factors on telomeric aging and obesity pathologies, confirmation of previous findings in other ethnic groups with a wide range of age distribution in community-based populations is clearly required.…”

Section: Introductionmentioning

confidence: 99%

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Short leukocyte telomere length is associated with obesity in American Indians: The strong heart family study

Chen

Yeh²,

Lin

et al. 2014

Aging

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Shorter leukocyte telomere length (LTL) has been associated with a wide range of age-related disorders including cardiovascular disease (CVD) and diabetes. Obesity is an important risk factor for CVD and diabetes. The association of LTL with obesity is not well understood. This study for the first time examines the association of LTL with obesity indices including body mass index, waist circumference, percent body fat, waist-to-hip ratio, and waist-to-height ratio in 3,256 American Indians (14-93 years old, 60% women) participating in the Strong Heart Family Study. Association of LTL with each adiposity index was examined using multivariate generalized linear mixed model, adjusting for chronological age, sex, study center, education, lifestyle (smoking, alcohol consumption, and total energy intake), high-sensitivity C-reactive protein, hypertension and diabetes. Results show that obese participants had significantly shorter LTL than non-obese individuals (age-adjusted P=0.0002). Multivariate analyses demonstrate that LTL was significantly and inversely associated with all of the studied obesity parameters. Our results may shed light on the potential role of biological aging in pathogenesis of obesity and its comorbidities.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Short leukocyte telomere length is associated with obesity in American Indians: The strong heart family study

Chen

Yeh²,

Lin

et al. 2014

Aging

Self Cite

View full text Add to dashboard Buy / Rent full text

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“…Detailed laboratory protocol and quality control procedures have been described previously [37-40]. Briefly, LTL was quantified by qPCR using a serially diluted standard DNA and the standard curve method.…”

Section: Methodsmentioning

confidence: 99%

Short leukocyte telomere length predicts incidence and progression of carotid atherosclerosis in American Indians: The Strong Heart Family Study

Chen

Lin

Matsuguchi

et al. 2014

Aging

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Short leukocyte telomere length (LTL) has been associated with atherosclerosis in cross-sectional studies, but the prospective relationship between telomere shortening and risk of developing carotid atherosclerosis has not been well-established. This study examines whether LTL at baseline predicts incidence and progression of carotid atherosclerosis in American Indians in the Strong Heart Study. The analysis included 2,819 participants who were free of overt cardiovascular disease at baseline (2001-2003) and were followed through the end of 2006-2009 (average 5.5-yr follow-up). Discrete atherosclerotic plaque was defined as focal protrusion with an arterial wall thickness ≥50% the surrounding wall. Carotid progression was defined as having a higher plaque score at the end of study follow-up compared to baseline. Associations of LTL with incidence and progression of carotid plaque were examined using Cox proportional hazard regression, adjusting for standard coronary risk factors. Compared to participants in the highest LTL tertile, those in the lowest tertile had significantly elevated risk for both incident plaque (HR, 1.49; 95% CI, 1.09–2.03) and plaque progression (HR, 1.61; 95% CI, 1.26–2.07). Our results provide initial evidence for a potential prognostic utility of LTL in risk prediction for atherosclerosis.

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“…The standard practice for checking and correcting pedigrees and relationships within genetic data sets is to use pairwise prediction programs, [14][15][16][17][18] such as RELPAIR 19 and PREST (Pedigree Relationship Statistical Test), 20 to verify that the level of relatedness between every pair of individuals falls close to the expected level of relatedness from the reported pedigree. [21][22][23][24][25][26][27][28] Although using pairwise estimates to check relationships in pedigrees is sometimes sufficient, there are four major drawbacks that we illustrate in this manuscript. First, pairwise checking will not catch pedigree errors if there are multiple pedigree structures that fit the genetic data and if the reported pedigree structure is among the incorrect possibilities.…”

Section: Introductionmentioning

confidence: 99%

PRIMUS: Rapid Reconstruction of Pedigrees from Genome-wide Estimates of Identity by Descent

Staples

Qiao

Cho

et al. 2014

The American Journal of Human Genetics

124

144

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Understanding and correctly utilizing relatedness among samples is essential for genetic analysis; however, managing sample records and pedigrees can often be error prone and incomplete. Data sets ascertained by random sampling often harbor cryptic relatedness that can be leveraged in genetic analyses for maximizing power. We have developed a method that uses genome-wide estimates of pairwise identity by descent to identify families and quickly reconstruct and score all possible pedigrees that fit the genetic data by using up to third-degree relatives, and we have included it in the software package PRIMUS (Pedigree Reconstruction and Identification of the Maximally Unrelated Set). Here, we validate its performance on simulated, clinical, and HapMap pedigrees. Among these samples, we demonstrate that PRIMUS can verify reported pedigree structures and identify cryptic relationships. Finally, we show that PRIMUS reconstructed pedigrees, all of which were previously unknown, for 203 families from a cohort collected in Starr County, TX (1,890 samples).

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QTL mapping of leukocyte telomere length in American Indians: The Strong Heart Family Study

Cited by 18 publications

References 47 publications

Short leukocyte telomere length is associated with obesity in American Indians: The strong heart family study

Short leukocyte telomere length is associated with obesity in American Indians: The strong heart family study

Short leukocyte telomere length predicts incidence and progression of carotid atherosclerosis in American Indians: The Strong Heart Family Study

PRIMUS: Rapid Reconstruction of Pedigrees from Genome-wide Estimates of Identity by Descent

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