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Daly, Mark

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Daly

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Mark

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Daly, Mark

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Now showing 1 - 4 of 4
  • Publication

    Genome-Wide Enhancer Maps Link Risk Variants to Disease Genes

    (Springer Science and Business Media LLC, 2021-04-07) Nasser, Joseph; Bergman, Drew T.; Fulco, Charles P.; Guckelberger, Philine; Doughty, Benjamin; Patwardhan, Tejal A.; Jones, Thouis; Nguyen, Tung; Ulirsch, Jacob; Lekschas, Fritz; Mualim, Kristy; Natri, Heini M.; Weeks, Elle M.; Munson, Glen; Kane, Michael; Kang, Helen Y.; Cui, Ang; Ray, John P.; Eisenhaure, Thomas M.; Collins, Ryan; Dey, Kushal; Pfister, Hanspeter; Price, Alkes; Epstein, Charles; Kundaje, Anshul; Xavier, Ramnik; Daly, Mark; Huang, Hailiang; Finucane, Hilary; Hacohen, Nir; Lander, Eric; Engreitz, Jesse
  • Publication

    Mono- and Biallelic Variant Effects on Disease at Biobank Scale

    (Springer Science and Business Media LLC, 2023-01-18) Heyne, Henrike; Karjalainen, Juha; Karczewski, Konrad; Lemmelä, Susanna; Zhou, Wei; Havulinna, Aki S.; Kurki, Mitja; Rehm, Heidi; Palotie, Aarno; Daly, Mark

    Identifying causal factors for Mendelian and common diseases is an ongoing challenge in medical genetics 1 . Population bottleneck events, such as in the Finnish population history, enrich some homozygous variants to higher frequencies which facilitates the identification of variants that cause disease with recessive inheritance 2,3 . Here, we study homozygous and heterozygous effects of 44,370 coding variants on 2,444 disease phenotypes using nationwide electronic health record (EHR) data of 176,899 Finns. We find associations for homozygous genotypes across a broad spectrum of phenotypes including known associations to retinal dystrophy, and novel associations to adult-onset cataract and female infertility. 13/20 of recessive disease associations would have been missed by the additive model traditionally used in genome-wide association studies (GWAS). We further use these results to find many known Mendelian variants whose inheritance cannot be adequately described by a traditional definition of dominant or recessive. In particular, we find significant heterozygous effects of variants known to cause disease with recessive inheritance, as well as for reported benign variants. Our results demonstrate how biobanks, particularly in founder populations, can broaden our understanding of the sometimes more complex dosage effects of Mendelian variants on disease.

  • Publication

    Exome Sequencing in Schizophrenia-Affected Parent–offspring Trios Reveals Risk Conferred by Protein-Coding De Novo Mutations

    (Springer Science and Business Media LLC, 2020-01-13) Howrigan, Daniel; Rose, Samuel A.; Samocha, Kaitlin E.; Fromer, Menachem; Cerrato, Felecia; Chen, Wei J.; Churchhouse, Claire; Chambert, Kimberly; Chandler, Sharon D.; Daly, Mark; Dumont, Ashley; Genovese, Giulio; Hwu, Hai-Gwo; Laird, Nan; Kosmicki, Jack; Moran, Jennifer L.; Singh, Tarjinder; McCarroll, Steven; Faraone, Stephen V.; Glatt, Stephen J.; Tsuang, Ming; Neale, Benjamin

    Protein-coding de novo mutations (DNMs) are significant risk factors in many neurodevelopmental disorders, whereas association with schizophrenia (SCZ) risk thus far has been modest. We analyze whole-exome sequence from 1,695 SCZ affected trios along with DNMs from 1,077 published SCZ trios to better understand their contribution to SCZ risk. Among 2,772 SCZ probands, exome-wide DNM burden remains modest. Gene set analyses reveal that SCZ DNMs are significantly concentrated in genes either highly brain expressed, under strong evolutionary constraint, and/or overlap with genes identified in other neurodevelopmental disorders. No single gene surpasses exome-wide significance, however sixteen genes are recurrently hit by protein-truncating DNMs, a 3.15-fold higher rate than the mutation model expectation (permuted 95% CI=1-10 genes, permuted p=3e-5). Overall, DNMs explain only a small fraction of SCZ risk, and larger samples are needed to identify individual risk genes, as coding variation across many genes confer risk for SCZ in the population.

  • Publication

    Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection

    (Springer Science and Business Media LLC, 2021-06) Zekavat, Seyedeh M.; Lin, Shu-Hong; Bick, Alexander G.; Liu, Aoxing; Paruchuri, Kaavya; Wang, Chen; Uddin, Md Mesbah; Ye, Yixuan; Yu, Zhaolong; Liu, Xiaoxi; Kamatani, Yoichiro; Bhattacharya, Romit; Pirruccello, James; Pampana, Akhil; Loh, Po-Ru; Kohli, Puja; McCarroll, Steven; Kiryluk, Krzysztof; Neale, Benjamin; Ionita-Laza, Iuliana; Engels, Eric; Brown, Derek W.; Smoller, Jordan; Green, Robert; Karlson, Elizabeth; Lebo, Matthew; Ellinor, Patrick; Weiss, Scott; Daly, Mark; Terao, Chikashi; Zhao, Hongyu; Ebert, Benjamin; Reilly, Muredach; Ganna, Andrea; Machiela, Mitchell; Genovese, Giulio; Natarajan, Pradeep

    The burden of mosaic chromosomal alterations in blood-derived DNA, a type of clonal hematopoiesis, is associated with an increased risk for diverse types of infections, including sepsis and pneumonia. Age is the dominant risk factor for infectious diseases, but the mechanisms linking age to infectious disease risk are incompletely understood. Age-related mosaic chromosomal alterations (mCAs) detected from genotyping of blood-derived DNA, are structural somatic variants indicative of clonal hematopoiesis, and are associated with aberrant leukocyte cell counts, hematological malignancy, and mortality. Here, we show that mCAs predispose to diverse types of infections. We analyzed mCAs from 768,762 individuals without hematological cancer at the time of DNA acquisition across five biobanks. Expanded autosomal mCAs were associated with diverse incident infections (hazard ratio (HR) 1.25; 95% confidence interval (CI) = 1.15-1.36; P = 1.8 x 10(-7)), including sepsis (HR 2.68; 95% CI = 2.25-3.19; P = 3.1 x 10(-28)), pneumonia (HR 1.76; 95% CI = 1.53-2.03; P = 2.3 x 10(-15)), digestive system infections (HR 1.51; 95% CI = 1.32-1.73; P = 2.2 x 10(-9)) and genitourinary infections (HR 1.25; 95% CI = 1.11-1.41; P = 3.7 x 10(-4)). A genome-wide association study of expanded mCAs identified 63 loci, which were enriched at transcriptional regulatory sites for immune cells. These results suggest that mCAs are a marker of impaired immunity and confer increased predisposition to infections.