We detail a scheme for scalable, distributed, secure multiparty linear regression at essentially the same speed as plaintext regression. While the core ideas are simple, the recognition of their broad utility when combined is novel. By leveraging a recent advance in secure multiparty principal component analysis, our scheme opens the door to efficient and secure genome-wide association studies across multiple biobanks.