Statistical Genetics and Population Genetics

Singapore Skyline (picture from wikipedia under the GNU Free Documentation License)


We are a small but energetic research group working on statistical and population genetics in Singapore, a metropolitan city close to the Equator of the Earth (see the picture above). As a computational group, we collaborate closely with biologists and clinicians to study population genetics and various human genetic diseases. We develop and distribute novel statistical and computational methods to address new challenges arise from large-scale human genetics and genomics data when there is no off-the-shelf tool available.

Positions available: We are looking for motivated researchers to join the lab at research scientist, postdoctoral fellow, research assistant, and graduate student levels. Click here for more information.

Recent News

  • 25-Jul-2016: We welcome our new group member, Baoluo Sun! Baoluo recently finished his Ph.D. in Biostatistics from Harvard T.H. Chan School of Public Health. He join us as a Postdoctoral Fellow, under the support of an A*STAR National Science Scholarship.

  • 15-Apr-2016: Chaolong Wang is appointed as an Adjunct Assistant Professor at the Centre for Computational Biology, Duke-NUS Medical School.

  • 6-Apr-2016: New paper in AJHG! In this work, Han Chen and Chaolong Wang et al. demonstrate that using linear mixed models to correct for population stratification and family relatedness in case-control studies can lead to misleading results. We propose a computationally efficient algorithm to enable the application of generalized linear mixed models in large-scale genome-wide association studies. Our method is publicly available in an R package called GMMAT.

  • 5-Aug-2015: Ph.D. student Zengmiao Wang from Peking University will visit us for 6 months. Welcome!

  • 3-Jul-2015: Two new members Sonia Chothani and Jinzhuang Dou have recently joined our lab as a Data Analyst and a Postdoctoral Fellow, respectively. Welcome Sonia and Jinzhuang!

  • 4-Jun-2015: A study led by Chaolong Wang reports LASER 2.0 method in AJHG for ancestry estimation using either sequencing reads or genotyping data. This work extends our previous LASER method and demonstrates that a combination of projection Procrustes analysis and genotype imputation can substantially improve fine-scale ancestry estimation using small amounts of sequencing or genotyping data.

  • 2-Jan-2015: Chaolong Wang starts Wang Lab at the Genome Institute of Singapore!