8 results on '"Xia, Charley"'
Search Results
2. Comparative transcriptome in large-scale human and cattle populations
- Author
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Yao, Yuelin, Yao, Yuelin, Liu, Shuli, Xia, Charley, Gao, Yahui, Pan, Zhangyuan, Canela-Xandri, Oriol, Khamseh, Ava, Rawlik, Konrad, Wang, Sheng, Li, Bingjie, Zhang, Yi, Pairo-Castineira, Erola, D’Mellow, Kenton, Li, Xiujin, Yan, Ze, Li, Cong-jun, Yu, Ying, Zhang, Shengli, Ma, Li, Cole, John B., Ross, Pablo J., Zhou, Huaijun, Haley, Chris, Liu, George E., Fang, Lingzhao, Tenesa, Albert, Yao, Yuelin, Yao, Yuelin, Liu, Shuli, Xia, Charley, Gao, Yahui, Pan, Zhangyuan, Canela-Xandri, Oriol, Khamseh, Ava, Rawlik, Konrad, Wang, Sheng, Li, Bingjie, Zhang, Yi, Pairo-Castineira, Erola, D’Mellow, Kenton, Li, Xiujin, Yan, Ze, Li, Cong-jun, Yu, Ying, Zhang, Shengli, Ma, Li, Cole, John B., Ross, Pablo J., Zhou, Huaijun, Haley, Chris, Liu, George E., Fang, Lingzhao, and Tenesa, Albert
- Abstract
Cross-species comparison of transcriptomes is important for elucidating evolutionary molecular mechanisms underpinning phenotypic variation between and within species, yet to date it has been essentially limited to model organisms with relatively small sample sizes. Here, we systematically analyze and compare 10,830 and 4866 publicly available RNA-seq samples in humans and cattle, respectively, representing 20 common tissues. Focusing on 17,315 orthologous genes, we demonstrate that mean/median gene expression, inter-individual variation of expression, expression quantitative trait loci, and gene co-expression networks are generally conserved between humans and cattle. By examining large-scale genome-wide association studies for 46 human traits (average n = 327,973) and 45 cattle traits (average n = 24,635), we reveal that the heritability of complex traits in both species is significantly more enriched in transcriptionally conserved than diverged genes across tissues. In summary, our study provides a comprehensive comparison of transcriptomes between humans and cattle, which might help decipher the genetic and evolutionary basis of complex traits in both species.
- Published
- 2022
3. The contributions of mitochondrial and nuclear mitochondrial genetic variation to neuroticism.
- Author
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Xia, Charley, Pickett, Sarah J., Liewald, David C. M., Weiss, Alexander, Hudson, Gavin, and Hill, W. David
- Subjects
GENETIC variation ,NEUROTICISM ,GENOME-wide association studies ,HAPLOGROUPS ,GENE regulatory networks ,PHYSIOLOGICAL stress ,MITOCHONDRIAL DNA ,MITOCHONDRIA - Abstract
Neuroticism is a heritable trait composed of separate facets, each conferring different levels of protection or risk, to health. By examining mitochondrial DNA in 269,506 individuals, we show mitochondrial haplogroups explain 0.07-0.01% of variance in neuroticism and identify five haplogroup and 15 mitochondria-marker associations across a general factor of neuroticism, and two special factors of anxiety/tension, and worry/vulnerability with effect sizes of the same magnitude as autosomal variants. Within-haplogroup genome-wide association studies identified H-haplogroup-specific autosomal effects explaining 1.4% variance of worry/vulnerability. These H-haplogroup-specific autosomal effects show a pleiotropic relationship with cognitive, physical and mental health that differs from that found when assessing autosomal effects across haplogroups. We identify interactions between chromosome 9 regions and mitochondrial haplogroups at P < 5 × 10
−8 , revealing associations between general neuroticism and anxiety/tension with brain-specific gene co-expression networks. These results indicate that the mitochondrial genome contributes toward neuroticism and the autosomal links between neuroticism and health. Genetic variation in mitochondrial DNA can influence human traits, but it is not as well studied in association with complex traits. Here, the authors find associations between mitochondrial haplogroups and genetic variation and neuroticism. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
4. Collective genomic segments with differential pleiotropic patterns between cognitive dimensions and psychopathology.
- Author
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Lam, Max, Chen, Chia-Yen, Hill, W. David, Xia, Charley, Tian, Ruoyu, Levey, Daniel F., Gelernter, Joel, Stein, Murray B., Hatoum, Alexander S., Huang, Hailiang, Malhotra, Anil K., Runz, Heiko, Ge, Tian, and Lencz, Todd
- Subjects
GENETIC correlations ,TASK performance ,COGNITION disorders ,EDUCATIONAL attainment ,COGNITIVE ability ,22Q11 deletion syndrome - Abstract
Cognitive deficits are known to be related to most forms of psychopathology. Here, we perform local genetic correlation analysis as a means of identifying independent segments of the genome that show biologically interpretable pleiotropic associations between cognitive dimensions and psychopathology. We identify collective segments of the genome, which we call "meta-loci", showing differential pleiotropic patterns for psychopathology relative to either cognitive task performance (CTP) or performance on a non-cognitive factor (NCF) derived from educational attainment. We observe that neurodevelopmental gene sets expressed during the prenatal-early childhood period predominate in CTP-relevant meta-loci, while post-natal gene sets are more involved in NCF-relevant meta-loci. Further, we demonstrate that neurodevelopmental gene sets are dissociable across CTP meta-loci with respect to their spatial distribution across the brain. Additionally, we find that GABA-ergic, cholinergic, and glutamatergic genes drive pleiotropic relationships within dissociable meta-loci. Cognitive impairments are a key feature of psychopathology. Here, authors exploit the genetic overlap between cognitive dimensions and psychopathology to parse the biology of psychiatric illness and identify "meta-loci" genome segments characterized by specific patterns of overlap. [ABSTRACT FROM AUTHOR]
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- 2022
- Full Text
- View/download PDF
5. Evidence of horizontal indirect genetic effects in humans.
- Author
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Xia, Charley, Canela-Xandri, Oriol, Rawlik, Konrad, and Tenesa, Albert
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- 2021
- Full Text
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6. Regional variation in health is predominantly driven by lifestyle rather than genetics.
- Author
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Amador, Carmen, Xia, Charley, Nagy, Réka, Campbell, Archie, Porteous, David, Smith, Blair H., Hastie, Nick, Vitart, Veronique, Hayward, Caroline, Navarro, Pau, and Haley, Chris S.
- Subjects
GENETICS ,REGIONAL differences ,HOME environment ,SOCIOECONOMIC factors ,NUTRITIONAL genomics - Abstract
Regional differences in health-related phenotypes have been detected between and within countries. In Scotland, regions differ for a variety of health-related traits and display differences in mean lifespan of up to 7.5 years. Both genetics and lifestyle differences are potential causes of this variation. Using data on obesity-related traits of -11,000 Scottish individuals with genome-wide genetic information and records of lifestyle and socioeconomic factors, we explored causes of regional variation by using models that incorporate genetic and environmental information jointly. We found that variation between individuals within regions showed substantial influence of both genetic variation and family environment. Regional variation for most obesity traits was associated with lifestyle and socioeconomic variables, such as smoking, diet and deprivation which are potentially modifiable. There was limited evidence that regional differences were of genetic origin. This has important implications for healthcare policies, suggesting that inequalities can be tackled with appropriate social and economic interventions. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
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7. Publisher Correction: Parent of origin genetic effects on methylation in humans are common and influence complex trait variation.
- Author
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Zeng, Yanni, Amador, Carmen, Xia, Charley, Marioni, Riccardo, Sproul, Duncan, Walker, Rosie M., Morris, Stewart W., Bretherick, Andrew, Canela-Xandri, Oriol, Boutin, Thibaud S., Clark, David W., Campbell, Archie, Rawlik, Konrad, Hayward, Caroline, Nagy, Reka, Tenesa, Albert, Porteous, David J., Wilson, James F., Deary, Ian J., and Evans, Kathryn L.
- Abstract
In the original version of this Article, the legend in the upper panel of Figure 2 incorrectly read 'paternal imprinting' and should have read 'maternal imprinting'. This has been corrected in both the PDF and HTML versions of the Article. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
8. Parent of origin genetic effects on methylation in humans are common and influence complex trait variation.
- Author
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Zeng, Yanni, Amador, Carmen, Xia, Charley, Marioni, Riccardo, Sproul, Duncan, Walker, Rosie M., Morris, Stewart W., Bretherick, Andrew, Canela-Xandri, Oriol, Boutin, Thibaud S., Clark, David W., Campbell, Archie, Rawlik, Konrad, Hayward, Caroline, Nagy, Reka, Tenesa, Albert, Porteous, David J., Wilson, James F., Deary, Ian J., and Evans, Kathryn L.
- Abstract
Parent-of-origin effects (POE) exist when there is differential expression of alleles inherited from the two parents. A genome-wide scan for POE on DNA methylation at 639,238 CpGs in 5,101 individuals identifies 733 independent methylation CpGs potentially influenced by POE at a false discovery rate ≤ 0.05 of which 331 had not previously been identified. Cis and trans methylation quantitative trait loci (mQTL) regulate methylation variation through POE at 54% (399/733) of the identified POE-influenced CpGs. The combined results provide strong evidence for previously unidentified POE-influenced CpGs at 171 independent loci. Methylation variation at 14 of the POE-influenced CpGs is associated with multiple metabolic traits. A phenome-wide association analysis using the POE mQTL SNPs identifies a previously unidentified imprinted locus associated with waist circumference. These results provide a high resolution population-level map for POE on DNA methylation sites, their local and distant regulators and potential consequences for complex traits. Parent-of-origin effects (POE) are observed when there are different effects from alleles inherited from the two parents on phenotypic measures. Here, Zeng et al. study POE on DNA methylation in 5,101 individuals and identify genetic variants that associate with methylation variation via POE and their potential phenotypic consequences. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
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