Sep 2022

Our team has been awarded a new Autism Center of Excellence (ACE) grant. We will study the development trajectory of children who are at risk of developmental disorders due to highly penetrant genetic factors. The families will be recruited from GUARDIAN, a separate study on newborn screening by whole genome sequencing. Our team will lead the computational and statistical analysis of genomic data.

Our work on genetic causes of autism is recently published as Zhou et al., 2022 on Nature Genetics. Congratulations to Xueya, April, Joseph, and our collaborators at Columbia and the SPARK consortium.

In the paper, we described the analysis of more than 40,000 autism cases to quantify contribution of de novo and rare genetic variants to autism. We confirmed many previously discovered risk genes and found several new risk genes. One of the most notable results is that a few new risk genes, such as NAV3, contribute to autism risk mostly through rare variants inherited from parents that mostly do not have diagnosed autistic conditions. These rare inherited variants have significant but moderate risk, supporting the nature of autism genetic risk is often complex and multi-factorial -- often called as oligo-genic or poly-genic.

Chloe Williams wrote a report on our work on Spectrum : Scans of sundry variant types uncover autism-linked genes.

We welcome new summer students: Lily, Demi, Maugaux, Lesi, and Arthur.

Xiao received a K99/R00 award from NIH! She proposed to develop new statistical and computational methods to improve interpretation of genetic variants in human genetics studies and clinical diagnosis. Congratulations Xiao!

This week, 1st year DBMI PhD students Annie Choi and Vinay Swamy both started rotation in our lab. Welcome Annie and Vinay!

Jul 2021

High school student Alan Tian started a summer research project with us. His project is about developing new machine learning methods to predict functional impact of missense and in-frame indel variants. Welcome Alan!

Alex successfully defended his PhD thesis today. Congratulations Dr. Kitaygorodsky!

Nov 2020

1st year DBMI PhD student Alex Fu started a rotation in our lab. Alex is interested in genetics of noncoding variants and machine learning. He is an avid emacs user. Welcome Alex!