Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry

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Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. / Baughn, Linda B; Pearce, Kathryn; Larson, Dirk; Polley, Mei-Yin; Elhaik, Eran; Baird, Michael; Colby, Colin; Benson, Joanne; Li, Zhuo; Asmann, Yan; Therneau, Terry; Cerhan, James R; Vachon, Celine M; Stewart, A Keith; Bergsagel, P Leif; Dispenzieri, Angela; Kumar, Shaji; Rajkumar, S Vincent.

In: Blood Cancer Journal, Vol. 8, 96 (2018), 10.10.2018.

Research output: Contribution to journalArticle

Harvard

Baughn, LB, Pearce, K, Larson, D, Polley, M-Y, Elhaik, E, Baird, M, Colby, C, Benson, J, Li, Z, Asmann, Y, Therneau, T, Cerhan, JR, Vachon, CM, Stewart, AK, Bergsagel, PL, Dispenzieri, A, Kumar, S & Rajkumar, SV 2018, 'Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry', Blood Cancer Journal, vol. 8, 96 (2018). https://doi.org/10.1038/s41408-018-0132-1

APA

CBE

Baughn LB, Pearce K, Larson D, Polley M-Y, Elhaik E, Baird M, Colby C, Benson J, Li Z, Asmann Y, Therneau T, Cerhan JR, Vachon CM, Stewart AK, Bergsagel PL, Dispenzieri A, Kumar S, Rajkumar SV. 2018. Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. Blood Cancer Journal. 8. https://doi.org/10.1038/s41408-018-0132-1

MLA

Vancouver

Author

Baughn, Linda B ; Pearce, Kathryn ; Larson, Dirk ; Polley, Mei-Yin ; Elhaik, Eran ; Baird, Michael ; Colby, Colin ; Benson, Joanne ; Li, Zhuo ; Asmann, Yan ; Therneau, Terry ; Cerhan, James R ; Vachon, Celine M ; Stewart, A Keith ; Bergsagel, P Leif ; Dispenzieri, Angela ; Kumar, Shaji ; Rajkumar, S Vincent. / Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. In: Blood Cancer Journal. 2018 ; Vol. 8.

RIS

TY - JOUR

T1 - Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry

AU - Baughn, Linda B

AU - Pearce, Kathryn

AU - Larson, Dirk

AU - Polley, Mei-Yin

AU - Elhaik, Eran

AU - Baird, Michael

AU - Colby, Colin

AU - Benson, Joanne

AU - Li, Zhuo

AU - Asmann, Yan

AU - Therneau, Terry

AU - Cerhan, James R

AU - Vachon, Celine M

AU - Stewart, A Keith

AU - Bergsagel, P Leif

AU - Dispenzieri, Angela

AU - Kumar, Shaji

AU - Rajkumar, S Vincent

PY - 2018/10/10

Y1 - 2018/10/10

N2 - Multiple myeloma (MM) is two- to three-fold more common in African Americans (AAs) compared to European Americans (EAs). This striking disparity, one of the highest of any cancer, may be due to underlying genetic predisposition between these groups. There are multiple unique cytogenetic subtypes of MM, and it is likely that the disparity is associated with only certain subtypes. Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry, which may result in bias. To mitigate these difficulties, we studied 881 patients with monoclonal gammopathies who had undergone uniform testing to identify primary cytogenetic abnormalities. DNA from bone marrow samples was genotyped on the Precision Medicine Research Array and biogeographical ancestry was quantitatively assessed using the Geographic Population Structure Origins tool. The probability of having one of three specific subtypes, namely t(11;14), t(14;16), or t(14;20) was significantly higher in the 120 individuals with highest African ancestry (≥80%) compared with the 235 individuals with lowest African ancestry (<0.1%) (51% vs. 33%, respectively, p value = 0.008). Using quantitatively measured African ancestry, we demonstrate a major proportion of the racial disparity in MM is driven by disparity in the occurrence of the t(11;14), t(14;16), and t(14;20) types of MM.

AB - Multiple myeloma (MM) is two- to three-fold more common in African Americans (AAs) compared to European Americans (EAs). This striking disparity, one of the highest of any cancer, may be due to underlying genetic predisposition between these groups. There are multiple unique cytogenetic subtypes of MM, and it is likely that the disparity is associated with only certain subtypes. Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry, which may result in bias. To mitigate these difficulties, we studied 881 patients with monoclonal gammopathies who had undergone uniform testing to identify primary cytogenetic abnormalities. DNA from bone marrow samples was genotyped on the Precision Medicine Research Array and biogeographical ancestry was quantitatively assessed using the Geographic Population Structure Origins tool. The probability of having one of three specific subtypes, namely t(11;14), t(14;16), or t(14;20) was significantly higher in the 120 individuals with highest African ancestry (≥80%) compared with the 235 individuals with lowest African ancestry (<0.1%) (51% vs. 33%, respectively, p value = 0.008). Using quantitatively measured African ancestry, we demonstrate a major proportion of the racial disparity in MM is driven by disparity in the occurrence of the t(11;14), t(14;16), and t(14;20) types of MM.

KW - Adult

KW - African Continental Ancestry Group/genetics

KW - Aged

KW - Aged, 80 and over

KW - Chromosome Aberrations

KW - Chromosome Banding

KW - Disease Progression

KW - Female

KW - Gene Rearrangement

KW - Genes, myc

KW - Genetic Variation

KW - Humans

KW - In Situ Hybridization, Fluorescence

KW - Male

KW - Middle Aged

KW - Odds Ratio

KW - Paraproteinemias/diagnosis

U2 - 10.1038/s41408-018-0132-1

DO - 10.1038/s41408-018-0132-1

M3 - Article

VL - 8

JO - Blood Cancer Journal

JF - Blood Cancer Journal

SN - 2044-5385

M1 - 96 (2018)

ER -