Machine learning–based penetrance of genetic variants.

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Title: Machine learning–based penetrance of genetic variants.
Authors: Forrest, Iain S.1,2,3,4, Vy, Ha My T.1,3,4, Rocheleau, Ghislain1,3,4, Jordan, Daniel M.1,3,4, Petrazzini, Ben O.1,3,4, Nadkarni, Girish N.1,4,5, Cho, Judy H.5, Ganapathi, Mythily6, Huang, Kuan-Lin3, Chung, Wendy K.7, Do, Ron1,3,4 ron.do@mssm.edu
Source: Science. 8/28/2025, Vol. 389 Issue 6763, p1-14. 14p.
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  Data: Machine learning–based penetrance of genetic variants.
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  Data: <searchLink fieldCode="AR" term="%22Forrest%2C+Iain+S%2E%22">Forrest, Iain S.</searchLink><relatesTo>1,2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Vy%2C+Ha+My+T%2E%22">Vy, Ha My T.</searchLink><relatesTo>1,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Rocheleau%2C+Ghislain%22">Rocheleau, Ghislain</searchLink><relatesTo>1,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Jordan%2C+Daniel+M%2E%22">Jordan, Daniel M.</searchLink><relatesTo>1,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Petrazzini%2C+Ben+O%2E%22">Petrazzini, Ben O.</searchLink><relatesTo>1,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Nadkarni%2C+Girish+N%2E%22">Nadkarni, Girish N.</searchLink><relatesTo>1,4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Cho%2C+Judy+H%2E%22">Cho, Judy H.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Ganapathi%2C+Mythily%22">Ganapathi, Mythily</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Huang%2C+Kuan-Lin%22">Huang, Kuan-Lin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Chung%2C+Wendy+K%2E%22">Chung, Wendy K.</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Do%2C+Ron%22">Do, Ron</searchLink><relatesTo>1,3,4</relatesTo><i> ron.do@mssm.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Science%22">Science</searchLink>. 8/28/2025, Vol. 389 Issue 6763, p1-14. 14p.
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        Value: 10.1126/science.adm7066
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              Text: 8/28/2025
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