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Ruidong Xiang Profile
Ruidong Xiang

@RXiang5

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Research Leader Computational Biology @DEECA_Vic @VicGovAg | visiting researcher @CamBakerSGI | @BakerResearchAu | @UniMelb | Views my own

Melbourne, Victoria
Joined October 2019
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@RXiang5
Ruidong Xiang
4 months
GSOR is validated by applying it to milk lipid traits in cattle, led by Ghoreishifar et al, and they identify potentially causal genes and pathways linked to milk composition:
lnkd.in
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@RXiang5
Ruidong Xiang
4 months
GSOR is validated by applying it to milk lipid traits in cattle, led by Ghoreishifar et al, and they identify potentially causal genes and pathways linked to milk composition:
lnkd.in
This link will take you to a page that’s not on LinkedIn
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@RXiang5
Ruidong Xiang
4 months
Estimated Breeding Value(EBV) or Polygenic Score(PGS) cal using genome-wide SNPs. We propose calculate EBV or PGS near genes - cis or local EBV/PGS to assoc with assayed gene expression to prioritise genes and tissues: Genetic score omics regression (GSOR) https://t.co/CJBMNJrrBs
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@RXiang5
Ruidong Xiang
4 months
Estimated Breeding Value(EBV) or Polygenic Score(PGS) cal using genome-wide SNPs. We propose calculate EBV or PGS near genes - cis or local EBV/PGS to assoc with assayed gene expression to prioritise genes and tissues: Genetic score omics regression (GSOR) https://t.co/CJBMNJrrBs
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@RXiang5
Ruidong Xiang
5 months
We collaborated on analysing MRI imaging data from the UK Biobank, found that visceral adipose tissue (abdominal fat) has stronger links to venous thromboembolism (blood clot) than BMI. Publication: https://t.co/gFVDVbZoBV
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@RXiang5
Ruidong Xiang
5 months
We collaborated on analysing MRI imaging data from the UK Biobank, found that visceral adipose tissue (abdominal fat) has stronger links to venous thromboembolism (blood clot) than BMI. Publication: https://t.co/gFVDVbZoBV
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@RXiang5
Ruidong Xiang
6 months
Complex trait analyses usually focus on trait means. We analysed trait variances in human blood cell phenotypes, yielding new biological/clinical insights: trait variation strongly negatively selected, impact polygenic score accuracy and highlights the effect of alcohol on health
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@RXiang5
Ruidong Xiang
6 months
Complex trait analyses usually focus on trait means. We analysed trait variances in human blood cell phenotypes, yielding new biological/clinical insights: trait variation strongly negatively selected, impact polygenic score accuracy and highlights the effect of alcohol on health
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@LingzhaoF
Lingzhao Fang
7 months
Thrilled to share that the pilot ChickenGTEx resource is online at Nature Genetics now ⁦@NatureGenet⁩ . Congratulations to all the collaborators. Looking forward to more scientific outcomes from the FarmGTEx.
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nature.com
Nature Genetics - This study introduces a ChickenGTEx atlas of regulatory variants across 28 tissues and illustrates its utility in deciphering association signals for 39 complex traits in chickens.
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@RXiang5
Ruidong Xiang
8 months
Exciting global efforts to discover and use regulatory variants (eg, eQTLs, sQTLs) to enhance agriculture, evolution and biomedicine! Further reading for our pioneer work in Cattle GTEx: resource 👉 https://t.co/TyHVZNDKYv; trait heritability dissection 👉 https://t.co/AGPUWvnJ1f
@LingzhaoF
Lingzhao Fang
8 months
Thrilled to share that The Farm Animal Genotype–Tissue Expression (FarmGTEx) Project perspective paper is out ⁦@NatureGenet⁩. Thank all the authors for the efforts and supports. Looking forward to seeing amazing science coming from this initiative.
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@RXiang5
Ruidong Xiang
8 months
Exciting global efforts to discover and use regulatory variants (eg, eQTLs, sQTLs) to enhance agriculture, evolution and biomedicine! Further reading for our pioneer work in Cattle GTEx: resource 👉 https://t.co/TyHVZNDKYv; trait heritability dissection 👉 https://t.co/AGPUWvnJ1f
@LingzhaoF
Lingzhao Fang
8 months
Thrilled to share that The Farm Animal Genotype–Tissue Expression (FarmGTEx) Project perspective paper is out ⁦@NatureGenet⁩. Thank all the authors for the efforts and supports. Looking forward to seeing amazing science coming from this initiative.
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@david_machugh
David MacHugh
8 months
Great to see the Farm Animal Genotype–Tissue Expression (#FarmGTEx) Project perspective article published in @NatureGenet. A fantastic #livestock #FunctionalGenomics project led by @LingzhaoF at @AarhusUni_int. https://t.co/HVtH4In3i5
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@LingzhaoF
Lingzhao Fang
8 months
Thrilled to share that The Farm Animal Genotype–Tissue Expression (FarmGTEx) Project perspective paper is out ⁦@NatureGenet⁩. Thank all the authors for the efforts and supports. Looking forward to seeing amazing science coming from this initiative.
Tweet card summary image
nature.com
Nature Genetics - The FarmGTEx Project aims to understand genetic control of gene activity under diverse biological and environmental contexts in domestic animals, providing a foundation for...
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@RXiang5
Ruidong Xiang
8 months
One of it’s kind: sheep multi-tissue developmental gene expression atlas (dGEA) https://t.co/KNBCFveMqx ; global collaboration across EU, China, Australia and US! @emilylouise221 @LingzhaoF
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@nextgenbreeders
ARC Training Centre in Predictive Breeding
1 year
Thank you to everyone who joined us at UQ on Friday to celebrate the Official Launch of the ARC Training Centre in Predictive Breeding. It was great to see so many of our researchers and industry partners, and we're so excited about the journey ahead! ➡️ https://t.co/fvm1ZNPxex
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@nextgenbreeders
ARC Training Centre in Predictive Breeding
1 year
We’re excited to launch a new Expression of Interest (EOI) form to allow you to apply for PhD studentship or postdoctoral researcher positions within the @arc_gov_au Training Centre in Predictive Breeding. We are especially seeking EOI's from Quantitative Geneticists in Animal
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@RXiang5
Ruidong Xiang
1 year
Join us in the Computational Biology team at Beautiful Melbourne, a leading research unit in statistical genetics and genomics using big data to improve productivity and welfare of agricultural species. Apply if interested in analyses of super big datasets!
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@RXiang5
Ruidong Xiang
1 year
Join us in the Computational Biology team at Beautiful Melbourne, a leading research unit in statistical genetics and genomics using big data to improve productivity and welfare of agricultural species. Apply if interested in analyses of super big datasets!
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