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Benjamin M. Neale on Muck Rack

Benjamin M. Neale

Cambridge
As seen in: Nature, The Washington Post, MDPI, BioRxiv, Cell Press, The American Journal of Human Genetics, The Tennessean, The Scientist, Broad Institute, MDEdge and
Interested in genetics, psychiatry, statistics and politics.
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Articles

The need to consider complexity in the future of behavioral genetics

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By Robbee Wedow, Katherine Thompson, Sarah E. Medland, Michel G. Nivard, Benjamin M. Neale
| Nature Verified
Human behavior is often framed around the ‘nature versus nurture’ debate, but a ‘this or that’ dichotomy does not reflect the current research in genetics and hinders meaningful dialogue. We describe a new generation of research centered around complexity and encourage geneticists to translate this to their communication, teaching and collaboration.
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A blended genome and exome sequencing method captures genetic variation in an unbiased and cost-effective manner

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By Toni Boltz, Benjamin Chu, Matthew DeFelice, Calwing Liao, Julia M. Sealock, Robert Ye, Lerato Majara, Jack M. Fu, Lingyu Zhan, Sarah E. Medland, Sinéad B. Chapman, Simone Rubinacci, Jonna Grimsby, Tamrat Abebe, Melkam Alemayehu, Elizabeth Atkinson Verified, Tim B. Bigdeli, Harrison A. Brand, Lori B. Chibnik, Samuel Deluca, Ana M Diaz-Zuluaga, Abebaw Fekadu, Michael Gatzen, Bizu Gelaye, Toni Hill, Hailiang Huang, Roxanne James, Moses Joloba, Christopher Kachulis, Rogers Kamulegeya, Gabriel Kigen, Soyeon Kim, Nastassja Koen, Edith Kwobah, Seungmo Lee, Niall J Lennon, Penelope A. Lind, Esteban Lopera-Maya, Johnstone Makale, Serghei Mangul, Justin McMahon, Noeline Nakasujja, Carter Newman, Lethukuthula L. Nkambule, Ana Olivares, Catherine M Olsen, Linnet Ongeri, Sophie Parsa, Shengying Qin, Raj Ramesar, Chiara Sabatti, Jacquelyn Schneider, Christine Stevens, Anne Stevenson, Erik Stricker, Jessie Tang, Megan Townsend Verified, David Whiteman, Mary T. Yohannes, Mingrui Yu, Kai Yuan, NeuroGap-Psychosis Study, Dickens Akena, Lukoye Atwoli, Symon M Kariuki, Karestan C. Koenen, Charles Newton, Dan Stein, Solomon Teferra, Zukiswa Zingela, Carlos N. Pato, Michele Pato, Carlos Lopez-Jaramillo, Nelson B. Freimer, Roel A. Ophoff, Loes M. Olde Loohuis, Michael E. Talkowski, Benjamin M. Neale, Daniel P. Howrigan, Alicia Martin, Jacqueline I. Goldstein, Fred K. Ashaba, Amanda B. Bradway, Stella Gichuru, Marissa L. Gildea, Kalyn M. Hubbard, Wilfred E. Injera, Phillip R. Kalmbach, Joseph Kyebuzibwa, Pierre Mowlem, Henry Musinguzi, Rehema M. Mwema, Conor R. O’Neil, Adele Pretorius, Faye L. Reagan, Welelta Shiferaw, Rocky E. Stroud II
| Nature Verified
Abstract Here we developed and deployed the blended genome exome (BGE) method, a DNA library approach that generates low-pass whole-genome (1–4× mean depth) and deep whole-exome (30–40× mean depth) data in a single sequencing run. BGE is cost-effective, empowers most genomic discoveries possible with deep whole-genome sequencing and captures global common single-nucleotide polymorphism diversity.
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Identification of hub genes involved in early-onset schizophrenia: from genetic susceptibility to predicted regulated gene expression

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By Sung-Liang Yu, Po-Hsiu Kuo, Chih-Min Liu, Chen-Chung Steven Liu, Tzung-Jeng Hwang, Ming H. Hsieh, Yi-Ling Chien, Yi-Ting Lin, Hailiang Huang, Yen-Chen Anne Feng, Yen-Feng Lin, Stephen V. Faraone, Benjamin M. Neale, Stephen J Glatt, Ming T. Tsuang, Hai-Gwo Hwu, Wei Chen, Yawen Jen, Po-Chang Hsiao, Chuhsing K. Hsiao
| Nature Verified
Abstract Despite high heritability, much of the genetic architecture of schizophrenia (SZ) remains unexplained, and early-onset SZ may represent a more genetically homogeneous subtype. We examined genetically regulated expression risk scores (GeRS) to identify gene networks associated with early-onset SZ and characterize their biological functions.
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