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Lathrop, Mark

https://orcid.org/0000-0002-2660-7105

Mayo Clinic

McGill University and Génome Québec Innovation Centre

Citations 3

Transethnic Genome-Wide Association Study Provides Insights in the Genetic Architecture and Heritability of Long QT Syndrome
Lahrouchi, Najim , Crotti, Lia , Mizusawa, Yuka , Postema, Pieter G. , Beekman, Leander , Walsh, Roddy , Hasegawa, Kanae , Barc, Julien , Ernsting, Marko, Turkowski, Kari L. , Mazzanti, Andrea , Beckmann, Britt M., Diamant, Ulla‐Britt , Kucho, Yu, Robyns, Tomas , Winbo, Annika , Jabbari, Reza , Lubitz, Steven A., Steinfurt, Johannes , Rudic, Boris , Shoemaker, Moore B., Weeke, Peter , Davies, Brianna , Andorin, Antoine , Hofman, Nynke , Pedrazzini, Matteo , Tester, David J. , Bos, J. Martijn , Platonov, Pyotr G. , Stallmeyer, Birgit, Zumhagen, Sven, Nannenberg, Eline A., Veldink, Jan H., Berg, Leonard H. van den, Al‐Chalabi, Ammar , Shaw, Christopher E. , Shaw, Pamela J. , Morrison, Karen , Müller‐Nurasyid, Martina , Cusi, Daniele , Lathrop, Mark , Munter, Markus, Aung, Tin , Ozaki, Mineo , Lichtner, Peter , Tintelen, J. Peter van , Hoedemaekers, Yvonne M., Napolitano, Carlo , Gourraud, Jean‐Baptiste , Makiyama, Takeru , Ohno, Seiko , Itoh, Hideki , Roden, Dan M. , Saenen, Johan , Borggrefe, Martin, Odening, Katja E. , Ellinor, Patrick T., Tfelt‐Hansen, Jacob , Skinner, Jonathan R. , Berg, Maarten P. van den , Makita, Naomasa , Breckpot, Jeroen , Yoshinaga, Masao , Behr, Elijah R. , Rydberg, Annika , Aiba, Takeshi , Priori, Silvia G. , Newton‐Cheh, Christopher , Schulze‐Bahr, Eric , Horie, Minoru , Wilde, Arthur A.M. , Tanck, Michael W.T. , Bezzina, Connie R. , Lubitz, Steven A. , Crotti, Lia , Makita, Naomasa , Horie, Minoru , Behr, Elijah Raphael , van Tintelen, J Peter , Odening, Katja E , Bos, Johan M , Tanck, Michael , Barc, Julien , Tfelt-Hansen, Jacob , Skinner, Jonathan R , van den Berg, Maarten P , Robyns, Tomas , Lubitz, Steven A , Al-Chalabi, Ammar , Bezzina, Connie R , Gourraud, Jean-Baptiste , Mazzanti, Andrea , Postema, Pieter G , Priori, Silvia , Walsh, Roddy , Tadros, Rafik , Beckmann, Britt-Maria, Shimamoto, Keiko , Wijeyeratne, Yanushi D. , Ishikawa, Taisuke , Arbelo, Elena , Christiansen, Michael , Loeys, Bart , Pfeiffer, Ryan D. , Dagradi, Federica , Sarquella-Brugada, Georgia , Campuzano, Óscar , Berg, Leonard H. van den , Andersen, Peter Munch , Barlassina, Cristina , Galán, Pilar , Werge, Thomas Mears , Ribasés, Marta , Khor, Chiea Chuen , Meitinger, Thomas , Denjoy, Isabelle , Leenhardt, Antoine , Shimizu, Wataru , Schott, Jean‐Jacques , Ohno, Seiko , Krahn, Andrew D. , Antzelevitch, Charles , Roden, Dan M. , Ellinor, Patrick T. , Olesen, Morten S. , Brugada, Josép , Brugada, Ramón , Aiba, Takeshi , Kääb, Stefan , Guicheney, Pascale , Tan, Hanno L. , Ackerman, Michael , Schwartz, Peter J. , Probst, Vincent

Circulation | May 20, 2020 | Volume: 142 | Issue: 4 | Pages: 324-338

10.1161/circulationaha.120.045956 Get It

Background: Long QT syndrome (LQTS) is a rare genetic disorder and a major preventable cause of sudden cardiac death in the young. A causal rare genetic variant with large effect size is identified in up to 80% of probands (genotype positive) and cascade family screening shows incomplete penetrance of genetic variants. Furthermore, a proportion of cases meeting diagnostic criteria for LQTS remain genetically elusive despite genetic testing of established genes (genotype negative). These observations raise the possibility that common genetic variants with small effect size contribute to the clinical picture of LQTS. This study aimed to characterize and quantify the contribution of common genetic variation to LQTS disease susceptibility. Methods: We conducted genome-wide association studies followed by transethnic meta-analysis in 1656 unrelated patients with LQTS of European or Japanese ancestry and 9890 controls to identify susceptibility single nucleotide polymorphisms. We estimated the common variant heritability of LQTS and tested the genetic correlation between LQTS susceptibility and other cardiac traits. Furthermore, we tested the aggregate effect of the 68 single nucleotide polymorphisms previously associated with the QT-interval in the general population using a polygenic risk score. Results: Genome-wide association analysis identified 3 loci associated with LQTS at genome-wide statistical significance ( P <5×10 −8 ) near NOS1AP , KCNQ1 , and KLF12 , and 1 missense variant in KCNE1 (p.Asp85Asn) at the suggestive threshold ( P <10 −6 ). Heritability analyses showed that ≈15% of variance in overall LQTS susceptibility was attributable to common genetic variation ( h2SNP 0.148; standard error 0.019). LQTS susceptibility showed a strong genome-wide genetic correlation with the QT-interval in the general population (r g =0.40; P =3.2×10 −3 ). The polygenic risk score comprising common variants previously associated with the QT-interval in the general population was greater in LQTS cases compared with controls ( P <10−13), and it is notable that, among patients with LQTS, this polygenic risk score was greater in patients who were genotype negative compared with those who were genotype positive ( P <0.005). Conclusions: This work establishes an important role for common genetic variation in susceptibility to LQTS. We demonstrate overlap between genetic control of the QT-interval in the general population and genetic factors contributing to LQTS susceptibility. Using polygenic risk score analyses aggregating common genetic variants that modulate the QT-interval in the general population, we provide evidence for a polygenic architecture in genotype negative LQTS.
A Meta-Analysis Of Hodgkin Lymphoma Reveals 19p13.3 (TCF3) As a Novel Susceptibility Loc
Hazelett, Dennis J. , Delahaye-Sourdeix, Manon, Edlund, Christopher K., Berg, David J. Van Den, Smedby, Karin E. , Glaser, Sally L. , Westra, Harm-Jam, Mack, Thomas M. , Ghesquières, Hervé , Hwang, Amie E. , Nieters, Alexandra, Sanjosé, Sílvia de, Lightfoot, Tracy, Becker, Nikolaus, Benavente, Yolanda , Nathwani, Bharat N., Glimelius, Bengt , Staines, Anthony , Ansell, Stephen M. , Strong, Louise C. , Vatten, Lars J. , Lake, Annette, Veenstra, Rianne, Visser, Lydia , Urayama, Kevin Y. , Montgomery, Dorothy, Gaborieau, Valérie , Weiss, Lawrence M. , Lathrop, Mark , Adami, Hans‐Olov , Gallagher, Alice, Taylor, G M, Brennan, Paul , Conti, David V. , Onel, Kenan , Hjalgrim, Henrik , Berg, Anke van den , McKay, James , Li, Debiao , Hazelett, Dennis J , Conti, David V , Li, Debiao , Cozen, Wendy , Li, Dalin , Timofeeva, Maria , Diepstra, Arjan , Rostgaard, Klaus , Franke, Lude , Robison, Leslie L. , Cortessis, Victoria K. , Maynadié, Marc , Foretová, Lenka , Roman, Eve , Boffetta, Paolo , Link, Brian K. , Kiemeney, Lambertus A. , Bhatia, Ravi , Galán, Pilar , Habermann, Thomas M. , Duell, Eric J. , Byrnes, Graham , Melbye, Mads , Cerhan, James R. , Slager, Susan L. , Coetzee, Gerhard A. , Jarrett, Ruth F.

Blood | November 17, 2019 | Volume: 122 | Issue: 21 | Pages: 626-626

10.1182/blood.v122.21.626.626 Get It

Abstract Background Recent genome wide association studies (GWAS) of Hodgkin lymphoma (HL) have identified several associations at both HLA and non-HLA loci. However, much of HL heritability remains unexplained. Methods To identify novel risk loci, we performed a meta-analysis of 3 HL GWAS including a total of 1,810 cases and 7,879 controls. Results were replicated in an independent set of 1,163 cases and 2,580 controls, for a total of 3,097 and 11,097 cases and controls combined, respectively. participants in discovery and replication stages were of European descent. quality control and imputation we conducted a meta-analysis addressing 1,004,829 variants (λ= 1.10, λ1000= 1.03). Associations between SNP genotypes and HL risk were evaluated under a log-additive model of inheritance adjusting for sex, study center and significant principal components to control for population stratification. We performed an analysis with all HL cases and then conducted stratified analyses by histological subtype (classical, nodular sclerosis and mixed cellularity), age at diagnosis (nodular sclerosis among those diagnosed at 15- 35 years in all studies, and those diagnosed at 35 and older years in the European Study only) and EBV tumor status (negative and positive). We then used a bioinformatic approach (FunciSNP) to identify potential functional variants associated with HD risk correlated with risk loci of interest. We extracted publically available ENCODE data on biofeatures to identify potential functional motifs associated with the index SNP or correlated SNPs. Finally, we measured expression levels of the two alternative mRNA transcripts in lymphoblastoid cell lines (LCLs) from 49 post-therapy HL patients and 25 unaffected controls. RT-PCR was carried out in triplicate. Relative expression levels were calculated relative to TBP as housekeeping gene. Linear models were used to assess correlation between genotype and TCF3expression levels. Results The meta-analysis identified a novel susceptibility variant at chromosome 19p13.3 (rs1860661) associated with HL risk (Odds Ratio [OR]= 0.78, P=2.0*10-8, I2=0%). variant is located in intron 2 of TCF3 (also known as E2A), a regulator of B- and T-cell lineage commitment. was also significantly associated with HL (OR= 0.85, P=0.002) in the replication series of 1,281 cases and 3,218 controls. the combined analysis consisting of the discovery and replication sets, rs1860661was strongly associated with HL (OR=0.81,=3.5*10-10), with no evidence of heterogeneity between contributing studies (Phom=0.41, I2=0%). The number of G alleles defined by rs1860661 was significantly associated with a reduced risk of each HL subtype except EBV positive HL. rs1860661 and two correlated SNPs, rs10413888 (r2=0.90) and rs8103453 (r2=0.89) identified by FunciSNP analysis map in or near marks of open chromatin and in DNAse hypersensitivity sites in TCF3 in CD20+ B cell lines., the protective minor alleles of these SNPs as defined by the G-G-G haplotype map to the binding sites for ZBTB7a (rs10413888 and rs1860661) and (rs8103453) transcription factors, likely improving the binding efficiency to the sites which may result in increased transcription rates of TCF3. TCF3 is encoded by two alternative transcripts (E12 and E47). Higher expression levels of TCF3-E47, whose transcription start site is located close to rs1860661, was associated with the rs1860661-G allele in controls (P=0.02), but not in HL patients (P=0.22). Conclusion/Discussion TCF3 is essential for the commitment of lymphoid progenitors to both B-cell and T-cell lineage development. A molecular and phenotypic hallmark of classical HL is the loss of the B-cell phenotype in HRS cells, including lack of demonstrable B-cell receptor and most B-cell specific markers such as CD19 or CD20. HRS cells have a low level of TCF3, particularly homodimers of the isoform E47, due to expression of the ABF-1 and ID2 inhibitors that bind to TCF3. Thus, higher TCF3 levels in HRS precursor cells may lead to enhanced retention of the B cell phenotype, thereby conferring a protective effect. These data suggest a link between the 19p13.3 locus including TCF3 and HL risk, indicating that TCF3 could be relevant to HL etiology and pathogenesis. Disclosures: Link: Genentech: Consultancy; Millenium: Consultancy; Pharmacyclics: Consultancy; Spectrum: Consultancy.
Assessing the role of insulin‐like growth factors and binding proteins in prostate cancer using Mendelian randomization: Genetic variants as instruments for circulating levels
Bonilla, Carolina , Lewis, Sarah J. , Rowlands, Mari‐Anne, Gaunt, Tom R. , Smith, George Davey , Palmer, Tom , Donovan, Jenny , Hamdy, Freddie C. , Neal, David E. , Eeles, Rosalind A. , Easton, Doug , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Giles, Graham G. , Grönberg, Henrik , Haiman, Christopher A. , Schleutker, Johanna , Nordestgaard, Børge G. , Travis, Ruth C. , Pashayan, Nora , Stanford, Janet L. , Blot, William J. , Thibodeau, Stephen N. , Maier, Christiane, Kibel, Adam S. , Cannon‐Albright, Lisa , Brenner, Hermann , Kaneva, Radka , Batra, Jyotsna , Teixeira, Manuel R. , Pandha, Hardev , Lathrop, Mark , Martin, Richard M. , Holly, Jeff M.P. , Thibodeau, Stephen, Gunnell, David , Kote‐Jarai, Zsofia , Wiklund, Fredrik E. , Khaw, Kay‐Tee , Cybulski, Cezary , Park, Jong Moon , Giles, Graham G , Teixeira, Manuel R , Eeles, Rosalind A , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Cannon-Albright, Lisa A , Brenner, Hermann , Martin, Richard M , Batra, Jyotsna , Davey Smith, George

International Journal of Cancer | May 26, 2016 | Volume: 139 | Issue: 7 | Pages: 1520-1533

10.1002/ijc.30206 Get It

Circulating insulin‐like growth factors (IGFs) and their binding proteins (IGFBPs) are associated with prostate cancer. Using genetic variants as instruments for IGF peptides, we investigated whether these associations are likely to be causal. We identified from the literature 56 single nucleotide polymorphisms (SNPs) in the IGF axis previously associated with biomarker levels (8 from a genome‐wide association study [GWAS] and 48 in reported candidate genes). In ∼700 men without prostate cancer and two replication cohorts (N ∼ 900 and ∼9,000), we examined the properties of these SNPS as instrumental variables (IVs) for IGF‐I, IGF‐II, IGFBP‐2 and IGFBP‐3. Those confirmed as strong IVs were tested for association with prostate cancer risk, low (< 7) vs. high (≥ 7) Gleason grade, localised vs. advanced stage, and mortality, in 22,936 controls and 22,992 cases. IV analysis was used in an attempt to estimate the causal effect of circulating IGF peptides on prostate cancer. Published SNPs in the IGFBP1/IGFBP3 gene region, particularly rs11977526, were strong instruments for IGF‐II and IGFBP‐3, less so for IGF‐I. Rs11977526 was associated with high (vs. low) Gleason grade (OR per IGF‐II/IGFBP‐3 level‐raising allele 1.05; 95% CI: 1.00, 1.10). Using rs11977526 as an IV we estimated the causal effect of a one SD increase in IGF‐II (∼265 ng/mL) on risk of high vs. low grade disease as 1.14 (95% CI: 1.00, 1.31). Because of the potential for pleiotropy of the genetic instruments, these findings can only causally implicate the IGF pathway in general, not any one specific biomarker.