Mark Daly (scientist)

Mark Daly
Born (1968-02-03) February 3, 1968
Institutions Broad Institute of MIT and Harvard
Harvard University
Alma mater Massachusetts Institute of Technology
Doctoral advisor Eric Lander
Known for
Notable awards Curt Stern Award

Mark Daly is a Professor of Genetics at Harvard Medical School, and the Chief of the Analytic and Translational Genetic Unit at Massachusetts General Hospital and a member of the Broad Institute of MIT and Harvard.[1] In the early days of the Human Genome Project, Daly helped develop the genetic model by which linkage disequilibrium could be used to map the haplotype structure of the human genome.[2] In addition, he developed statistical methods to find associations between genes and disorders such as inflammatory bowel disease, autism and schizophrenia.[3]

Daly is considered a pioneer in the field of human genetics, and is amongst the most cited scientists in the field,[3] and one of the top 100 most cited scientists of all time.[4]

Education

Daly studied physics at MIT, although he initially wanted to become a lawyer or poker player, he joined Eric Lander as a freshman.[5] Mark continued to work with Lander, before eventually received his PhD from Leiden University in 2004.

Research

Daly trained with Eric Lander at the Whitehead Institute, and most of his initial efforts were to map haplotypes across the human genome. During his time there, his team developed Haploview. As genome sequencing has become cheaper, his group worked on developing statistical methods to implicate genetic mutations in neuropsychiatric diseases.[6][7]

References

  1. "Mark Daly - Broad Institute". Broadinstitute.org. Retrieved 20 July 2017.
  2. Daly, Mark J.; Rioux, John D.; Schaffner, Stephen F.; Hudson, Thomas J.; Lander, Eric S. (1 October 2001). "High-resolution haplotype structure in the human genome". Nature Genetics. 29 (2): 229–232. doi:10.1038/ng1001-229. Retrieved 4 August 2017 via www.nature.com.
  3. 1 2 "ASHG Honors Gonçalo R. Abecasis and Mark J. Daly with Curt Stern Award - ASHG". www.ashg.org. Retrieved 4 August 2017.
  4. "1612 Highly Cited Researchers (h>100) according to their Google Scholar Citations public profiles - Ranking Web of Universities". www.webometrics.info. Retrieved 4 August 2017.
  5. "Lens :: A New Way of Looking at Science -- Eric Lander: The great amplifier". www.mc.vanderbilt.edu. Retrieved 4 August 2017.
  6. Neale, Benjamin M.; Kou, Yan; Liu, Li; Ma'ayan, Avi; Samocha, Kaitlin E.; Sabo, Aniko; Lin, Chiao-Feng; Stevens, Christine; Wang, Li-San; Makarov, Vladimir; Polak, Paz; Yoon, Seungtai; Maguire, Jared; Crawford, Emily L.; Campbell, Nicholas G.; Geller, Evan T.; Valladares, Otto; Shafer, Chad; Liu, Han; Zhao, Tuo; Cai, Guiqing; Lihm, Jayon; Dannenfelser, Ruth; Jabado, Omar; Peralta, Zuleyma; Nagaswamy, Uma; Muzny, Donna; Reid, Jeffrey G.; Newsham, Irene; Wu, Yuanqing; Lewis, Lora; Han, Yi; Voight, Benjamin F.; Lim, Elaine; Rossin, Elizabeth; Kirby, Andrew; Flannick, Jason; Fromer, Menachem; Shakir, Khalid; Fennell, Tim; Garimella, Kiran; Banks, Eric; Poplin, Ryan; Gabriel, Stacey; DePristo, Mark; Wimbish, Jack R.; Boone, Braden E.; Levy, Shawn E.; Betancur, Catalina; Sunyaev, Shamil; Boerwinkle, Eric; Buxbaum, Joseph D.; Cook, Edwin H.; Devlin, Bernie; Gibbs, Richard A.; Roeder, Kathryn; Schellenberg, Gerard D.; Sutcliffe, James S.; Daly, Mark J. (4 April 2012). "Patterns and rates of exonic de novo mutations in autism spectrum disorders". Nature. 485 (7397): 242–245. PMC 3613847Freely accessible. PMID 22495311. doi:10.1038/nature11011.
  7. Samocha, Kaitlin E.; Robinson, Elise B.; Sanders, Stephan J.; Stevens, Christine; Sabo, Aniko; McGrath, Lauren M.; Kosmicki, Jack A.; Rehnström, Karola; Mallick, Swapan; Kirby, Andrew; Wall, Dennis P.; MacArthur, Daniel G.; Gabriel, Stacey B.; DePristo, Mark; Purcell, Shaun M.; Palotie, Aarno; Boerwinkle, Eric; Buxbaum, Joseph D.; Cook Jr, Edwin H.; Gibbs, Richard A.; Schellenberg, Gerard D.; Sutcliffe, James S.; Devlin, Bernie; Roeder, Kathryn; Neale, Benjamin M.; Daly, Mark J. (1 September 2014). "A framework for the interpretation of de novo mutation in human disease". Nature Genetics. 46 (9): 944–950. doi:10.1038/ng.3050. Retrieved 4 August 2017 via www.nature.com.
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