Literature DB >> 32569378

Coinherited genetics of multiple myeloma and its precursor, monoclonal gammopathy of undetermined significance.

Alyssa I Clay-Gilmour1,2, Michelle A T Hildebrandt3, Elizabeth E Brown4, Jonathan N Hofmann5, John J Spinelli6,7, Graham G Giles8,9,10, Wendy Cozen11, Parveen Bhatti12,13, Xifeng Wu3, Rosalie G Waller14, Alem A Belachew3, Dennis P Robinson15, Aaron D Norman1,15, Jason P Sinnwell15, Sonja I Berndt5, S Vincent Rajkumar16, Shaji K Kumar16, Stephen J Chanock5, Mitchell J Machiela5, Roger L Milne8,9,10, Susan L Slager15, Nicola J Camp14, Elad Ziv17, Celine M Vachon1.   

Abstract

So far, 23 germline susceptibility loci have been associated with multiple myeloma (MM) risk. It is unclear whether the genetic variation associated with MM susceptibility also predisposes to its precursor, monoclonal gammopathy of undetermined significance (MGUS). Leveraging 2434 MM cases, 754 MGUS cases, and 2 independent sets of controls (2567/879), we investigated potential shared genetic susceptibility of MM and MGUS by (1) performing MM and MGUS genome-wide association studies (GWAS); (2) validating the association of a polygenic risk score (PRS) based on 23 established MM loci (MM-PRS) with risk of MM, and for the first time with MGUS; and (3) examining genetic correlation of MM and MGUS. Heritability and genetic estimates yielded 17% (standard error [SE] ±0.04) and 15% (SE ±0.11) for MM and MGUS risk, respectively, and a 55% (SE ±0.30) genetic correlation. The MM-PRS was associated with risk of MM when assessed continuously (odds ratio [OR], 1.17 per SD; 95% confidence interval [CI], 1.13-1.21) or categorically (OR, 1.70; 95% CI, 1.38-2.09 for highest; OR, 0.71; 95% CI, 0.55-0.90 for lowest compared with middle quintile). The MM-PRS was similarly associated with MGUS (OR, 1.19 per SD; 95% CI, 1.14-1.26 as a continuous measure, OR, 1.77, 95%CI: 1.29-2.43 for highest and OR, 0.70, 95%CI: 0.50-0.98 for lowest compared with middle quintile). MM and MGUS associations did not differ by age, sex, or MM immunoglobulin isotype. We validated a 23-SNP MM-PRS in an independent series of MM cases and provide evidence for its association with MGUS. Our results suggest shared common genetic susceptibility to MM and MGUS.

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Year:  2020        PMID: 32569378      PMCID: PMC7322948          DOI: 10.1182/bloodadvances.2020001435

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  67 in total

1.  Contribution of factor VII genotype to activated FVII levels. Differences in genotype frequencies between northern and southern European populations.

Authors:  F Bernardi; P Arcieri; R M Bertina; F Chiarotti; J Corral; M Pinotti; H Prydz; M Samama; P M Sandset; R Strom; V V Garcia; G Mariani
Journal:  Arterioscler Thromb Vasc Biol       Date:  1997-11       Impact factor: 8.311

Review 2.  MGUS to myeloma: a mysterious gammopathy of underexplored significance.

Authors:  Madhav V Dhodapkar
Journal:  Blood       Date:  2016-10-13       Impact factor: 22.113

3.  Direct evidence for a polygenic etiology in familial multiple myeloma.

Authors:  Britt-Marie Halvarsson; Anna-Karin Wihlborg; Mina Ali; Konstantinos Lemonakis; Ellinor Johnsson; Abhishek Niroula; Carrie Cibulskis; Niels Weinhold; Asta Försti; Evren Alici; Christian Langer; Michael Pfreundschuh; Hartmut Goldschmidt; Ulf-Henrik Mellqvist; Ingemar Turesson; Anders Waage; Kari Hemminki; Todd Golub; Hareth Nahi; Urban Gullberg; Markus Hansson; Björn Nilsson
Journal:  Blood Adv       Date:  2017-04-07

4.  Prevalence of monoclonal gammopathy of undetermined significance.

Authors:  Robert A Kyle; Terry M Therneau; S Vincent Rajkumar; Dirk R Larson; Matthew F Plevak; Janice R Offord; Angela Dispenzieri; Jerry A Katzmann; L Joseph Melton
Journal:  N Engl J Med       Date:  2006-03-30       Impact factor: 91.245

5.  Risk of plasma cell and lymphoproliferative disorders among 14621 first-degree relatives of 4458 patients with monoclonal gammopathy of undetermined significance in Sweden.

Authors:  Ola Landgren; Sigurdur Y Kristinsson; Lynn R Goldin; Neil E Caporaso; Cecilie Blimark; Ulf-Henrik Mellqvist; Anders Wahlin; Magnus Bjorkholm; Ingemar Turesson
Journal:  Blood       Date:  2009-01-30       Impact factor: 22.113

6.  Familial myeloma.

Authors:  Henry T Lynch; Kelly Ferrara; Bart Barlogie; Elizabeth A Coleman; Jane F Lynch; Dennis Weisenburger; Warren Sanger; Patrice Watson; Henry Nipper; Vinetta Witt; Stephan Thomé
Journal:  N Engl J Med       Date:  2008-07-10       Impact factor: 91.245

7.  Multiple myeloma and family history of cancer. A case-control study.

Authors:  C C Bourguet; S Grufferman; E Delzell; E R DeLong; H J Cohen
Journal:  Cancer       Date:  1985-10-15       Impact factor: 6.860

8.  Common variation at 3q26.2, 6p21.33, 17p11.2 and 22q13.1 influences multiple myeloma risk.

Authors:  Daniel Chubb; Niels Weinhold; Peter Broderick; Bowang Chen; David C Johnson; Asta Försti; Jayaram Vijayakrishnan; Gabriele Migliorini; Sara E Dobbins; Amy Holroyd; Dirk Hose; Brian A Walker; Faith E Davies; Walter A Gregory; Graham H Jackson; Julie A Irving; Guy Pratt; Chris Fegan; James Al Fenton; Kai Neben; Per Hoffmann; Markus M Nöthen; Thomas W Mühleisen; Lewin Eisele; Fiona M Ross; Christian Straka; Hermann Einsele; Christian Langer; Elisabeth Dörner; James M Allan; Anna Jauch; Gareth J Morgan; Kari Hemminki; Richard S Houlston; Hartmut Goldschmidt
Journal:  Nat Genet       Date:  2013-08-18       Impact factor: 38.330

9.  Common variation at 3p22.1 and 7p15.3 influences multiple myeloma risk.

Authors:  Peter Broderick; Daniel Chubb; David C Johnson; Niels Weinhold; Asta Försti; Amy Lloyd; Bianca Olver; Yussanne Ma; Sara E Dobbins; Brian A Walker; Faith E Davies; Walter A Gregory; J Anthony Childs; Fiona M Ross; Graham H Jackson; Kai Neben; Anna Jauch; Per Hoffmann; Thomas W Mühleisen; Markus M Nöthen; Susanne Moebus; Ian P Tomlinson; Hartmut Goldschmidt; Kari Hemminki; Gareth J Morgan; Richard S Houlston
Journal:  Nat Genet       Date:  2011-11-27       Impact factor: 38.330

10.  Evaluation of polygenic risk scores for ovarian cancer risk prediction in a prospective cohort study.

Authors:  Xin Yang; Goska Leslie; Aleksandra Gentry-Maharaj; Andy Ryan; Maria Intermaggio; Andrew Lee; Jatinderpal K Kalsi; Jonathan Tyrer; Faiza Gaba; Ranjit Manchanda; Paul D P Pharoah; Simon A Gayther; Susan J Ramus; Ian Jacobs; Usha Menon; Antonis C Antoniou
Journal:  J Med Genet       Date:  2018-05-05       Impact factor: 6.318

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  4 in total

1.  Genome-wide meta-analysis of monoclonal gammopathy of undetermined significance (MGUS) identifies risk loci impacting IRF-6.

Authors:  Alyssa Clay-Gilmour; Subhayan Chattopadhyay; Celine M Vachon; Kari Hemminki; Michelle A T Hildebrandt; Hauke Thomsen; Niels Weinhold; Pavel Vodicka; Ludmila Vodickova; Per Hoffmann; Markus M Nöthen; Karl-Heinz Jöckel; Börge Schmidt; Christian Langer; Roman Hajek; Göran Hallmans; Ulrika Pettersson-Kymmer; Claes Ohlsson; Florentin Späth; Richard Houlston; Hartmut Goldschmidt; Elisabet E Manasanch; Aaron Norman; Shaji Kumar; S Vincent Rajkumar; Susan Slager; Asta Försti
Journal:  Blood Cancer J       Date:  2022-04-13       Impact factor: 11.037

2.  Germline variants at SOHLH2 influence multiple myeloma risk.

Authors:  Laura Duran-Lozano; Gudmar Thorleifsson; Aitzkoa Lopez de Lapuente Portilla; Abhishek Niroula; Molly Went; Malte Thodberg; Maroulio Pertesi; Ram Ajore; Caterina Cafaro; Pall I Olason; Lilja Stefansdottir; G Bragi Walters; Gisli H Halldorsson; Ingemar Turesson; Martin F Kaiser; Niels Weinhold; Niels Abildgaard; Niels Frost Andersen; Ulf-Henrik Mellqvist; Anders Waage; Annette Juul-Vangsted; Unnur Thorsteinsdottir; Markus Hansson; Richard Houlston; Thorunn Rafnar; Kari Stefansson; Björn Nilsson
Journal:  Blood Cancer J       Date:  2021-04-19       Impact factor: 11.037

Review 3.  Genome Instability in Multiple Myeloma: Facts and Factors.

Authors:  Anna Y Aksenova; Anna S Zhuk; Artem G Lada; Irina V Zotova; Elena I Stepchenkova; Ivan I Kostroma; Sergey V Gritsaev; Youri I Pavlov
Journal:  Cancers (Basel)       Date:  2021-11-26       Impact factor: 6.639

4.  A genetic risk score of alleles related to MGUS interacts with socioeconomic position in a population-based cohort.

Authors:  Lisa Baak; Mirjam Frank; Jan Dürig; Ulrich Dührsen; Per Hoffmann; Markus M Nöthen; Nico Dragano; Raimund Erbel; Karl-Heinz Jöckel; Börge Schmidt
Journal:  Sci Rep       Date:  2022-03-15       Impact factor: 4.379

  4 in total

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