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Lange, Leslie A.

https://orcid.org/0000-0002-4220-6766

Mayo Clinic

University of Colorado

Citations 4

Novel Privacy Considerations for Large Scale Proteomics
Yu, Bing , Gorbet, Betty A., Lange, Leslie A. , Pratte, Katherine , Coors, Marilyn E., Ortega, Victor E. , Gerzsten, Robert E., Ngo, Debby , O’Neal, Wanda K. , Meyers, Deborah A. , Bleecker, Eugene R., Banaei‐Kashani, Farnoush , Guo, Claire, O'Neal, Wanda K , Hill, Andrew , LITKOWSKI, ELIZABETH M. , Manichaikul, Ani , Kechris, Katerina , DeCamp, Matthew W. , Rich, Stephen S. , Rotter, Jerome I. , Clish, Clary B. , Curtis, Jeffrey L. , Hu, Xiaowei , Hobbs, Brian D. , Cho, Michael H. , Bowler, Russell P.

No container title available | November 3, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2160242/v1 Get It

Abstract Privacy protection is a core principle of genomic but not proteomic research. We identified independent single nucleotide polymorphism (SNP) quantitative trait loci (pQTL) from COPDGene and Jackson Heart Study (JHS), calculated continuous protein level genotype probabilities, and then applied a naïve Bayesian approach to match proteomes to genomes for 2,812 independent subjects from COPDGene, JHS, SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) and Multi-Ethnic Study of Atherosclerosis (MESA). We were able to correctly match 90%-95% of proteomes to their correct genome and for 95%-99% we could match the proteome to the 1% most likely genome. The accuracy of matching in subjects with African ancestry was lower (~ 60%) unless training included diverse subjects. With larger profiling (SomaScan 5K) in the Atherosclerosis Risk Communities (ARIC) correct identification was > 99% even in mixed ancestry populations. When serial proteomes are available, the matching algorithm can be used to identify and correct mislabeled samples. This work also demonstrates the importance of including diverse populations in omics research and that large proteomic datasets (> 1,000 proteins) can be accurately linked to a specific genome through pQTL knowledge and should not be considered unidentifiable.
Autosomal genomewide linkage scan for coronary artery calcification loci.
Lange, Leslie A. , Lange, Ethan M. , Bielak, Lawrence F. , Langefeld, Carl D. , Kardia, Sharon L.R., Turner, Steve T, Sheedy, Patrick F. , Boerwinkle, Eric , Peyser, Patricia A.

Circulation | March 19, 2022 | Volume: 103 | Issue: suppl_1 | Pages: 1352-1352

10.1161/circ.103.suppl_1.9998-10 Get It

P10 Coronary artery calcification (CAC), quantified by electron beam computed tomography, provides a measure of extent of coronary atherosclerosis in asymptomatic and symptomatic individuals. It is well recognized that coronary artery disease and CAC are complex processes that are influenced by many genetic and environmental factors. Several aspects of CAC quantity make genetic studies of it particularly challenging. These include the non-normality of CAC frequency distributions and the strong age- and sex-dependence of CAC levels. To search for regions that may contain genes influencing CAC quantity, a genome-wide scan was conducted on a sample enriched for hypertension from the Epidemiology of Coronary Artery Calcification Study. The genome-wide linkage scan was based on 370 anonymous markers spanning the 22 autosomal chromosomes in 29 families. The analysis sample consisted of 20 affected sib-pairs, 8 affected sib-trios and 1 family with 6 affected siblings. Here, affection status was defined as being above the 70th sex- and age-specific percentile based on a reference population. Mode-of-inheritance-free qualitative linkage analysis was used to analyze sib-pair data. Maximum multipoint lod scores were calculated using the computer software Genehunter-2. Weighted analyses were conducted using Holmans “possible triangle” constraint. The overall maximum lod scores were observed on chromosomes 6 (lod=2.22) and 10 (lod=3.24). Additional lod scores greater than 1.0 were observed on chromosomes 2, 14, 15 and 17. These results identify regions that may harbor genes involved in high sex- and age-specific levels of CAC (supported by HL46292).
Peripheral Blood Cytopenia and Subsequent Risk of Cardiovascular Disease and Mortality
Gangaraju, Radhika , Irvin, Marguerite R. , Lange, Leslie A. , Herrera, Diego Adrianzen , Safford, Monika M. , Cushman, Mary , Koh, Insu , Houghton, Damon E. , Bhatia, Smita , Zakai, Neil A.

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 5002-5002

10.1182/blood-2019-125956 Get It

INTRODUCTION: African-Americans (blacks) have higher risk of stroke and coronary heart disease (CHD) - collectively referred to here as cardiovascular disease (CVD), than Caucasian-Americans (whites). Though partly explained by traditional cardiovascular risk factors, half of the excess risk in blacks is not explained by known risk factors. Recent data suggest increased risk of CVD and mortality in individuals with clonal hematopoiesis, which often presents as cytopenia. Using peripheral blood cytopenia as a marker of clonal hematopoiesis, we examined the association between cytopenia and risk of CVD and mortality in blacks and whites. METHODS: The REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study enrolled 30,239 US black and white adults between 2003 and 2007 (41% black). Socio-demographics and medical history were obtained by telephone interview, and laboratory studies (including complete blood count [CBC]) and physical exam from an in-home visit at baseline. Participants or their proxies were contacted every 6 months to ascertain CVD events, hospitalizations or deaths, and medical records were reviewed to confirm these events. Cytopenia was defined using thresholds in Table 1 as presence of 2 or more of the following: i) hemoglobin in age-, sex-, and race-specific lowest 5th percentile; ii) white cell count in race-specific lowest 5th percentile; iii) platelet count in lowest 5th percentile, and iv) macrocytosis (MCV >98fL). Participants with pre-baseline history of stroke (for analyses including stroke or CVD mortality) or CHD (for analyses including CHD or CVD mortality) and those with missing CBC were excluded. Cox proportional hazards models were used to calculate hazard ratios (HRs) of incident CVD and mortality associated with cytopenia. Models adjusted for socio-demographics (Model 1), Framingham stroke or CHD risk factors (Model 2), and estimated glomerular filtration rate and C-reactive protein (Model 3) were used. Differences in the association of cytopenia with outcomes by race were tested using cross-product interaction terms, using a p of <0.1 for interaction. RESULTS: The study included 19,544 participants who were followed for a median of ~9 years. There were 798 (4.3% of those at risk) incident stroke cases and 727 (4.3%) incident CHD cases; 1033 (5.3%) died of CVD, and 3933 (20.1%) died of all-causes. Cytopenia was present in 378 (1.9%) participants, ranging from 0.9% to 3.5% in blacks, 1.4 to 3.9% in whites, 1.6 to 3.9% in men, and 0.9 to 1.8% in women, with increasing prevalence by age. There was no association between cytopenia and stroke or CHD risk in any model. However, cytopenia was associated with increased risk of all-cause mortality (HR=1.73, 95%CI: 1.34-2.22), and CVD mortality (HR=1.56, 95% CI: 1.11-2.19) in the extended risk factor Model 3 and also in CVD risk factor adjusted model (Model 2), with little evidence of confounding (Table 2). While the race by cytopenia interaction term was not significant in any model for incident CHD or mortality, the interaction for cytopenia by race for stroke was statistically significant (p-interaction=0.08) in Model 2. The HR of stroke for cytopenia in blacks was 0.86 (95%CI: 0.46-1.61), and for whites was 1.96 (95%CI: 1.0-3.82). CONCLUSION: In this large biracial cohort, cytopenia was associated with increased all-cause and CVD mortality. Cytopenia was a race-specific risk factor for stroke affecting white Americans but not black Americans. With growing knowledge on the role of clonal hematopoiesis in CVD risk and mortality, further work is needed to determine if our phenotype of cytopenia is accurate in classifying clonal hematopoiesis and for determining the mortality risk. Given these findings, assessing clonal hematopoiesis and outcomes related to clonal hematopoiesis in diverse populations is critical to understanding the interactions between somatic mutations in hematopoietic cells and CVD/mortality risk. Disclosures Safford: Amgen: Research Funding.
Autosomal Genome-Wide Scan for Coronary Artery Calcification Loci in Sibships at High Risk for Hypertension
Lange, Leslie A. , Lange, Ethan M. , Bielak, Lawrence F. , Langefeld, Carl D. , Kardia, Sharon L.R., Royston, Patrick , Sheedy, Patrick F. , Boerwinkle, Eric , Peyser, Patricia A. , Turner, Stephen T.

Arteriosclerosis, Thrombosis, and Vascular Biology | July 28, 2002 | Volume: 22 | Issue: 3 | Pages: 418-423

10.1161/hq0302.105721 Get It

Abstract— Coronary artery disease (CAD) is the leading cause of mortality in the developed world. Although several CAD risk factors, including measures of lipid metabolism, obesity, and blood pressure, have a genetic basis, many genes for CAD susceptibility have yet to be identified. Coronary atherosclerosis is the major cause of CAD, but many with coronary atherosclerosis lack symptoms. Thus, a major limitation of using symptomatic CAD endpoints (eg, sudden coronary death, myocardial infarction) as a study outcome is substantial disease misclassification. Coronary artery calcification (CAC) is part of the atherosclerotic process and is an independent predictor of CAD endpoints. In the present study, CAC was noninvasively quantified by electron beam computed tomography. We performed genome-wide multipoint mode-of-inheritance-free linkage analysis on affected sib pairs, defined as being ≥ the 70th sex- and age-specific percentile for CAC quantity, in a sample of 29 families enriched for hypertension. Almost 95% of participants were asymptomatic for CAD. Our LOD score (log 10 odds in favor of linkage) results provide evidence that chromosomal regions 6p21.3 (maximum LOD score=2.22, P =0.00070) and 10q21.3 (maximum LOD score=3.24, P =0.000057) may harbor genes associated with subclinical coronary atherosclerosis.