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Dive into the research topics where Donglei Hu is active.

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Featured researches published by Donglei Hu.


Nature Genetics | 2011

Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations

Dara G. Torgerson; Elizabeth J. Ampleford; Grace Y. Chiu; W. James Gauderman; Christopher R. Gignoux; Penelope E. Graves; Blanca E. Himes; A. Levin; Rasika A. Mathias; Dana B. Hancock; James W. Baurley; Celeste Eng; Debra A. Stern; Juan C. Celedón; Nicholas Rafaels; Daniel Capurso; David V. Conti; Lindsey A. Roth; Manuel Soto-Quiros; Alkis Togias; Xingnan Li; Rachel A. Myers; Isabelle Romieu; David Van Den Berg; Donglei Hu; Nadia N. Hansel; Ryan D. Hernandez; Elliott Israel; Muhammad T. Salam; Joshua M Galanter

Asthma is a common disease with a complex risk architecture including both genetic and environmental factors. We performed a meta-analysis of North American genome-wide association studies of asthma in 5,416 individuals with asthma (cases) including individuals of European American, African American or African Caribbean, and Latino ancestry, with replication in an additional 12,649 individuals from the same ethnic groups. We identified five susceptibility loci. Four were at previously reported loci on 17q21, near IL1RL1, TSLP and IL33, but we report for the first time, to our knowledge, that these loci are associated with asthma risk in three ethnic groups. In addition, we identified a new asthma susceptibility locus at PYHIN1, with the association being specific to individuals of African descent (P = 3.9 × 10−9). These results suggest that some asthma susceptibility loci are robust to differences in ancestry when sufficiently large samples sizes are investigated, and that ancestry-specific associations also contribute to the complex genetic architecture of asthma.


Aging Cell | 2009

Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity.

Ludmila Pawlikowska; Donglei Hu; Scott Huntsman; Andrew Sung; Catherine Chu; Justin Chen; Alexander H. Joyner; Nicholas J. Schork; Wen Chi Hsueh; Alex P. Reiner; Bruce M. Psaty; Gil Atzmon; Nir Barzilai; Steven R. Cummings; Warren S. Browner; Pui-Yan Kwok; Elad Ziv

The insulin/IGF1 signaling pathways affect lifespan in several model organisms, including worms, flies and mice. To investigate whether common genetic variation in this pathway influences lifespan in humans, we genotyped 291 common variants in 30 genes encoding proteins in the insulin/IGF1 signaling pathway in a cohort of elderly Caucasian women selected from the Study of Osteoporotic Fractures (SOF). The cohort included 293 long‐lived cases (lifespan ≥ 92 years (y), mean ± standard deviation (SD) = 95.3 ± 2.2y) and 603 average‐lifespan controls (lifespan ≤ 79y, mean = 75.7 ± 2.6y). Variants were selected for genotyping using a haplotype‐tagging approach. We found a modest excess of variants nominally associated with longevity. Nominally significant variants were then replicated in two additional Caucasian cohorts including both males and females: the Cardiovascular Health Study and Ashkenazi Jewish Centenarians. An intronic single nucleotide polymorphism in AKT1, rs3803304, was significantly associated with lifespan in a meta‐analysis across the three cohorts (OR = 0.78 95%CI = 0.68–0.89, adjusted P = 0.043); two intronic single nucleotide polymorphisms in FOXO3A demonstrated a significant lifespan association among women only (rs1935949, OR = 1.35, 95%CI = 1.15–1.57, adjusted P = 0.0093). These results demonstrate that common variants in several genes in the insulin/IGF1 pathway are associated with human lifespan.


The New England Journal of Medicine | 2010

Genetic ancestry in lung-function predictions

Rajesh Kumar; Max A. Seibold; Melinda C. Aldrich; L. Keoki Williams; Alex P. Reiner; Laura A. Colangelo; Joshua M. Galanter; Christopher R. Gignoux; Donglei Hu; Saunak Sen; Shweta Choudhry; Edward L. Peterson; Jose R. Rodriguez-Santana; William Rodriguez-Cintron; Michael A. Nalls; Tennille S. Leak; Ellen S. O'Meara; Bernd Meibohm; Stephen B. Kritchevsky; Rongling Li; Tamara B. Harris; Deborah A. Nickerson; Myriam Fornage; Paul L. Enright; Elad Ziv; Lewis J. Smith; Kiang Liu; Esteban G. Burchard

BACKGROUND Self-identified race or ethnic group is used to determine normal reference standards in the prediction of pulmonary function. We conducted a study to determine whether the genetically determined percentage of African ancestry is associated with lung function and whether its use could improve predictions of lung function among persons who identified themselves as African American. METHODS We assessed the ancestry of 777 participants self-identified as African American in the Coronary Artery Risk Development in Young Adults (CARDIA) study and evaluated the relation between pulmonary function and ancestry by means of linear regression. We performed similar analyses of data for two independent cohorts of subjects identifying themselves as African American: 813 participants in the Health, Aging, and Body Composition (HABC) study and 579 participants in the Cardiovascular Health Study (CHS). We compared the fit of two types of models to lung-function measurements: models based on the covariates used in standard prediction equations and models incorporating ancestry. We also evaluated the effect of the ancestry-based models on the classification of disease severity in two asthma-study populations. RESULTS African ancestry was inversely related to forced expiratory volume in 1 second (FEV(1)) and forced vital capacity in the CARDIA cohort. These relations were also seen in the HABC and CHS cohorts. In predicting lung function, the ancestry-based model fit the data better than standard models. Ancestry-based models resulted in the reclassification of asthma severity (based on the percentage of the predicted FEV(1)) in 4 to 5% of participants. CONCLUSIONS Current predictive equations, which rely on self-identified race alone, may misestimate lung function among subjects who identify themselves as African American. Incorporating ancestry into normative equations may improve lung-function estimates and more accurately categorize disease severity. (Funded by the National Institutes of Health and others.)


American Journal of Human Genetics | 2007

Admixture mapping of an allele affecting interleukin 6 soluble receptor and interleukin 6 levels.

David Reich; Nick Patterson; Vijaya Ramesh; Philip L. De Jager; Gavin J. McDonald; Arti Tandon; Edwin Choy; Donglei Hu; Bani Tamraz; Ludmila Pawlikowska; Christina Wassel-Fyr; Scott Huntsman; Alicja Waliszewska; Elizabeth Rossin; Rongling Li; Melissa Garcia; Alex P. Reiner; Robert E. Ferrell; Steve Cummings; Pui-Yan Kwok; Tamara B. Harris; Joseph M. Zmuda; Elad Ziv

Circulating levels of inflammatory markers can predict cardiovascular disease risk. To identify genes influencing the levels of these markers, we genotyped 1,343 single-nucleotide polymorphisms (SNPs) in 1,184 African Americans from the Health, Aging and Body Composition (Health ABC) Study. Using admixture mapping, we found a significant association of interleukin 6 soluble receptor (IL-6 SR) with European ancestry on chromosome 1 (LOD 4.59), in a region that includes the gene for this receptor (IL-6R). Genotyping 19 SNPs showed that the effect is largely explained by an allele at 4% frequency in West Africans and at 35% frequency in European Americans, first described as associated with IL-6 SR in a Japanese cohort. We replicate this association (P<<1.0x10-12) and also demonstrate a new association with circulating levels of a different molecule, IL-6 (P<3.4x10-5). After replication in 1,674 European Americans from Health ABC, the combined result is even more significant: P<<1.0x10-12 for IL-6 SR, and P<2.0x10-9 for IL-6. These results also serve as an important proof of principle, showing that admixture mapping can not only coarsely localize but can also fine map a phenotypically important variant.


American Journal of Human Genetics | 2008

Admixture Mapping of White Cell Count: Genetic Locus Responsible for Lower White Blood Cell Count in the Health ABC and Jackson Heart Studies

Michael A. Nalls; James G. Wilson; Nick Patterson; Arti Tandon; Joseph M. Zmuda; Scott Huntsman; Melissa Garcia; Donglei Hu; Rongling Li; Brock A. Beamer; Kushang V. Patel; Ermeg L. Akylbekova; Joe C. Files; Cheryl L. Hardy; Sarah G. Buxbaum; Herman A. Taylor; David Reich; Tamara B. Harris; Elad Ziv

White blood cell count (WBC) is an important clinical marker that varies among different ethnic groups. African Americans are known to have a lower WBC than European Americans. We surveyed the entire genome for loci underlying this difference in WBC by using admixture mapping. We analyzed data from African American participants in the Health, Aging, and Body Composition Study and the Jackson Heart Study. Participants of both studies were genotyped across >or= 1322 single nucleotide polymorphisms that were pre-selected to be informative for African versus European ancestry and span the entire genome. We used these markers to estimate genetic ancestry in each chromosomal region and then tested the association between WBC and genetic ancestry at each locus. We found a locus on chromosome 1q strongly associated with WBC (p < 10(-12)). The strongest association was with a marker known to affect the expression of the Duffy blood group antigen. Participants who had both copies of the common West African allele had a mean WBC of 4.9 (SD 1.3); participants who had both common European alleles had a mean WBC of 7.1 (SD 1.3). This variant explained approximately 20% of population variation in WBC. We used admixture mapping, a novel method for conducting genetic-association studies, to find a region that was significantly associated with WBC on chromosome 1q. Additional studies are needed to determine the biological mechanism for this effect and its clinical implications.


Cancer Discovery | 2012

CD36 Repression Activates a Multicellular Stromal Program Shared by High Mammographic Density and Tumor Tissues

Rosa Anna DeFilippis; Hang Chang; Nancy Dumont; Joseph T. Rabban; Yunn Yi Chen; Gerald Fontenay; Hal K. Berman; Mona L. Gauthier; Jianxin Zhao; Donglei Hu; James Marx; Judy A. Tjoe; Elad Ziv; Maria Febbraio; Karla Kerlikowske; Bahram Parvin; Thea D. Tlsty

UNLABELLED Although high mammographic density is considered one of the strongest risk factors for invasive breast cancer, the genes involved in modulating this clinical feature are unknown. Tissues of high mammographic density share key histologic features with stromal components within malignant lesions of tumor tissues, specifically low adipocyte and high extracellular matrix (ECM) content. We show that CD36, a transmembrane receptor that coordinately modulates multiple protumorigenic phenotypes, including adipocyte differentiation, angiogenesis, cell-ECM interactions, and immune signaling, is greatly repressed in multiple cell types of disease-free stroma associated with high mammographic density and tumor stroma. Using both in vitro and in vivo assays, we show that CD36 repression is necessary and sufficient to recapitulate the above-mentioned phenotypes observed in high mammographic density and tumor tissues. Consistent with a functional role for this coordinated program in tumorigenesis, we observe that clinical outcomes are strongly associated with CD36 expression. SIGNIFICANCE CD36 simultaneously controls adipocyte content and matrix accumulation and is coordinately repressed in multiple cell types within tumor and high mammographic density stroma, suggesting that activation of this stromal program is an early event in tumorigenesis. Levels of CD36 and extent of mammographic density are both modifiable factors that provide potential for intervention.


Ageing Research Reviews | 2011

Genetic variation in insulin/IGF-1 signaling pathways and longevity ☆

Elad Ziv; Donglei Hu

The insulin/IGF-1 pathway has been shown to affect lifespan and rate of aging in a variety of animals including worms, flies and mice. Genetic variation in this pathway may also affect human longevity. We review the evidence for the effect of this pathway on longevity with a focus on the genetic studies in humans to date. One gene, FOXO3A, a transcriptional factor homologous to daf-16, has been repeatedly associated with increased lifespan in several studies in different ethnic populations.


Nature Methods | 2016

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies

Elior Rahmani; Noah Zaitlen; Yael Baran; Celeste Eng; Donglei Hu; Joshua M. Galanter; Sam S. Oh; Esteban G. Burchard; Eleazar Eskin; James Zou; Eran Halperin

In epigenome-wide association studies (EWAS), different methylation profiles of distinct cell types may lead to false discoveries. We introduce ReFACTor, a method based on principal component analysis (PCA) and designed for the correction of cell type heterogeneity in EWAS. ReFACTor does not require knowledge of cell counts, and it provides improved estimates of cell type composition, resulting in improved power and control for false positives in EWAS. Corresponding software is available at http://www.cs.tau.ac.il/~heran/cozygene/software/refactor.html.


The Journal of Allergy and Clinical Immunology | 2015

Genetic ancestry influences asthma susceptibility and lung function among Latinos.

Maria Pino-Yanes; Neeta Thakur; Christopher R. Gignoux; Joshua M. Galanter; Lindsey A. Roth; Celeste Eng; Katherine K. Nishimura; Sam S. Oh; Hita Vora; Scott Huntsman; Elizabeth A. Nguyen; Donglei Hu; Katherine A. Drake; David V. Conti; Andres Moreno-Estrada; Karla Sandoval; Cheryl A. Winkler; Luisa N. Borrell; Fred Lurmann; Talat Islam; Adam Davis; Harold J. Farber; Kelley Meade; Pedro C. Avila; Denise Serebrisky; Kirsten Bibbins-Domingo; Michael LeNoir; Jean G. Ford; Emerita Brigino-Buenaventura; William Rodriguez-Cintron

BACKGROUND Childhood asthma prevalence and morbidity varies among Latinos in the United States, with Puerto Ricans having the highest and Mexicans the lowest. OBJECTIVE To determine whether genetic ancestry is associated with the odds of asthma among Latinos, and secondarily whether genetic ancestry is associated with lung function among Latino children. METHODS We analyzed 5493 Latinos with and without asthma from 3 independent studies. For each participant, we estimated the proportion of African, European, and Native American ancestry using genome-wide data. We tested whether genetic ancestry was associated with the presence of asthma and lung function among subjects with and without asthma. Odds ratios (OR) and effect sizes were assessed for every 20% increase in each ancestry. RESULTS Native American ancestry was associated with lower odds of asthma (OR = 0.72, 95% CI: 0.66-0.78, P = 8.0 × 10(-15)), while African ancestry was associated with higher odds of asthma (OR = 1.40, 95% CI: 1.14-1.72, P = .001). These associations were robust to adjustment for covariates related to early life exposures, air pollution, and socioeconomic status. Among children with asthma, African ancestry was associated with lower lung function, including both pre- and post-bronchodilator measures of FEV1 (-77 ± 19 mL; P = 5.8 × 10(-5) and -83 ± 19 mL; P = 1.1 x 10(-5), respectively) and forced vital capacity (-100 ± 21 mL; P = 2.7 × 10(-6) and -107 ± 22 mL; P = 1.0 x 10(-6), respectively). CONCLUSION Differences in the proportions of genetic ancestry can partially explain disparities in asthma susceptibility and lung function among Latinos.


Nature Communications | 2014

Genome-wide association study of breast cancer in Latinas identifies novel protective variants on 6q25

Laura Fejerman; Nasim Ahmadiyeh; Donglei Hu; Scott Huntsman; Kenneth B. Beckman; Jennifer L. Caswell; Karen Tsung; Esther M. John; Gabriela Torres-Mejía; Luis Carvajal-Carmona; María Magdalena Echeverry; Anna Marie Tuazon; Carolina Ramirez; Mabel Bohorquez; Rodrigo Prieto; Angel Criollo; Ana Estrada; John Jairo Suáres; Gilbert Mateus; Jorge Mario Castro; Yesid Sánchez; Raúl Murillo; Martha Lucia Serrano; Carolina Sanabria; Justo Germán Olaya; Alejandro Vélez; Jenny Andrea Carmona; Nancy Guerrero Rodríguez; Cristina Serón Sousa; Cesar Eduardo Alvarez Mendez

The genetic contributions to breast cancer development among Latinas are not well understood. Here we carry out a genome-wide association study of breast cancer in Latinas and identify a genome-wide significant risk variant, located 5′ of the Estrogen Receptor 1 gene (ESR1; 6q25 region). The minor allele for this variant is strongly protective (rs140068132: odds ratio (OR) 0.60, 95% confidence interval (CI) 0.53–0.67, P=9 × 10−18), originates from Indigenous Americans and is uncorrelated with previously reported risk variants at 6q25. The association is stronger for oestrogen receptor-negative disease (OR 0.34, 95% CI 0.21–0.54) than oestrogen receptor-positive disease (OR 0.63, 95% CI 0.49–0.80; P heterogeneity=0.01) and is also associated with mammographic breast density, a strong risk factor for breast cancer (P=0.001). rs140068132 is located within several transcription factor-binding sites and electrophoretic mobility shift assays with MCF-7 nuclear protein demonstrate differential binding of the G/A alleles at this locus. These results highlight the importance of conducting research in diverse populations.

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Celeste Eng

University of California

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Scott Huntsman

University of California

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Elad Ziv

University of California

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Sam S. Oh

University of California

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