Browsing by Author "Zeng, Changqing"

Now showing 1 - 4 of 4
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    Genome-wide association studies identify multiple genetic loci influencing eyebrow color variation in Europeans
    (Elsevier, 2019) Peng, Fuduan; Zhu, Gu; Hysi, Pirro G.; Eller, Ryan J.; Chen, Yan; Li, Yi; Hamer, Merel A.; Zeng, Changqing; Hopkins, Racquel L.; Jacobus, Case L.; Wallace, Paige L.; Uitterlinden, André G.; Ikram, M. Arfan; Duffy, David L.; Nijsten, Tamar; Medland, Sarah E.; Spector, Timothy D.; Walsh, Susan; Martin, Nicholas G.; Liu, Fan; Kayser, Manfred; Biology, School of Science
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    Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure
    (Nature Publishing Group, 2018-05-08) Visconti, Alessia; Duffy, David L.; Liu, Fan; Zhu, Gu; Wu, Wenting; Chen, Yan; Hysi, Pirro G.; Zeng, Changqing; Sanna, Marianna; Iles, Mark M.; Kanetsky, Peter A.; Demenais, Florence; Hamer, Merel A.; Uitterlinden, Andre G.; Ikram, M. Arfan; Nijsten, Tamar; Martin, Nicholas G.; Kayser, Manfred; Spector, Tim D.; Han, Jiali; Bataille, Veronique; Falchi, Mario; Epidemiology, School of Public Health
    The skin's tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm previously identified associations at six of these loci, and report 14 novel loci, of which ten have never been associated with pigmentation-related phenotypes. Our results also suggest that variants at the AHR/AGR3 locus, previously associated with cutaneous malignant melanoma the underlying mechanism of which is poorly understood, might act on disease risk through modulation of tanning ability.
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    Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color
    (American Association for the Advancement of Science, 2021-03-10) Simcoe, Mark; Valdes, Ana; Liu, Fan; Furlotte, Nicholas A.; Evans, David M.; Hemani, Gibran; Ring, Susan M.; Smith, George Davey; Duffy, David L.; Zhu, Gu; Gordon, Scott D.; Medland, Sarah E.; Vuckovic, Dragana; Girotto, Giorgia; Sala, Cinzia; Catamo, Eulalia; Concas, Maria Pina; Brumat, Marco; Gasparini, Paolo; Toniolo, Daniela; Cocca, Massimiliano; Robino, Antonietta; Yazar, Seyhan; Hewitt, Alex; Wu, Wenting; Kraft, Peter; Hammond, Christopher J.; Shi, Yuan; Chen, Yan; Zeng, Changqing; Klaver, Caroline C. W.; Uitterlinden, Andre G.; Ikram, M. Arfan; Hamer, Merel A.; van Duijn, Cornelia M.; Nijsten, Tamar; Han, Jiali; Mackey, David A.; Martin, Nicholas G.; Cheng, Ching-Yu; 23andMe Research Team; International Visible Trait Genetics Consortium; Hinds, David A.; Spector, Timothy D.; Kayser, Manfred; Hysi, Pirro G.; Epidemiology, School of Public Health
    Human eye color is highly heritable, but its genetic architecture is not yet fully understood. We report the results of the largest genome-wide association study for eye color to date, involving up to 192,986 European participants from 10 populations. We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified. We find evidence for genes involved in melanin pigmentation, but we also find associations with genes involved in iris morphology and structure. Further analyses in 1636 Asian participants from two populations suggest that iris pigmentation variation in Asians is genetically similar to Europeans, albeit with smaller effect sizes. Our findings collectively explain 53.2% (95% confidence interval, 45.4 to 61.0%) of eye color variation using common single-nucleotide polymorphisms. Overall, our study outcomes demonstrate that the genetic complexity of human eye color considerably exceeds previous knowledge and expectations, highlighting eye color as a genetically highly complex human trait.
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    Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair
    (Oxford University Press, 2018-02-01) Liu, Fan; Chen, Yan; Zhu, Gu; Hysi, Pirro G.; Wu, Sijie; Adhikari, Kaustubh; Breslin, Krystal; Pośpiech, Ewelina; Hamer, Merel A.; Peng, Fuduan; Muralidharan, Charanya; Acuna-Alonzo, Victor; Canizales-Quinteros, Samuel; Bedoya, Gabriel; Gallo, Carla; Poletti, Giovanni; Rothhammer, Francisco; Bortolini, Maria Catira; Gonzalez-Jose, Rolando; Zeng, Changqing; Xu, Shuhua; Jin, Li; Uitterlinden, André G.; Ikram, M. Arfan; van Duijn, Cornelia M.; Nijsten, Tamar; Walsh, Susan; Branicki, Wojciech; Wang, Sijia; Ruiz-Linares, Andrés; Spector, Timothy D.; Martin, Nicholas G.; Medland, Sarah E.; Kayser, Manfred; Biology, School of Science
    Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28 964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P < 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at the nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62-0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared with a previous model. Prediction outcomes of 2504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans.